Background and Objectives
The dramatic range expansion of the dengue vector Aedes aegypti is associated with various anthropogenic transport activities, but little is known about the underlying mechanisms driving this geographic expansion. We longitudinally characterized infestation of different vehicle types (cars, boats, etc.) to estimate the frequency and intensity of mosquito introductions into novel locations (propagule pressure).
Exhaustive adult and immature Ae. aegypti collections were performed on six different vehicle types at five ports and two bus/ taxi departure points in the Amazonian city of Iquitos, Peru during 2013. Aquatic vehicles included 32 large and 33 medium-sized barges, 53 water taxis, and 41 speed boats. Terrestrial vehicles sampled included 40 buses and 30 taxis traveling on the only highway in the region. Ae. aegypti adult infestation rates and immature indices were analyzed by vehicle type, location within vehicles, and sampling date.
Large barges (71.9% infested) and medium barges (39.4% infested) accounted for most of the infestations. Notably, buses had an overall infestation rate of 12.5%. On large barges, the greatest number of Ae. aegypti adults were found in October, whereas most immatures were found in February followed by October. The vast majority of larvae (85.9%) and pupae (76.7%) collected in large barges were produced in puddles formed in cargo holds.
Because larges barges provide suitable mosquito habitats (due to dark, damp cargo storage spaces and ample oviposition sites), we conclude that they likely serve as significant contributors to mosquitoes’ propagule pressure across long distances throughout the Peruvian Amazon. This information can help anticipate vector population mixing and future range expansions of dengue and other viruses transmitted by Ae. aegypti.
The dengue vector, Aedes aegypti, is an invasive mosquito that is currently in the process of expanding geographically from urban to peri-urban and rural sites throughout Latin America. To improve our understanding of Ae. aegypti population mixing and how it is introduced to new areas, we investigated the infestation levels of different aquatic and terrestrial vehicles in the Peruvian Amazon. Our results show that large barges are heavily infested with Ae. aegypti, and therefore are likely to play an important role in Ae. aegypti geographic expansion.
Citation: Guagliardo SA, Morrison AC, Barboza JL, Requena E, Astete H, Vazquez-Prokopec G, et al. (2015) River Boats Contribute to the Regional Spread of the Dengue Vector Aedes aegypti in the Peruvian Amazon. PLoS Negl Trop Dis 9(4): e0003648. https://doi.org/10.1371/journal.pntd.0003648
Editor: Roberto Barrera, Centers for Disease Control and Prevention, Puerto Rico, UNITED STATES
Received: November 13, 2014; Accepted: February 25, 2015; Published: April 10, 2015
This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: Funding for this study was provided by the National Institutes of Health Training Grant in the Population Biology of Infectious Diseases No. T32 AI55404-10 (L Real, PI) and by the Achievement Rewards for College Students (ARCS) Global Health Impact Award. Logistical support for this study was also provided by NIH/NIAID award No. R01 AI069341-01 (TW Scott, PI). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: GVP and UK are co-inventors of the Prokopack aspirator, and are co-holders of a not-for-profit patent for the Prokopack aspirator through Emory University, Atlanta, GA. The other authors report no relationships that would constitute conflict of interest in this publication. This does not alter our adherence to all PLOS policies on sharing data and materials.
Anthropogenic changes such as increased trade, rapid transportation, and population movements favor the introduction and establishment of invasive mosquitoes and pathogens . Recent reports of dengue in Key West, Florida , West Nile Virus in the United States , and Chikungunya in the Caribbean  demonstrate the potential for introduced mosquitoes and pathogens to cause serious outbreaks. Accordingly, an understanding of the biological and ecological factors that facilitate establishment of a vector species in a new location can provide timely information to develop and implement vector surveillance and control, and in particular to suppress the geographic expansion of vector-borne pathogens.
An invasion process can be summarized as a series of sequential steps including transport to a new region, release into the new environment, establishment, and spread . Several factors determine the success of an invading organism, including the number and frequency of introduction events (propagule pressure), key life history traits, behavior of the invading species, and abiotic and biotic properties of the receiving ecosystem [5–8]. Dengue vector Aedes aegypti displays several characteristics that contribute to its rapid and ongoing spread through human transport activities including; egg desiccation resistance, anthropophilic blood-feeding, and oviposition in artificial water-holding containers commonly found in and around the home such as vases, plastic buckets, water storage tanks, and discarded refuse and tires [9–11].
