Abstract
Aedes mosquitoes, as vectors of medically important arthropod-borne viruses (arboviruses), constitute a major public health threat that requires entomological and epidemiological surveillance to guide vector control programs to prevent and reduce disease transmission. In this study, we present the collaborative effort of 1 year of Aedes ageypti (Linnaeus, 1762) mosquito-based arbovirus surveillance in 2 geographically distinct regions of Latin America (Nicaragua and Ecuador). Adult female mosquitoes were collected using backpack aspirators in over 2,800 randomly selected households (Nicaragua, Ecuador) and 100 key sites (Nicaragua) from 8 distinct communities (Nicaragua: 2, Ecuador: 6). A total of 1,358 mosquito female pools were processed for RNA extraction and viral RNA detection using real-time reverse transcription-polymerase chain reaction. Ten positive dengue virus (DENV) pools were detected (3 in Nicaragua and 7 in Ecuador), all of which were found during the rainy season and matched the serotypes found in humans (Nicaragua: DENV-1 and DENV-4; Ecuador: DENV-2). Infection rates ranged from 1.13 to 23.13, with the Nicaraguan communities having the lowest infection rates. Our results demonstrate the feasibility of detecting DENV-infected Aedes mosquitoes in low-resource settings and underscore the need for targeted mosquito arbovirus sampling and testing, providing valuable insights for future surveillance programs in the Latin American region.
Keywords: Aedes aegypti, entomo-virological surveillance, dengue virus, mosquito
Introduction
Aedes aegypti (Linnaeus, 1762) is the main vector of medically important arthropod-borne viruses (arboviruses), such as dengue, chikungunya, and Zika viruses. As Aedes mosquitoes continue to expand their global distribution (Messina et al. 2019), almost 4 billion people are now at risk for viral infection (WHO 2023). This constitutes a major public health threat that requires entomological and epidemiological surveillance to guide vector control programs to prevent and reduce the burden of disease. However, detecting early signs of arbovirus transmission is challenging, and mosquito-based arbovirus surveillance (i.e., detecting arboviruses in mosquitoes) is viewed as a tool that might provide early warning of impending outbreaks (Grubaugh et al. 2015). Achieving early detection of arboviruses in resource-limited settings presents challenges for sustainability since it requires the use of nucleic acid detection technology (real-time reverse transcription-polymerase chain reaction [RT-PCR] or quantitative RT-PCR [qRT-PCR]) (Ramírez et al. 2018), which can be an expensive endeavor. In addition, highly trained field entomologists to perform sorting, identification, and pooling are scarce in many regions and can be expensive due to the time and training required for these activities. Nonetheless, mosquito-borne arbovirus surveillance might provide a finer level of detail regarding vector transmission in local settings and help guide public health policy related to vector control tools. In this study, we present the results of 1 year of mosquito-based arbovirus surveillance in 2 distinct geographical regions of Latin America and our experience with implementation in resource-limited settings. This project was carried out as part of the Asian-American Centers for Arbovirus Research and Enhanced Surveillance (A2CARES) of the NIH Centers for Research on Emerging Infectious Diseases (CREID) network.
Methods
Study Sites and Design
This collaborative study was conducted in 2 geographically distinct regions; namely, Nicaragua (Central America) (Fig. 1A.1) and Ecuador (South America) (Fig. 1A.2). In Nicaragua, we worked in 2 districts within the capital city of Managua: District 2 (classified as urban) and District 3 (classified as urban–rural). The study focused on the catchment area of 1 public sector health center (District 2) and 2 health posts (District 3). Together, these districts comprise over 340,000 inhabitants and an overall population density of 3,800 people/km2 (INIDE 2021). In Ecuador, our research focused on 6 communities (Borbón [urban–rural], Colon Eloy, Santa Maria, Santo Domingo, Maldonado, and Timbiré [rural]) located in the northwestern province of Esmeraldas. Based on our study census, the population in the study communities is ~20,000 individuals. These communities have a combined population density of 41 people/km2 (Zambrano 2023). Both districts in Nicaragua and the communities in Ecuador encompassed low-income neighborhoods, with varying degrees of urban and rural characteristics, as well as differential access to healthcare services. The overall climate in both regions is tropical with marked rainy seasons (Nicaragua: June–December; Ecuador: March–July) (Thorsen 2015) that overlaps with the dengue transmission cycle.
