Aedes aegypti oviposition dynamics in towns with low human population density in yungas and dry chaco, Salta, Argentina

被引:0
|
作者
Chanampa, Mariana M. [1 ]
Aparicio, Juan Pablo [1 ]
Hodi, Soledad [2 ]
Derlindati, Enrique [2 ]
Rodriguez, Nicolas [2 ]
Larsen, Roxana Alejandra Garcia [3 ]
Gleiser, Raquel M. [4 ,5 ]
机构
[1] Univ Nacl Salta UNSa, Fac Ciencias Nat, Catedra Epistemol & Metodol Ciencia, Ave Bolivia 5051, RA-4400 Salta, Argentina
[2] Univ Nacl Salta UNSa, Fac Ciencias Nat, Av Bolivia 5051, RA-4400 Salta, Argentina
[3] Hosp Nuestra Senora Rosario, 12 Octubre & Gen Paz Cafayate, RA-4427 Salta, Argentina
[4] Univ Nacl Cordoba UNC, Fac Ciencias Exactas Fis & Nat, Av Velez Sarsfield 299, RA-5000 Cordoba, Argentina
[5] Inst Multidisciplinario Biol Vegetal IMBIV UNC CON, Ctr Relevamiento & Evaluac Recursos Agr CREAN & Na, Av Valparaiso, RA-5016 Cordoba, Argentina
关键词
Mosquitoes ecology; Vector surveillance; Oviposition activity; Urban environment; Northwestern Argentina; DIPTERA; CULICIDAE; TEMPERATURE; ADAPTATION; HUMIDITY;
D O I
10.1016/j.actatropica.2024.107150
中图分类号
R38 [医学寄生虫学]; Q [生物科学];
学科分类号
07 ; 0710 ; 09 ; 100103 ;
摘要
We assessed the presence of Aedes aegypti in five ecorregions of Salta province and compared the oviposition activity of Ae. aegypti using ovitraps in towns of two contrasting ecoregions (yungas and Chaco dry forests) in the province of Salta, Argentina, a major contrast in these ecoregions are rain patterns and altitude. Our aim was to estimate how oviposition activities were associated with the ecoregion and site scale local environmental variables. Mosquito oviposition activity was monitored weekly during the summer using ovitraps. Predictor variables were ecoregion, town, and meteorological variables. The effect of the predictor variables was measured on the response variables using multi-model inference. Besides yungas, the presence of Aedes aegypti was confirmed in towns of dry Chaco and High Monte. The only factor that had a significant effect on the presence of eggs in the ovitraps was the ecoregion, with the frequency of positives being higher in yungas. For the number of eggs, the ecoregion, the night temperature of the first week and the NDVI would explain said variable. Overall, results indicate that the variations between towns would be more related with their ecological and climatic characteristics than with the more immediate meteorological variations.
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页数:7
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