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:	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
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/8cb650212fd54d789a54adb4431a377e
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id	oai:doaj.org-article:8cb650212fd54d789a54adb4431a377e
record_format	dspace
institution	DOAJ
collection	DOAJ
language	EN
topic	Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270
spellingShingle	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
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. Author summary The dengue virus, transmitted by Aedes vectors, has been continuously spreading in tropical and subtropical countries, causing illness and fatality. Given the lack of a cost-effective dengue vaccine, the vector control approach for reducing the Aedes population remains the key method for mitigating dengue transmission. For a successful vector control program, an effective vector surveillance system is crucial for precisely predicting the spatial and temporal risk of a dengue outbreak. The ovitrap system improves data collection efficiency, aiding long-term dengue vector monitoring activities. This study is one of the few long-term dengue vector surveillance programs in Indonesia and provides compelling evidence of the need to improve the existing conventional larval surveillance system. The results demonstrated that two dengue vector mosquitoes, A. aegypti and A. albopictus, were present in the study area, and A. aegypti was more prevalent than A. albopictus. We observed an interactive relationship between ovitrap placement and rainfall in the dynamics of ovitrap-related indices; understanding this relationship allows for timely initiation of vector control and intervention strategies. We conclude that the ovitrap surveillance system is a sensitive tool for monitoring the population dynamics of Aedes vectors, predicting dengue outbreaks, and potentially improving community-based conventional larval surveillance.
format	article
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
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spelling	oai:doaj.org-article:8cb650212fd54d789a54adb4431a377e2021-11-18T09:11:35ZOvitrap surveillance of dengue vector mosquitoes in Bandung City, West Java Province, Indonesia1935-27271935-2735https://doaj.org/article/8cb650212fd54d789a54adb4431a377e2021-10-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577782/?tool=EBIhttps://doaj.org/toc/1935-2727https://doaj.org/toc/1935-2735Larval 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. Author summary The dengue virus, transmitted by Aedes vectors, has been continuously spreading in tropical and subtropical countries, causing illness and fatality. Given the lack of a cost-effective dengue vaccine, the vector control approach for reducing the Aedes population remains the key method for mitigating dengue transmission. For a successful vector control program, an effective vector surveillance system is crucial for precisely predicting the spatial and temporal risk of a dengue outbreak. The ovitrap system improves data collection efficiency, aiding long-term dengue vector monitoring activities. This study is one of the few long-term dengue vector surveillance programs in Indonesia and provides compelling evidence of the need to improve the existing conventional larval surveillance system. The results demonstrated that two dengue vector mosquitoes, A. aegypti and A. albopictus, were present in the study area, and A. aegypti was more prevalent than A. albopictus. We observed an interactive relationship between ovitrap placement and rainfall in the dynamics of ovitrap-related indices; understanding this relationship allows for timely initiation of vector control and intervention strategies. We conclude that the ovitrap surveillance system is a sensitive tool for monitoring the population dynamics of Aedes vectors, predicting dengue outbreaks, and potentially improving community-based conventional larval surveillance.Hadian Iman SasmitaKok-Boon NeohSri YusmalinarTjandra AnggraeniNiann-Tai ChangLee-Jin BongRamadhani Eka PutraAmelia SebayangChristina Natalina SilalahiIntan AhmadWu-Chun TuPublic Library of Science (PLoS)articleArctic medicine. Tropical medicineRC955-962Public aspects of medicineRA1-1270ENPLoS Neglected Tropical Diseases, Vol 15, Iss 10 (2021)

Ovitrap surveillance of dengue vector mosquitoes in Bandung City, West Java Province, Indonesia

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