Fig. 1.
Geographic location of the research sites in Managua, Nicaragua, and Esmeraldas, Ecuador, with positive arbovirus detection in female Ae. aegypti. (A) Gradient pattern color shows a heatmap of Ae. aegypti abundance by research site in (A1.1) Managua, Nicaragua and (A1.2) Esmeraldas, Ecuador. (B) District 2 of Managua, with positive detection for DENV and DENV-1. (C) District 3 of Managua, with positive detection of a single co-infection of DENV-1 and DENV-4. (D) Commercial area of Borbón in Esmeraldas, with positive detection of DENV-2. (E) Town of Maldonado in Esmeraldas, with positive detection of DENV-2. (F) Town of Timbiré in Esmeraldas, with positive detection for DENV-2. Nicaragua: Dots indicated positive pools per household. Ecuador: different color dots represent different pools. Maps were generated using QGIS v3.34 with publicly available administrative boundaries and satellite imagery from OpenStreetMaps (OpenStreetMap contributors 2023).
The entomological surveillance programs established for both sites are part of ongoing community-based cohort studies evaluating arboviruses in each region. In Nicaragua, we randomly selected a subset of 500 households from each district (of 2,166 and 1,000 households in the parent cohort study of Districts 2 and 3, respectively) and ~50 key sites (i.e., tire shops, cemeteries, and schools) from each district. This selection was done using a framework for patches of risk based on landscape features. In Ecuador, an average of 30% of all community households were randomly selected. The number of households varied from 356 to 2,880 depending on the community, for a total of 546 households surveyed.
Adult Aedes aegypti Surveillance
Adult mosquito collections were performed from February 2021 to December 2022. In Nicaragua, each household and key site was visited twice, once during the dry season (February–March) and once during the rainy season (September–December) of 2022. In Ecuador, each household was visited 17 times, with monthly surveys from February 2021 to July 2022, except for June 2022 due to a flooding event. In both sites, we used backpack aspirators (Prokopack), with slightly distinct collection methodologies. In Nicaragua, each household and key site was surveyed counterclockwise searching all available spaces (both indoors and outdoors, averaging 15 min per household), with field activities from 8 am to 5 pm. In Ecuador, households were surveyed using a 10-min indoor procedure that prioritized areas of human presence (e.g., bedrooms, kitchens, bathrooms, living rooms, etc.), with field activities from 8 am to noon.
Sample Processing and Laboratory Procedures
At both research sites, all adult mosquitoes were transported in coolers to our field facilities. Mosquito identification and sorting were performed by highly trained field entomologists. All Aedes aegypti mosquitoes were sorted by trapping location (indoor and outdoor), sex (males and females), and feeding status (non-fed and blood-fed). In Nicaragua, female mosquitoes were grouped into pools of ≤ 20/mosquitoes by household. In Ecuador, pools consisted of mosquitoes from a group of 15 households, with each pool containing ≤ 30 mosquitoes. For both sites, each pool was preserved in RNAlater (ThermoFisher) and stored at −80 °C until sample processing for molecular testing of arboviruses.
Aedes aegypti pools were initially macerated using liquid nitrogen and resuspended in 300 µl of PBS 1X and Triton X-100 (in Ecuador and Nicaragua), prior to RNA extraction. Pools were processed for RNA extraction using QIAamp Viral RNA kits and RNeasy Mini Kit (Qiagen, Germany) following the manufacturer’s specifications. Amplification of genetic material to detect dengue (DENV), zika (ZIKV), and chikungunya (CHIKV) arboviruses was performed using ZDC Multiplex RT-PCR Assay Kit (Bio-Rad, USA) (Waggoner et al. 2016). Afterward, Real-Time RT-PCR Assay was used to detect the DENV serotype (DENV-1 to DENV-4) in the DENV-positive pools (Santiago et al. 2013, Waggoner et al. 2013).
