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

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Date 2016 Mar 12
PMID 26967524
Citations 18
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Abstract

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.

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References
1.
Chan M, Johansson M . The incubation periods of Dengue viruses. PLoS One. 2012; 7(11):e50972. PMC: 3511440. DOI: 10.1371/journal.pone.0050972. View

2.
Sanchez L, Cortinas J, Pelaez O, Gutierrez H, Concepcion D, Van der Stuyft P . Breteau Index threshold levels indicating risk for dengue transmission in areas with low Aedes infestation. Trop Med Int Health. 2010; 15(2):173-5. DOI: 10.1111/j.1365-3156.2009.02437.x. View

3.
Charan S, Pawar K, Severson D, Patole M, Shouche Y . Comparative analysis of midgut bacterial communities of Aedes aegypti mosquito strains varying in vector competence to dengue virus. Parasitol Res. 2013; 112(7):2627-37. DOI: 10.1007/s00436-013-3428-x. View

4.
Ong S, Yip J, Chen Y, Liu W, Harun S, Lystiyaningsih E . Periodic re-emergence of endemic strains with strong epidemic potential-a proposed explanation for the 2004 Indonesian dengue epidemic. Infect Genet Evol. 2008; 8(2):191-204. DOI: 10.1016/j.meegid.2007.12.005. View

5.
Nyamah M, Sulaiman S, Omar B . Categorization of potential breeding sites of dengue vectors in Johor, Malaysia. Trop Biomed. 2010; 27(1):33-40. View