Figures
Abstract
Background
Canine Chagas disease is caused by the protozoan parasite Trypanosoma cruzi and transmitted by insect triatomine vectors known as kissing bugs. The agent can cause cardiac damage and long-term heart disease and death in humans, dogs, and other mammals. In laboratory settings, treatment of dogs with systemic insecticides has been shown to be highly efficacious at killing triatomines that feed on treated dogs.
Method
We developed compartmental vector-host models of T. cruzi transmission between the triatomine and dog population accounting for the impact of seasonality and triatomine migration on disease transmission dynamics. We considered a single vector-host model without seasonality, and model with seasonality, and a spatially coupled model. We used the models to evaluate the effectiveness of the insecticide fluralaner with different durations of treatment regimens for reducing T. cruzi infection in different transmission settings.
Results
In low and medium transmission settings, our model showed a marginal difference between the 3-month and 6-month regimens for reducing T. cruzi infection among dogs. The difference increases in the presence of seasonality and triatomine migration from a sylvatic transmission setting. In high transmission settings, the 3-month regimen was substantially more effective in reducing T. cruzi infections in dogs than the other regimens. Our model showed that increased migration rate reduces fluralaner effectiveness in all treatment regimens, but the relative reduction in effectiveness is minimal during the first years of treatment. However, if an additional 10% or more of triatomines killed by dog treatment were eaten by dogs, treatment could increase T. cruzi infections in the dog population at least during the first year of treatment.
Conclusion
Our analysis shows that treating all peridomestic dogs every three to six months for at least five years could be an effective measure to reduce T. cruzi infections in dogs and triatomines in peridomestic transmission settings. However, further studies at the local scale are needed to better understand the potential impact of routine use of fluralaner treatment on increasing dogs’ consumption of dead triatomines.
Author summary
Chagas disease- caused by the protozoan parasite Trypanosoma cruzi and vectored by triatomine insects- poses a serious threat to human and dog health, as infection may go undetected and cause heart disease. Systemic insecticide treatment of dogs is one proposed One Health intervention to reduce T. cruzi transmission for both dogs and humans, given that dogs are parasite reservoirs. Fluralaner, a systemic insecticide commonly administered to dogs to prevent ectoparasites such as fleas and ticks, induces mortality of triatomines in laboratory settings. We investigated the efficacy of different fluralaner treatment regimens in three endemic peridomestic transmission environments (high, medium, and low) for lowering triatomine density, T. cruzi infection prevalence, and incidence among dogs using mathematical models. Our simulations suggest that fluralaner treatment is an effective method of reducing T. cruzi transmission to dogs, and the ideal frequency to treat dogs with fluralaner depends on the transmission environment. Given the intervention may increase the abundance of dead vectors in the dog’s environment, empirical data are needed on the duration of parasite viability within dead vectors and frequency of canine consumption of dead vectors for a more comprehensive evaluation of the intervention.
Citation: Fiatsonu E, Busselman RE, Hamer GL, Hamer SA, Ndeffo-Mbah ML (2023) Effectiveness of fluralaner treatment regimens for the control of canine Chagas disease: A mathematical modeling study. PLoS Negl Trop Dis 17(1): e0011084. https://doi.org/10.1371/journal.pntd.0011084
Editor: Luisa Magalhães, Universidade Federal de Minas Gerais, BRAZIL
Received: July 15, 2022; Accepted: January 9, 2023; Published: January 24, 2023
Copyright: © 2023 Fiatsonu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are provided within the manuscript and its Supporting Information files. The MatLab codes are made available in S1 MatLab-codes file.
Funding: The authors gratefully acknowledge funding from the Texas A&M AgriLife Research for MLNM, SAH, and GLH, USDA NIFA Animal Health and Disease Research Capacity Funding for SAH and GLH, and the American Kennel Club Canine Health Foundation Grant No. 02980 for SAH and GLH. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Chagas disease is a neglected tropical disease that affects approximately 6 million people and is endemic to 21 countries in the Americas [1]. Trypanosoma cruzi, the causative agent of Chagas disease, can cause severe cardiac and gastrointestinal disease in humans and other animals [2,3]. It is vectored by triatomine insects (‘kissing bugs’) and is primarily transmitted by infected triatomine fecal material when introduced to a bite wound during or after feeding, or when the infected triatomine or fecal material is consumed [2].
Trypanosoma cruzi transmission involves complex interactions between the parasite, multiple host species, and sylvatic vector populations [4,5]. As generalist vectors, triatomines feed on a broad range of domestic and wild mammals and other vertebrate species, each with varying roles in maintaining T. cruzi transmission cycles [5,6,7,8,9,10]. In domestic cycles of T. cruzi transmission, triatomines colonize human habitations and feed primarily on humans and domestic animals, while in the sylvatic cycle of transmission, triatomines live in nests or burrows, feeding on diverse wildlife species. In the peridomestic environment- characterized by man-made or natural structures near both human dwellings and natural habitats- T. cruzi transmission is maintained by populations of triatomines that feed on species often associated with such dwellings, like dogs [11].
The domestic transmission setting has been heavily studied in Latin America, where several local and abundant triatomine species are considered domesticated and frequently colonize homes [12,13,14]. In the southern United States, the triatomine species are considered primarily sylvatic, with an increasing awareness of their impact in peridomestic settings [15,16,17].
In the peridomestic environment, dogs are key bloodmeal hosts for triatomines and serve as competent hosts for T. cruzi transmission [18,19,20]. Throughout the southern United States, domestic, service, hunting, and government working dog populations have a high prevalence and risk of infection with T. cruzi. Studies have shown that T. cruzi prevalence in kennel or shelter environments across Texas, Oklahoma, and Louisiana range from 3.6%-70.1% of dogs infected [19,21,22,23]. Dogs with Chagas disease can develop acute cardiac abnormalities associated with long-term cardiac damage or death, or may remain asymptomatic for years [24]. Prevention of disease is focused on reducing canine exposure to the vectors.
Insecticides play a key role in efforts to control triatomine populations and have been primarily employed as residual sprays in domestic and peridomestic environments [14,25]. Given the concern about insecticide resistance from widespread treatments of homes and the peridomestic environment, systemic insecticides (a.k.a. ectoparasiticides and xenointoxication), which rely on the application of insecticides directly to domestic animals to target triatomines, emerged as an alternative strategy to consider [26]. Multiple studies have now investigated systemic insecticides as a method of using domestic hosts to control triatomine populations and reduce the risk of human T. cruzi infection [27,28,29,30]. These insecticides, given or applied to a dog, expose any triatomine that feeds on the dog to the insecticide. Bravecto (fluralaner), an oral systemic insecticide treatment given to dogs, inhibits GABA-gated chloride channels and L-glutamate-gated chloride channels in the nervous system of affected insects [31]. It induces nearly 100% mortality in Triatoma infestans and Rhodnius prolixus- two key triatomine species in T. cruzi transmission- within a few days of feeding on treated blood and, uniquely, continues killing triatomines up to 7 months after treatment [28,29,32,33]. Fluralaner has also been successfully deployed in the field, significantly reducing infestations and abundance of T. infestans in the domestic transmission cycle [30]. Further, a prior mathematical modeling study based on the Ross-McDonald malaria model showed that annual treatment of dogs with fluralaner may be impactful in reducing infection rates of dogs in high transmission settings, but may be detrimental in low transmission settings when dog consumption of insects increases following xenointoxication [34]. Targeting dog populations with systemic insecticides in a peridomestic transmission setting may provide a method of triatomine control in areas where dogs are encountering triatomines, which may lead to a reduction in the risk of T. cruzi infection to dogs, thereby protecting canine health.