Infection Rate Analysis
The infection rates of mosquito pools provide an estimation of the probability of individual mosquito positivity, including point (P) and interval estimations (95% confidence interval [CI]). The infection rate was calculated only for the collection period during the rainy season for both sites (Nicaragua: September–December; Ecuador: February–July 2022). To account for pool size variability, we used the Firth estimator per 1,000 females (Hepworth and Biggerstaff 2017) using the R package PooledInfRate v1.5 (Biggerstaff 2024). The differences in collection procedures allowed us to compare results within each country but not between countries. To evaluate the differences in positivity rates between sites in each country, we employed Fisher’s exact test to account for the low number of positive mosquito infections in each community.
Results
Adult Collections
In total, we collected 12,162 (Nicaragua: 3,996 [household: 943, key site: 3,053]; Ecuador: 8,154) adult Ae. aegypti specimens, of which 6,244 were females (Nicaragua: 1,878; Ecuador: 4,366) with 2,200 blood-fed females (Nicaragua: 94; Ecuador: 2,106) (Table 1). During the rainy season period, a total of 2,624 female Ae. aegypti were collected (Nicaragua: 1823; Ecuador: 801). In Nicaragua, indoor collections averaged 0.29 (SD = 1.2) female Ae. aegypti per household, while in Ecuador we obtained a higher average of 1.47 (SD = 0.97) female Ae. aegypti per household. Outdoor collections in Nicaragua showed the lowest value, with an average of 0.13 (SD = 0.71) female Ae. aegypti per household. Key site surveillance in Nicaragua was particularly productive, with 1,450 female Ae. aegypti mosquitoes, representing 75% of all female collections in Nicaragua during this season. Notably, in the cemetery of District 2, where 794 tombs were inspected, we collected over 40% (1,216) of all female Ae. aegypti in Nicaragua.
Table 1.
Female Aedes aegypti adult collection in Nicaragua and Ecuador
| Nicaragua | Ecuador | |
|---|---|---|
| Household1 | ||
| Indoor | 296 (0.3) | 4,366 (1.5) |
| Outdoor | 132 (0.1) | – |
| Key sites | ||
| Indoor | 132 | – |
| Outdoor | 1318 | – |
| Total females | 1,878 | 4,366 |
| Un-engorged | 1,784 | 2,260 |
| Blood-fed | 94 | 2,106 |
| Infection rate2 | ||
| Urban3 | 1.31 (95% CI = 0.2–4.3) | |
| Urban–Rural4 | 3.43 (95% CI = 0.2–16.4) | 7.38 (95% CI = 2.8–16.3) |
| Rural5 | 9.06 (95% CI = 0.5–45.1)6 23.13 (95% CI = 1.4–115.9)7 |
1Average female per household in ().
2Data calculated only for the rainy season collection period of 2022 (Nicaragua: September–December; Ecuador: February–July).
3Urban: Nicaragua (District 2).
4Urban–Rural: Nicaragua (District 3)—Ecuador (Borbón).
5Rural: Ecuador (
6Maldonado;
7Timbire).
Mosquito-based Arbovirus Surveillance
A total of 1,358 pools (Nicaragua: 871; Ecuador: 487) were tested during the entire study period. Mosquito positivity was only observed during the rainy season (DENV transmission season), with 10 positive pools for arboviruses (all DENV) across sites and the earliest detection 2 months after the start of the rainy season. In Nicaragua, during the rainy season we processed 824 pools (1,809 females) with 3 DENV-positive pools. Two positive pools were found in District 2: one was collected in a household (DENV-1) and the other in a key site (cemetery, DENV serotype not identified) (Fig. 1B). A single positive female was identified in District 3 with a co-infection of DENV-1 and DENV-4, collected in a household (Fig. 1C). It is worth noting that all positive mosquitoes were visibly non-engorged “non-fed” females. In Ecuador, during the 2022 rainy season, we processed 64 pools (1,072 females; 576 blood-fed) with 7 DENV-positive pools all of which were DENV-2. Five positive pools were found in the community of Borbón (Fig. 1D), 1 in Timbiré (Fig. 1E), and 1 in Maldonado (Fig. 1F). The serotypes found in mosquitoes in both countries matched those reported during the same period in human infections. However, households where positive mosquito pools were detected did not report members with dengue-like symptoms at the time of mosquito collection.
