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Assessment of Culicidae collection methods for xenomonitoring lymphatic filariasis in malaria co-infection context in Burkina Faso

  • Sanata Coulibaly ,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft

    sanata15coulibaly@gmail.com (SC); sawsimp2005@yahoo.fr (SPS)

    Affiliation Institut de Recherche en Sciences de la Santé (IRSS), Bobo-Dioulasso, Burkina Faso

  • Simon P. Sawadogo ,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Visualization, Writing – original draft

    sanata15coulibaly@gmail.com (SC); sawsimp2005@yahoo.fr (SPS)

    Affiliation Institut de Recherche en Sciences de la Santé (IRSS), Bobo-Dioulasso, Burkina Faso

  • Achille S. Nikièma,

    Roles Data curation, Formal analysis, Visualization, Writing – original draft

    Affiliation Institut de Recherche en Sciences de la Santé (IRSS), Bobo-Dioulasso, Burkina Faso

  • Aristide S. Hien,

    Roles Conceptualization, Investigation, Methodology

    Affiliation Institut de Recherche en Sciences de la Santé (IRSS), Bobo-Dioulasso, Burkina Faso

  • Rabila Bamogo,

    Roles Methodology

    Affiliation Institut de Recherche en Sciences de la Santé (IRSS), Bobo-Dioulasso, Burkina Faso

  • Lassane Koala,

    Roles Writing – review & editing

    Affiliation Institut de Recherche en Sciences de la Santé (IRSS), Bobo-Dioulasso, Burkina Faso

  • Ibrahim Sangaré,

    Roles Writing – original draft, Writing – review & editing

    Affiliation Université Nazi Boni, Bobo-Dioulasso, Burkina Faso

  • Roland W. Bougma,

    Roles Writing – review & editing

    Affiliation Programme National de Lutte contre les Maladies Tropicales Négligées, Ministère de la Santé, Ouagadougou, Burkina Faso

  • Benjamin Koudou,

    Roles Writing – review & editing

    Affiliation Centre Suisse de Recherches Scientifiques, Université Félix-Houphouët-Boigny, Abidjan, Côte d’Ivoire

  • Florence Fournet,

    Roles Writing – review & editing

    Affiliation MIVEGEC (UM, IRD, CNRS) Montpellier, France

  • Georges A. Ouédraogo,

    Roles Writing – review & editing

    Affiliation Université Nazi Boni, Bobo-Dioulasso, Burkina Faso

  • Roch K. Dabiré

    Roles Conceptualization, Funding acquisition, Investigation, Validation, Writing – review & editing

    Affiliation Institut de Recherche en Sciences de la Santé (IRSS), Bobo-Dioulasso, Burkina Faso

Abstract

Background

Entomological surveillance of lymphatic filariasis and malaria infections play an important role in the decision-making of national programs to control, or eliminate these both diseases. In areas where both diseases prevalence is low, a large number of mosquitoes need to be sampled to determine vectors infection rate. To do this, efficient mosquito collection methods must be used. This study is part in this framework, to assess appropriate mosquito collection methods for lymphatic filariasis xenomonitoring in a coexistence context with malaria in Burkina Faso.

Methodology/Principal findings

Mosquito collections were performed between August and September 2018 in four villages (Koulpissi, Seiga, and Péribgan, Saptan), distributed in East and South-West health regions of Burkina Faso. Different collection methods were used: Human Landing Catches (HLC) executed indoor and outdoor, Window Exit-Trap, Double Net Trap (DNT) and Pyrethrum Spray Catches (PSC). Molecular analyses were performed to identify Anopheles gambiae s.l. sibling species and to detect Wuchereria bancrofti and Plasmodium falciparum infection in Anopheles mosquitoes. A total of 3 322 mosquitoes were collected among this, Anopheles gambiae s.l. was the vector caught in largest proportion (63.82%). An. gambiae s.l. sibling species molecular characterization showed that An. gambiae was the dominant specie in all villages. The Human Landing Catches (indoor and outdoor) collected the highest proportion of mosquitoes (between 61.5% and 82.79%). For the sampling vectors infected to W. bancrofti or P. falciparum, PSC, HLC and Window Exit-Trap were found the most effective collection methods.

Conclusions/Significance

This study revealed that HLC indoor and outdoor remained the most effective collection method. Likewise, the results showed the probability to use Window Exit-Trap and PSC collection methods to sample Anopheles infected.