For decades, mathematical modeling has been utilized to improve our understanding of T. cruzi transmission dynamics, often in domestic settings with an emphasis on protecting human health [35,36,37,38,39,40,41,42]. Such efforts have identified reducing domestic vectorial transmission as key to reducing the incidence of Chagas disease in humans [43,44]. Further, housing animals- including dogs- in homes has been linked to an increased risk of T. cruzi infection in humans [4,45,46,47,48,49,50].
Models investigating sylvatic transmission cycles have been developed to incorporate the multiple sylvatic hosts available, advancing our understanding of interactions between hosts, vectors, and T. cruzi and highlighting both vector-fecal and oral transmission pathways [42,51,52,53,54,55,56,57]. In peridomestic settings where dogs are the main hosts, host-targeted interventions may provide a valuable tool to reduce triatomine populations and canine exposure to T. cruzi. Mathematical modeling can provide insight into the peridomestic cycle of T. cruzi- transmission and the potential population-level effects of host-targeted interventions, specifically when dogs are the primary host.
In this study, we developed a series of compartmental models to evaluate transmission dynamics between triatomines and dogs in the peridomestic environment, considering the seasonality of triatomine vectors, varying prevalence of T. cruzi infections in dogs and triatomines, and the potential impact of triatomine migration between peridomestic and sylvatic transmission settings. We then used our models to evaluate the effectiveness of different treatment regimens of the systemic insecticide fluralaner for the control of reducing triatomine populations and T. cruzi infections. Based on the findings in Rokhsar et al. [34], we also consider the potential impact of increased consumption of triatomines and oral transmission when fluralaner is routinely given to dogs.
Methods
Model structure
We developed three compartmental vector-host SI (Susceptible-Infected) models for the transmission of T. cruzi between triatomines and dogs. The models are: (1) a baseline model that does not account for the impact of seasonality on triatomine dynamics, (2) a seasonality model that explicitly accounts for the impact of seasonality on triatomine dynamics, and (3) a spatially coupled model accounting for the movement of triatomine between peridomestic and sylvatic habitats. We used these models to evaluate the population-level effectiveness of different dog systemic insecticide treatment regimens on T. cruzi prevalence in dogs and triatomine populations in different T. cruzi transmission settings.
Single vector-host population model
Here, we consider a model with a single vector-host population for the transmission of T. cruzi between triatomines and peridomestic dogs. Like most Chagas disease models [35,43,45,46,51,58], here we ignore the impact of seasonality on triatomine dynamics by assuming all model parameters to be constant over time. We used an age-structured model for the triatomine population (Fig 1). The age structure includes egg stage, nymph, and adult stage. We assume that eggs (E) are laid at a per-female reproduction rate λ, and hatch into nymphs (Y) at the rate τ. We assume the surviving rate from egg to nymph to be density-dependent with an environmental carrying capacity κ. Nymphs molt into adults at maturation rate γy. We assume no vertical transmission of T. cruzi from adult triatomines to their offspring, which is supported by past studies [59,60]. In addition, we assume that nymphs remain uninfected until they molt into full-grown adults with fully developed wings to be able to disperse in search of blood meals. This assumption is predicated on the fact that in our model triatomine can only get infected by feeding on infected dogs, and nymphs are unlikely to feed on dogs.
In this transmission setting, we assume that dogs are the main/only competent host for T. cruzi and that a small proportion of adult triatomines will never feed on dogs but instead will feed on other incompetent hosts (which are not modeled explicitly). These triatomines will remain uninfected with T. cruzi, and we denote them as Sb2. The remaining proportion of adult triatomines, which feed on dogs at least once, is denoted using the subscript b1. Here, susceptible adult triatomines, Sb1, can become infected, Ib1, at a transmission rate βv. The population density of triatomines feeding on dogs is equal to Nb1 = Sb1+Ib1. However, the total population density of adult triatomines is equal to Nb = Sb1+Ib1+Sb2. For simplicity, we assume the dog population, Nh, to be constant, where the birth rate equals the death rate. Each dog could be in either mutually exclusive disease state: susceptible, Sh (not infected with T. cruzi and able to become infected) and infectious, Ih (infected with T. cruzi and able to transmit). T. cruzi transmission from infected dogs to triatomines occurs at a transmission rate βh. We assume that the transmission rate βh accounts for two contact-based infection processes: stercorarian (vector fecal contamination) and oral. Here, dogs can be infected with T. cruzi either through the feces of infected triatomines or by oral consumption of infected triatomines. Natural mortality rates of dogs, adult triatomines, nymphs, and eggs are respectively denoted by δd, δb, δy, and δe. The dynamics of T. cruzi transmission between triatomines and dogs are described by a system of ordinary differential equations denoted as Model 1 (see Fig 1 for a schematic description of the model).
Model 1 (1a) (1b) (1c) (1d) (1e) (1f) (1g)
Model’s parameters are described in Table 1. All parameter values are obtained from published literature with the exception of the proportion of the triatomines that would feed on dogs (ϕ), and the carrying capacity (κ).
Because canine Chagas disease is endemic in many countries in the Americas including the southern part of the United States, we reasonably assume that our system is at equilibrium. We use * to demote state variables at equilibrium with Nb = Sb1*+Sb2*+Ib1*. The carrying capacity κ, is estimated at the steady state (equilibrium) as:
We first find the equilibrium value for egg and the nymph stage.
Now, we sum the differential equations for adults triatomine and set the results into zero.
The parameters δe, δy, δb are the egg, nymph, and adult mortality rate, respectively. We assumed ϕ to be equal to 0.95 and tested the robustness of our results for ϕ greater or equal to 0.9.
We have Sb1* = Nb−Sb2*−Ib1* and defined disease prevalences at equilibrium as and , where ib, id are empirical estimates of T. cruzi infection prevalence in triatomines and dogs respectively. The proportion of Sb1 and Sb2 at equilibrium state are also defined as , and . The steady state of Model 1 (setting the equilibrium equations for Eqs 1D and 1G into zero) can be written as:
We can now solve these equations for the transmission rates βh and βv as done in [51]. The corresponding transmission rates are therefore computed as:
We considered three transmission settings (high, medium, and low) and estimated the corresponding transmission rates for each setting (Table 2).
Single vector-host population model with seasonality
Here, we extend our SI vector-host model (Model 1) to capture the impact of seasonality on the triatomine life cycle and T. cruzi transmission dynamics. Specifically, we assume seasonality patterns of nymphal maturation rate and transmission rate (contact rate between triatomines and dogs driven by triatomine seasonal dispersal in search of blood meal [76]). We denote this model as Model 2.
We assume that seasonality in nymphal maturation rate (nymphs molting into adults) follows a stepwise function with high activities during spring, lower activities during summer and fall, and none during winter. We define the maturation rate as where ε is the relative activity level of triatomines during summer and fall compared to spring and set to be equal to 0.25 (we also consider ε = 0.5), and is the annual maturation rate in the absence of seasonality (Model 1).
The contact rate between triatomines and dogs, h(t), was defined as a piecewise function whose values were informed from empirical data of triatomine host biting over a one-year period [76]. We defined the transmission rates as follow: with , where βv0 and βh0 are annual transmission rates in the absence of seasonality (Model 1).