No statistically significant differences between infection rates within countries were observed. Mosquito infection rates in Nicaragua were P = 3.43 (95% CI, 0.2–16.4) in District 3 and P = 1.31 (95% CI, 0.2–4.3) in District 2. In Ecuador, infectious rates were P = 7.38 (95% CI, 2.7–16.3) in Borbón, P = 9.05 (95% CI, 0.5–45.2) in Maldonado, and P = 23.13 (95% CI, 1.4–115.9) in Timbiré. These variations underscore the heterogeneity of arbovirus transmission dynamics observed in different regions within our study.
Discussion
Mosquito-based arbovirus surveillance is viewed as a tool that can help guide vector control programs to prevent virus outbreaks (Leandro et al. 2022). Nevertheless, in resource-limited settings, its implementation can impose a significant operational burden if not applied appropriately. We conducted a thorough evaluation of mosquito-based arbovirus surveillance within 2 distinct geographical settings in Latin America with varying degrees of urbanization and accessibility. Our results show that mosquito-based arbovirus surveillance employing random household sampling might not be a sustainable methodology for arbovirus detection transmission and suggest the need to re-evaluate mosquito-based arbovirus surveillance approaches to ensure the most effective use of resources in combatting arbovirus transmission.
Entomological surveillance efforts in over 2,800 households and over 100 key sites yielded only 10 positive pools using a random sampling approach. No tested pool showed positivity outside of the rainy season. Our findings highlight the importance of establishing a defined surveillance timeframe or targeted sampling approach in hotspots, in which active human dengue cases are identified, which others have shown increases mosquito positivity rates (Krokovsky et al. 2022). As such, implementing arbovirus testing in mosquitoes should be done using a more targeted approach that could be more cost-effective. However, sampling around hotspots of cases would no longer be predictive of emerging outbreaks. In addition, the use of mass pooling at the community level (Tang et al. 2020) and targeted sampling based on human movement patterns (Stoddard et al. 2009) or mosquito dispersal (Juarez et al. 2020) could improve mosquito-based surveillance tools. It has also been observed that even across close distances, viral loads in Ae. aegypti populations can vary widely and impact infection and vector competence rates (Godoy et al. 2021). The approaches, mentioned above, could not only reduce operational costs but also guide vector control activities over a broader area. A clear limitation of our study is that our entomological protocols were not identical, reducing the comparability between research sites. However, we show that despite applying 2 different approaches, we did not obtain better outcomes with a particular approach.
Importantly, if mosquito-based arbovirus surveillance is to be conducted, our results show that this procedure needs to be expanded beyond the household to other mosquito key sites where mosquitoes abound or where people congregate, in order to increase the odds of detecting infected specimens. The ability to address the challenging task of detecting infected Ae. aegypti mosquitoes, which can be influenced by numerous variables including low viral loads and assay limit of detection (Kirstein et al. 2021), requires novel cost-effective tools that allow for early viral detection on a fine scale. We hope that our results provide evidence to support the importance of targeted mosquito arbovirus sampling and testing. This underscores the critical need for medical entomologists in the region. Their expertise is essential for effective control and surveillance of vector-borne diseases. These findings can provide valuable insights for future surveillance programs in the Latin American region. By adopting a more strategic and efficient approach, such as hot spot area surveillance from previous years, it should be possible to enhance the capacity of vector control programs to detect and respond to arbovirus outbreaks, contributing to improved disease control and prevention efforts.
Supplementary Data
Supplementary data are available at Journal of Medical Entomology online.
Acknowledgments
We would like to thank all the members of our A2CARES study teams in Nicaragua and Ecuador who were involved in the collection of entomological samples and laboratory procedures. We thank the residents who allowed entomological collections in and around their homes.
Contributor Information
Jacqueline Mojica, Department of Entomology, Sustainable Sciences Institute, Managua, Nicaragua.
Valentina Arévalo, Centro de Investigación en Enfermedades Infecciosas y Vectoriales, Instituto Nacional de Investigación en Salud Pública, Quito, Ecuador.
Jose G Juarez, Department of Entomology, Sustainable Sciences Institute, Managua, Nicaragua.
Ximena Galarza, Centro de Investigación en Enfermedades Infecciosas y Vectoriales, Instituto Nacional de Investigación en Salud Pública, Quito, Ecuador.