Ae. aegypti dispersal occurs in one of two ways: 1) Adult Ae. aegypti may fly when seeking human hosts or oviposition sites, and 2) Ae. aegypti eggs, larvae, pupae, or adults may be passively transported from one place to another via anthropogenic activities. It is generally accepted that Ae. aegypti flight range is limited to ~100m and often much less [12–14], and therefore human activities are responsible for mosquito dispersal over longer distances. Human-mediated dispersal is supported by evidence from population genetics studies [15–17], in addition to field studies documenting Ae. aegypti on airplanes, boats, and trains [9,18,19]. Indeed, Ae. aegypti most likely was transported from West Africa to the Americas via trade ships in the 15th-19th centuries [10,20].
Since the waning of a Pan American Health Organization yellow fever control program in the 1960–70s [21,22], Ae. aegypti has been expanding from urban to peri-urban and rural areas throughout the Americas, including the Peruvian Amazon [23,24]. Our previous research demonstrates different spatial patterns of Ae. aegypti infestation in communities accessible by roads vs. rivers. Ae. aegypti expansion follows the linear configuration of highway communities, whereas no clear pattern exists in riverine communities . Although environmental differences between settlements (i.e.—abundance of wet containers) may contribute to the heterogeneous infestation pattern, it is also possible that varying degrees of frequency and intensity of new mosquito introductions (propagule pressure) contribute to the spatial pattern of Ae. aegypti geographical spread. That is, some towns are likely to have more frequent introductions than others.
Insect vector invasion via human transportation networks has been previously described, e.g., Culex quinquifasciatus transport via airplanes in the Galapagos , Triatoma infestans movement via human activities in Peru , and Aedes albopictus movement through tire trade . Morrison et al (2006) showed Ae. aegypti infestation in Iquitos ports and in large barges, but did not characterize temporal trends of infestation or the extent of vehicle infestation patterns . In the present study we specifically address propagule pressure through an analysis of Ae. aegypti infestation rates of different vehicle types in a relatively isolated region of the Peruvian Amazon. We compared Ae. aegypti adult and immature infestation levels of various vehicle type (boats, buses, taxis, etc.) and between periods of high and low precipitation. Our approach provides empirical data on vehicle infestation that can be combined with transportation data to provide more accurate estimates of propagule pressure, thus aiding in our ability to ultimately predict Ae. aegypti range expansion and mitigate future dengue outbreaks.
Permission for this study was granted by the Loreto Regional Health Department, and the study protocol was approved by the NAMRU-6 Institutional Review Board in compliance with all applicable Federal regulations governing the protection of human subjects (protocol number NAMRU6.2012.0039). Vehicle operators provided oral consent to the collection of mosquitoes, and no personal information was collected during entomological surveys. In accordance with the NAMRU-6 IRB-approved protocol, we provided vehicle operators with handouts documenting mosquito collection procedures in detail. Written consent was not appropriate for this study, since our project only involved the collection of mosquitoes and no personal information was collected. In addition, the Emory University Institutional Review Board determined that this study does not represent human subjects based research.
Iquitos is the most populous city in the Peruvian Amazon, with approximately 400,000 inhabitants in the metropolitan area. Although river networks are the predominant mode of transit, a 95 km road connecting Iquitos to the smaller city of Nauta (population: 17,000), facilitates terrestrial commerce and population movement. Seasonal fluctuations in Amazon River levels influence the degree of transit within the Peruvian Amazon: river transit is most intense when the river levels are intermediate (September-January, April-June) and less frequent during periods of extreme high or low river levels (highest in ~March, lowest in ~August) .
In February, May, August, and October of 2013 we surveyed different vehicle types for Ae. aegypti adult and immature mosquitoes. Weather in Iquitos exhibits seasonality, but the magnitude of change in temperature and precipitation is small . Although precipitation occurs throughout the year, it is usually lowest between May and September (S1 Fig). Thus, we carried out two collections during periods when precipitation was high (February and October) and two collections during periods when precipitation and temperatures were lowest (May and August). The high precipitation period coincides with the dengue season in Iquitos, occurring from September to April .
Six different aquatic vehicle types and two different terrestrial vehicle types were surveyed. Aquatic vehicles included large barges (locally known as lanchas), medium-sized barges (lanchitas), speed boats (rápidos), and small water taxis (peque-peques) (Fig 1). Large barges (length ~30m) carry passengers and cargo throughout the Peruvian Amazon and have 2–3 floors including cargo holds in the bottom of the boat. Medium-sized barges (length ~20m) carry cargo and passengers locally in the Iquitos region and have 1–2 floors, but no cargo holds. Terrestrial vehicles included van-sized buses (combis) and taxis that travel along the Iquitos-Nauta highway (Fig 2), the only major road out of Iquitos, a city which is only accessible by airplane or river travel (minimum of 3 days). For each sampling period, we surveyed between 7 and 17 vehicles of each type for adult and larval mosquitoes.
