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The influence of meteorological variables on the oviposition dynamics of Aedes aegypti (Diptera: Culicidae) in four environmentally distinct areas in northeast Brazil
BACKGROUND: Fluctuations in climate have been associated with variations in mosquito abundance. OBJECTIVES: To analyse the influence of precipitation, temperature, solar radiation, wind speed and humidity on the oviposition dynamics of Aedes aegypti in three distinct environmental areas (Brasília Te...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Instituto Oswaldo Cruz, Ministério da Saúde
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7350774/ https://www.ncbi.nlm.nih.gov/pubmed/32667460 http://dx.doi.org/10.1590/0074-02760200046 |
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author | Santos, Isabella Cristina da Silva Braga, Cynthia de Souza, Wayner Vieira de Oliveira, André Luiz Sá Regis, Lêda Narcisa |
author_facet | Santos, Isabella Cristina da Silva Braga, Cynthia de Souza, Wayner Vieira de Oliveira, André Luiz Sá Regis, Lêda Narcisa |
author_sort | Santos, Isabella Cristina da Silva |
collection | PubMed |
description | BACKGROUND: Fluctuations in climate have been associated with variations in mosquito abundance. OBJECTIVES: To analyse the influence of precipitation, temperature, solar radiation, wind speed and humidity on the oviposition dynamics of Aedes aegypti in three distinct environmental areas (Brasília Teimosa, Morro da Conceição/Alto José do Pinho and Dois Irmãos/Pintos) of the city of Recife and the Fernando de Noronha Archipelago northeastern Brazil. METHODS: Time series study using a database of studies previously carried out in the areas. The eggs were collected using spatially distributed geo-referenced sentinel ovitraps (S-OVTs). Meteorological satellite data were obtained from the IRI climate data library. The association between meteorological variables and egg abundance was analysed using autoregressive models. FINDINGS: Precipitation was positively associated with egg abundance in three of the four study areas with a lag of one month. Higher humidity (β = 45.7; 95% CI: 26.3 - 65.0) and lower wind speed (β = −125.2; 95% CI: −198.8 - −51.6) were associated with the average number of eggs in the hill area. MAIN CONCLUSIONS: The effect of climate variables on oviposition varied according to local environmental conditions. Precipitation was a main predictor of egg abundance in the study settings. |
format | Online Article Text |
id | pubmed-7350774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Instituto Oswaldo Cruz, Ministério da Saúde |
record_format | MEDLINE/PubMed |
spelling | pubmed-73507742020-07-20 The influence of meteorological variables on the oviposition dynamics of Aedes aegypti (Diptera: Culicidae) in four environmentally distinct areas in northeast Brazil Santos, Isabella Cristina da Silva Braga, Cynthia de Souza, Wayner Vieira de Oliveira, André Luiz Sá Regis, Lêda Narcisa Mem Inst Oswaldo Cruz Original Article BACKGROUND: Fluctuations in climate have been associated with variations in mosquito abundance. OBJECTIVES: To analyse the influence of precipitation, temperature, solar radiation, wind speed and humidity on the oviposition dynamics of Aedes aegypti in three distinct environmental areas (Brasília Teimosa, Morro da Conceição/Alto José do Pinho and Dois Irmãos/Pintos) of the city of Recife and the Fernando de Noronha Archipelago northeastern Brazil. METHODS: Time series study using a database of studies previously carried out in the areas. The eggs were collected using spatially distributed geo-referenced sentinel ovitraps (S-OVTs). Meteorological satellite data were obtained from the IRI climate data library. The association between meteorological variables and egg abundance was analysed using autoregressive models. FINDINGS: Precipitation was positively associated with egg abundance in three of the four study areas with a lag of one month. Higher humidity (β = 45.7; 95% CI: 26.3 - 65.0) and lower wind speed (β = −125.2; 95% CI: −198.8 - −51.6) were associated with the average number of eggs in the hill area. MAIN CONCLUSIONS: The effect of climate variables on oviposition varied according to local environmental conditions. Precipitation was a main predictor of egg abundance in the study settings. Instituto Oswaldo Cruz, Ministério da Saúde 2020-07-10 /pmc/articles/PMC7350774/ /pubmed/32667460 http://dx.doi.org/10.1590/0074-02760200046 Text en https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License |
spellingShingle | Original Article Santos, Isabella Cristina da Silva Braga, Cynthia de Souza, Wayner Vieira de Oliveira, André Luiz Sá Regis, Lêda Narcisa The influence of meteorological variables on the oviposition dynamics of Aedes aegypti (Diptera: Culicidae) in four environmentally distinct areas in northeast Brazil |
title | The influence of meteorological variables on the oviposition dynamics of Aedes aegypti (Diptera: Culicidae) in four environmentally distinct areas in northeast Brazil |
title_full | The influence of meteorological variables on the oviposition dynamics of Aedes aegypti (Diptera: Culicidae) in four environmentally distinct areas in northeast Brazil |
title_fullStr | The influence of meteorological variables on the oviposition dynamics of Aedes aegypti (Diptera: Culicidae) in four environmentally distinct areas in northeast Brazil |
title_full_unstemmed | The influence of meteorological variables on the oviposition dynamics of Aedes aegypti (Diptera: Culicidae) in four environmentally distinct areas in northeast Brazil |
title_short | The influence of meteorological variables on the oviposition dynamics of Aedes aegypti (Diptera: Culicidae) in four environmentally distinct areas in northeast Brazil |
title_sort | influence of meteorological variables on the oviposition dynamics of aedes aegypti (diptera: culicidae) in four environmentally distinct areas in northeast brazil |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7350774/ https://www.ncbi.nlm.nih.gov/pubmed/32667460 http://dx.doi.org/10.1590/0074-02760200046 |
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