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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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Autores principales: Sasmita, Hadian Iman, Neoh, Kok-Boon, Yusmalinar, Sri, Anggraeni, Tjandra, Chang, Niann-Tai, Bong, Lee-Jin, Putra, Ramadhani Eka, Sebayang, Amelia, Silalahi, Christina Natalina, Ahmad, Intan, Tu, Wu-Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577782/
https://www.ncbi.nlm.nih.gov/pubmed/34710083
http://dx.doi.org/10.1371/journal.pntd.0009896
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author Sasmita, Hadian Iman
Neoh, Kok-Boon
Yusmalinar, Sri
Anggraeni, Tjandra
Chang, Niann-Tai
Bong, Lee-Jin
Putra, Ramadhani Eka
Sebayang, Amelia
Silalahi, Christina Natalina
Ahmad, Intan
Tu, Wu-Chun
author_facet Sasmita, Hadian Iman
Neoh, Kok-Boon
Yusmalinar, Sri
Anggraeni, Tjandra
Chang, Niann-Tai
Bong, Lee-Jin
Putra, Ramadhani Eka
Sebayang, Amelia
Silalahi, Christina Natalina
Ahmad, Intan
Tu, Wu-Chun
author_sort Sasmita, Hadian Iman
collection PubMed
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 surveillance that likely causes inconsistency in results.
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spelling pubmed-85777822021-11-10 Ovitrap surveillance of dengue vector mosquitoes in Bandung City, West Java Province, Indonesia Sasmita, Hadian Iman Neoh, Kok-Boon Yusmalinar, Sri Anggraeni, Tjandra Chang, Niann-Tai Bong, Lee-Jin Putra, Ramadhani Eka Sebayang, Amelia Silalahi, Christina Natalina Ahmad, Intan Tu, Wu-Chun PLoS Negl Trop Dis Research Article 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 surveillance that likely causes inconsistency in results. Public Library of Science 2021-10-28 /pmc/articles/PMC8577782/ /pubmed/34710083 http://dx.doi.org/10.1371/journal.pntd.0009896 Text en © 2021 Sasmita et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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
Sasmita, Hadian Iman
Neoh, Kok-Boon
Yusmalinar, Sri
Anggraeni, Tjandra
Chang, Niann-Tai
Bong, Lee-Jin
Putra, Ramadhani Eka
Sebayang, Amelia
Silalahi, Christina Natalina
Ahmad, Intan
Tu, Wu-Chun
Ovitrap surveillance of dengue vector mosquitoes in Bandung City, West Java Province, Indonesia
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577782/
https://www.ncbi.nlm.nih.gov/pubmed/34710083
http://dx.doi.org/10.1371/journal.pntd.0009896
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