Aquatic vehicles surveyed included (clockwise from upper left); large barges (lanchas), medium-sized barges (lanchitas), small water taxis (peque-peques), and speed boats (rápidos). Terrestrial vehicles surveyed included buses (combis) and taxis.
Transportation is dominated by fluvial activity, with the exception of a 95km highway running from Iquitos to Nauta.
We surveyed boats and taxis/ buses at five different ports and three different bus stations/ taxi departure points in Iquitos. Vehicles were selected on the basis of departure times (only vehicles staying in port less than two days were included) and the willingness of the owners to participate in the study. We recorded the vehicle name and registration number (when applicable) to uniquely identify each vehicle.
Adult mosquitoes were captured using Prokopack aspirators  along the walls of each vehicle, and on every floor including cargo holds. Collection effort was proportional to vehicle size. All adult mosquitoes were transported to the lab, killed by freezing at -20°C, and identified to species using taxonomic keys. When identification to species was not possible due to damage or descaling, mosquitoes were identified and tallied by genus. Male and female mosquitoes were separated and counted, and physiological stage for females was evaluated according to three categories: empty, partially engorged, or completely engorged. When applicable, we also recorded the locations of the mosquito collections within the vehicles (floors 1–3 or cargo holds).
We searched all vehicles for immature mosquitoes, although they were only found on large and medium barges. We thoroughly searched every floor of barges including cargo holds for immature mosquitoes in water-holding (wet) containers. In accordance with previously established protocols [11,30], for each wet container we recorded the location by floor and room type (i.e.- cargo hold, kitchen, etc.), degree of organic material in the water (on a scale of 1 to 3, with 3 representing high concentrations of organic material), container type, solar exposure, fill method (active collection of water via human activities vs. passive, unintentional accumulation of water), presence of abate, and the presence of other mosquito species. All immature mosquitoes were collected in Whirl-pack bags (Nasco, Fort Atkinson, WI) and transported to the laboratory for rearing and identification to species using taxonomic keys. Immature mosquitoes were counted and tallied by species and life stage (egg, larvae, or pupae). After collecting immature mosquitoes, we either emptied the wet containers or we treated the container with Abate (temephos) larvicide to prevent further proliferation of mosquito populations.
Simultaneous with entomological surveys, we interviewed vehicle drivers to determine the frequency of travel between Iquitos and surrounding towns for each vehicle type (and thus we were able to estimate the number of vehicles traveling to each town). Additionally, the final destinations for each vehicle were mapped using ArcGIS, and the path distances between final destinations and Iquitos were measured. We then calculated the average distance traveled for each vehicle type infested with Ae. aegypti mosquitoes.
Data Management and Analysis
Due to unpredictable vehicle transit patterns in Iquitos, on a number of occasions we sampled the same barge more than once. In order to adhere to statistical assumptions of independence we randomly selected which observation would be included in the dataset for all statistical tests. We assigned a unique identifier to each individual vehicle, and all vehicles that were only sampled on one occasion were included in the final subset of data. For vehicles that were sampled on multiple occasions, we assigned an additional identifier representing the sampling occasion. (For example a vehicle surveyed in both February and May would be assigned a sampling occasion numbers 1 and 2, respectively.) The sampling instance to be included in the subset of data was randomly selected using a random number generator. Subsampling left us with a total of 32 independent collections from large barges, 33 medium barges, 41 speed boats, 53 water taxis, 40 buses, and 30 taxis.
Fisher’s exact tests were used to determine whether there was variation in proportion of infested vehicles within and between sampling periods. Further analysis was conducted only for large and medium-sized barges, where the vast majority of Ae. aegypti and other mosquitoes were found.
For these large and medium barges, the number of Ae. aegypti adults (total, females, and blood-feds) and immatures (larvae and pupae) per barge was calculated by date. Entomological indices were calculated, included the Premise (vehicle) Index (positive vehicles/ number inspected *100), the Container Index (positive containers/ number inspected *100), and the Breteau Index (positive containers/ vehicles inspected*100) . Pupal productivity was calculated by location within the boat (by floor) and by wet container type . Differences in abundance by location within medium barges were not tested, due to overall low Ae. aegypti abundance. Fisher’s exact tests were used to compare the proportion of infested vs. uninfested containers by container type.
