Evidence map›Paper›PMID 26967524›Full record

ArticlePLoS neglected tropical diseases2016

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

Erratum issuedAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Potential Way to Develop Dengue Virus Detection inTropical medicine and infectious disease · 2024
    Review
  2. Article
  3. Insects · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Veterinary world · 2020
    Article
  10. Article
  11. Frontiers in public health · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Siwi P M WijayantiMRC-University of Glasgow Centre for Virus Research, Glasgow, Scotland, United Kingdom.
Sunaryo SunaryoVector Borne Disease Research and Development Unit, Banjarnegara, Indonesia.
Suprihatin SuprihatinParasitology Department, University of Gadjah Mada, Yogyakarta, Indonesia.
Melanie McFarlaneMRC-University of Glasgow Centre for Virus Research, Glasgow, Scotland, United Kingdom.
Stephanie M RaineyMRC-University of Glasgow Centre for Virus Research, Glasgow, Scotland, United Kingdom.
Isabelle DietrichMRC-University of Glasgow Centre for Virus Research, Glasgow, Scotland, United Kingdom.
Esther SchnettlerMRC-University of Glasgow Centre for Virus Research, Glasgow, Scotland, United Kingdom.
Roman BiekMRC-University of Glasgow Centre for Virus Research, Glasgow, Scotland, United Kingdom.
Alain KohlMRC-University of Glasgow Centre for Virus Research, Glasgow, Scotland, United Kingdom.

Funding

Medical Research Council MC_UP_A550_1031Medical Research Council MC_UU_12014/4Medical Research Council MC_UU_12014/8
6 · The paper itself

Abstract

backgroundNo 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

findingsWe 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.

Indexed as

Epidemiologic MethodsAnimalsCulicidaeDengueEntomologyFemaleIndonesiaLarvaMaleRisk AssessmentSurveys and Questionnaires

Identifiers

PMID26967524
PMCPMC4788303

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.