Associations between dengue and combinations of weather factors in a city in the Brazilian Amazon Asociación entre el dengue y combinaciones de factores climáticos en una ciudad de la Amazonia brasileña
OBJECTIVES: Dengue has become the most important endemic disease in Brazil. The Amazonian state of Roraima has one of the highest incidence rates of dengue in the country. The objective of this study was to determine whether significant temporal relationships exist between the number of reported den...
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ftdoajarticles:oai:doaj.org/article:fe7c3b6a857342ecb6511abf1131b01c 2023-05-15T15:17:17+02:00 Associations between dengue and combinations of weather factors in a city in the Brazilian Amazon Asociación entre el dengue y combinaciones de factores climáticos en una ciudad de la Amazonia brasileña Maria Goreti Rosa-Freitas Kathleen V. Schreiber Pantelis Tsouris Ellem Tatiani de Souza Weimann José Francisco Luitgards-Moura 2006-10-01T00:00:00Z https://doaj.org/article/fe7c3b6a857342ecb6511abf1131b01c EN ES PT eng spa por Pan American Health Organization http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S1020-49892006000900006 https://doaj.org/toc/1020-4989 https://doaj.org/toc/1680-5348 1020-4989 1680-5348 https://doaj.org/article/fe7c3b6a857342ecb6511abf1131b01c Revista Panamericana de Salud Pública, Vol 20, Iss 4, Pp 256-267 (2006) Dengue brotes de enfermedades Aedes clima tiempo modelos biológicos predicción Brasil disease outbreaks climate weather models biological forecasting Brazil Medicine R Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2006 ftdoajarticles 2022-12-31T02:10:07Z OBJECTIVES: Dengue has become the most important endemic disease in Brazil. The Amazonian state of Roraima has one of the highest incidence rates of dengue in the country. The objective of this study was to determine whether significant temporal relationships exist between the number of reported dengue cases and short-term climate measures for the city of Boa Vista, the capital of Roraima. If such relationships exist, that suggests that it may be possible to predict dengue case numbers based on antecedent climate, thus helping develop a climate-based dengue early-warning system for Boa Vista. METHODS: Seasonal Pearson product-moment correlations were developed between 3-week running averages of daily numbers of reported dengue cases for September 1998-December 2001 and certain meteorological variables (thermal, hydroclimatic, wind, atmospheric pressure, and humidity) up to 25 weeks before. Two-sample t tests were also applied to test for statistically significant differences between samples of daily dengue cases with above-average values and samples with below-average values for three-variable meteorological combinations. These multivariate combinations consisted of the three climate measures that together explained the greatest portion of the variance in the number of dengue cases for the particular season. RESULTS: The strength of the individual averaged correlations varied from weak to moderate. The correlations differed according to the period of the year, the particular climatic variable, and the lag period between the climate indicator and the number of dengue cases. The seasonal correlations in our study showed far stronger relationships than had daily, full-year measures reported in previous studies. Two-sample t tests of multivariate meteorological combinations of atmospheric pressure, wind, and humidity values showed statistically significant differences in the number of reported dengue cases. CONCLUSIONS: Relationships between climate and dengue are best analyzed for short, relevant time periods. ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Boa ENVELOPE(15.532,15.532,66.822,66.822) |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English Spanish Portuguese |
topic |
Dengue brotes de enfermedades Aedes clima tiempo modelos biológicos predicción Brasil disease outbreaks climate weather models biological forecasting Brazil Medicine R Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
spellingShingle |
Dengue brotes de enfermedades Aedes clima tiempo modelos biológicos predicción Brasil disease outbreaks climate weather models biological forecasting Brazil Medicine R Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Maria Goreti Rosa-Freitas Kathleen V. Schreiber Pantelis Tsouris Ellem Tatiani de Souza Weimann José Francisco Luitgards-Moura Associations between dengue and combinations of weather factors in a city in the Brazilian Amazon Asociación entre el dengue y combinaciones de factores climáticos en una ciudad de la Amazonia brasileña |