Spatially coupled vector-host model with seasonality
Here, we consider a spatially coupled vector-host model for the spread of T. cruzi between peridomestic and sylvatic transmission cycles. In the peridomestic setting, dogs are assumed to be the main/only competent reservoir host for T. cruzi transmission. In the sylvatic setting, we assume diverse wildlife reservoir species competent for T. cruzi transmission [e.g. raccoon (Procyon lotor), opossum (Didelphis virginiana), woodrat (Neotoma spp.)] and all adult triatomines are likely to feed on at least one T. cruzi-competent host. For simplicity, we aggregated the wildlife T. cruzi-competent species into a single host population. In both settings, we assume that triatomines have the same seasonality behavior described in Model 2. So, we have a vector-host SI model for T. cruzi transmission in the peridomestic and sylvatic transmission settings. We assume the host populations to be constant in each setting and only adult triatomines move between the two settings, with η(t) being the movement rate of adult bugs from peridomestic to sylvatic habitat and ξ(t) being the movement rate from sylvatic to peridomestic habitat. The movement rates are defined as η(t) = η0m(t) and ξ(t) = ξ0(t)m(t) with , where η0 and ξ0 are the average annual movement rates and m(t) is the seasonal behavior function. m(t) was designed as a piecewise function whose values were informed from empirical data on adult triatomine dispersal over time [77]. The system of equations of this model (Model 3) is provided in S1 Text.
Dog treatment
Fluralaner, an oral systemic insecticide, is used in dogs to prevent tick and flea infestations [32,78,79]. In this study, we evaluated the effectiveness of fluralaner treatment against T. cruzi infection in dogs and triatomines. We focused on fluralaner as the systemic insecticide because of the availability of empirical efficacy data on its ability to kill triatomines. These data, obtained from a systematic laboratory study [32], provide estimates of the monthly efficacy of fluralaner on killing triatomines that fed on dogs during the first twelve months following dogs’ treatment, as well as the mortality rate of those triatomines (duration from feeding to death at an hourly rate) [32]. The results from this study were used to inform treatment efficacy (Tr) and treatment-induced mortality rate (μd) in our model (Fig 2). Although the reference laboratory study used Triatoma infestans- a species native to South America- we recently evaluated the ability of fluralaner-treated dogs to kill Triatoma gerstaeckeri nymphs that were the progeny of wild-caught adults from South Texas, with similar results [80].
TSb1 and TIb1 is the density of susceptible and infected adult bugs that feed on fluralaner-treated dogs and will die from fluralaner intoxication.
To compute the number of susceptible adult bugs that have fed on treated dogs, we derived contact rate between adult bugs and dogs as θ = βv/ρ where ρ is the probability of adult bug infection per instance fed on infected dog and βv is the transmission rate from infected dogs to adult triatomine.
Treatment strategies
We consider four fluralaner treatment regimens: 3-month (with dogs treated once every three months), 6-month, 9-month, and 12-month. For each regimen, treatment efficacy and induced mortality rate were informed by empirical data [32]. We used our models to evaluate the effectiveness of each regimen for reducing T. cruzi infection prevalence and incidence among dogs and adult triatomines, as well as adult triatomine density in three transmission settings (high, medium, and low: Table 2), with and without seasonal triatomine transmission behavior and spatial coupling. In the spatially coupled model, we assume that only peridomestic dogs received treatment. We compare the predicted effectiveness of the four regimens to identify the most effective regimen in each setting. Our effectiveness outcomes are: the reduction of T. cruzi prevalence in dogs, reduction of adult triatomine density, reduction of T. cruzi incidence on triatomines and dogs, and cumulative dog and triatomine infections averted.
Impact of increased consumption of dead triatomines
Dog treatment with fluralaner will likely result in substantial increase of triatomine mortality, but the degree to which this will result in increased consumption by dogs of dead insects is not known. Rokhsar et al [34] assumed that dogs consumed 80% of bugs killed by treatment and that consumption happened immediately upon death. However, given parasites may not remain viable in dead insects especially those that are exposed to the hot and dry ambient conditions of Chagas endemic regions, and given no data to suggest a high level of insectivory by dogs, we primarily conduct our analysis assuming that dog treatment does not result in a significant increase of triatomine consumption by dogs. We further extend our analysis by investigating the potential impact of increased consumption of dead bugs on the effectiveness of treatment regimens for reducing T. cruzi infection prevalence in dogs. We assume that infected bugs can remain infectious on average two days after death. The probability of oral infection per infected bug consumed is 0.177 (17.7%) [51].
Results
Base model
With no treatment strategies added to our model, the prevalence of T. cruzi in triatomines ranged from 56.0%-13.0%, and infection prevalence in dogs ranged from 30%-8% in the high to low transmission settings, respectively (Table 2). We computed the corresponding annual transmission rates for triatomines and dogs in each transmission setting (Table 2). We used our model to evaluate the effectiveness of systemic insecticide treatment of dogs with fluralaner for the control of T. cruzi transmission. Additionally, we consider the effects of increased dog consumption of triatomines, thus an increased oral transmission rate, when dogs are given fluralaner.
Single vector-host model without seasonality
To evaluate the effectiveness of the treatment regimens, we first use a standard vector-host model for T. cruzi transmission between dogs and triatomines that does not account for the impact of seasonality on triatomine activity. In all transmission settings, we observed a prompt and substantial decline in vector population density, vector T. cruzi prevalence, and dog T. cruzi incidence following the initiation of treatment under all regimens (Figs 3, A, and B in S1 Text). Results for the high transmission setting are shown in Fig 3, and those of low and medium transmission settings are shown in Figs A and B in S1 Text, respectively. For example, after 10 years of treatment in a high transmission setting, triatomine population density was reduced on average by 80.4%, 75.8%, 74.4% and 66.4% under the 3-month, 6-month, 9-month, and 12-month treatment regimen, respectively (Fig 3A), whereas triatomine T. cruzi prevalence and dog T. cruzi incidence were reduced on average by more than 98% and 96%, respectively (Fig 3). The effectiveness of treatment regimens for reducing dog infection was shown to increase with transmission intensity; with high transmission setting having the highest reduction and low transmission having the lowest reduction (Fig 4 and Table A in S1 Text). For example, after five years of treatment, T. cruzi prevalence among dogs was reduced by 37.7%, 37.5%, 37.1%, and 35.7% under the 3-month, 6-month, 9-month, and 12-month treatment regimen, respectively, and by 63.1%, 62.0%, 61.4% and 59.4% after 10 years (Table A in S1 Text).
(A) Reduction of total population density (blue) and T. cruzi infections in triatomines (red), (B) Reduction of T. cruzi infection prevalence (red) and incidence in dogs (blue). Effectiveness is evaluated using the single vector-host model without seasonality.
cruzi infections among dogs and triatomines compared to a 12-month treatment regimen using Model 1. Effectiveness is computed using the single host-vector model without seasonality. (A) Cumulative additional dog infections averted under the 3-month, 6-month, and 9-month regimen relative to the 12-month regimen in the low, medium, and high transmission settings. (B) Cumulative additional triatomine infections averted under the 3-month, 6-month, and 9-month regimen relative to the 12-month regimen in the low, medium, and high transmission settings.
To compare the effectiveness of the treatment regimens, we computed the cumulative T. cruzi infections averted among dogs and triatomines under 3-month, 6-month, and 9-month regimens relative to the 12-month regimen (Fig 4). In all transmission settings, we showed a marginal difference between the relative effectiveness of the 3-month and 6-month regimens and the 9-month regimen is more effective than 12-month (Fig 4).