Author summary

In Burkina Faso, the monitoring and evaluation scheme to assess the impact of lymphatic filariasis and malaria interventions is relied only on parasitological tests. While nowadays, the most simple and direct measure of vector borne diseases is xenomonitoring. When the both diseases prevalence is low in human population, sampling large numbers of mosquitoes is necessary for xenomonitoring. This study was undertaken in this context to assess the efficiency of four mosquito collection methods for xenomonitoring LF and malaria. Mosquito collections were performed between August and September 2018 in four villages, distributed in East and South-West health regions of Burkina Faso. Human Landing Catches (HLC), Window Exit-Trap, Double Net Trap (DNT) and Pyrethrum Spray Catches (PSC) were evaluated. The results showed that HLC remained the most effective collection method by collecting the highest number of Anopheles (2 388; 71.88% of total). Across the study, mosquito infection rate for W. bancrofti and P. falciparum were 0.004 and 0.13 respectively. To collect vectors infected it was found that Window Exit-Trap and PSC were efficient. In conclusion, HLC has been shown to be appropriate for collecting large number of mosquitoes. Likewise, Window Exit-Trap and PSC can be useful for malaria and lymphatic filariasis xenomonitoring.

Introduction

Vector borne diseases are major threat to human health worldwide. According to the World Health Organization (WHO), these diseases account for about 17% of the global burden of communicable diseases and are widespread in the poorest regions of the world [1]. Malaria and lymphatic filariasis (LF) cited as one of the main mosquito-borne human diseases, exhibit a high level of morbidity and mortality in Sub-Saharan Africa. These are parasitic diseases, which Wuchereria bancrofti is responsible for the majority cases of LF and most malaria cases are caused by Plasmodium falciparum [2]. The parasites of both diseases are in majority transmitted by mosquitoes of the genus Anopheles in West Africa [3,4].

In Burkina Faso, nearly 80.5% of cases and an estimated 4 144 deaths due to malaria were recorded throughout the country in 2017 [5]. At the same time, the national neglected tropical diseases control program (NNTDCP) report revealed, that LF transmission is interrupted in 60 of the country’s 70 health districts. However, microfilaria prevalence remains above 1% in some health districts distributed in the Centre, Centre-East, East and South-West health regions [6].

While significant progress have been made in the purview of control and elimination of LF and malaria [7,8], through vector control and chemoprevention, an effective assessment of interventions is necessary to assess the interruption of both diseases transmission. In Burkina Faso, the monitoring and evaluation scheme to assess the impact of LF intervention is only focusing on parasitological tests by microfilariae diagnostic in human population but does not include the detection of parasite in mosquitoes [9]. With regard malaria control, in punctual studies, the scheme to assess the impact of intervention is done in one of two ways. Firstly, human blood is tested for the presence of the parasite [10]. Secondly, mosquitoes are collected and tested, either through dissection to find the parasite [11], or through the use of molecular methods to detect the DNA [12]. Nowadays, the most direct and simple timely measure of vector borne diseases transmission is through the examination of vectors, for the presence of infective stages of the parasites responsible for the infection [3]. To this effect, determine the presence of parasites in vectors, remains an option to be considered, to evaluate malaria and LF transmission after the control strategies setting up [13,14]. However, when the both diseases prevalence is low in human population, sampling large numbers of mosquitoes is necessary [15,16]. Thus, effective collection methods must be used for sampling potential vectors of pathogens.

In vector borne diseases control, several mosquito collection methods (such as: mouth aspirator catches of indoor resting mosquitoes, pyrethrum spray catches, human landing catches, attractant traps, gravid traps, entry–exit trap) used to determine the infection rate in vector population. In Burkina Faso context, sampling mosquitoes relies almost exclusively upon human landing catches [17,18]. This collection method is difficult to approve ethically, due to exposure the collectors to the bites of mosquitoes infected. So, to take these ethical issues into account, alternative traps have been designed and compared with human landing catches for monitoring these diseases [19,20]. However, no study has compared the performance of mosquito traps for malaria and LF monitoring simultaneously in the country. The present study was undertaken to assess the efficacy of four vectors collection methods for malaria and LF xenomonitoring in areas of Burkina Faso where malaria is endemic and LF persist. Specifically, to identify the different mosquito species responsible for both diseases transmission simultaneously, determine appropriate collection methods for sample large number of mosquitoes and calculate the rate of mosquitoes infected, sampled by each method.

Methods

Ethics statement

Ethical consent of the study was obtained from ethic committee of Institut de Recherche en Science de la Santé (Bobo-Dioulasso) under the N°A08/2014/ CEIRES.