Karla Gonzalez, Department of Entomology, Sustainable Sciences Institute, Managua, Nicaragua.
Andrés Carrazco, Centro de Investigación en Enfermedades Infecciosas y Vectoriales, Instituto Nacional de Investigación en Salud Pública, Quito, Ecuador.
Harold Suazo, Department of Entomology, Sustainable Sciences Institute, Managua, Nicaragua.
Eva Harris, Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
Josefina Coloma, Department of Entomology, Sustainable Sciences Institute, Managua, Nicaragua.
Patricio Ponce, Centro de Investigación en Enfermedades Infecciosas y Vectoriales, Instituto Nacional de Investigación en Salud Pública, Quito, Ecuador.
Angel Balmaseda, Department of Entomology, Sustainable Sciences Institute, Managua, Nicaragua.
Varsovia Cevallos, Centro de Investigación en Enfermedades Infecciosas y Vectoriales, Instituto Nacional de Investigación en Salud Pública, Quito, Ecuador.
Author contributions
Jacqueline Mojica (Data curation, Formal analysis [equal], Investigation, Methodology [lead], Writing—original draft [equal]), Valentina Arévalo-Granda (Investigation, Methodology [equal]), Jose Juarez Valdez (Conceptualization, Data curation [equal], Formal analysis [lead], Methodology [equal], Visualization, Writing—original draft [lead]), Ximena Andrea Galarza Juca (Data curation [lead], Formal analysis [equal], Investigation, Methodology, Visualization, Writing—original draft [equal]), Karla Gonzalez (Investigation, Methodology [equal]), Andrés Carrazco-Montalvo (Investigation, Methodology [equal]), Harold Suazo-Laguna (Conceptualization, Investigation [equal]), Eva Harris (Conceptualization, Funding acquisition, Methodology, Writing—review & editing [equal]), Josefina Coloma (Conceptualization, Funding acquisition, Methodology, Writing—review & editing [equal]), Patricio Ponce (Conceptualization, Data curation, Methodology, Supervision, Writing—review & editing [equal]), Angel Balmaseda (Conceptualization, Methodology, Supervision [equal]), and Varsovia Enid Cevallos Viteri (Conceptualization, Methodology, Supervision, Writing—review & editing [equal])
Ethics Statement
Protocols for the collection and testing of samples were reviewed and approved by the Institutional Review Boards (IRB) of the University of California, Berkeley (PDCS: 2010-09-2245; A2CARES: 2021-03-14191) and the Nicaraguan Ministry of Health (PDCS: CIRE 09/03/07/-008.Ver25; A2CARES: CIRE 02/08/21-114 Ver.4) and Universidad San Francisco de Quito (2017-0159M).
Funding
This study was funded by the National Institute of Allergy and Infectious Diseases of the National Institutes of Health, grant U01 AI151788 (E. H., J. C.), as part of the Centers for Research on Emerging Infectious Diseases (CREID) network.
Data Availability
See Supplemental Dataset and https://github.com/jgjuarez/Mojica_Entovirology/tree/mainforRcode.
