TY - JOUR
T1 - Characterization of larval habitats of Anopheles (Nyssorhynchus) darlingi and associated species in malaria areas in western Brazilian Amazon
AU - Dos Santos, Fátima
AU - Xu, Mingrui
AU - de Guenni, Lelys Bravo
AU - Lourenço-De-oliveira, Ricardo
AU - Rubio-Palis, Yasmin
N1 - Financial support: Field and lab activities were supported by Minist\u00E9rio da Sa\u00FAde, Brasilia, Brazil.
Field and lab activities were supported by Minist\u00E9rio da Sa\u00FAde, Brasilia, Brazil.We are most grateful to Alda Eunice F.L da Cunha, Aldeir de Oliveira, Maia Marisa Ferreira Barroso and Osvaldo Lopes da Silva who participated in field studies. To Raquel Telles Moreira Sampaio from INPA/BR for their assistance in the identification of aquatic insects. Maria Eugenia Grillet (UCV/Venezuela) assisted in the dbRDA analysis. Alexandro Machado de Freitas elaborated the map. Special thanks to Jarbas Barbosa da Silva Jr and Fabiano Pimenta, who were instrumental in financial support from the Ministry of Health. We are grateful to Don Roberts for correcting the English language.
PY - 2024
Y1 - 2024
N2 - BACKGROUND Anopheles darlingi is the most efficient vector of malaria parasites in the Neotropics. Nevertheless, the specificities of its larval habitats are still poorly known. OBJECTIVES Characterize permanent larval habitats, and population dynamics of An. darlingi and other potential vectors in relation to climate, physicochemical variables, insect fauna and malaria cases. METHODS A 14-month longitudinal study was conducted in Porto Velho, Rondônia, western Brazilian Amazon. Monthly, 21 permanent water bodies were sampled. Immature anophelines and associated fauna were collected, physicochemical characteristics, and climate variables were recorded and analyzed. FINDINGS Five types of habitats were identified: lagoon, stream, stream combined with lagoon, stream combined with dam, and fishpond. A total of 60,927 anophelines were collected. The most abundant species in all habitats were Anopheles braziliensis and An. darlingi. The highest density was found in the lagoon, while streams had the highest species richness. Abundance was higher during the transition period wet-dry season. There was a lag, respectively of four and five months between the peak of rainfall and the Madeira River level and the highest abundance of An. darlingi larvae, which were positively correlated with habitats partially shaded, pH close to neutrality, increase dissolved oxygen and sulphates. MAIN CONCLUSIONS The present study provides data on key factors defining permanent larval habitats for the surveillance of An. darlingi and other potential vectors as well as a log-linear Negative Binomial model based on immature mosquito abundance and climate variables to predict the increase in the number of malaria cases.
AB - BACKGROUND Anopheles darlingi is the most efficient vector of malaria parasites in the Neotropics. Nevertheless, the specificities of its larval habitats are still poorly known. OBJECTIVES Characterize permanent larval habitats, and population dynamics of An. darlingi and other potential vectors in relation to climate, physicochemical variables, insect fauna and malaria cases. METHODS A 14-month longitudinal study was conducted in Porto Velho, Rondônia, western Brazilian Amazon. Monthly, 21 permanent water bodies were sampled. Immature anophelines and associated fauna were collected, physicochemical characteristics, and climate variables were recorded and analyzed. FINDINGS Five types of habitats were identified: lagoon, stream, stream combined with lagoon, stream combined with dam, and fishpond. A total of 60,927 anophelines were collected. The most abundant species in all habitats were Anopheles braziliensis and An. darlingi. The highest density was found in the lagoon, while streams had the highest species richness. Abundance was higher during the transition period wet-dry season. There was a lag, respectively of four and five months between the peak of rainfall and the Madeira River level and the highest abundance of An. darlingi larvae, which were positively correlated with habitats partially shaded, pH close to neutrality, increase dissolved oxygen and sulphates. MAIN CONCLUSIONS The present study provides data on key factors defining permanent larval habitats for the surveillance of An. darlingi and other potential vectors as well as a log-linear Negative Binomial model based on immature mosquito abundance and climate variables to predict the increase in the number of malaria cases.
KW - Anopheles spp
KW - climate-principal components-Poisson log-linear model-Negative Binomial log-linear model-malaria
UR - https://www.scopus.com/pages/publications/85204083096
UR - https://www.scopus.com/pages/publications/85204083096#tab=citedBy
U2 - 10.1590/0074-02760240116
DO - 10.1590/0074-02760240116
M3 - Article
C2 - 39383404
AN - SCOPUS:85204083096
SN - 0074-0276
VL - 119
JO - Memorias do Instituto Oswaldo Cruz
JF - Memorias do Instituto Oswaldo Cruz
ER -