João Victor Oliveira Noleto1, Hevilem Letícia Moura do Nascimento Moraes2, Tamires De Moura Lima3, João Gustavo Mendes Rodrigues4, Diogo Tavares Cardoso5, Kalyl Chaves Lima6, Richardson Soares de Souza Melo7, Guilherme Silva Miranda8. 1. Federal Institute of Education, Science and Technology of Maranhão, Department of Education, São Raimundo das Mangabeiras, Brazil. joaooliveira3005@outlook.com. 2. Federal Institute of Education, Science and Technology of Maranhão, Department of Education, São Raimundo das Mangabeiras, Brazil. hevilemmoura@hotmail.com. 3. Federal Institute of Education, Science and Technology of Maranhão, Department of Education, São Raimundo das Mangabeiras, Brazil. tamiresmouralima2016@gmail.com. 4. Federal University of Minas Gerais, Departament of Parasitology, Institute of Biological Sciences, Belo Horizonte, Brazil. gustavorodrigues_98@hotmail.com. 5. Federal University of Minas Gerais, Departament of Parasitology, Institute of Biological Sciences, Belo Horizonte, Brazil. diogo_dtc2@yahoo.com.br. 6. Municipal Secretary of Health, São Raimundo das Mangabeiras, Brazil. kalyllima@hotmail.com. 7. Federal Institute of Education, Science and Technology of Maranhão, Department of Education, São Raimundo das Mangabeiras, Brazil. richardson.melo@ifma.edu.br. 8. Federal Institute of Education, Science and Technology of Maranhão, Department of Education, São Raimundo das Mangabeiras, Brazil. mirandagsbio@gmail.com.
Abstract
INTRODUCTION: Due to recent outbreaks of Dengue and Chikungunya and an absence of effective monitoring of the mosquito Aedes spp. in the municipality of São Raimundo das Mangabeiras, State of Maranhão, we aimed to demonstrate the potential of ovitraps used together with mathematical models and geotechnology to improve control of this mosquito. METHODOLOGY: From January to December of 2017, ovitraps were set up in five different neighborhoods (Centro, Vila Cardoso, Nazaré, São José e São Francisco). Positivity indices were calculated for each ovitraps, besides the egg density and average number of eggs. Some of the eggs were used for species identification. Mathematical models of correlation and logistic regression were used to evaluate the influence of abiotic factors on egg distribution during each month. Spatial analysis was carried out using georeferencing. RESULTS: A total of 4,453 eggs were counted, with A. aegypti and A. albopictus present in each month and neighborhood. The mathematical models show that rainfall can result in a significant increase in the number of eggs. Entomological calculation indicates that there is a high risk of dissemination of arboviruses in the area. Spatially, it was possible to indicate sites with the largest number of collected eggs, which may facilitate future interventions. CONCLUSIONS: As such, ovitraps have proven to be an effective and low cost method for the monitoring of Aedes spp., and that its use may help in arboviruses prevention campaigns. Copyright (c) 2020 Joao Victor Oliveira Noleto, Hevilem Leticia Moura do Nascimento Moraes, Tamires de Moura Lima, Joao Gustavo Mendes Rodrigues, Diogo Tavares Cardoso, Kalyl Chaves Lima, Richardson Soares de Souza Melo, Guilherme Silva Miranda.
INTRODUCTION: Due to recent outbreaks of Dengue and Chikungunya and an absence of effective monitoring of the mosquito Aedes spp. in the municipality of São Raimundo das Mangabeiras, State of Maranhão, we aimed to demonstrate the potential of ovitraps used together with mathematical models and geotechnology to improve control of this mosquito. METHODOLOGY: From January to December of 2017, ovitraps were set up in five different neighborhoods (Centro, Vila Cardoso, Nazaré, São José e São Francisco). Positivity indices were calculated for each ovitraps, besides the egg density and average number of eggs. Some of the eggs were used for species identification. Mathematical models of correlation and logistic regression were used to evaluate the influence of abiotic factors on egg distribution during each month. Spatial analysis was carried out using georeferencing. RESULTS: A total of 4,453 eggs were counted, with A. aegypti and A. albopictus present in each month and neighborhood. The mathematical models show that rainfall can result in a significant increase in the number of eggs. Entomological calculation indicates that there is a high risk of dissemination of arboviruses in the area. Spatially, it was possible to indicate sites with the largest number of collected eggs, which may facilitate future interventions. CONCLUSIONS: As such, ovitraps have proven to be an effective and low cost method for the monitoring of Aedes spp., and that its use may help in arboviruses prevention campaigns. Copyright (c) 2020 Joao Victor Oliveira Noleto, Hevilem Leticia Moura do Nascimento Moraes, Tamires de Moura Lima, Joao Gustavo Mendes Rodrigues, Diogo Tavares Cardoso, Kalyl Chaves Lima, Richardson Soares de Souza Melo, Guilherme Silva Miranda.
Authors: Ignacio Sanchez-Gendriz; Gustavo Fontoura de Souza; Ion G M de Andrade; Adrião Duarte Doria Neto; Alessandre de Medeiros Tavares; Daniele M S Barros; Antonio Higor Freire de Morais; Leonardo J Galvão-Lima; Ricardo Alexsandro de Medeiros Valentim Journal: Sci Rep Date: 2022-04-21 Impact factor: 4.996