Nonparametric Kruskal-Wallis tests for median comparisons among two or more groups were used to test the null hypothesis of no significant differences in Ae. aegypti abundance (for either adult or immature mosquitoes) by date or by location within boats (floors 1–3, cargo holds). Abundance comparisons between the high precipitation (February, October) and low precipitation (May, August) dates were made using non-paired Mann-Whitney Wilcoxon tests. We also used non-paired Mann-Whitney Wilcoxon tests to determine whether adult and immature Ae. aegypti abundance was greater for Puerto Masusa (Iquitos’ largest port) in comparison with all other sampling locations.
All data analysis was conducted using R Statistical Software .
For all dates, large barges were the most heavily infested with Ae. aegypti, with an overall infestation rate of 71.9%, followed by medium barges (39.4% infested) and buses (12.5% infested) (Fig 3).No Ae. aegypti mosquitoes were found on taxis, water taxis, or speed boats. Differences in the proportion of vehicles infested were statistically significant within all months except for May (Fisher’s exact test p< 0.003 in all other cases). Since the majority of mosquitoes were found on large and medium-sized barges, the remainder of our analysis is focused exclusively on those vehicle types. S1–S5 Tables show a complete list of all mosquito species found by vehicle type.
Vehicles were considered to be infested with Ae. aegypti if either adult or immature mosquitoes were found. Bars show 95% confidence intervals for proportions. Note that some barges were sampled repeatedly across seasons (N = 14), and within seasons (N = 2).
Large barges traveled extensively throughout the Peruvian Amazon, with an average path distance of 570 km per trip, conducting 3.2 trips per month. Medium barges traveled an approximate path distance averaging 195 km from Iquitos, with 6.5 trips per month (approximately 1/3 of the total distance of large barges per trip, with twice as many trips each month). Buses traveled more locally but with much greater frequency, with a path distance of ~76 km, and an average of 51 trips per month.
A total of 9 species of mosquitoes from six different genera (all of which have been previously identified in the Iquitos region) were found on large barges (S1 Table) [32,33]. Of the mosquitoes identified to species (N = 3850), Culex quinquefaciastus was the most common (62.6%), followed by Ae. aegypti (29.8%), and Culex coronator (2.5%) (Table 1, S1 Table). Cx. quinquefaciastus and Ae. aegypti remained the two dominant mosquito species throughout all sampling dates. Of the 32 individual barges sampled, adult Ae. aegypti were found in 23 barges, and immature Ae. aegypti were found in 7 large barges. Among large barges that were positive for immature Ae. aegypti, 6 out of 7 also contained adults.
Ae. aegypti adult abundance was highly aggregated—approximately 25% of large barges (N = 8) were responsible for 77.8% of all Ae. aegypti adults found. Adult Ae. aeygpti abundance did not differ significantly by date or between high and low precipitation periods. Approximately 75% of female Ae. aegypti collected (N = 66) were blood-fed (Table 2). Within boats, cargo holds had a higher average number of adult Ae. aegypti than floors 1–3 (Kruskal-Wallis Χ2 = 9.80, p< 0.05) (Fig 4). This pattern was consistent across all dates, except for August when overall abundance was low and slightly more mosquitoes were found on the first floor (1.6 mosquitoes/ boat on the first floor vs. 1 mosquito/ boat in the cargo holds). Adult Ae. aegypti were more likely to be found in large barges in Iquitos’ busiest port, Puerto Masusa, in comparison with all other ports sampled (Mann-Whitney Wilcoxon U = 182.5, p<0.05).
The vast majority of Ae. aegypti immature mosquitoes (A) and adult mosquitoes (B) were found in cargo holds.
Cx. quinquefasciatus and Ae. aegypti were the only two species of immature mosquitoes found in large barges. No differences in the numbers of Ae. aegypti pupae or larvae were detected by sampling date or by low vs. high precipitation months (Table 3). The proportion of positive containers was highest in October (Container Index: 9.8%), and the number of positive containers per 100 vehicles (Breteau Index: 85.7) was highest in August.
Interestingly, the proportion of vehicles positive for larvae or pupae was higher during sample dates with less precipitation, 30.8% for the May-August collections and 15.8% for the October-February collections. As with adult mosquitoes, the distribution of immature Ae. aegypti among barges was highly aggregated: 6.3% of barges (N = 2) produced 93.6% of larvae and 76.7% of pupae.