Community engagement was obtained following meetings between a group of staff (including entomologists, anthropologists) from Institut de Recherche en Sciences de la Santé (IRSS) and the local authorities of each study village. During these meetings, IRSS staff presented the protocol and the study objectives, highlighting the strategies used to survey vector of diseases, focusing on malaria and lymphatic filariasis, and the importance of the role that villagers could play in supporting its success.

A written consent form was signed or marked with fingerprint by the participants of the HLC and DNT experiments. Only participants in collection activities had access to the consent forms. Later, the papers have stored in archives. Malaria and LF prophylaxis were provided to vectors collectors.

Study sites

This study was conducted in the Fada health district (East health region) likewise in Gaoua and Diébougou health districts (South-West health region). We selected four villages for the entomological surveillance: Seiga village (-0.085971°W; 11.965555°N) and Koulpissi village (-0.097974°W; 12.078119°N) located in East health region, Saptan village (-3.404237°W; 1083015°N) and Péribgan village (-3.3387°W; 102218°N) located in South-West health region (Fig 1).

The East health region is located in the southeastern part of the country and bordered to south and east by Togo, Benin and Niger. Inside the country, the region is bordered by the region of the Centre-East, the region of Sahel and the region of Centre North. East health region is characterized by a sparse hydrographic networks and savanna type vegetation.

The South-West health region is in the south of Burkina Faso. The region is bordered by Côte d’Ivoire in the south and the region of Centre-West and Ghana to the east. To the north, the region of Boucle du Mouhoun and Haut Bassins border the region. To the east, the South-West health region is bordered by the Cascades Region. South-West health region is characterized by a dense hydrographic network and wooded type savannah vegetation dotted with clear forest and gallery.

Collection methods

Human Landing Catches (HLC).

It is method which enables to sample mosquitoes seeking a human host for taking the blood feeding. Thus, the mosquitoes are collected when they land on exposed legs. This method is useful for assessing human-vector contact, host attractiveness, mosquito survival and infection and infectivity rates [21]. HLC is the most common method of collecting large number of mosquitoes, but it is ethically questionable due to the exposure of the collectors [15,22,23].

Window Exit-Trap.

These traps are rectangular boxes made of a wooden or wire frame on which is stretched a mesh of braided glass fibers. On one side there is an inclined rectangular slot made of wire to allow mosquitoes to enter and on the other side there is an opening in which a cotton suction sleeve is inserted and can be closed [15,22]. Window Exit-Trap is used to monitoring some vectors species that tend to enter houses at night bite and leave the house soon after feeding without resting indoor. It provides information about exophilic versus endophilic resting behavior of vectors, physiological and biodemographic status distributions of the specimens sampled [16].

Double Net Trap (DNT).

It is two box nets; the inner net protects the human-bait, and the outer net is raised of the ground so that mosquitoes lured to the human-bait are collected between the nets. The nets are not treated with any insecticide [15,23]. Several study have shown that DNT collection method as effective as the Human landing catches (HLC) method in term of the number of infected mosquitoes collected but it was less effective in term of density (total number of mosquitoes collected: infected and uninfected mosquitoes)[24,25].

Pyrethrum Spray Catches (PSC).

This method consisted of spraying the inside of houses closed with residual aerosol insecticide very early in the morning [22].The PSC is one of the most common methods for sampling indoor-resting populations of vectors. It is used to yield information on feeding pattern survey indoor resting densities and vector species composition [16].

Study design

This was a cross-sectional study, that was conducted in four villages (Seiga, Koulpissi, Saptan and Péribgan) distributed in East and South-West health regions of Burkina Faso. Mosquitoes were collected between August and September 2018, during the rainy season which corresponding to the period of high abundance of mosquitoes. It was preliminary study, undertaken to assess the efficacy of four mosquitoes’ collection methods for LF and malaria monitoring in areas where malaria is endemic and LF persist. In each village, two collection days were carried out and 11 households, in which mosquito samples, were conducted were chosen in random way. The households were spread distributed as follows: two households for human landing catches, whose four consenting adult volunteers are recruited and trained at each site to collect mosquitoes (one indoor and other outdoor), two households for expose DNT to outdoor, two households for the Window Exit-Trap outdoor exhibition and five households for the PSC. The households were selected conveniently: Each household in each village was numbered. After, 11 numbers were selected randomly corresponding to the 11 households. So, each household had an equal chance of being selected. To avoid the households chosen not being concentrated in the same area of the village, the village has divided into 11 areas, before choosing the households.