Single vector-host model with seasonality
Similarly, to the no seasonality model, in the model that considers seasonality we observed a rapid reduction in vector population density, T. cruzi prevalence, and dog T. cruzi incidence in all transmission settings (Figs 5, C, and D in S1 Text). Results for the high transmission setting are shown in Fig 5, and those of low and medium transmission settings are shown in Figs C and D in S1 Text, respectively. For example, after 10 years of treatment in the high transmission setting, triatomine population density was reduced on average by 80.4%, 79.8%, 78.3%, and 74.1% under the 3-month, 6-month, 9-month, and 12-month treatment regimens, respectively (Fig 5A), whereas triatomine T. cruzi prevalence and dog T. cruzi incidence were reduced on average by more than 99% and 97%, respectively (Fig 5). Under the 3-month, 6-month, 9-month, and 12-month treatment regimen, T. cruzi prevalence among dogs was reduced by 36.2%, 35.7%, 35.0%, and 34.7%, respectively, after five years of repeated treatment, and by 61.1%, 60.5%, 59.6%, and 59.1% after ten years of repeated treatment (Table A in S1 Text). In comparison to the 12-month regimen, relative cumulative T. cruzi infections averted over the first 20 years of treatment are 15, 11, and 4 per 1000 dogs and 459, 326, and 157 infections per 1000 bugs under the 3-month, 6-month, and 9-month treatment regimens, respectively (Fig 6). In low and medium transmission settings, the 9-month and 12-month treatment regimens were shown to be equally effective, and minimal differences were observed between the 3-month and 6-month regimens (Fig 6). Though our analysis was conducted for ε, the relative activity level of triatomines during summer and fall compared to spring, equals to 0.25, similar results were obtained for ε = 0.5 (Fig E in S1 Text). The effectiveness of treatment regimens for reducing dog infection was shown to increase with transmission intensity; with high transmission setting having the highest reduction and low transmission having the lowest reduction (Fig 6 and Table A in S1 Text)
(A) Reduction of total population density (blue) and T. cruzi infections in triatomines (red), (B) Reduction of T. cruzi infection prevalence (red) and incidence in dogs (blue). Effectiveness is evaluated using the single vector-host model with seasonality.
cruzi infections among dogs and triatomines compared to a 12-month treatment regimen using Model 2. Effectiveness is computed using the single host-vector model with seasonality. (A) Cumulative additional dog infections averted under the 3-month, 6-month, and 9-month regimen relative to the 12-month regimen in the low, medium, and high transmission settings. (B) Cumulative additional triatomine infections averted under the 3-month, 6-month, and 9-month regimen relative to the 12-month regimen in the low, medium, and high transmission settings.
Spatially coupled vector-host model
In addition to the single vector-host model, we also consider a spatially coupled vector-host model with triatomines migrating between peridomestic and sylvatic transmission cycle settings. For simplicity, we assumed that a fixed proportion of triatomines in each setting migrate to the other setting annually (migration rate). Similar to the single population model, we observed a rapid decline in vector population density, vector T. cruzi prevalence, and dog T. cruzi incidence in all transmission settings (Figs 7, F, and G in S1 Text). Results for the high transmission setting are shown in Fig 7, and those of low and medium transmission settings are shown in Figs F and G in S1 Text, respectively. For instance, after 10 years of treatment in the high transmission setting, bug’s population density was reduced on average by 79.7%, 79.7%, 77.2%, and 72.4% under the 3-month, 6-month, 9-month, and 12-month treatment regimens, respectively (Fig 7A). However, contrary to the single vector-host model, the spatially coupled model showed a sustained prevalence of T. cruzi among triatomines as high as 5% of the prevalence during the pretreatment period, and dog T. cruzi incidence was reduced by 90% (Fig 7B). Under the 3-month, 6-month, 9-month, and 12-month treatment regimen, T. cruzi prevalence among dogs was reduced by 33.2%, 32.7%, 32.1%, and 31.6%, respectively, after five years of repeated treatment, and by 55.9%, 55.3%, 54.5%, and 53.8% after ten years of repeated treatment (Table A in S1 Text). In high transmission settings, we showed that the 3-month treatment regimen was shown to be more effective in reducing T. cruzi infections in the peridomestic transmission cycle (both dogs and triatomines) than the other three regimens (Fig 8). However, in a low transmission setting, the difference between the 3-month and 6-month regimens was marginal (Fig 8). The effectiveness of treatment regimens for reducing dog infection was shown to increase with transmission intensity; with high transmission setting having the highest reduction and low transmission having the lowest reduction (Fig 8 and Table A in S1 Text).
(A) Reduction of total population density (blue) and T. cruzi infections in triatomines (red), (B) Reduction of T. cruzi infection prevalence (red) and incidence in dogs (blue). Effectiveness is evaluated using the spatially coupled model.
cruzi infections among dogs and triatomines compared to a 12-month treatment regimen using Model 3. Effectiveness is computed using the spatially coupled model. (A) Cumulative additional dog infections averted under the 3-month, 6-month, and 9-month regimen relative to the 12-month regimen in the low, medium, and high transmission settings. (B) Cumulative additional triatomine infections averted under the 3-month, 6-month, and 9-month regimen relative to the 12-month regimen in the low, medium, and high transmission settings.
Finally, we evaluate the impact of triatomine migration on the effectiveness of dog treatment regimens for reducing T. cruzi infection prevalence in dogs (Fig 9). We show that increased migration rate reduces the effectiveness of fluralaner for all treatment regimens, but the relative reduction of effectiveness is marginal during the first years of treatment (Fig 9).
Impact of increased consumption of dead triatomines
We show that if increased contacts between dogs and dead triatomines, killed from fluralaner treatment, result in an increased oral consumption of dead triatomines by dogs beyond the baseline number of bugs eaten during pre-treatment period, this could reduce the effectiveness of fluralaner treatment for reducing T. cruzi infection prevalence in dogs and even potentially increased T. cruzi infection prevalence. This impact varies with the additional proportion of triatomines eaten by dogs, and the frequency of fluralaner treatment (Fig 10). For example, we show that if 10% of killed triatomines were eaten by dogs, it would result in a small increase of T. cruzi infection prevalence in dogs during the first year of treatment, followed by a quick and consistent decline of prevalence below pre-treatment level (Fig 10). If 30% of killed triatomines were eaten by dogs, it would result in a substantial increase of T. cruzi infection prevalence in dogs during the first year of treatment, and prevalence remain above pre-treatment level for five to 20 years following treatment initiation depending on the frequency of treatment (Fig 10). However, T. cruzi infection prevalence in triatomines is substantially reduced below its pre-treatment level (Fig H in S1 Text). Similar results were observed for all transmission settings, with and without seasonal effects (results not shown here). In all scenarios, the increase in T. cruzi infection prevalence in dogs occurred during the first year of treatment.
We consider four scenarios: 1) no increased consumption of dead bugs, 2) 10% of bugs killed by fluralaner treatment are eaten by dogs, and 3) 30% of bugs killed by fluralaner treatment are eaten by dogs, and 4) 50% of bugs killed by fluralaner treatment are eaten by dogs.
Discussion
Using compartmental models, we evaluated the population-level impacts of fluralaner treatment on triatomines, and T. cruzi infection in dogs and triatomines in a peridomestic environment. Across all transmission settings and treatment regimens, fluralaner intervention reduces the triatomine population density. High treatment frequency is always more effective in reducing T. cruzi infection prevalence in the dog population. In low transmission settings, this difference may be negligible, indicating that less frequent treatment in these settings may be sufficient to reduce T. cruzi infections in dogs and triatomines (Figs A, C, and F in S1 Text). These results show fluralaner treatment can reduce triatomine populations and T. cruzi infection in peridomestic environments and reduce the risk of Chagas disease in dogs housed in peridomestic environments. These results agree with those of a recent placebo-controlled study on the effect of fluralaner on the control of triatomines T. cruzi infection [81]. However, similar to Rokhsar at al. [34], we show that if increased triatomine mortality from dogs’ treatment resulted in a significant increase in dog consumption of dead triatomines relative to the pre-treatment era (e.g. more than 10% of killed triatomines are eaten by dogs in surplus of the number of bugs generally eaten by dogs during the pre-treatment era), fluralaner treatment may have a counterproductive effect, resulting in an increased prevalence of T. cruzi infections in dogs at least during the first years of treatment (Fig 10).
