Evidence map›Paper›PMID 37147317›Full record

ArticleScientific reports2023

Malaria, climate variability, and interventions: modelling transmission dynamics.

Anton Beloconi, Bryan O Nyawanda, Godfrey Bigogo, Sammy Khagayi, David Obor, Ina Danquah, Simon Kariuki, Stephen Munga, Penelope Vounatsou

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
33.3field-weighted citation impact, top 1% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 113 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

9 authors at 4 institutions in 3 countries.

Anton BeloconiSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Bryan O NyawandaSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Godfrey BigogoKenya Medical Research Institute - Centre for Global Health Research, Kisumu, Kenya.
Sammy KhagayiKenya Medical Research Institute - Centre for Global Health Research, Kisumu, Kenya.
David OborKenya Medical Research Institute - Centre for Global Health Research, Kisumu, Kenya.
Ina DanquahHeidelberg Institute of Global Health (HIGH), Medical Faculty and University Hospital, Heidelberg University, Heidelberg, Germany.
Simon KariukiKenya Medical Research Institute - Centre for Global Health Research, Kisumu, Kenya.
Stephen MungaKenya Medical Research Institute - Centre for Global Health Research, Kisumu, Kenya.
Penelope VounatsouSwiss Tropical and Public Health Institute, Allschwil, Switzerland. penelope.vounatsou@swisstph.ch.
Kenya Medical Research Institute · KESwiss Tropical and Public Health Institute · CHUniversity Hospital Heidelberg · DEUniversity of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessment of the relative impact of climate change on malaria dynamics is a complex problem. Climate is a well-known factor that plays a crucial role in driving malaria outbreaks in epidemic transmission areas. However, its influence in endemic environments with intensive malaria control interventions is not fully understood, mainly due to the scarcity of high-quality, long-term malaria data. The demographic surveillance systems in Africa offer unique platforms for quantifying the relative effects of weather variability on the burden of malaria. Here, using a process-based stochastic transmission model, we show that in the lowlands of malaria endemic western Kenya, variations in climatic factors played a key role in driving malaria incidence during 2008-2019, despite high bed net coverage and use among the population. The model captures some of the main mechanisms of human, parasite, and vector dynamics, and opens the possibility to forecast malaria in endemic regions, taking into account the interaction between future climatic conditions and intervention scenarios.

Indexed as

MalariaClimate ChangeHumansIncidenceKenyaWeather

Identifiers

PMID37147317
PMCPMC10161998
OpenAlexW4372270893

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.