On average we found 16.7 wet containers per barge across all dates (SD = 10.3), with no difference between the low and high precipitation periods (17.9 containers/ vehicle SD = 12.8 vs 17.5 containers/ vehicle, SD = 9.0; U = 348, p>0.05). As with adult mosquitoes, immature Ae. aegypti were most likely to be found in cargo holds, accounting for 89.3% (N = 25) of positive habitats (Χ2 = 9.8, p<0.05). The remaining positive habitats were found on the first (7.1%, N = 2) and second floors (3.6%, N = 1) of barges. Difference in the number of larvae and pupae by floor approached significance, with a greater number of immature mosquitoes found in the cargo holds (larvae: Χ2 = 7.5, p = 0.06, pupae: Χ2 = 7.8, p = 0.05) (Fig 4).
The preferred habitats of larvae (85.9%) and pupae (76.7%) were puddles formed on the boat floor in cargo holds. Other containers produced immature mosquitoes, including tires (10.4% of larvae and 3.5% of pupae) and dishes (3.7% of larvae and 19.8% of pupae). The proportion of Ae. aegypti positive floor puddles, tires, and dishes was significantly greater in comparison with other container types (Fisher’s exact test p<0.05), but puddles in cargo holds were by far the most abundant habitat overall (N = 396). Other containers were relatively rare (Table 4). Despite thorough inspection, no mosquito eggs were found on barges, likely due to the extremely dark conditions in cargo holds.
Of the 14 barges that were sampled more than once, 13 were positive for Ae. aegypti immatures or adults during at least one sampling occasion. In general, barges that were initially infested tended to remain infested over time: only two boats were initially infested and later found to be uninfested.
On medium barges, 15 species of adult mosquitoes were found, with Cx. quinquefasciatus comprising 84.9% of all identified mosquitoes (Table 1, S2 Table). Ae. aegypti comprised 6.3% of mosquitoes, although overall abundance was significantly lower than for large barges (Table 2, N = 23 Ae. aegypti adults found among independent observations, U = 787.5, p<0.0001). There were no significant differences in adult Ae. aegypti abundance by date or by high vs. low precipitation period (Χ2 = 4.0, p> 0.05; U = 169, p>0.05, respectively).
Immature mosquitoes found on medium barges included Ae. aegypti and Cx. declarator-mollis. In comparison with large barges, immature indices on medium-sized barges were notably lower (Table 3). The proportion of boats positive for Ae. aegypti immatures was highest in August (Premise Index: 16.7), followed by February (Premise Index: 9.1). No immature mosquitoes were found on medium barges In May or in October. For all dates, about 0.9% of containers were positive (Table 4), and the types of containers infested differed significantly (tires, trash, and other container types, Fisher’s exact test p< 0.01).
In contrast to large barges, Ae. aegypti infestation status on medium barges was less consistent. Only three medium barges that were initially infested with Ae. aegypti remained infested in subsequent dates.
Few studies to date have actively monitored human transport vehicles for invasive species [19,25,34]. While Ae. aegypti has been previously documented on vehicles in Iquitos , we compared infestation across multiple vehicle types and across a full year capturing seasonal variation. We conclude that river boats are the most significant source Ae. aegypti regional spread in the Peruvian Amazon because 1) large and medium barges are frequently and heavily infested with mosquitoes, 2) the majority of towns in the Iquitos region are connected only by rivers, and 3) the spatial pattern of Ae. aegypti establishment in the region suggests a primarily riverine mode of spread . Although buses traveled most frequently, their overall infestation rates were very low (no more than one mosquito per sampling event), and they traveled for much shorter distances
Ae. aegypti and Dengue Invasion
Our results support the hypothesis that in the Peruvian Amazon aquatic transit is most important for the spread of Ae. aegypti. Although buses had a lower infestation rate in comparison with barges, terrestrial routes are important for trade and transportation in most of the rest of the world. Further study is needed to determine whether vehicle infestation rates are similar in other areas, and the degree to which terrestrial traffic contributes to Ae. aegypti invasion. Infestation rate, however, is only one component of propagule pressure, and a better measure of invasion risk would be the arrival of infested vehicles to new locations, as pointed out by Caton et al (2006). Infestation rate alone, therefore, may overestimate invasion risk, particularly when vehicle traffic is low, few mosquitoes are adults, or the male-female ratio is uneven .
Because there are no major highways in the Peruvian Amazon, regional transportation is predominantly aquatic: large barges frequently carry up to ~200 passengers to Iquitos from major population centers such as Pucallpa (approximately 200,000 inhabitants). It is therefore probable that infected individuals introduce dengue viruses to Iquitos by boat. Heavy mosquito infestation on boats could also lead to incipient virus transmission during travel. Trips can last several days (and in some cases weeks), leaving ample time for mosquitoes to take several blood meals. Stoddard et al (2014) described Amazon River levels as increasing during the first and third trimesters of the year (September-March), which are also periods of high dengue transmission. Since river traffic appears to be more intense during periods of intermediate river levels, we would expect more mosquito and dengue introductions during that time.
