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Factors determining dengue outbreak in Malaysia

A large scale study was conducted to elucidate the true relationship among entomological, epidemiological and environmental factors that contributed to dengue outbreak in Malaysia. Two large areas (Selayang and Bandar Baru Bangi) were selected in this study based on five consecutive years of high de...

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Autores principales: Ahmad, Rohani, Suzilah, Ismail, Wan Najdah, Wan Mohamad Ali, Topek, Omar, Mustafakamal, Ibrahim, Lee, Han Lim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5825112/
https://www.ncbi.nlm.nih.gov/pubmed/29474401
http://dx.doi.org/10.1371/journal.pone.0193326
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author Ahmad, Rohani
Suzilah, Ismail
Wan Najdah, Wan Mohamad Ali
Topek, Omar
Mustafakamal, Ibrahim
Lee, Han Lim
author_facet Ahmad, Rohani
Suzilah, Ismail
Wan Najdah, Wan Mohamad Ali
Topek, Omar
Mustafakamal, Ibrahim
Lee, Han Lim
author_sort Ahmad, Rohani
collection PubMed
description A large scale study was conducted to elucidate the true relationship among entomological, epidemiological and environmental factors that contributed to dengue outbreak in Malaysia. Two large areas (Selayang and Bandar Baru Bangi) were selected in this study based on five consecutive years of high dengue cases. Entomological data were collected using ovitraps where the number of larvae was used to reflect Aedes mosquito population size; followed by RT-PCR screening to detect and serotype dengue virus in mosquitoes. Notified cases, date of disease onset, and number and type of the interventions were used as epidemiological endpoint, while rainfall, temperature, relative humidity and air pollution index (API) were indicators for environmental data. The field study was conducted during 81 weeks of data collection. Correlation and Autoregressive Distributed Lag Model were used to determine the relationship. The study showed that, notified cases were indirectly related with the environmental data, but shifted one week, i.e. last 3 weeks positive PCR; last 4 weeks rainfall; last 3 weeks maximum relative humidity; last 3 weeks minimum and maximum temperature; and last 4 weeks air pollution index (API), respectively. Notified cases were also related with next week intervention, while conventional intervention only happened 4 weeks after larvae were found, indicating ample time for dengue transmission. Based on a significant relationship among the three factors (epidemiological, entomological and environmental), estimated Autoregressive Distributed Lag (ADL) model for both locations produced high accuracy 84.9% for Selayang and 84.1% for Bandar Baru Bangi in predicting the actual notified cases. Hence, such model can be used in forestalling dengue outbreak and acts as an early warning system. The existence of relationships among the entomological, epidemiological and environmental factors can be used to build an early warning system for the prediction of dengue outbreak so that preventive interventions can be taken early to avert the outbreaks.
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spelling pubmed-58251122018-03-19 Factors determining dengue outbreak in Malaysia Ahmad, Rohani Suzilah, Ismail Wan Najdah, Wan Mohamad Ali Topek, Omar Mustafakamal, Ibrahim Lee, Han Lim PLoS One Research Article A large scale study was conducted to elucidate the true relationship among entomological, epidemiological and environmental factors that contributed to dengue outbreak in Malaysia. Two large areas (Selayang and Bandar Baru Bangi) were selected in this study based on five consecutive years of high dengue cases. Entomological data were collected using ovitraps where the number of larvae was used to reflect Aedes mosquito population size; followed by RT-PCR screening to detect and serotype dengue virus in mosquitoes. Notified cases, date of disease onset, and number and type of the interventions were used as epidemiological endpoint, while rainfall, temperature, relative humidity and air pollution index (API) were indicators for environmental data. The field study was conducted during 81 weeks of data collection. Correlation and Autoregressive Distributed Lag Model were used to determine the relationship. The study showed that, notified cases were indirectly related with the environmental data, but shifted one week, i.e. last 3 weeks positive PCR; last 4 weeks rainfall; last 3 weeks maximum relative humidity; last 3 weeks minimum and maximum temperature; and last 4 weeks air pollution index (API), respectively. Notified cases were also related with next week intervention, while conventional intervention only happened 4 weeks after larvae were found, indicating ample time for dengue transmission. Based on a significant relationship among the three factors (epidemiological, entomological and environmental), estimated Autoregressive Distributed Lag (ADL) model for both locations produced high accuracy 84.9% for Selayang and 84.1% for Bandar Baru Bangi in predicting the actual notified cases. Hence, such model can be used in forestalling dengue outbreak and acts as an early warning system. The existence of relationships among the entomological, epidemiological and environmental factors can be used to build an early warning system for the prediction of dengue outbreak so that preventive interventions can be taken early to avert the outbreaks. Public Library of Science 2018-02-23 /pmc/articles/PMC5825112/ /pubmed/29474401 http://dx.doi.org/10.1371/journal.pone.0193326 Text en © 2018 Ahmad et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ahmad, Rohani
Suzilah, Ismail
Wan Najdah, Wan Mohamad Ali
Topek, Omar
Mustafakamal, Ibrahim
Lee, Han Lim
Factors determining dengue outbreak in Malaysia
title Factors determining dengue outbreak in Malaysia
title_full Factors determining dengue outbreak in Malaysia
title_fullStr Factors determining dengue outbreak in Malaysia
title_full_unstemmed Factors determining dengue outbreak in Malaysia
title_short Factors determining dengue outbreak in Malaysia
title_sort factors determining dengue outbreak in malaysia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5825112/
https://www.ncbi.nlm.nih.gov/pubmed/29474401
http://dx.doi.org/10.1371/journal.pone.0193326
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