Mosquito sampling

Vectors sampling by HLC and DNT were performed in four households, from 08:00 pm to 06:00 am. These two sampling methods were carried out alternately between the concessions during the two days of collection at each site. As for the Window Exit-Trap, they were kept on windows and the vectors sampling was done from 06:00 am to 09:00 am for the two consecutive collection days. PSC were done in the morning from 06:00 am to 09:00 am.

Trapped vectors were collected with aspirator and manual collection was done for mosquitoes taken in HLC and PSC. Mosquitoes were identified under a binocular magnifying glass using the identification key of Gillies and Coetzee [26].

Mosquito samples were stored on silicagel in 1.5ml tubes by species/collection method/village/period and brought to laboratory of Institut de Recherche en Science de la Santé in Bobo-Dioulasso for the molecular analyses.

Molecular detection of Wuchereria bancrofti and Plasmodium falciparum

The head and thorax of mosquitoes from the Anopheles genera (An. gambiae s.l., An. nili, An. funestus s.l., An. sp) were served to genomic DNA extract. DNA was extracted with 2% Cetyl Trimethyl Ammonium Bromide (2% CTAB). Then, Sine 200X 6.1 locus protocols described by Santolamazza et al., [27] were used to identify the members of An. gambiae complex. To detect W. bancrofti and P. falciparum infection, DNA amplification was carried out following the procedure described by Ramzy et al., [28] and Echeverry et al., [29] respectively. Primer sequences NV-l [5′ CGTGATGGCATCAAAGTAGCG 3′ (21-mer)] and NV-2 [5′ CCCTCACTTACCATAAGACAAC 3′ (22-mer)] specific for W. bancrofti detection served to the reaction. The amplification reaction was done with final volume of 20 μL. A 2% agarose gel, stained with ethidium bromide was used for electrophoresis. The bands size expected was between 188bp and 200bp. The primers COX-IF (5′AGAACGAACGCTTTTAACGCCTG3′) and COX-IR (3′ACTTAATGGTGGATATAAAGTCCATCCwGT 5′) was used for P. falciparum detection. A reactional volume of 25 μL was used for amplification. A 1.5% agarose gel, stained with ethidium bromide was used for electrophoresis. The band size expected was ~540 bp.

Data analysis

The statistical processing of the data was done with the software R. The interface R_Studio of R version 3.3.1 was used to perform the Chi square test (X2) with a probability threshold p-value = 5% to compare the proportion of mosquitoes sampled by collection method and by health region. The infection rates of W. bancrofti and P. falciparum in mosquitoes was estimated using the Pool Screen software 2.0 [30] with 95% confidence interval (CI) reported as the maximum likelihood. As this is a preliminary study, no gold standard has defined. The comparison was made between collection methods.

Results

Mosquito abundance and composition

A total of 3 322 mosquitoes were collected in the four villages distributed in the two health regions during the study period. Morphological identification of collected mosquitoes showed that 2 603 (78.35%) were filarial and malaria vectors belonging to members of the An. gambiae complex, An. funestus s.l. and An. nili (Table 1). There was difference (X2 = 643.19, df = 7, p-value< 2.2e-16) in the mosquito species composition sampled in the villages distributed in every health region. Out of the mosquitoes collected methods, Human Landing Catches collected largest number of mosquitoes 1 046 (61.5%) in the villages of East health region and 1 342 (82.79%) in the villages South-West health region (Fig 2).

thumbnail
Fig 2. Percentages of mosquitoes (combined data) caught by sampling method in the study sites of the East and South-West health regions.

(p-value = 2−16) (HLC: Human Landing Catches; PSC: Pyrethrum spray catches; WET: Window Exit-Trap; DNT: Double Net Trap).

https://doi.org/10.1371/journal.pntd.0012021.g002

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Table 1. Mosquito composition by collection method in four villages distributed in two health regions of Burkina Faso (HLC: Human Landing Catches; PSC: Pyrethrum Spray Catches; WET: Window Exit-Trap; DNT: Double Net Trap).

https://doi.org/10.1371/journal.pntd.0012021.t001

In East health region villages, of the 1 701 mosquitoes collected, An. gambiae s.l. was collected in largest proportion using HLC (80.9%), PSC (82.4%) and Window Exit-trap. On the other hand, Aedes sp. (47%) was collected using DNT (Fig 3). No An. funestus s.l. has been collected in this health region villages.

