Evidence map›Paper›PMID 24287855›Full record

ArticleInternational journal of environmental research and public health2013

Assessing weather effects on dengue disease in Malaysia.

Yoon Ling Cheong, Katrin Burkart, Pedro J Leitão, Tobia Lakes

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 4 pooled it
6.5field-weighted citation impact, top 4% of its field
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

54 citing papers in PubMed, 4 syntheses or guidelines pooled it, 181 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Research on Climate and Dengue in Malaysia: A Systematic Review.Current environmental health reports · 2016
    Pooled it
  4. A systematic review and meta-analysis of dengue risk with temperature change.International journal of environmental research and public health · 2014
    Pooled it
  5. Epidemiology of Dengue Virus Infection in Different Geopolitical Zones of Odisha in Relation to Climatic Variation: An Observational Study.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026
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  20. The Effects of Meteorological Factors on Dengue Cases in Malaysia.International journal of environmental research and public health · 2022
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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

4 authors at 2 institutions in 2 countries.

Yoon Ling CheongGeoinformation Science Lab, Department of Geography, Humboldt-Universität zu Berlin, Unter den Linden 6, Berlin 10099, Germany. yoon.ling.cheong@geo.hu-berlin.de.
Katrin Burkart
Pedro J Leitão
Tobia Lakes
Humboldt-Universität zu Berlin · DEInstitute for Medical Research · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of dengue cases has been increasing on a global level in recent years, and particularly so in Malaysia, yet little is known about the effects of weather for identifying the short-term risk of dengue for the population. The aim of this paper is to estimate the weather effects on dengue disease accounting for non-linear temporal effects in Selangor, Kuala Lumpur and Putrajaya, Malaysia, from 2008 to 2010. We selected the weather parameters with a Poisson generalized additive model, and then assessed the effects of minimum temperature, bi-weekly accumulated rainfall and wind speed on dengue cases using a distributed non-linear lag model while adjusting for trend, day-of-week and week of the year. We found that the relative risk of dengue cases is positively associated with increased minimum temperature at a cumulative percentage change of 11.92% (95% CI: 4.41-32.19), from 25.4 °C to 26.5 °C, with the highest effect delayed by 51 days. Increasing bi-weekly accumulated rainfall had a positively strong effect on dengue cases at a cumulative percentage change of 21.45% (95% CI: 8.96, 51.37), from 215 mm to 302 mm, with the highest effect delayed by 26-28 days. The wind speed is negatively associated with dengue cases. The estimated lagged effects can be adapted in the dengue early warning system to assist in vector control and prevention plan.

Indexed as

WeatherDengueDengue VirusHumansMalaysiaNonlinear DynamicsPoisson DistributionSeasons

Identifiers

PMID24287855
PMCPMC3881116
OpenAlexW2046313806

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.