Evidence map›Paper›PMID 37021322›Full record

ArticleParasite epidemiology and control2023

The relative effect of climate variability on malaria incidence after scale-up of interventions in western Kenya: A time-series analysis of monthly incidence data from 2008 to 2019.

Bryan O Nyawanda, Anton Beloconi, Sammy Khagayi, Godfrey Bigogo, David Obor, Nancy A Otieno, Stefan Lange, Jonas Franke, Rainer Sauerborn, Jürg Utzinger and 3 more

Abstract read
In one paragraph

Article in Parasite epidemiology and control, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  13. Advance Warning and Response Systems in Kenya: A Scoping Review.medRxiv : the preprint server for health sciences · 2025
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  17. Impact of Climate Variability and Interventions on Malaria Incidence and Forecasting in Burkina Faso.International journal of environmental research and public health · 2024
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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

13 authors.

Bryan O NyawandaKenya Medical Research Institute - Centre for Global Health Research, Kisumu, Kenya.
Anton BeloconiSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Sammy KhagayiKenya Medical Research Institute - Centre for Global Health Research, Kisumu, Kenya.
Godfrey BigogoKenya Medical Research Institute - Centre for Global Health Research, Kisumu, Kenya.
David OborKenya Medical Research Institute - Centre for Global Health Research, Kisumu, Kenya.
Nancy A OtienoKenya Medical Research Institute - Centre for Global Health Research, Kisumu, Kenya.
Stefan LangePotsdam Institute for Climate Impact Research, Potsdam, Germany.
Jonas FrankeRemote Sensing Solutions GmbH, Munich, Germany.
Rainer SauerbornHeidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany.
Jürg UtzingerSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite considerable progress made over the past 20 years in reducing the global burden of malaria, the disease remains a major public health problem and there is concern that climate change might expand suitable areas for transmission. This study investigated the relative effect of climate variability on malaria incidence after scale-up of interventions in western Kenya. Methods: Bayesian negative binomial models were fitted to monthly malaria incidence data, extracted from records of patients with febrile illnesses visiting the Lwak Mission Hospital between 2008 and 2019. Data pertaining to bed net use and socio-economic status (SES) were obtained from household surveys. Climatic proxy variables obtained from remote sensing were included as covariates in the models. Bayesian variable selection was used to determine the elapsing time between climate suitability and malaria incidence. Results: Malaria incidence increased by 50% from 2008 to 2010, then declined by 73% until 2015. There was a resurgence of cases after 2016, despite high bed net use. Increase in daytime land surface temperature was associated with a decline in malaria incidence (incidence rate ratio [IRR] = 0.70, 95% Bayesian credible interval [BCI]: 0.59-0.82), while rainfall was associated with increased incidence (IRR = 1.27, 95% BCI: 1.10-1.44). Bed net use was associated with a decline in malaria incidence in children aged 6-59 months (IRR = 0.78, 95% BCI: 0.70-0.87) but not in older age groups, whereas SES was not associated with malaria incidence in this population. Conclusions: Variability in climatic factors showed a stronger effect on malaria incidence than bed net use. Bed net use was, however, associated with a reduction in malaria incidence, especially among children aged 6-59 months after adjusting for climate effects. To sustain the downward trend in malaria incidence, this study recommends continued distribution and use of bed nets and consideration of climate-based malaria early warning systems when planning for future control interventions.

Indexed as

AdaptationBayesian modellingBed net useClimate changeEarly warning systemsIncidenceKenyaMalariaRemote sensing

Identifiers

PMID37021322
PMCPMC10068258

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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.