Evidence map›Paper›PMID 28571572›Full record

ArticleMalaria journal2017

Assessment of climate-driven variations in malaria incidence in Swaziland: toward malaria elimination.

Ting-Wu Chuang, Adam Soble, Nyasatu Ntshalintshali, Nomcebo Mkhonta, Eric Seyama, Steven Mthethwa, Deepa Pindolia, Simon Kunene

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 28% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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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

8 authors at 3 institutions in 3 countries.

Ting-Wu ChuangDepartment of Molecular Parasitology and Tropical Diseases, School of Medicine, College of Medicine, Taipei Medical University, No. 250, Wuxing St. Sinyi District, Taipei, 100, Taiwan. chtingwu@tmu.edu.tw.ORCID 0000-0001-8359-8172
Adam SobleClinton Health Access Initiative, Manzini, Swaziland.
Nyasatu NtshalintshaliClinton Health Access Initiative, Manzini, Swaziland.
Nomcebo MkhontaNational Malaria Control Programme, Ministry of Health, Manzini, Swaziland.
Eric SeyamaSwaziland Meteorological Service, Mbabane, Swaziland.
Steven MthethwaNational Malaria Control Programme, Ministry of Health, Manzini, Swaziland.
Deepa PindoliaClinton Health Access Initiative, Manzini, Swaziland.
Simon KuneneNational Malaria Control Programme, Ministry of Health, Manzini, Swaziland.
Clinton Health Access Initiative · USHungarian Meteorological Service · HUTaipei Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSwaziland aims to eliminate malaria by 2020. However, imported cases from neighbouring endemic countries continue to sustain local parasite reservoirs and initiate transmission. As certain weather and climatic conditions may trigger or intensify malaria outbreaks, identification of areas prone to these conditions may aid decision-makers in deploying targeted malaria interventions more effectively.

methodsMalaria case-surveillance data for Swaziland were provided by Swaziland's National Malaria Control Programme. Climate data were derived from local weather stations and remote sensing images. Climate parameters and malaria cases between 2001 and 2015 were then analysed using seasonal autoregressive integrated moving average models and distributed lag non-linear models (DLNM).

resultsThe incidence of malaria in Swaziland increased between 2005 and 2010, especially in the Lubombo and Hhohho regions. A time-series analysis indicated that warmer temperatures and higher precipitation in the Lubombo and Hhohho administrative regions are conducive to malaria transmission. DLNM showed that the risk of malaria increased in Lubombo when the maximum temperature was above 30 °C or monthly precipitation was above 5 in. In Hhohho, the minimum temperature remaining above 15 °C or precipitation being greater than 10 in. might be associated with malaria transmission.

conclusionsThis study provides a preliminary assessment of the impact of short-term climate variations on malaria transmission in Swaziland. The geographic separation of imported and locally acquired malaria, as well as population behaviour, highlight the varying modes of transmission, part of which may be relevant to climate conditions. Thus, the impact of changing climate conditions should be noted as Swaziland moves toward malaria elimination.

Indexed as

ClimateClimate ChangeCommunicable Disease ControlEswatiniHumansIncidenceMalariaNonlinear DynamicsClimate variationsMalaria eliminationSwaziland

Identifiers

PMID28571572
PMCPMC5455096
OpenAlexW2620980595

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.