Evidence map›Paper›PMID 25591942›Full record

ArticleEpidemiology and infection2015

Testing the impact of virus importation rates and future climate change on dengue activity in Malaysia using a mechanistic entomology and disease model.

C R Williams, B S Gill, G Mincham, A H Mohd Zaki, N Abdullah, W R W Mahiyuddin, R Ahmad, M K Shahar, D Harley, E Viennet and 2 more

Abstract read
In one paragraph

Article in Epidemiology and infection, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Research on Climate and Dengue in Malaysia: A Systematic Review.Current environmental health reports · 2016
    Pooled it
  2. The Effects of Meteorological Factors on Dengue Cases in Malaysia.International journal of environmental research and public health · 2022
    Article
  3. Article
  4. Review
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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

12 authors.

C R WilliamsSansom Institute for Health Research, University of South Australia,Adelaide,Australia.
B S GillDisease Control Division,Ministry of Health Malaysia.
G MinchamSansom Institute for Health Research, University of South Australia,Adelaide,Australia.
A H Mohd ZakiDisease Control Division,Ministry of Health Malaysia.
N AbdullahEpidemiology and Biostatistics Unit,Institute for Medical Research,Malaysia.
W R W MahiyuddinEpidemiology and Biostatistics Unit,Institute for Medical Research,Malaysia.
R AhmadMedical Entomology Unit & WHO Collaborating Centre,Institute for Medical Research,Malaysia.
M K ShaharMedical Entomology Unit & WHO Collaborating Centre,Institute for Medical Research,Malaysia.
D HarleyNational Centre for Epidemiology and Population Health, Australian National University,Canberra,Australia.
E ViennetNational Centre for Epidemiology and Population Health, Australian National University,Canberra,Australia.
A AzilDepartment of Parasitology and Medical Entomology,Universiti Kebangsaan Malaysia,Malaysia.
A KamaluddinEnvironmental Health Research Centre, Institute for Medical Research,Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to reparameterize and validate an existing dengue model, comprising an entomological component (CIMSiM) and a disease component (DENSiM) for application in Malaysia. With the model we aimed to measure the effect of importation rate on dengue incidence, and to determine the potential impact of moderate climate change (a 1 °C temperature increase) on dengue activity. Dengue models (comprising CIMSiM and DENSiM) were reparameterized for a simulated Malaysian village of 10 000 people, and validated against monthly dengue case data from the district of Petaling Jaya in the state of Selangor. Simulations were also performed for 2008-2012 for variable virus importation rates (ranging from 1 to 25 per week) and dengue incidence determined. Dengue incidence in the period 2010-2012 was modelled, twice, with observed daily weather and with a 1 °C increase, the latter to simulate moderate climate change. Strong concordance between simulated and observed monthly dengue cases was observed (up to r = 0·72). There was a linear relationship between importation and incidence. However, a doubling of dengue importation did not equate to a doubling of dengue activity. The largest individual dengue outbreak was observed with the lowest dengue importation rate. Moderate climate change resulted in an overall decrease in dengue activity over a 3-year period, linked to high human seroprevalence early on in the simulation. Our results suggest that moderate reductions in importation with control programmes may not reduce the frequency of large outbreaks. Moderate increases in temperature do not necessarily lead to greater dengue incidence.

Indexed as

AedesClimate ChangeModels, TheoreticalAnimalsDengueEntomologyHumansMalaysiaSoftwareArbovirusesdengue feverepidemiologyestimatingmodellingprevalence of disease

Identifiers

PMID25591942
PMCPMC9151082

What OpenQuestion holds

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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.