topic_facet |
Dengue brotes de enfermedades Aedes clima tiempo modelos biológicos predicción Brasil disease outbreaks climate weather models biological forecasting Brazil Medicine R Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
OBJECTIVES: Dengue has become the most important endemic disease in Brazil. The Amazonian state of Roraima has one of the highest incidence rates of dengue in the country. The objective of this study was to determine whether significant temporal relationships exist between the number of reported dengue cases and short-term climate measures for the city of Boa Vista, the capital of Roraima. If such relationships exist, that suggests that it may be possible to predict dengue case numbers based on antecedent climate, thus helping develop a climate-based dengue early-warning system for Boa Vista. METHODS: Seasonal Pearson product-moment correlations were developed between 3-week running averages of daily numbers of reported dengue cases for September 1998-December 2001 and certain meteorological variables (thermal, hydroclimatic, wind, atmospheric pressure, and humidity) up to 25 weeks before. Two-sample t tests were also applied to test for statistically significant differences between samples of daily dengue cases with above-average values and samples with below-average values for three-variable meteorological combinations. These multivariate combinations consisted of the three climate measures that together explained the greatest portion of the variance in the number of dengue cases for the particular season. RESULTS: The strength of the individual averaged correlations varied from weak to moderate. The correlations differed according to the period of the year, the particular climatic variable, and the lag period between the climate indicator and the number of dengue cases. The seasonal correlations in our study showed far stronger relationships than had daily, full-year measures reported in previous studies. Two-sample t tests of multivariate meteorological combinations of atmospheric pressure, wind, and humidity values showed statistically significant differences in the number of reported dengue cases. CONCLUSIONS: Relationships between climate and dengue are best analyzed for short, relevant time periods. ... |
format |
Article in Journal/Newspaper |
author |
Maria Goreti Rosa-Freitas Kathleen V. Schreiber Pantelis Tsouris Ellem Tatiani de Souza Weimann José Francisco Luitgards-Moura |
author_facet |
Maria Goreti Rosa-Freitas Kathleen V. Schreiber Pantelis Tsouris Ellem Tatiani de Souza Weimann José Francisco Luitgards-Moura |
author_sort |
Maria Goreti Rosa-Freitas |
title |
Associations between dengue and combinations of weather factors in a city in the Brazilian Amazon Asociación entre el dengue y combinaciones de factores climáticos en una ciudad de la Amazonia brasileña |
title_short |
Associations between dengue and combinations of weather factors in a city in the Brazilian Amazon Asociación entre el dengue y combinaciones de factores climáticos en una ciudad de la Amazonia brasileña |
title_full |
Associations between dengue and combinations of weather factors in a city in the Brazilian Amazon Asociación entre el dengue y combinaciones de factores climáticos en una ciudad de la Amazonia brasileña |
title_fullStr |
Associations between dengue and combinations of weather factors in a city in the Brazilian Amazon Asociación entre el dengue y combinaciones de factores climáticos en una ciudad de la Amazonia brasileña |
title_full_unstemmed |
Associations between dengue and combinations of weather factors in a city in the Brazilian Amazon Asociación entre el dengue y combinaciones de factores climáticos en una ciudad de la Amazonia brasileña |
title_sort |
associations between dengue and combinations of weather factors in a city in the brazilian amazon asociación entre el dengue y combinaciones de factores climáticos en una ciudad de la amazonia brasileña |
publisher |
Pan American Health Organization |
publishDate |
2006 |
url |
https://doaj.org/article/fe7c3b6a857342ecb6511abf1131b01c |
long_lat |
ENVELOPE(15.532,15.532,66.822,66.822) |
geographic |
Arctic Boa |
geographic_facet |
Arctic Boa |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Revista Panamericana de Salud Pública, Vol 20, Iss 4, Pp 256-267 (2006) |
op_relation |
http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S1020-49892006000900006 https://doaj.org/toc/1020-4989 https://doaj.org/toc/1680-5348 1020-4989 1680-5348 https://doaj.org/article/fe7c3b6a857342ecb6511abf1131b01c |
_version_ |
1766347538738184192 |