Evidence map›Paper›PMID 35682035›Full record

ArticleInternational journal of environmental research and public health2022

The Effects of Meteorological Factors on Dengue Cases in Malaysia.

Sarbhan Singh, Lai Chee Herng, Lokman Hakim Sulaiman, Shew Fung Wong, Jenarun Jelip, Norhayati Mokhtar, Quillon Harpham, Gina Tsarouchi, Balvinder Singh Gill

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Spatio-temporal Distribution and Relative Risk of Dengue Fever in Peninsular Malaysia.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2026
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  8. Review of Importance of Weather and Environmental Variables in Agent-Based Arbovirus Models.International journal of environmental research and public health · 2022
    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

9 authors at 3 institutions in 2 countries.

Sarbhan SinghInstitute for Medical Research, Ministry of Health, Shah Alam 40170, Malaysia.ORCID 0000-0002-6602-1758
Lai Chee HerngInstitute for Medical Research, Ministry of Health, Shah Alam 40170, Malaysia.ORCID 0000-0002-7032-0363
Lokman Hakim SulaimanInstitute for Research, Development and Innovation (IRDI), International Medical University, Kuala Lumpur 57000, Malaysia.ORCID 0000-0002-5840-8450
Shew Fung WongSchool of Medicine, International Medical University, Kuala Lumpur 57000, Malaysia.
Jenarun JelipVector Borne Disease Control Division, Ministry of Health Malaysia, Putrajaya 62000, Malaysia.
Norhayati MokhtarVector Borne Disease Control Division, Ministry of Health Malaysia, Putrajaya 62000, Malaysia.
Quillon HarphamHR Wallingford, Wallingford OX10 8BA, UK.
Gina TsarouchiHR Wallingford, Wallingford OX10 8BA, UK.
Balvinder Singh GillInstitute for Medical Research, Ministry of Health, Shah Alam 40170, Malaysia.ORCID 0000-0002-0738-2991
Ministry of Health · MYHR Wallingford · GBIMU University · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue is a vector-borne disease affected by meteorological factors and is commonly recorded from ground stations. Data from ground station have limited spatial representation and accuracy, which can be overcome using satellite-based Earth Observation (EO) recordings instead. EO-based meteorological recordings can help to provide a better understanding of the correlations between meteorological variables and dengue cases. This paper aimed to first validate the satellite-based (EO) data of temperature, wind speed, and rainfall using ground station data. Subsequently, we aimed to determine if the spatially matched EO data correlated with dengue fever cases from 2011 to 2019 in Malaysia. EO data were spatially matched with the data from four ground stations located at states and districts in the central (Selangor, Petaling) and east coast (Kelantan, Kota Baharu) geographical regions of Peninsular Malaysia. Spearman's rank-order correlation coefficient (ρ) was performed to examine the correlation between EO and ground station data. A cross-correlation analysis with an eight-week lag period was performed to examine the magnitude of correlation between EO data and dengue case across the three time periods (2011-2019, 2015-2019, 2011-2014). The highest correlation between the ground-based stations and corresponding EO data were reported for temperature (mean ρ = 0.779), followed by rainfall (mean ρ = 0.687) and wind speed (mean ρ = 0.639). Overall, positive correlations were observed between weekly dengue cases and rainfall for Selangor and Petaling across all time periods with significant correlations being observed for the period from 2011 to 2019 and 2015 to 2019. In addition, positive significant correlations were also observed between weekly dengue cases and temperature for Kelantan and Kota Baharu across all time periods, while negative significant correlations between weekly dengue cases and temperature were observed in Selangor and Petaling across all time periods. Overall negative correlations were observed between weekly dengue cases and wind speed in all areas from 2011 to 2019 and 2015 to 2019, with significant correlations being observed for the period from 2015 to 2019. EO-derived meteorological variables explained 48.2% of the variation in dengue cases in Selangor. Moderate to strong correlations were observed between meteorological variables recorded from EO data derived from satellites and ground stations, thereby justifying the use of EO data as a viable alternative to ground stations for recording meteorological variables. Both rainfall and temperature were found to be positively correlated with weekly dengue cases; however, wind speed was negatively correlated with dengue cases.

Indexed as

DengueHumansIncidenceMalaysiaMeteorological ConceptsTemperatureWinddengueearth observationrainfalltemperaturewind speed

Identifiers

PMID35682035
PMCPMC9180499
OpenAlexW4281663883

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.