Evidence map›Paper›PMID 39465413›Full record

ArticleInternational journal of health geographics2024

The influence of malaria control interventions and climate variability on changes in the geographical distribution of parasite prevalence in Kenya between 2015 and 2020.

Bryan O Nyawanda, Sammy Khagayi, Eric Ochomo, Godfrey Bigogo, Simon Kariuki, Stephen Munga, Penelope Vounatsou

Abstract read
In one paragraph

Article in International journal of health geographics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

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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

7 authors.

Bryan O NyawandaKenya Medical Research Institute - Centre for Global Health Research, Kisumu, Kenya.
Sammy KhagayiKenya Medical Research Institute - Centre for Global Health Research, Kisumu, Kenya.
Eric OchomoKenya Medical Research Institute - Centre for Global Health Research, Kisumu, Kenya.
Godfrey BigogoKenya Medical Research Institute - Centre for Global Health Research, Kisumu, Kenya.
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, Basel, Switzerland. penelope.vounatsou@swisstph.ch.

Funding

Deutsche Forschungsgemeinschaft DFG/FOR 2936Swiss National Science Foundation SNSF 310030E_186574
6 · The paper itself

Abstract

backgroundThe burden of malaria in Kenya was showing a declining trend, but appears to have reached a plateau in recent years. This study estimated changes in the geographical distribution of malaria parasite risk in the country between the years 2015 and 2020, and quantified the contribution of malaria control interventions and climatic/ environmental factors to these changes.

methodsBayesian geostatistical models were used to analyse the Kenyan 2015 and 2020 Malaria Indicator Survey (MIS) data. Bivariate models were fitted to identify the most important control intervention indicators and climatic/environmental predictors of parasitaemia risk by age groups (6-59 months and 5-14 years). Parasitaemia risk and the number of infected children were predicted over a 1 × 1 km

resultsThere was a significant decline in the coverage of most malaria indicators related to Insecticide Treated Nets (ITN) and Artemisinin Combination Therapies (ACT) interventions. Overall, there was a 31% and 26% reduction in malaria prevalence among children aged < 5 and 5-14 years, respectively. Among younger children, the highest reduction (50%) and increase (41%) were in the low-risk and semi-arid epi zones, respectively; while among older children there was increased risk in both the low-risk (83%) and semi-arid (100%) epi zones. Increase in nightlights and the proportion of individuals using ITNs in 2020 were associated with reduced parasitaemia risk.

conclusionIncreased nightlights and ITN use could have led to the reduction in parasitaemia risk. However, the reduction is heterogeneous and there was increased risk in northern Kenya. Taken together, these results suggest that constant surveillance and re-evaluation of parasite and vector control measures in areas with increased transmission is necessary. The methods used in this analysis can be employed in other settings.

Indexed as

MalariaAdolescentBayes TheoremChildChild, PreschoolClimateClimate ChangeFemaleHumansInfantInsecticide-Treated BednetsKenyaMaleParasitemiaPrevalenceBayesian inferenceGeostatistical modellingMalaria indicator surveyVariable selectionZero-inflated malaria models

Identifiers

PMID39465413
PMCPMC11514743

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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.