In previous studies, dogs that were housed with triatomines in a closed environment consumed 12–27% of the live triatomines present, even without fluralaner treatment [82,83]. Thus, in a peridomestic setting, the oral transmission route may be an important route of infection for dogs, and if fluralaner increases the availability of dead and infected triatomines around dogs, the oral route may be even more important as a driver of canine T. cruzi transmission. However, since insects are neither a significant portion of a dog’s diet nor are dogs’ insectivores, we don’t anticipate the increased mortality of triatomines would result in a substantial increase in consumption of triatomines by dogs. Moreover, triatomines’ death by xenointoxication may occur at least 24 hours after feeding [32], which allows triatomines enough time to return to their refuge before dying rather than dying instantaneously after biting treated dogs. Therefore, fluralaner treatment of dogs may not necessarily increase dog consumption of triatomines compared to the number of bugs eaten during the pre-treatment period. To provide a more accurate estimate of the potential impact of systemic insecticide use on T. cruzi infection in dogs, future studies should provide a better understanding of dogs’ bug eating behavior, the impact of systemic insecticide use on contact between dogs and death triatomines, and the impact of increase triatomine mortality on dogs’ triatomine eating behavior. Future studies should also investigate triatomine T. cruzi infectivity and duration of infection after death.
The degree to which these changes are observed in our models varies based on the regimen of treatment, transmission settings, impact of seasonality of triatomine population dynamics, and triatomine migration rate. In the presence of seasonality and high triatomine migration rate between peridomestic and sylvatic cycles, treating dogs more frequently becomes more important in higher transmission areas. In low and medium transmission areas, 3-month, and 6-month treatment regimens were shown to be highly or equally effective in reducing T. cruzi infection incidence among dogs. In the presence of triatomine migration between peridomestic and sylvatic settings, the difference in effectiveness between the 3-month and 6-month regimens was more pronounced. As triatomine population and T. cruzi infections in the peridomestic setting are replenished through migration, more frequent dog treatment becomes more effective for disease control, especially in medium and high transmission settings (Fig 9). Thus, in low-transmission settings, treating every 6 months may be sufficient to control T. cruzi infections in dogs and triatomines, which could be a cost-saving measure.
Seasonality introduces oscillations into triatomine population sizes, leading to changes throughout the year in triatomine movement, interactions with dogs, and risk of infection [36]. By ignoring seasonality, models are likely to overestimate T. cruzi transmission risk during triatomine low activity season and underestimate the risk during high activity season. This is likely to impact the effectiveness of low frequency treatment, such as 9-month and 12-month treatment regimens, especially if treatment is not administered at the start of the triatomine high activity season (early Spring). Specifically, for the 9-month treatment regimen, which may or may not result in treatment being given just prior to the peak triatomine season, seasonality has the potential to decrease the efficacy of treatment (Fig 6).
As a neglected tropical disease, there is limited and sparse spatio-temporal data on the spread of Chagas disease, especially in the peridomestic and sylvatic transmission cycles modeled here. This substantially limits the available parameter values or the ability to estimate them through model fitting to data. For example, the impact of seasonality on the triatomine life cycle as well as their migration rates between sylvatic and peridomestic environments have been shown to be important factors to disease transmission, but are not well-characterized. To address this limitation, we used parameter values widely used in the Chagas disease modeling literature as well as available data on monthly variation of triatomine host biting [76] and dispersal [77] to inform the functional form of seasonality of contact rate between triatomines and dogs and triatomine migration between sylvatic and peridomestic transmission settings. We also conducted sensitivity analyses on our migration and transmission rates. We assume our model is in an endemic setting and is at equilibrium; however, our parameter estimates are calibrated to single data points, which may not accurately reflect underlying transmission dynamics. While this is a common technique in modeling studies, it does not consider that prevalence values change over time, even in endemic settings. Future studies characterizing time series data can be used to fit the model and better capture underlying transmission dynamics and more accurate estimates of epidemiological parameters. We assume dogs live on average 10 years, without taking into consideration disease-induced death or other dog age-related factors. Future work should consider an age-structured model for dogs and the impact of Chagas disease on dog mortality. In our models, we only assess fluralaner as an intervention. Future modeling approaches could investigate the addition of other recommended integrated pest management techniques, such as removing woody debris and harborage for wild reservoir mammals, turning off exterior lights that attract dispersing adult triatomines, and improving kennels and houses to reduce triatomine entrance and colonization, which may further reduce T. cruzi transmission [7]. However, in our experience working at several large dog’s kennels in south Texas where various integrated triatomine management techniques are practiced, canine incidence was high across multiple kennels [23].
Our study suggests that all dogs, including peridomestic dogs, will have to be treated every three to six months for at least five years to control the spread of Chagas disease in endemic communities. In the southern United States, where triatomines and canine Chagas disease are endemic, such control strategies are feasible as peridomestic dogs are mostly kennels and working dogs. However, in Latin America, peridomestic dogs in Chagas disease highly endemic communities are mostly stray dogs. In these settings treating all peridomestic dogs every three to six months for at least five years may be extremely challenging and would likely require significant public health and financial resources. Future studies should investigate the feasibility, cost-effectiveness, and budget impact analyses of these control strategies in different chagas endemic communities in Latin America.
Our models offer valuable insight into transmission dynamics in the T. cruzi peridomestic transmission cycle and test the outcomes of implementation of xenointoxication-based control in this setting. We show that canine and triatomine T. cruzi infections may be substantially averted with the routine use of systemic insecticides. In low and medium transmission environments, less frequent treatment may be sufficient to reduce T. cruzi in dogs and triatomines when compared to high transmission environments. However, the use of systemic insecticides may potentially increase canine T. cruzi infections if increased triatomine mortality results in a substantial increase in dog’s oral consumption of dead triatomines. For this reason, it is paramount to better understand dog’s consumption behavior of dead triatomines in the presence and absence of systemic insecticide use before recommending large-scale and routine use of fluralaner in peridomestic environments.
Supporting information
S1 Text. Supplementary information containing 1.
model description of the spatially coupled model. 2. Fig A. Effectiveness of systemic insecticide treatment of dogs with fluralaner for the control of canine Chagas in a low transmission setting using Model. 3. Fig B. Effectiveness of systemic insecticide treatment of dogs with fluralaner for the control of canine Chagas in a medium transmission setting using Model 1. 4. Fig C. Effectiveness of systemic insecticide treatment of dogs with fluralaner for the control of canine Chagas in a low transmission setting using Model 2. 5. Fig D. Effectiveness of systemic insecticide treatment of dogs with fluralaner for the control of canine Chagas in a medium transmission setting using Model 2. 6. Fig E. Comparing effectiveness results for ε equals to 0.25 vs 0.5. Relative effectiveness of dog treatment regimen for reducing T. cruzi infections among dogs and triatomines compared to a 12-month treatment regimen using Model 2. 7. Fig F. Effectiveness of systemic insecticide treatment of dogs with fluralaner for the control of canine Chagas in a low transmission setting using Model 3. 8. Fig G. Effectiveness of systemic insecticide treatment of dogs with fluralaner for the control of canine Chagas in a medium transmission setting using Model 3. 9. Fig H. Dynamics of Trypanosoma cruzi prevalence in triatomines and dogs under the 3-month, 6-month, 9-month, and 12-month treatment regimen in high, medium, and low transmission settings under the assumption that 50% of triatomines killed by fluralaner treatment are eaten by dogs in addition to the baseline number of triatomines eaten by dogs (number of triatomines eaten during the pre-treatment period). 10. Table A. Reduction of T. cruzi prevalence among a dog population given different treatment regimens of a systemic insecticide (fluralaner) in various transmission settings.
https://doi.org/10.1371/journal.pntd.0011084.s001
(DOCX)
S1 MatLab-codes. Zip file containing MatLab codes of the models.
