Climatic variables associated with dengue incidence in a city of the Western Brazilian Amazon region
Abstract INTRODUCTION: This study aimed to examine the impact of climate variability on the incidence of dengue fever in the city of Rio Branco, Brazil. METHODS: The association between the monthly incidence of dengue fever and climate variables such as precipitation, temperature, humidity, and the...
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ftdoajarticles:oai:doaj.org/article:b50948e13db94eb89ed8faac3bc56d97 2023-05-15T15:09:33+02:00 Climatic variables associated with dengue incidence in a city of the Western Brazilian Amazon region Juliana Lúcia Duarte Fredi Alexander Diaz-Quijano Antônio Carlos Batista Leandro Luiz Giatti 2019-02-01T00:00:00Z https://doi.org/10.1590/0037-8682-0429-2018 https://doaj.org/article/b50948e13db94eb89ed8faac3bc56d97 EN eng Sociedade Brasileira de Medicina Tropical (SBMT) http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822019000100307&lng=en&tlng=en https://doaj.org/toc/1678-9849 1678-9849 doi:10.1590/0037-8682-0429-2018 https://doaj.org/article/b50948e13db94eb89ed8faac3bc56d97 Revista da Sociedade Brasileira de Medicina Tropical, Vol 52, Iss 0 (2019) Dengue Climate Climate change Amazonian ecosystem Brazil Arctic medicine. Tropical medicine RC955-962 article 2019 ftdoajarticles https://doi.org/10.1590/0037-8682-0429-2018 2022-12-30T21:39:06Z Abstract INTRODUCTION: This study aimed to examine the impact of climate variability on the incidence of dengue fever in the city of Rio Branco, Brazil. METHODS: The association between the monthly incidence of dengue fever and climate variables such as precipitation, temperature, humidity, and the Acre River level was evaluated, using generalized autoregressive moving average models with negative binomial distribution. Multiple no-lag, 1-month lag, and 2-month lag models were tested. RESULTS: The no-lag model showed that the incidence of dengue fever was associated with the monthly averages of the Acre River level (incidence rate ratio [IRR]: 1.09; 95% confidence interval [CI]: 1.02-1.17), compensated temperature (IRR: 1.54; 95% CI: 1.22-1.95), and maximum temperature (IRR: 0.68; 95% CI: 0.58-0.81). The 1-month lag model showed that the incidence of dengue fever was predicted by the monthly averages of total precipitation (IRR: 1.21; 95% CI: 1.06-1.39), minimum temperature (IRR: 1.54; 95% CI: 1.24-1.91), compensated relative humidity (IRR: 0.90; 95% CI: 0.82-0.99), and maximum temperature (IRR: 0.76; 95% CI: 0.59-0.97). The 2-month lag model showed that the incidence of dengue fever was predicted by the number of days with precipitation (IRR: 1.03; 95% CI: 1.00-1.06) and maximum temperature (IRR: 1.23; 95% CI: 1.05-1.44). CONCLUSIONS: Considering the impact of global climate change on the region, these findings can help to predict trends in dengue fever incidence. Article in Journal/Newspaper Arctic Climate change Directory of Open Access Journals: DOAJ Articles Arctic Rio Branco ENVELOPE(-64.016,-64.016,-65.416,-65.416) Revista da Sociedade Brasileira de Medicina Tropical 52 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Dengue Climate Climate change Amazonian ecosystem Brazil Arctic medicine. Tropical medicine RC955-962 |
spellingShingle |
Dengue Climate Climate change Amazonian ecosystem Brazil Arctic medicine. Tropical medicine RC955-962 Juliana Lúcia Duarte Fredi Alexander Diaz-Quijano Antônio Carlos Batista Leandro Luiz Giatti Climatic variables associated with dengue incidence in a city of the Western Brazilian Amazon region |
topic_facet |
Dengue Climate Climate change Amazonian ecosystem Brazil Arctic medicine. Tropical medicine RC955-962 |
description |
Abstract INTRODUCTION: This study aimed to examine the impact of climate variability on the incidence of dengue fever in the city of Rio Branco, Brazil. METHODS: The association between the monthly incidence of dengue fever and climate variables such as precipitation, temperature, humidity, and the Acre River level was evaluated, using generalized autoregressive moving average models with negative binomial distribution. Multiple no-lag, 1-month lag, and 2-month lag models were tested. RESULTS: The no-lag model showed that the incidence of dengue fever was associated with the monthly averages of the Acre River level (incidence rate ratio [IRR]: 1.09; 95% confidence interval [CI]: 1.02-1.17), compensated temperature (IRR: 1.54; 95% CI: 1.22-1.95), and maximum temperature (IRR: 0.68; 95% CI: 0.58-0.81). The 1-month lag model showed that the incidence of dengue fever was predicted by the monthly averages of total precipitation (IRR: 1.21; 95% CI: 1.06-1.39), minimum temperature (IRR: 1.54; 95% CI: 1.24-1.91), compensated relative humidity (IRR: 0.90; 95% CI: 0.82-0.99), and maximum temperature (IRR: 0.76; 95% CI: 0.59-0.97). The 2-month lag model showed that the incidence of dengue fever was predicted by the number of days with precipitation (IRR: 1.03; 95% CI: 1.00-1.06) and maximum temperature (IRR: 1.23; 95% CI: 1.05-1.44). CONCLUSIONS: Considering the impact of global climate change on the region, these findings can help to predict trends in dengue fever incidence. |
format |
Article in Journal/Newspaper |
author |
Juliana Lúcia Duarte Fredi Alexander Diaz-Quijano Antônio Carlos Batista Leandro Luiz Giatti |
author_facet |
Juliana Lúcia Duarte Fredi Alexander Diaz-Quijano Antônio Carlos Batista Leandro Luiz Giatti |
author_sort |
Juliana Lúcia Duarte |
title |
Climatic variables associated with dengue incidence in a city of the Western Brazilian Amazon region |
title_short |
Climatic variables associated with dengue incidence in a city of the Western Brazilian Amazon region |
title_full |
Climatic variables associated with dengue incidence in a city of the Western Brazilian Amazon region |
title_fullStr |
Climatic variables associated with dengue incidence in a city of the Western Brazilian Amazon region |
title_full_unstemmed |
Climatic variables associated with dengue incidence in a city of the Western Brazilian Amazon region |
title_sort |
climatic variables associated with dengue incidence in a city of the western brazilian amazon region |
publisher |
Sociedade Brasileira de Medicina Tropical (SBMT) |
publishDate |
2019 |
url |
https://doi.org/10.1590/0037-8682-0429-2018 https://doaj.org/article/b50948e13db94eb89ed8faac3bc56d97 |
long_lat |
ENVELOPE(-64.016,-64.016,-65.416,-65.416) |
geographic |
Arctic Rio Branco |
geographic_facet |
Arctic Rio Branco |
genre |
Arctic Climate change |
genre_facet |
Arctic Climate change |
op_source |
Revista da Sociedade Brasileira de Medicina Tropical, Vol 52, Iss 0 (2019) |
op_relation |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822019000100307&lng=en&tlng=en https://doaj.org/toc/1678-9849 1678-9849 doi:10.1590/0037-8682-0429-2018 https://doaj.org/article/b50948e13db94eb89ed8faac3bc56d97 |
op_doi |
https://doi.org/10.1590/0037-8682-0429-2018 |
container_title |
Revista da Sociedade Brasileira de Medicina Tropical |
container_volume |
52 |
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