In South-West health region villages, 1 621 mosquitoes were collected. An. gambiae s.l. were the mosquito species predominantly sampled by the HLC (50%), PSC (90%) and Window Exit-trap (77%) followed by An. nili collected in 31% and 14% by HLC and Window Exit-trap respectively. Culex sp (47%) was collected using DNT in this health region villages (Fig 3).

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Fig 3. The relative percentage of the different mosquito species (combined data) caught by the four sampling methods in the study sites of the East and South-West health regions.

(Where ‘N’ is the number of mosquitoes caught in each trap; HLC: Human Landing Catches; PSC: Pyrethrum spray catches; WET: Window Exit-Trap; DNT: Double Net Trap).

https://doi.org/10.1371/journal.pntd.0012021.g003

Only An. gambiae sibling species are molecular identified. Molecular characterization of 327 An. gambiae s.l. sampled in South-West health region villages has shown that 90.83% were An. gambiae, 7.95% were An. coluzzii, and 1.22% were An. arabiensis. In East health region villages, 410 An. gambiae s.l. were sampled and molecular analyzed; 70% were characterized as An. gambiae, 28.54% were An. coluzzii and 1.46% was An. arabiensis. These proportions did not differ significantly between the collection methods (X2 = 0.8, p-value = 0.6).

Mosquito infection rate

As this is a preliminary study, only Anopheles (An. gambiae s.l., An. funestus s.l. and An. nili) unfed, sampled by every collection method, in the villages of each health region, were selected and analyzed to determine the infection rate.

Only An. gambiae sibling species have been found to be infected. From a total of 815 heads and thorax analyzed, sporozoid index was 0.13 and the microfilaria index was 0.004 in the villages of all health regions (Table 2). Pyrethrum spray catches and Window Exit-traps were able to collect vectors infected to P. falciparum (so the most effective collection methods to collect vectors infected to P. falciparum) in the villages of East and South-West health regions respectively. Regarding the mosquito microfilaria infection, one vector was identified in the villages of South-West health region sampled by the PSC collection method. In the villages of East health region two vectors were identified, one sampled by HLC indoor and the other by HLC outdoor. None of the analyzed mosquitoes was found to be infected.

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Table 2. Sporozoid and microfilaria index in mosquitoes by collection method according to every health region (HLC: Human Landing Catches; PSC: Pyrethrum Spray Catches; IS: Sporozoid Index; ImF: microfilaria index; TP: total of vectors positive).

https://doi.org/10.1371/journal.pntd.0012021.t002

Discussion

The sustained success of vectors borne disease elimination depends, on a careful and comprehensive monitoring parasite infection in vector populations, to detect potential persistence and/or recrudescence after diseases control tools setting up, particularly in high-risk areas. However, several methods are used to collect infected mosquitoes [25], potential vectors of certain diseases such as LF, dengue, malaria. There is a challenge to identify efficient vector collection methods for Anopheles mosquitoes, the primary vectors of LF and malaria in Sub-Saharan Africa [3]. This study reports on the first evaluation of different mosquito collection methods for monitoring LF and malaria simultaneously in Burkina Faso.

In this study, Anopheles genus was caught in largest proportion using the HLC and PSC. An. gambiae s.l. was collected mainly with a significant difference in the abundance of mosquito species sampled at each health region. Indeed, the collections were carried out during the rainy season (between August and September 2018). Thus, the presence of An. gambiae s.l. in high proportion is probably linked to the presence of the species’ preferred breeding sites, which are mostly temporary sites. The potential reasons for HLC and PSC attractiveness between collection methods is probably the season in which collections were conducted. This can be considered as one of the limitations of our study, as it was carried out only once (during the rainy season). To this effect, rain’s presence may make some traps (DNT and Window Exit-Trap) less attractive compared to others (HLC and PSC) in the collection of Anopheles which are anthropophilic vectors. In the assessment of vectors collection methods, Irish et al., [31] found that the rainy season can be a factor limiting the attractiveness of a trap in collecting potential vectors of LF, due to the presence of alternative favorable components for their reproduction. The molecular identification of sibling species of An. gambiae complex showed that An. gambiae and An. coluzzii were the most predominant in both health regions. An. gambiae and An. coluzzii repartitions are correlated and their geographical distribution has not changed much recent years [32,33] in Burkina Faso. A recent study showed that An. nili was W. bancrofti potential vector [34] in this region. Other Anopheles species in particular An. pharoensis, An. rufipes, An. coustani, An. flavicosta and An. pretoriensis can be encountered [12].