Dengue control strategies are very limited and focus on the reduction of mosquito infestations in urban areas where dengue cases have been detected: only rarely is control done preemptively. Results from this study, in conjunction with our previous findings , imply that Ae. aegypti mosquitoes move between Iquitos and surrounding towns. Population genetics studies could be used to characterize metapopulation structure of Ae. aegypti in the Iquitos region, and identify which routes (terrestrial or aquatic) are most relevant for gene flow. Evidence for fluid migration between subpopulations would indicate that rural settlements may serve as refuge sources for reinfestation or, given the limited vector control in such towns, potential sources of mosquitoes that are susceptible to insecticides.
Knowledge Gaps about Ae. aegypti Infestation of Boats
It is not surprising that in the Peruvian Amazon Ae. aegypti colonization of barges is extremely common, given that these vehicles provide all of the mosquito’s lifecycle needs: a captive group of human hosts for blood meals, abundant oviposition sites, and dark, cool resting places for adults. There are two means by which mosquitoes might initially colonize a boat: flight of adults in search of oviposition sites  or humans unintentionally carrying infested containers aboard. It is unclear however, which of these mechanisms is most common and how seasonality might influence the colonization process. Mark-release-recapture experiments in empty port areas could be employed to compare the relative “attractiveness” of boats vs. houses in different seasons. Human-mediated dispersal could be measured through intensive longitudinal monitoring of artificial containers being loaded into vehicles. Of course, both mark-release-recapture experiments and longitudinal monitoring of artificial containers on boats would be labor-intensive. Indeed, despite inspecting 971 different containers on 34 different large barges, we were unable to locate a single mosquito egg.
The most important seasonal change observed throughout the study was that collections from August (lower precipitation) showed a greater proportion of boats infested with immature Ae. aegypti (despite overall lower mosquito abundance). These patterns may be a result of Ae. aegypti searching more expansively for oviposition sites, due to scarcity of rain-filled wet containers in port areas during the periods of low precipitation . Indeed, the number of wet containers on large barges did not differ between dates, possibly because the most common immature habitats (ground puddles in cargo holds) are primarily filled through cleaning activities and possibly through rainfall (Fig 5).
Barges are typically mopped whenever the boat is docked at either its origin or destination point. Water from rain and cleaning activities drips from upper most floors (A) through rust holes in the cargo hold roof (B). Water accumulates in the bottom of the cargo holds (C), and Ae. aegypti eggs are laid on the edges of the puddles, hatching when the puddles are refilled with water.
Management of Ae. aegypti as an Invasive Species
Our findings indicate that periodic administration of larvicides alone is insufficient for mosquito control on boats. Despite administering temephos, we often found the same vehicle infested again some months later. Therefore, we propose an integrated approach that combines larvicide administration with habitat source reduction through improved boat construction, maintenance, and cleaning. Adulticides should also be employed during periods of high mosquito abundance. Though local law in Iquitos mandates that boats be sprayed periodically with insecticides, this is rarely done since the laws are not enforced and boat owners have no economic incentive to carry out mosquito control. Accordingly, we propose that governmental bodies invest in mosquito control activities through existing infrastructure for aquatic transit (such as port authorities). Both punitive policies (such as fines) and incentivizing policies (such as tax breaks) could be implemented to ensure individual cooperation with mosquito control activities. In some cases active surveillance and control of mosquito populations in airplanes and ports has been conducted to allow for early detection and rapid intervention of invasive species , although in resource-poor environments this unlikely to be a realistic solution. The aggregate distribution of adult and immature mosquitoes suggests that some boats may act as super-transporters of mosquitoes, just as individual hosts may act as super-spreaders of pathogens . Taking this into account, vector control programs might target those vehicles producing the greatest amount of mosquitoes. In our collections, we observed that infested boats tended to be older, and were more likely to have rust holes that allow water to drip between floors and collect in cargo holds to form puddles.
The views expressed in this article are those of the authors and do not necessarily reflect the official policy or position of the Department of the Navy, Department of Defense, nor the U.S. Government. Author Helvio Astete is an employee of the U.S. Government. This work was prepared as part of his official duties. Title 17 U.S.C. §105 provides that ‘Copyright protection under this title is not available for any work of the United States Government.’ Title 17 U.S.C. §101 defines a U.S. Government work as a work prepared by a military service member or employee of the U.S. Government as part of that person’s official duties.