These files require access to the MatLab software to be opened and run.
https://doi.org/10.1371/journal.pntd.0011084.s002
(ZIP)
References
- 1.
Pan American Health Organization PAHO. Chagas disease fact sheet. In: Web Archive [Internet]. 2022 [cited 2022]. Available: https://paho.org/en/topics/chagas-disease.
- 2. Bern C, Messenger LA, Whitman JD, Maguire JH. Chagas Disease in the United States: a Public Health Approach. Clinical Microbiology Reviews. 2019;33. pmid:31776135
- 3. Zecca IB, Hodo CL, Slack S, Auckland L, Hamer SA. Trypanosoma cruzi infections and associated pathology in urban-dwelling Virginia opossums (Didelphis virginiana). International Journal for Parasitology: Parasites and Wildlife. 2020;11: 287–293. pmid:32215248
- 4. Gürtler RE, Cardinal MV. Reservoir host competence and the role of domestic and commensal hosts in the transmission of Trypanosoma cruzi. Acta Tropica. 2015;151: 32–50. pmid:26051910
- 5. Hodo CL, Hamer SA. Toward an Ecological Framework for Assessing Reservoirs of Vector-Borne Pathogens: Wildlife Reservoirs of Trypanosoma cruzi across the Southern United States. ILAR Journal. 2017;58: 379–392. pmid:29106561
- 6. Georgieva AY, Gordon ERL, Weirauch C. Sylvatic host associations of Triatominae and implications for Chagas disease reservoirs: a review and new host records based on archival specimens. PeerJ. 2017;5: e3826. pmid:28948106
- 7. Busselman RE, Hamer SA. Chagas Disease Ecology in the United States: Recent Advances in Understanding Trypanosoma cruzi Transmission Among Triatomines, Wildlife, and Domestic Animals and a Quantitative Synthesis of Vector–Host Interactions. Annual Review of Animal Biosciences. 2022;10: 325–348. pmid:34758274
- 8. Brown EL, Roellig DM, Gompper ME, Monello RJ, Wenning KM, Gabriel MW, et al. Seroprevalence of Trypanosoma cruzi Among Eleven Potential Reservoir Species from Six States Across the Southern United States. Vector-Borne and Zoonotic Diseases. 2010;10: 757–763. pmid:20020815
- 9. Jansen AM, Xavier SC das C, Roque ALR. Trypanosoma cruzi transmission in the wild and its most important reservoir hosts in Brazil. Parasites & Vectors. 2018;11. pmid:30189896
- 10. Bern C, Kjos S, Yabsley MJ, Montgomery SP. Trypanosoma cruzi and Chagas’ Disease in the United States. Clinical Microbiology Reviews. 2011;24: 655–681. pmid:21976603
- 11. Sarquis O, Carvalho-Costa FA, Toma HK, Georg I, Burgoa MR, Lima MM. Eco-epidemiology of Chagas disease in northeastern Brazil: Triatoma brasiliensis, T. pseudomaculata and Rhodnius nasutus in the sylvatic, peridomestic and domestic environments. Parasitology Research. 2011;110: 1481–1485. pmid:21979785
- 12. Gürtler RE, Cécere MC, Rubel DN, Petersen RM, Schweigmann NJ, Lauricella MA, et al. Chagas disease in north-west Argentina: infected dogs as a risk factor for the domestic transmission of Trypanosoma cruzi. Transactions of the Royal Society of Tropical Medicine and Hygiene. 1991;85: 741–745. pmid:1801342
- 13. Coura JR, Viñas PA. Chagas disease: a new worldwide challenge. Nature. 2010;465: S6–S7. pmid:20571554
- 14. Dias JCP, Prata A, Correia D. Problems and perspectives for Chagas Disease control: looking for a realistic review. Revista da Sociedade Brasileira de Medicina Tropical. 2007.
- 15. Klotz SA, Shirazi FM, Boesen K, Beatty NL, Dorn PL, Smith S, et al. Kissing Bug (Triatoma spp.) Intrusion into Homes: Troublesome Bites and Domiciliation. Environmental Health Insights. 2016;10: EHI.S32834. pmid:27042091
- 16. Beard CB, Pye G, Steurer FJ, Rodriguez R, Campman R, Peterson AT, et al. Chagas Disease in a Domestic Transmission Cycle in Southern Texas, USA. Emerging Infectious Diseases. 2003;9: 103–105. pmid:12533289
- 17. Curtis-Robles R, Zecca IB, Roman-Cruz V, Carbajal ES, Auckland LD, Flores I, et al. Trypanosoma cruzi (Agent of Chagas Disease) in Sympatric Human and Dog Populations in “Colonias” of the Lower Rio Grande Valley of Texas. The American Journal of Tropical Medicine and Hygiene. 2017; 16–0789. pmid:28167589
- 18. Tenney TD, Curtis-Robles R, Snowden KF, Hamer SA. Shelter Dogs as Sentinels for Trypanosoma cruzi Transmission across Texas. Emerging Infectious Diseases. 2014;20: 1323–1326. pmid:25062281
- 19. Elmayan A, Tu W, Duhon B, Marx P, Wolfson W, Balsamo G, et al. High prevalence of Trypanosoma cruzi infection in shelter dogs from southern Louisiana, USA. Parasites & Vectors. 2019;12. pmid:31238941
- 20. Castillo-Neyra R, Chou Chu L, Quispe-Machaca V, Ancca-Juarez J, Malaga Chavez FS, Bastos Mazuelos M, et al. The potential of canine sentinels for reemerging Trypanosoma cruzi transmission. Preventive Veterinary Medicine. 2015;120: 349–356. pmid:25962956
- 21. Bradley KK, Bergman DK, Woods JP, Crutcher JM, Kirchhoff LV. Prevalence of American trypanosomiasis (Chagas disease) among dogs in Oklahoma. Journal of the American Veterinary Medical Association. 2000;217: 1853–1857. pmid:11132891
- 22. Curtis-Robles R, Snowden KF, Dominguez B, Dinges L, Rodgers S, Mays G, et al. Epidemiology and Molecular Typing of Trypanosoma cruzi in Naturally-Infected Hound Dogs and Associated Triatomine Vectors in Texas, USA. PLOS Neglected Tropical Diseases. 2017;11: e0005298. pmid:28095511
- 23. Busselman RE, Meyers AC, Zecca IB, Auckland LD, Castro AH, Dowd RE, et al. High incidence of Trypanosoma cruzi infections in dogs directly detected through longitudinal tracking at 10 multi-dog kennels, Texas, USA. PLOS Neglected Tropical Diseases. 2021;15: e0009935. pmid:34758049
- 24. Barr SC. Canine Chagas’ Disease (American Trypanosomiasis) in North America. Veterinary Clinics of North America: Small Animal Practice. 2009;39: 1055–1064. pmid:19932362
- 25. Vazquez-Prokopec GM, Cecere MC, Canale DM, Gürtler RE, Kitron U. Spatiotemporal Patterns of Reinfestation byTriatoma guasayana(Hemiptera: Reduviidae) in a Rural Community of Northwestern Argentina. Journal of Medical Entomology. 2005;42: 571–581. pmid:16119545
- 26.
Schofiled CJ. Challenges of Chagas Disease Vector Control in Central America. Geneva, Switzerland: World Health Organization; 2001. Global Collaboration for Development of Pesticides for Public Health. 2001.