In East health region, the Window Exit-trap was the least attractive trap compared to the average number of mosquitoes collected per method. The low mosquitoes proportion catch of the trap can be explained by the resting behavior of the majority vectors because Window Exit-trap is useful for sampling mosquitoes with exophilic behavior and to trap mosquitoes that leave houses for oviposition [15]. In our context vectors have probably endophage/exophage and endophilic behavior because, the majority was sampled by HLC and PSC.

Pyrethrum Spray Catches and Window Exit-trap were collection methods less attractive in mosquitoes’ sample in South-West health region. The low mosquito catch by these traps in this region could be explained by the vectors blood feeding behavior that are probably endophage and/or exophage because HLC collection methods have sampled the highest proportion of vectors.

Double net trap was found to be the effective trap in the Aedes sp and Culex sp collection during our sampling period. The highest proportion of Culicinae collected with this trap has been demonstrated by previous studies [31,35] in the collection of Culex sp potential vectors of LF in Brazil and Aedes sp dengue vectors in China. The mosquito species diversity collected by DNT (Fig 3) positioned outdoor shows that this trap is efficient to collect a broader range of vector species which have probably exophage behavior.

It was found that HLC was the collection method which enabled to sample large number of mosquitoes in all villages in both health regions. According to WHO recommendations, for LF xenomonitoring, around 10,000 mosquitoes should be analyzed. In addition, to measure the entomological inoculation rate when the intensity of malaria transmission is low in an area, sampling large number of mosquitoes is necessary. In our context, malaria and LF are transmitted by the same mosquito vectors. By also following vectors trophic behavior, we estimate that among the four collection methods, HLC is the most effective method for lymphatic filariasis monitoring as well as malaria, despite the fact that we are in endemic area of malaria.

The number of samples through analyzed PCR for the searching P. falciparum and W. bancrofti gene in this study was low (as, in the surveillance phase of LF requires processing about 10 000 mosquitoes). However, they illustrate the utility of detecting parasite DNA in mosquitoes. Thus, the infected vectors obtained from the traps, supports the evidence that these methods are useful for sampling mosquitoes and to carry out pertinent monitoring of vector borne diseases in Burkina Faso. Hence, these collection methods could be employed in monitoring vector populations which can provide valuable information to support national programs’ decision to stop mass treatment in national level. Comparison of the differences in vectors infection index between collection methods and locations were not performed. Therefore, this is a limitation as this information is important and can inform vector monitoring campaigns. No co-infection was noted in the results obtained, previous study has shown co-infection in the human population and in the mosquito in some endemic regions of the country [34].

In perspective, it would be interesting to evaluate the effectiveness of different collection methods during different times of the year to sample potential vectors, to compare differences in vectors infection index between collection methods and sites, to use PSC and Window Exit-trap in addition to HLC for xenomonitoring, to examine the use of other collection methods such as Anopheles gravid trap (AGT) used in Ghana for the collection vectors potential of P. falciparum and W. bancrofti [22].

Conclusion

In both study regions, the traditional collection method human landing catches, was a very efficient collection method compared with the other traps, so particularly in the Eastern health region where the highest mosquitoes were found resting indoors. While the PSC, Window Exit-trap and HLC showed efficiency in trapping infected mosquitoes, there are limitations in relation to the fact that the collection was done only once and during the rainy season. Thus, as these are preliminary results, more in-depth studies are undergoing to guide the two national programs decision for best integrated management for malaria and lymphatic filariasis control.

Acknowledgments

The authors thank the community health workers for their availability during the study. They are grateful to Mr. Aboubacar Karabinta for the preparation of the study sites map. They warmly thank the inhabitants of the study sites for accepting and participating in the study in their villages. They thank also the national neglected tropical diseases control program (NNTDCP) and the national malaria control program (NMCP) for their collaboration.

