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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Main Authors: Maria Goreti Rosa-Freitas, Kathleen V. Schreiber, Pantelis Tsouris, Ellem Tatiani de Souza Weimann, José Francisco Luitgards-Moura
Format: Article in Journal/Newspaper
Language:English
Spanish
Portuguese
Published: Pan American Health Organization 2006
Subjects:
R
Boa
Online Access:https://doaj.org/article/fe7c3b6a857342ecb6511abf1131b01c
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spelling 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
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