Ovitrap surveillance of dengue vector mosquitoes in Bandung City, West Java Province, Indonesia
Larval surveillance is the central approach for monitoring dengue vector populations in Indonesia. However, traditional larval indices are ineffective for measuring mosquito population dynamics and predicting the dengue transmission risk. We conducted a 14-month ovitrap surveillance. Eggs and immatu...
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ftdoajarticles:oai:doaj.org/article:8cb650212fd54d789a54adb4431a377e 2023-05-15T15:15:16+02:00 Ovitrap surveillance of dengue vector mosquitoes in Bandung City, West Java Province, Indonesia Hadian Iman Sasmita Kok-Boon Neoh Sri Yusmalinar Tjandra Anggraeni Niann-Tai Chang Lee-Jin Bong Ramadhani Eka Putra Amelia Sebayang Christina Natalina Silalahi Intan Ahmad Wu-Chun Tu 2021-10-01T00:00:00Z https://doaj.org/article/8cb650212fd54d789a54adb4431a377e EN eng Public Library of Science (PLoS) https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577782/?tool=EBI https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 https://doaj.org/article/8cb650212fd54d789a54adb4431a377e PLoS Neglected Tropical Diseases, Vol 15, Iss 10 (2021) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2021 ftdoajarticles 2022-12-31T09:29:04Z Larval surveillance is the central approach for monitoring dengue vector populations in Indonesia. However, traditional larval indices are ineffective for measuring mosquito population dynamics and predicting the dengue transmission risk. We conducted a 14-month ovitrap surveillance. Eggs and immature mosquitoes were collected on a weekly basis from an urban village of Bandung, namely Sekejati. Ovitrap-related indices, namely positive house index (PHI), ovitrap index (OI), and ovitrap density index (ODI), were generated and correlated with environmental variables, housing type (terraced or high-density housing), ovitrap placement location (indoor or outdoor; household or public place), and local dengue cases. Our results demonstrated that Aedes aegypti was significantly predominant compared with Aedes albopictus at each housing type and ovitrap placement location. Ovitrap placement locations and rainfall were the major factors contributing to variations in PHI, OI, and ODI, whereas the influences of housing type and temperature were subtle. Indoor site values were significantly positively correlated to outdoor sites’ values for both OI and ODI. OI and ODI values from households were best predicted with those from public places at 1- and 0-week lags, respectively. Weekly rainfall values at 4- and 3-week lags were the best predictors of OI and ODI for households and public places, respectively. Monthly mean PHI, OI, and ODI were significantly associated with local dengue cases. In conclusion, ovitrap may be an effective tool for monitoring the population dynamics of Aedes mosquitoes, predicting dengue outbreaks, and serving as an early indicator to initiate environmental clean-up. Ovitrap surveillance is easy for surveyors if they are tasked with a certain number of ovitraps at a designated area, unlike the existing larval surveillance methodology, which entails identifying potential breeding sites largely at the surveyors’ discretion. Ovitrap surveillance may reduce the influence of individual effort in larval ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic |
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Directory of Open Access Journals: DOAJ Articles |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Hadian Iman Sasmita Kok-Boon Neoh Sri Yusmalinar Tjandra Anggraeni Niann-Tai Chang Lee-Jin Bong Ramadhani Eka Putra Amelia Sebayang Christina Natalina Silalahi Intan Ahmad Wu-Chun Tu Ovitrap surveillance of dengue vector mosquitoes in Bandung City, West Java Province, Indonesia |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
Larval surveillance is the central approach for monitoring dengue vector populations in Indonesia. However, traditional larval indices are ineffective for measuring mosquito population dynamics and predicting the dengue transmission risk. We conducted a 14-month ovitrap surveillance. Eggs and immature mosquitoes were collected on a weekly basis from an urban village of Bandung, namely Sekejati. Ovitrap-related indices, namely positive house index (PHI), ovitrap index (OI), and ovitrap density index (ODI), were generated and correlated with environmental variables, housing type (terraced or high-density housing), ovitrap placement location (indoor or outdoor; household or public place), and local dengue cases. Our results demonstrated that Aedes aegypti was significantly predominant compared with Aedes albopictus at each housing type and ovitrap placement location. Ovitrap placement locations and rainfall were the major factors contributing to variations in PHI, OI, and ODI, whereas the influences of housing type and temperature were subtle. Indoor site values were significantly positively correlated to outdoor sites’ values for both OI and ODI. OI and ODI values from households were best predicted with those from public places at 1- and 0-week lags, respectively. Weekly rainfall values at 4- and 3-week lags were the best predictors of OI and ODI for households and public places, respectively. Monthly mean PHI, OI, and ODI were significantly associated with local dengue cases. In conclusion, ovitrap may be an effective tool for monitoring the population dynamics of Aedes mosquitoes, predicting dengue outbreaks, and serving as an early indicator to initiate environmental clean-up. Ovitrap surveillance is easy for surveyors if they are tasked with a certain number of ovitraps at a designated area, unlike the existing larval surveillance methodology, which entails identifying potential breeding sites largely at the surveyors’ discretion. Ovitrap surveillance may reduce the influence of individual effort in larval ... |
format |
Article in Journal/Newspaper |
author |
Hadian Iman Sasmita Kok-Boon Neoh Sri Yusmalinar Tjandra Anggraeni Niann-Tai Chang Lee-Jin Bong Ramadhani Eka Putra Amelia Sebayang Christina Natalina Silalahi Intan Ahmad Wu-Chun Tu |
author_facet |
Hadian Iman Sasmita Kok-Boon Neoh Sri Yusmalinar Tjandra Anggraeni Niann-Tai Chang Lee-Jin Bong Ramadhani Eka Putra Amelia Sebayang Christina Natalina Silalahi Intan Ahmad Wu-Chun Tu |
author_sort |
Hadian Iman Sasmita |
title |
Ovitrap surveillance of dengue vector mosquitoes in Bandung City, West Java Province, Indonesia |
title_short |
Ovitrap surveillance of dengue vector mosquitoes in Bandung City, West Java Province, Indonesia |
title_full |
Ovitrap surveillance of dengue vector mosquitoes in Bandung City, West Java Province, Indonesia |
title_fullStr |
Ovitrap surveillance of dengue vector mosquitoes in Bandung City, West Java Province, Indonesia |
title_full_unstemmed |
Ovitrap surveillance of dengue vector mosquitoes in Bandung City, West Java Province, Indonesia |
title_sort |
ovitrap surveillance of dengue vector mosquitoes in bandung city, west java province, indonesia |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doaj.org/article/8cb650212fd54d789a54adb4431a377e |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
PLoS Neglected Tropical Diseases, Vol 15, Iss 10 (2021) |
op_relation |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577782/?tool=EBI https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 https://doaj.org/article/8cb650212fd54d789a54adb4431a377e |
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1766345641724739584 |