Evidence map›Paper›PMID 24669859›Full record

SynthesisBMC infectious diseases2014

Climate change and dengue: a critical and systematic review of quantitative modelling approaches.

Suchithra Naish, Pat Dale, John S Mackenzie, John McBride, Kerrie Mengersen, Shilu Tong

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed, 10 pooled it
–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

149 citing papers in PubMed, 10 syntheses or guidelines pooled it.

  1. Pooled it
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  5. How climate change can affect cholera incidence and prevalence? A systematic review.Environmental science and pollution research international · 2020
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  8. Research on Climate and Dengue in Malaysia: A Systematic Review.Current environmental health reports · 2016
    Pooled it
  9. A systematic review and meta-analysis of dengue risk with temperature change.International journal of environmental research and public health · 2014
    Pooled it
  10. Modeling tools for dengue risk mapping - a systematic review.International journal of health geographics · 2014
    Pooled it
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89 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Suchithra NaishSchool of Public Health and Social Work & Institute of Health and Biomedical Innovation, Queensland University of Technology, Victoria Park Road, Brisbane, Queensland, Australia. s.naish@qut.edu.au.
Pat Dale
John S Mackenzie
John McBride
Kerrie Mengersen
Shilu Tong

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany studies have found associations between climatic conditions and dengue transmission. However, there is a debate about the future impacts of climate change on dengue transmission. This paper reviewed epidemiological evidence on the relationship between climate and dengue with a focus on quantitative methods for assessing the potential impacts of climate change on global dengue transmission.

methodsA literature search was conducted in October 2012, using the electronic databases PubMed, Scopus, ScienceDirect, ProQuest, and Web of Science. The search focused on peer-reviewed journal articles published in English from January 1991 through October 2012.

resultsSixteen studies met the inclusion criteria and most studies showed that the transmission of dengue is highly sensitive to climatic conditions, especially temperature, rainfall and relative humidity. Studies on the potential impacts of climate change on dengue indicate increased climatic suitability for transmission and an expansion of the geographic regions at risk during this century. A variety of quantitative modelling approaches were used in the studies. Several key methodological issues and current knowledge gaps were identified through this review.

conclusionsIt is important to assemble spatio-temporal patterns of dengue transmission compatible with long-term data on climate and other socio-ecological changes and this would advance projections of dengue risks associated with climate change.

Indexed as

Climate ChangeModels, BiologicalModels, StatisticalAedesAnimalsDengueHumansInsect VectorsRisk

Identifiers

PMID24669859
PMCPMC3986908

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.