- 27. Travi BL. Considering Dogs as Complementary Targets of Chagas Disease Control. Vector-Borne and Zoonotic Diseases. 2019;19: 90–94. pmid:30102585
- 28. Laiño MA, Cardinal MV, Enriquez GF, Alvedro A, Gaspe MS, Gürtler RE. An oral dose of Fluralaner administered to dogs kills pyrethroid-resistant and susceptible Chagas disease vectors for at least four months. Veterinary Parasitology. 2019;268: 98–104. pmid:30981313
- 29. Loza A, Talaga A, Herbas G, Canaviri RJ, Cahuasiri T, Luck L, et al. Systemic insecticide treatment of the canine reservoir of Trypanosoma cruzi induces high levels of lethality in Triatoma infestans, a principal vector of Chagas disease. Parasites & Vectors. 2017;10. pmid:28724448
- 30. Laiño MA, Cardinal MV, Gaspe MS, Enriquez GF, Alvedro A, Macchiaverna NP, et al. Control of pyrethroid-resistant populations of Triatoma infestans, the main vector of Trypanosoma cruzi, by treating dogs with fluralaner in the Argentine Chaco. Medical and Veterinary Entomology. 2021;36: 149–158. pmid:34866216
- 31. Gassel M, Wolf C, Noack S, Williams H, Ilg T. The novel isoxazoline ectoparasiticide fluralaner: Selective inhibition of arthropod γ-aminobutyric acid- and l-glutamate-gated chloride channels and insecticidal/acaricidal activity. Insect Biochemistry and Molecular Biology. 2014;45: 111–124. pmid:24365472
- 32. Queiroga TBD, Gomez LCP, de Sena ER, dos Santos WV, Ferreira HRP, de Araújo-Neto VT, et al. Insecticidal efficacy of fluralaner (Bravecto) against Triatoma brasiliensis, a major vector of Trypanosoma cruzi in Brazil. Parasites & Vectors. 2021;14. pmid:34488865
- 33. Ortega-Pacheco A, Poot-Ramos A, Chan-Pérez JI, Gutiérrez-Blanco E, Acevedo-Arcique CM, Baak-Baak CM, et al. Evaluation of the effectiveness of fluralaner against adult stages of Rhodnius prolixus in dogs. Parasitology International. 2022;87: 102508. pmid:34781015
- 34. Rokhsar JL, Sheen JK, Castillo-Neyra R, Levy MZ. Modeling Chagas Disease Transmission Dynamics after canine treatment with systemic insecticide: exploring the potential side effects of xenointoxication. Drexel University. 2020.
- 35. Nouvellet P, Cucunubá ZM, Gourbière S. Ecology, Evolution and Control of Chagas Disease: A Century of Neglected Modelling and a Promising Future. Mathematical Models for Neglected Tropical Diseases: Essential Tools for Control and Elimination, Part A. Elsevier; 2015. pp. 135–191. Available: pmid:25765195
- 36. Castañera MB, Aparicio JP, Gürtler RE. A stage-structured stochastic model of the population dynamics of Triatoma infestans, the main vector of Chagas disease. Ecological Modelling. 2003;162: 33–53.
- 37. Fabrizio MC, Schweigmann NJ, Bartoloni NJ. Modelling inter-human transmission dynamics of Chagas disease: analysis and application. Parasitology. 2014;141: 837–848. pmid:24533945
- 38. Steindorf V, Maidana NA. Modeling the Spatial Spread of Chagas Disease. Bulletin of Mathematical Biology. 2019;81: 1687–1730. pmid:30805855
- 39. Cucunubá ZM, Nouvellet P, Peterson JK, Bartsch SM, Lee BY, Dobson AP, et al. Complementary Paths to Chagas Disease Elimination: The Impact of Combining Vector Control With Etiological Treatment. Clinical Infectious Diseases. 2018;66: S293–S300. pmid:29860294
- 40. Bartsch SM, Peterson JK, Hertenstein DL, Skrip L, Ndeffo-Mbah M, Galvani AP, et al. Comparison and validation of two computational models of Chagas disease: A thirty year perspective from Venezuela. Epidemics. 2017;18: 81–91. pmid:28279459
- 41. Tomasini N, Ragone PG, Gourbière S, Aparicio JP, Diosque P. Epidemiological modeling of Trypanosoma cruzi: Low stercorarian transmission and failure of host adaptive immunity explain the frequency of mixed infections in humans. PLOS Computational Biology. 2017;13: e1005532. pmid:28481887
- 42. Kribs-Zaleta CM, Mubayi A. The role of adaptations in two-strain competition for sylvatic Trypanosoma cruzi transmission. Journal of Biological Dynamics. 2012;6: 813–835. pmid:22877420
- 43. Lee BY, Bartsch SM, Skrip L, Hertenstein DL, Avelis CM, Ndeffo-Mbah M, et al. Are the London Declaration’s 2020 goals sufficient to control Chagas disease?: Modeling scenarios for the Yucatan Peninsula. PLOS Neglected Tropical Diseases. 2018;12: e0006337. pmid:29554086
- 44. Cruz-Pacheco G, Esteva L, Vargas C. Control measures for Chagas disease. Mathematical Biosciences. 2012;237: 49–60. pmid:22450034
- 45. Zahid MH, Kribs CM. Decoys and Dilution: The Impact of Incompetent Hosts on Prevalence of Chagas Disease. Bulletin of Mathematical Biology. 2020;82. pmid:32166601
- 46. Flores-Ferrer A, Waleckx E, Rascalou G, Dumonteil E, Gourbière S.Trypanosoma cruzi transmission dynamics in a synanthropic and domesticated host community. PLOS Neglected Tropical Diseases. 2019;13: e0007902. pmid:31834879
- 47. Coffield DJ, Spagnuolo AM, Shillor M, Mema E, Pell B, Pruzinsky A, et al. A Model for Chagas Disease with Oral and Congenital Transmission. PLoS ONE. 2013;8: e67267. pmid:23840647
- 48. Fabrizio MC, Schweigmann NJ, Bartoloni NJ. Analysis of the transmission of Trypanosoma cruzi infection through hosts and vectors. Parasitology. 2016;143: 1168–1178. pmid:27039662
- 49. Peterson JK, Bartsch SM, Lee BY, Dobson AP. Broad patterns in domestic vector-borne Trypanosoma cruzi transmission dynamics: synanthropic animals and vector control. Parasites & Vectors. 2015;8. pmid:26489493
- 50. Cohen JE, Gürtler RE. Modeling Household Transmission of American Trypanosomiasis. Science. 2001;293: 694–698. pmid:11474111
- 51. Kribs-Zaleta C. Estimating Contact Process Saturation in Sylvatic Transmission of Trypanosoma cruzi in the United States. PLoS Neglected Tropical Diseases. 2010;4: e656. pmid:20436914
- 52. Erazo D, Cordovez J, Cabrera C, Calzada JE, Saldaña A, Gottdenker NL. Modelling the influence of host community composition in a sylvatic Trypanosoma cruzi system. Parasitology. 2017;144: 1881–1889. pmid:28701240
- 53. Pelosse P, Kribs-Zaleta CM. The role of the ratio of vector and host densities in the evolution of transmission modes in vector-borne diseases. The example of sylvatic Trypanosoma cruzi. Journal of Theoretical Biology. 2012;312: 133–142. pmid:22892441
- 54. Yong KE, Mubayi A, Kribs CM. Agent-based mathematical modeling as a tool for estimating Trypanosoma cruzi vector–host contact rates. Acta Tropica. 2015;151: 21–31. pmid:26215127
- 55. Kribs CM, Mitchell C. Host switching vs. host sharing in overlapping sylvaticTrypanosoma cruzi transmission cycles. Journal of Biological Dynamics. 2015;9: 247–277. pmid:26364539
- 56. Crawford B, Kribs-Zaleta C. A metapopulation model for sylvatic T. cruzi transmission with vector migration. Mathematical Biosciences and Engineering. 2014;11: 471–509. pmid:24506549
- 57. Kribs-Zaleta CM. Graphical analysis of evolutionary trade-off in sylvaticTrypanosoma cruzi transmission modes. Journal of Theoretical Biology. 2014;353: 34–43. pmid:24632446
- 58. Caja Rivera R, Bilal S, Michael E. The relation between host competence and vector-feeding preference in a multi-host model: Chagas and Cutaneous Leishmaniasis. Mathematical Biosciences and Engineering. 2020;17: 5561–5583. pmid:33120566
- 59. Phillips NR. Experimental Studies on the Quantitative Transmission of Trypanosoma Cruzi: Aspects of the Rearing, Maintenance and Testing of Vector Material, and of the Origin and Course of Infection in the Vector. Annals of Tropical Medicine & Parasitology. 1960;54: 397–414. pmid:13735309
- 60. Jurberg J, Galvao C. “Biology, ecology, and systematics of Triatominae (Heteroptera, Reduviidae), vectors of Chagas disease, and implications for human health.” academia.edu. 2006.