References
- Biggerstaff B. PooledInfRate. V1.6; 2024. [accessed 2024 April 02]. https://rdrr.io/github/bjbiggerstaff/PooledInfRate/f/vignettes/PooledInfRate.Rmd [Google Scholar]
- Godoy RSM, Felix LS, Orfanó AS, et al. 2021. Dengue and Zika virus infection patterns vary among Aedes aegypti field populations from Belo Horizonte, a Brazilian endemic city. PLoS Negl. Trop. Dis. 15(11):e0009839. https://doi.org/ 10.1371/journal.pntd.0009839 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Grubaugh ND, Sharma S, Krajacich BJ, et al. 2015. Xenosurveillance: a novel mosquito-based approach for examining the human-pathogen landscape. PLoS Negl. Trop. Dis. 9(3):e0003628. https://doi.org/ 10.1371/journal.pntd.0003628 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hepworth G, Biggerstaff BJ.. 2017. Bias correction in estimating proportions by pooled testing. J. Agric. Biol. Environ. Stat. 22(4):602–614. https://doi.org/ 10.1007/s13253-017-0297-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- INIDE. 2021. Anuario Estadistico. Managua: Instituto Nacional de Informacion de Desarrollo. [Google Scholar]
- Juarez JG, Garcia-Luna S, Chaves LF, et al. 2020. Dispersal of female and male Aedes aegypti from discarded container habitats using a stable isotope mark-capture study design in South Texas. Sci. Rep. 10(1):6803. https://doi.org/ 10.1038/s41598-020-63670-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kirstein OD, Ayora-Talavera G, Koyoc-Cardeña E, et al. 2021. Natural arbovirus infection rate and detectability of indoor female Aedes aegypti from Mérida, Yucatán, Mexico. PLoS Negl. Trop. Dis. 15(1):1–23. https://doi.org/ 10.1371/journal.pntd.0008972 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Krokovsky L, Paiva MHS, Guedes DRD, et al. 2022. Arbovirus surveillance in field-collected mosquitoes from Pernambuco-Brazil, during the Triple Dengue, Zika and Chikungunya Outbreak of 2015-2017. Front. Trop. Dis 3. https://doi.org/ 10.3389/fitd.2022.875031 [DOI] [Google Scholar]
- Leandro AS, de Castro W.A.C., Lopes RD, et al. 2022. Citywide integrated Aedes aegypti mosquito surveillance as early warning system for arbovirus transmission, Brazil. Emerg. Infect. Dis. 28(4):701– 706. https://doi.org/ 10.3201/eid2804.211547 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Messina JP, Brady OJ, Golding N, et al. 2019. The current and future global distribution and population at risk of dengue. Nat. Microbiol. 4(9):1508–1515. https://doi.org/ 10.1038/s41564-019-0476-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- OpenStreetMap contributors. Planet OSM; 2023. [accessed 2023 Dec 16]. https://planet.osm.org/. [Google Scholar]
- Ramírez AL, van den Hurk AF, Meyer DB, et al. 2018. Searching for the proverbial needle in a haystack: advances in mosquito-borne arbovirus surveillance. Parasit. Vectors 11(1):320. https://doi.org/ 10.1186/s13071-018-2901-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- Santiago GA, Vergne E, Quiles Y, et al. 2013. Analytical and clinical performance of the CDC real time RT-PCR assay for detection and typing of dengue virus. PLoS Negl. Trop. Dis. 7(7):e2311. https://doi.org/ 10.1371/journal.pntd.0002311 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stoddard ST, Morrison AC, Vazquez-Prokopec GM, et al. 2009. The role of human movement in the transmission of vector-borne pathogens. PLoS Negl. Trop. Dis. 3(7):e481. https://doi.org/ 10.1371/journal.pntd.0000481 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tang Z, Yamada H, Kraupa C, et al. 2020. High sensitivity of one-step real-time reverse transcription quantitative PCR to detect low virus titers in large mosquito pools. Parasit. Vectors 13(1):460. https://doi.org/ 10.1186/s13071-020-04327-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Thorsen, S. Climate & Weather Averages; 2015. [accessed 2023 Aug 14]. https://www.timeanddate.com/weather/nicaragua/managua/climate. [Google Scholar]
- Waggoner JJ, Abeynayake J, Sahoo MK, et al. 2013. Single-reaction, multiplex, real-time RT-PCR for the detection, quantitation, and serotyping of dengue viruses. PLoS Negl. Trop. Dis. 7(4):e2116. https://doi.org/ 10.1371/journal.pntd.0002116 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Waggoner JJ, Gresh L, Mohamed-Hadley A, et al. 2016. Single-reaction multiplex reverse transcription PCR for detection of Zika, Chikungunya, and Dengue Viruses. Emerg. Infect. Dis. J 22(7):1295–1297. https://doi.org/ 10.3201/eid2207.160326 [DOI] [PMC free article] [PubMed] [Google Scholar]
- WHO. Dengue and severe dengue; 2023. [accessed 2023 Oct 11]. https://www.who.int/news-room/fact-sheets/detail/dengue-and-severe-dengue. [Google Scholar]
- Zambrano R. 2023. Plan de desarrollo y ordenamiento territorial 2019-2023. Managua: Esmeraldas Prefectura. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
See Supplemental Dataset and https://github.com/jgjuarez/Mojica_Entovirology/tree/mainforRcode.