References

  1. 1. World Health Organization. Global vector control response 2017–2030. 2017. Available: https://creativecommons.org/licenses/by-nc-sa/3.0/igo
  2. 2. Ullah MM, Balushi AYMDA, Aliyani NRSA, Kalarikkal B, Miranda RIC, Sherif SM, et al. Imported bancroftian filariasis discovered in a patient infected with Plasmodium falciparum: First case of concomitant parasitism in the Al-Buraimi Governorate, Oman. Infectious Disease Reports. 2020;12. pmid:32318255
  3. 3. Manguin S, Bangs MJ, Pothikasikorn J, Chareonviriyaphap T. Review on global co-transmission of human Plasmodium species and Wuchereria bancrofti by Anopheles mosquitoes. Infection, Genetics and Evolution. 2010;10: 159–177. pmid:19941975
  4. 4. de Souza DK, Koudou B, Kelly-Hope LA, Wilson MD, Bockarie MJ, Boakye DA. Diversity and transmission competence in lymphatic filariasis vectors in West Africa, and the implications for accelerated elimination of Anopheles-transmitted filariasis. Parasit Vectors. 2012;5: 259. pmid:23151383
  5. 5. MS. annuaire statistique ministère de la santé burkina faso. In: http://cns.bf/IMG/pdf/annuaire_ms_2018.pdf [Internet]. 2019 [cited 9 Feb 2021]. Available: https://www.google.com
  6. 6. NNTDCP. Rapport annuel d’activités 2017 du programme national de lutte contre les maladies tropicales négligées. Burkina Faso: Programme national des maladies tropicales négligées; 2018. Available: http://onsp-sante.bf/sites/default/files/publications/212/RAPPORT%20ANNUEL%20MTN%202017%20Burkina%20Faso.pdf
  7. 7. Bhatt S, Weiss DJ, Cameron E, Bisanzio D, Mappin B, Dalrymple U, et al. The effect of malaria control on Plasmodium falciparum in Africa between 2000 and 2015. Nature. 2015;526: 207–211. pmid:26375008
  8. 8. OMS. WHO position statement on integrated vector management to control malaria and lymphatic filariasis: Introduction. Weekly Epidemiological Record = Relevé épidémiologique hebdomadaire. 2011;86: 121–127.
  9. 9. Kima A, Guiguemde KT, Meda ZC, Bougma R, Serme M, Bougouma C, et al. Évaluation de l’impact du traitement médicamenteux de masse contre la filariose lymphatique dans 3 districts sanitaires et implication en santé publique: à propos de 12 sites de surveillance épidémiologique au Burkina Faso. Médecine et Santé Tropicales. 2019;29: 55–60.
  10. 10. Hien AS, Sangaré I, Coulibaly S, Namountougou M, Paré-Toé L, Ouédraogo AG, et al. Parasitological Indices of Malaria Transmission in Children under Fifteen Years in Two Ecoepidemiological Zones in Southwestern Burkina Faso. J Trop Med. 2017;2017. pmid:28286526
  11. 11. Gnémé A, Guelbéogo WM, Riehle MM, Sanou A, Traoré A, Zongo S, et al. Equivalent susceptibility of Anopheles gambiae M and S molecular forms and Anopheles arabiensis to Plasmodium falciparum infection in Burkina Faso. Malar J. 2013;12: 204. pmid:23764031
  12. 12. Soma DD, Zogo BM, Somé A, Tchiekoi BN, Hien DF de S, Pooda HS, et al. Anopheles bionomics, insecticide resistance and malaria transmission in southwest Burkina Faso: A pre-intervention study. PloS one. 2020;15: e0236920. pmid:32745085
  13. 13. Kelly-Hope LA, Molyneux DH, Bockarie MJ. Can malaria vector control accelerate the interruption of lymphatic filariasis transmission in Africa; capturing a window of opportunity? Parasit Vectors. 2013;6: 39. pmid:23433078
  14. 14. Bockarie MJ, Pedersen EM, White GB, Michael E. Role of vector control in the global program to eliminate lymphatic filariasis. Annual review of entomology. 2009;54: 469–487. pmid:18798707
  15. 15. WHO WH. Lymphatic filariasis: a handbook of practical entomology for national lymphatic filariasis elimination programmes. World Health Organization; 2013. Available: http://www.who,int/neglected_diseases/en
  16. 16. Govella N. Monitoring malaria vector densities and behaviours in Tanzania. PhD Thesis, University of Liverpool. 2010.
  17. 17. Gimnig JE, Walker ED, Otieno P, Kosgei J, Olang G, Ombok M, et al. Incidence of malaria among mosquito collectors conducting human landing catches in western Kenya. The American journal of tropical medicine and hygiene. 2013;88: 301–308. pmid:23249685