- 61. Balasubramanian S, Curtis-Robles R, Chirra B, Auckland LD, Mai A, Bocanegra-Garcia V, et al. Characterization of triatomine blood meal sources using direct Sanger sequencing and amplicon deep sequencing methods. Scientific Reports. 2022;12. pmid:35715521
- 62. Erazo D, Cordovez J. The role of light in Chagas disease infection risk in Colombia. Parasites & Vectors. 2016;9. pmid:26732186
- 63. Braga MV, Pinto ZT, Lima MM. Life Cycle and Reproductive Patterns of Triatoma rubrofasciata (De Geer, 1773) (Hemiptera: Reduviidae), under Laboratory Conditions. Memórias do Instituto Oswaldo Cruz. 1998;93: 539–542. pmid:9711347
- 64. Santillán-Guayasamín S, Villacís AG, Grijalva MJ, Dujardin J-P. Triatominae: does the shape change of non-viable eggs compromise species recognition? Parasites & Vectors. 2018;11. pmid:30305182
- 65. Krinsky WL. True Bugs (Hemiptera). Medical and Veterinary Entomology. Elsevier; 2019. pp. 107–127. Available: http://dx.doi.org/10.1016/b978-0-12-814043-7.00008-x
- 66. Hieu HV, Do LT, Pita S, Ha H, Khoa PT, Tuan PA, et al. Biological attributes of the kissing bug Triatoma rubrofasciata from Vietnam. Parasites & Vectors. 2019;12. pmid:31842951
- 67. Martínez-Ibarra JA, Alejandre-Aguilar R, Paredes-González E, Martínez-Silva MA, Solorio-Cibrián M, Nogueda-Torres B, et al. Biology of three species of North American Triatominae (Hemiptera: Reduviidae: Triatominae) fed on rabbits. Memórias do Instituto Oswaldo Cruz. 2007;102: 925–930. pmid:18209930
- 68. Chaves LF, Hernandez M-J, Revilla TA, Rodriguez DJ, Rabinovich JE. Mortality profiles of Rhodnius prolixus (Heteroptera: Reduviidae), vector of Chagas disease. Acta Tropica. 2004;92: 119–125. pmid:15350863
- 69. Gurtler RE, Canale D, Lauricella MA, Cecere MC, Castanera MB, Segura EL, et al. Probability of Infection with Trypanosoma cruzi of the Vector Triatoma infestans Fed on Infected Humans and Dogs in Northwest Argentina. The American Journal of Tropical Medicine and Hygiene. 1996;55: 24–31. pmid:8702018
- 70. Ortega-Pacheco A, Rodriguez-Buenfil JC, Bolio-Gonzalez ME, Sauri-Arceo CH, Jiménez-Coello M, Forsberg CL. A Survey of Dog Populations in Urban and Rural Areas of Yucatan, Mexico. Anthrozoös. 2007;20: 261–274.
- 71. Acosta-Jamett G, Cleaveland S, Cunningham AA, Bronsvoort BM deC. Demography of domestic dogs in rural and urban areas of the Coquimbo region of Chile and implications for disease transmission. Preventive Veterinary Medicine. 2010;94: 272–281. pmid:20096943
- 72. Beard CB, Pye G, Steurer FJ, Rodriguez R, Campman R, Peterson AT, et al. Chagas Disease in a Domestic Transmission Cycle in Southern Texas, USA. Emerging Infectious Diseases. 2003;9: 103–105. pmid:12533289
- 73. Ikenga JO, Richerson JV. Trypanosoma cruzi (Chagas) (Protozoa: Kinetoplastida: Trypanosomatidae) in Invertebrate and Vertebrate Hosts from Brewster County in Trans-Pecos Texas. Journal of Economic Entomology. 1984;77: 126–129. pmid:6427314
- 74. Rodriguez F, Luna BS, Calderon O, Manriquez-Roman C, Amezcua-Winter K, Cedillo J, et al. Surveillance of Trypanosoma cruzi infection in Triatomine vectors, feral dogs and cats, and wild animals in and around El Paso county, Texas, and New Mexico. PLOS Neglected Tropical Diseases. 2021;15: e0009147. pmid:33600455
- 75. Garcia MN, O’Day S, Fisher-Hoch S, Gorchakov R, Patino R, Feria Arroyo TP, et al. One Health Interactions of Chagas Disease Vectors, Canid Hosts, and Human Residents along the Texas-Mexico Border. PLOS Neglected Tropical Diseases. 2016;10: e0005074. pmid:27832063
- 76. Klotz JH, Dorn PL, Logan JL, Stevens L, Pinnas JL, Schmidt JO, et al. “Kissing Bugs”: Potential Disease Vectors and Cause of Anaphylaxis. Clinical Infectious Diseases. 2010;50: 1629–1634. pmid:20462351
- 77. Schmidt JO, Miller ML, Klotz SA. Seasonal Flight Pattern of the Kissing Bugs Triatoma rubida and T. protracta (Hemiptera: Reduviidae: Triatominae) in Southern Arizona, United States. Insects. 2022;13: 265. pmid:35323563
- 78. Meadows Guerino, Sun . A randomized, blinded, controlled USA field study to assess the use of fluralaner tablets in controlling canine flea infestations. Parasites & Vectors. 2014;7: 1–8. pmid:25129395
- 79. Pfister Armstrong. Systemically and cutaneously distributed ectoparasiticides: a review of the efficacy against ticks and fleas on dogs. Parasites & Vectors. 2016;9: 1–15. pmid:27502490
- 80. Busselman RE, Zecca IB, Hamer GL, Hamer SH. Killer K9s: Ectoparasiticides in dogs kill triatomines. Society of Vector Ecology. 2021.
- 81. Gürtler RE, Laiño MA, Alvedro A, Enriquez GF, Macchiaverna NP, Gaspe MS, et al. Treatment of dogs with fluralaner reduced pyrethroid-resistant Triatoma infestans abundance, Trypanosoma cruzi infection and human-triatomine contact in the Argentine Chaco. Parasites & Vectors. 2022;15. pmid:35831874
- 82. Reithinger R, Stariolo R, Gürtler RE, Ceballos L, Davies CR. Extinction of experimental triatoma infestans populations following continuous exposure to dogs wearing deltamethrin-treated collars. The American Journal of Tropical Medicine and Hygiene. 2006;74: 766–771. pmid:16687678
- 83. Gürtler RE, Ceballos LA, Stariolo R, Kitron U, Reithinger R. Effects of topical application of fipronil spot-on on dogs against the Chagas disease vector Triatoma infestans. Transactions of the Royal Society of Tropical Medicine and Hygiene. 2009;103: 298–304. pmid:19004462