S1 Fig. NOAA precipitation and rainfall data for Iquitos.
A) Average monthly rainfall (cm) for 2009–2013 and B) Daily average, minimum, and maximum temperatures for 2009–2013. The symbol * on the graph indicates the months in which sampling took place.
S1 Table. Adult mosquitoes found on large barges by season.
In some cases mosquito samples were damaged and could only be identified to genus or subgenus (denoted by spp.).
S2 Table. Adult mosquitoes found on medium barges by season.
In some cases mosquito samples were damaged and could only be identified to genus or subgenus (denoted by spp.).
S3 Table. Adult mosquitoes found on buses by season.
In some cases mosquito samples were damaged and could only be identified to genus or subgenus (denoted by spp.).
S4 Table. Adult mosquitoes found on speed boats by season.
We would like to thank Thora Kjærulff (Copenhagen University) and Nicolas Takken for their assistance with mosquito collections. The following students from the Universidad Nacional de la Amazonía Peruana assisted with mosquito collections and mosquito identification; Rosa Flores, Louis Funes, Julio Garcia, and Lucia Ríos. Gabriela Vásquez La Torre also provided general logistical support for this project.
Conceived and designed the experiments: SAG ACM UK GVP. Performed the experiments: SAG JLB ER HA. Analyzed the data: SAG. Contributed reagents/materials/analysis tools: SAG ACM JLB ER HA. Wrote the paper: SAG ACM UK GVP.
- 1. Alirol E, Getaz L, Stoll B, Chappuis F, Loutan L (2011) Urbanisation and infectious diseases in a globalised world. Lancet Infect Dis 11: 131–141. pmid:21272793
- 2. Centers for Disease Control and Prevention (2010) Locally acquired Dengue—Key West, Florida, 2009–2010. MMWR Morb Mortal Wkly Rep 59: 577–581. pmid:20489680
- 3. Reisen WK (2013) Ecology of West Nile virus in North America. Viruses 5: 2079–2105. pmid:24008376
- 4. Centers for Disease Control and Prevention (2014) Notes from the field: chikungunya virus spreads in the Americas—Caribbean and South America, 2013–2014. Ann Emerg Med 64: 552–553. pmid:25640241
- 5. Lockwood JL, Cassey P, Blackburn T (2005) The role of propagule pressure in explaining species invasions. Trends Ecol Evol 20: 223–228. pmid:16701373
- 6. Williamson MH (1996) Biological Invasions. London; New York: Chapman & Hall.
- 7. Chapple DG, Simmonds SM, Wong BBM (2012) Can behavioral and personality traits influence the success of unintentional species introductions? Trends Ecol Evol 27: 57–64. pmid:22001529
- 8. Levine JM, D'Antonio CM (1999) Elton revisited: a review of evidence linking diversity and invasibility. Oikos 87: 15–26.
- 9. Soper FL (1967) Dynamics of Aedes aegypti distribution and density. Seasonal fluctuations in the Americas. Bull World Health Organ 36: 536–538. pmid:5299446
- 10. Christopher SR (1960) Aedes aegypti (L.), the yellow fever mosquito. Its life history, bionomics and structure. Cambridge, UK: Cambridge University Press.
- 11. Morrison AC, Gray K, Getis A, Astete H, Sihuincha M, et al. (2004) Temporal and geographic patterns of Aedes aegypti (Diptera: Culicidae) production in Iquitos, Peru. J Med Entomol 41: 1123–1142. pmid:15605653
- 12. Muir LE, Kay BH (1998) Aedes aegypti survival and dispersal estimated by mark-release-recapture in northern Australia. Am J Trop Med Hyg 58: 277–282. pmid:9546403
- 13. Harrington LC, Scott TW, Lerdthusnee K, Coleman RC, Costero A, et al. (2005) Dispersal of the dengue vector Aedes aegypti within and between rural communities. Am J Trop Med Hyg 72: 209–220. pmid:15741559
- 14. Edman JD, Scott TW, Costero A, Morrison AC, Harrington LC, et al. (1998) Aedes aegypti (Diptera: Culicidae) movement influenced by availability of oviposition sites. J Med Entomol 35: 578–583. pmid:9701948
- 15. Huber K, Loan LL, Chantha N, Failloux AB (2004) Human transportation influences Aedes aegypti gene flow in Southeast Asia. Acta Trop 90: 23–29. pmid:14739019
- 16. da Silva AG, Cunha ICL, Santos WS, Luz SLB, Ribolla PEM, et al. (2012) Gene flow networks among American Aedes aegypti populations. Evolutionary Applications 5: 664–676. pmid:23144654
- 17. Lima RS, Scarpassa VM (2009) Evidence of two lineages of the dengue vector Aedes aegypti in the Brazilian Amazon, based on mitochondrial DNA ND4 gene sequences. Genetics and Molecular Biology 32: 414–422. pmid:21637700
- 18. Morrison AC SM, Stancil JD, Zamora E, Astete H, Olson JD, Vidal-Ore , Scott TW (2006) Aedes aegypti (Diptera: Culicidae) production from nonresidential sites in the Amazonian city of Iquitos, Peru. Annals of Tropical Medicine and Parasitology 100: S73–S86. pmid:16630393
- 19. Sukehiro N, Kida N, Umezawa M, Murakami T, Arai N, et al. (2013) First report on invasion of yellow fever mosquito, Aedes aegypti, at Narita International Airport, Japan in August 2012. Jpn J Infect Dis 66: 189–194. pmid:23698478
- 20. Carter HR (1931) Yellow fever. An epidemiologicaland historical study of its place of origin. Baltimore, Maryland: Williams & Wilkins Co.