  18. 18. Kenea O, Balkew M, Tekie H, Gebre-Michael T, Deressa W, Loha E, et al. Comparison of two adult mosquito sampling methods with human landing catches in south-central Ethiopia. Malaria journal. 2017;16: 30. pmid:28086776
  19. 19. Sanou A, Moussa Guelbéogo W, Nelli L, Hyacinth Toé K, Zongo S, Ouédraogo P, et al. Evaluation of mosquito electrocuting traps as a safe alternative to the human landing catch for measuring human exposure to malaria vectors in Burkina Faso. Malar J. 2019;18: 386. pmid:31791336
  20. 20. Sawadogo SP, Nikiema AS, Coulibal S, Koala L, Niang A, Bougouma C, et al. Community implementation of human landing and non-human landing collection methods for Wuchereria bancrofti vectors. Journal of Parasitology and Vector Biology. 2021;13: 41–50.
  21. 21. Duvallet G, Chabasse D. Moustiques et pathogènes. Revue Francophone des Laboratoires. 2020;2020: 34–43.
  22. 22. Opoku M, Minetti C, Kartey-Attipoe WD, Otoo S, Otchere J, Gomes B, et al. An assessment of mosquito collection techniques for xenomonitoring of anopheline-transmitted Lymphatic Filariasis in Ghana. Parasitology. 2018;145: 1783–1791. pmid:29898803
  23. 23. Boakye DA, Frempong KK, Ogoussan KT, Otoo S, Polo MR, Dadzie SK, et al. Implementing a community vector collection strategy for monitoring vector-borne diseases in Ghana. Gates Open Research. 2019;3: 722.
  24. 24. Govella NJ, Chaki PP, Mpangile JM, Killeen GF. Monitoring mosquitoes in urban Dar es Salaam: evaluation of resting boxes, window exit traps, CDC light traps, Ifakara tent traps and human landing catches. Parasites & vectors. 2011;4: 40.
  25. 25. Cansado-Utrilla C, Jeffries CL, Kristan M, Brugman VA, Heard P, Camara G, et al. An assessment of adult mosquito collection techniques for studying species abundance and diversity in Maferinyah, Guinea. Parasites & vectors. 2020;13: 1–16. pmid:32209116
  26. 26. Gillies MT, Coetzee M. A supplement to the Anophelinae of Africa South of the Sahara. Publ S Afr Inst Med Res. 1987;55: 1–143.
  27. 27. Santolamazza F, Mancini E, Simard F, Qi Y, Tu Z, della Torre A. Insertion polymorphisms of SINE200 retrotransposons within speciation islands of Anopheles gambiae molecular forms. Malaria journal. 2008;7: 163. pmid:18724871
  28. 28. Ramzy RM, Farid HA, Kamal IH, Ibrahim GH, Morsy ZS, Faris R, et al. A polymerase chain reaction-based assay for detection of Wuchereria bancrofti in human blood and Culex pipiens. Trans R Soc Trop Med Hyg. 1997;91: 156–160. pmid:9196756
  29. 29. Echeverry DF, Deason NA, Makuru V, Davidson J, Xiao H, Niedbalski J, et al. Fast and robust single PCR for Plasmodium sporozoite detection in mosquitoes using the cytochrome oxidase I gene. Malar J. 2017;16: 230. pmid:28569159
  30. 30. Katholi CR, Toé L, Merriweather A, Unnasch TR. Determining the prevalence of Onchocerca volvulus infection in vector populations by polymerase chain reaction screening of pools of black flies. Journal of Infectious Diseases. 1995;172: 1414–1417. pmid:7594692
  31. 31. Irish SR, Stevens WMB, Derua YA, Walker T, Cameron MM. Comparison of Methods for Xenomonitoring in Vectors of Lymphatic Filariasis in Northeastern Tanzania. Am J Trop Med Hyg. 2015;93: 983–989. pmid:26350454
  32. 32. Torre A della, Fanello C, Akogbeto M, Dossou-yovo J, Favia G, Petrarca V, et al. Molecular evidence of incipient speciation within Anopheles gambiae s.s. in West Africa. Insect Molecular Biology. 2001;10: 9–18. pmid:11240632
  33. 33. Lehmann T, Diabate A. The molecular forms of Anopheles gambiae: a phenotypic perspective. Infect Genet Evol. 2008;8: 737–746. pmid:18640289
  34. 34. Coulibaly S, Sawadogo SP, Hien AS, Nikièma AS, Sangaré I, Rabila B, et al. Malaria and Lymphatic Filariasis Co-Transmission in Endemic Health Districts in Burkina Faso. Advances in Entomology. 2021;9: 155–175.
  35. 35. Tangena J-AA, Thammavong P, Hiscox A, Lindsay SW, Brey PT. The Human-Baited Double Net Trap: An Alternative to Human Landing Catches for Collecting Outdoor Biting Mosquitoes in Lao PDR. PLoS ONE. 2015;10: e0138735. pmid:26381896