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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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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. |
format | Online Article Text |
id | pubmed-5825112 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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