- 21. W SFWDLSA (1943) The organization of permanent nationwide anti-Aedes aegypti measures in Brazil. In: Foundation TR, editor. New York.
- 22. LB SDC (1974) A review of the status of yellos fever and Aedes aegypti eradication programs in the Americas. Mosquito News 34: 1–9.
- 23. Guagliardo SA, Barboza JL, Morrison AC, Astete H, Vazquez-Prokopec G, et al. (2014) Patterns of Geographic Expansion of Aedes aegypti in the Peruvian Amazon. PLoS Negl Trop Dis 8: e3033. pmid:25101786
- 24. Diaz-Nieto LM, Macia A, Perotti MA, Beron CM (2013) Geographical limits of the Southeastern distribution of Aedes aegypti (Diptera, Culicidae) in Argentina. PLoS Negl Trop Dis 7: e1963. pmid:23383351
- 25. Bataille A, Cunningham AA, Cedeno V, Cruz M, Eastwood G, et al. (2009) Evidence for regular ongoing introductions of mosquito disease vectors into the Galapagos Islands. Proc Biol Sci 276: 3769–3775. pmid:19675009
- 26. Foley EA, Khatchikian CE, Hwang J, Ancca-Juarez J, Borrini-Mayori K, et al. (2013) Population structure of the Chagas disease vector, Triatoma infestans, at the urban-rural interface. Mol Ecol 22: 5162–5171. pmid:24103030
- 27. Reiter P, Sprenger D (1987) The used tire trade: a mechanism for the worldwide dispersal of container breeding mosquitoes. J Am Mosq Control Assoc 3: 494–501. pmid:2904963
- 28. Stoddard ST, Wearing HJ, Reiner RC Jr., Morrison AC, Astete H, et al. (2014) Long-Term and Seasonal Dynamics of Dengue in Iquitos, Peru. PLoS Negl Trop Dis 8: e3003. pmid:25033412
- 29. Vazquez-Prokopec GM, Galvin WA, Kelly R, Kitron U (2009) A new, cost-effective, battery-powered aspirator for adult mosquito collections. J Med Entomol 46: 1256–1259. pmid:19960668
- 30. Morrison AC, Astete H, Chapilliquen F, Ramirez-Prada C, Diaz G, et al. (2004) Evaluation of a sampling methodology for rapid assessment of Aedes aegypti infestation levels in Iquitos, Peru. J Med Entomol 41: 502–510. pmid:15185957
- 31. Team RDC (2008) R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.
- 32. Pecor JE, Jones J, Turell MJ, Fernandes R, Carbajal F, et al. (2000) Annotated checklist of the mosquito species encountered during arboviral studies in Iquitos, Peru (Diptera: Culicidae). J Am Mosq Control Assoc 16: 210–218. pmid:11081648
- 33. Johnson MF, Gomez A, Pinedo-Vasquez M (2008) Land use and mosquito diversity in the Peruvian Amazon. J Med Entomol 45: 1023–1030. pmid:19058625
- 34. Caton BP, Dobbs TT; Brodel CF (2006) Arrivals of hitchhiking insect pests on international cargo aircraft at Miami International Airport. Biological Invasions 8: 765–785.
- 35. Lloyd-Smith JO, Schreiber SJ, Kopp PE, Getz WM (2005) Superspreading and the effect of individual variation on disease emergence. Nature 438: 355–359. pmid:16292310