Dengue in Java, Indonesia: Relevance of Mosquito Indices as Risk Predictors.

Background No vaccine is currently available for dengue virus (DENV), therefore control programmes usually focus on managing mosquito vector populations. Entomological surveys provide the most common means of characterising vector populations and predicting the risk of local dengue virus transmissio...

Full description

Bibliographic Details
Published in:PLOS Neglected Tropical Diseases
Main Authors: Siwi P M Wijayanti, Sunaryo Sunaryo, Suprihatin Suprihatin, Melanie McFarlane, Stephanie M Rainey, Isabelle Dietrich, Esther Schnettler, Roman Biek, Alain Kohl
Format: Article in Journal/Newspaper
Language:English
Published: Public Library of Science (PLoS) 2016
Subjects:
Online Access:https://doi.org/10.1371/journal.pntd.0004500
https://doaj.org/article/6c540dcece7d4afbae9d757f1b2eab21
id ftdoajarticles:oai:doaj.org/article:6c540dcece7d4afbae9d757f1b2eab21
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:6c540dcece7d4afbae9d757f1b2eab21 2023-05-15T15:10:38+02:00 Dengue in Java, Indonesia: Relevance of Mosquito Indices as Risk Predictors. Siwi P M Wijayanti Sunaryo Sunaryo Suprihatin Suprihatin Melanie McFarlane Stephanie M Rainey Isabelle Dietrich Esther Schnettler Roman Biek Alain Kohl 2016-03-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0004500 https://doaj.org/article/6c540dcece7d4afbae9d757f1b2eab21 EN eng Public Library of Science (PLoS) https://doi.org/10.1371/journal.pntd.0004500 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0004500 https://doaj.org/article/6c540dcece7d4afbae9d757f1b2eab21 PLoS Neglected Tropical Diseases, Vol 10, Iss 3, p e0004500 (2016) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2016 ftdoajarticles https://doi.org/10.1371/journal.pntd.0004500 2022-12-31T10:59:43Z Background No vaccine is currently available for dengue virus (DENV), therefore control programmes usually focus on managing mosquito vector populations. Entomological surveys provide the most common means of characterising vector populations and predicting the risk of local dengue virus transmission. Despite Indonesia being a country strongly affected by DENV, only limited information is available on the local factors affecting DENV transmission and the suitability of available survey methods for assessing risk. Methodology/principal findings We conducted entomological surveys in the Banyumas Regency (Central Java) where dengue cases occur on an annual basis. Four villages were sampled during the dry and rainy seasons: two villages where dengue was endemic, one where dengue cases occurred sporadically and one which was dengue-free. In addition to data for conventional larvae indices, we collected data on pupae indices, and collected adult mosquitoes for species identification in order to determine mosquito species composition and population density. Traditionally used larval indices (House indices, Container indices and Breteau indices) were found to be inadequate as indicators for DENV transmission risk. In contrast, species composition of adult mosquitoes revealed that competent vector species were dominant in dengue endemic and sporadic villages. Conclusions/significance Our data suggested that the utility of traditional larvae indices, which continue to be used in many dengue endemic countries, should be re-evaluated locally. The results highlight the need for validation of risk indicators and control strategies across DENV affected areas here and perhaps elsewhere in SE Asia. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLOS Neglected Tropical Diseases 10 3 e0004500
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
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
Siwi P M Wijayanti
Sunaryo Sunaryo
Suprihatin Suprihatin
Melanie McFarlane
Stephanie M Rainey
Isabelle Dietrich
Esther Schnettler
Roman Biek
Alain Kohl
Dengue in Java, Indonesia: Relevance of Mosquito Indices as Risk Predictors.
topic_facet Arctic medicine. Tropical medicine
RC955-962
Public aspects of medicine
RA1-1270
description Background No vaccine is currently available for dengue virus (DENV), therefore control programmes usually focus on managing mosquito vector populations. Entomological surveys provide the most common means of characterising vector populations and predicting the risk of local dengue virus transmission. Despite Indonesia being a country strongly affected by DENV, only limited information is available on the local factors affecting DENV transmission and the suitability of available survey methods for assessing risk. Methodology/principal findings We conducted entomological surveys in the Banyumas Regency (Central Java) where dengue cases occur on an annual basis. Four villages were sampled during the dry and rainy seasons: two villages where dengue was endemic, one where dengue cases occurred sporadically and one which was dengue-free. In addition to data for conventional larvae indices, we collected data on pupae indices, and collected adult mosquitoes for species identification in order to determine mosquito species composition and population density. Traditionally used larval indices (House indices, Container indices and Breteau indices) were found to be inadequate as indicators for DENV transmission risk. In contrast, species composition of adult mosquitoes revealed that competent vector species were dominant in dengue endemic and sporadic villages. Conclusions/significance Our data suggested that the utility of traditional larvae indices, which continue to be used in many dengue endemic countries, should be re-evaluated locally. The results highlight the need for validation of risk indicators and control strategies across DENV affected areas here and perhaps elsewhere in SE Asia.
format Article in Journal/Newspaper
author Siwi P M Wijayanti
Sunaryo Sunaryo
Suprihatin Suprihatin
Melanie McFarlane
Stephanie M Rainey
Isabelle Dietrich
Esther Schnettler
Roman Biek
Alain Kohl
author_facet Siwi P M Wijayanti
Sunaryo Sunaryo
Suprihatin Suprihatin
Melanie McFarlane
Stephanie M Rainey
Isabelle Dietrich
Esther Schnettler
Roman Biek
Alain Kohl
author_sort Siwi P M Wijayanti
title Dengue in Java, Indonesia: Relevance of Mosquito Indices as Risk Predictors.
title_short Dengue in Java, Indonesia: Relevance of Mosquito Indices as Risk Predictors.
title_full Dengue in Java, Indonesia: Relevance of Mosquito Indices as Risk Predictors.
title_fullStr Dengue in Java, Indonesia: Relevance of Mosquito Indices as Risk Predictors.
title_full_unstemmed Dengue in Java, Indonesia: Relevance of Mosquito Indices as Risk Predictors.
title_sort dengue in java, indonesia: relevance of mosquito indices as risk predictors.
publisher Public Library of Science (PLoS)
publishDate 2016
url https://doi.org/10.1371/journal.pntd.0004500
https://doaj.org/article/6c540dcece7d4afbae9d757f1b2eab21
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source PLoS Neglected Tropical Diseases, Vol 10, Iss 3, p e0004500 (2016)
op_relation https://doi.org/10.1371/journal.pntd.0004500
https://doaj.org/toc/1935-2727
https://doaj.org/toc/1935-2735
1935-2727
1935-2735
doi:10.1371/journal.pntd.0004500
https://doaj.org/article/6c540dcece7d4afbae9d757f1b2eab21
op_doi https://doi.org/10.1371/journal.pntd.0004500
container_title PLOS Neglected Tropical Diseases
container_volume 10
container_issue 3
container_start_page e0004500
_version_ 1766341627023982592