Evidence map›Paper›PMID 28545590›Full record

ArticleMalaria journal2017

Effect of climatic variability on malaria trends in Baringo County, Kenya.

Edwin K Kipruto, Alfred O Ochieng, Douglas N Anyona, Macrae Mbalanya, Edna N Mutua, Daniel Onguru, Isaac K Nyamongo, Benson B A Estambale

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 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

36 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
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  6. Impact of Global Climate-Change on Ecology ofIranian journal of public health · 2025
    Review
  7. Effect of seasonal variability on the increased malaria positivity rate in drought-prone malaria endemic areas of Ethiopia.Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2024
    Article
  8. Article
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  10. Review
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  15. Review
  16. Forecasting Malaria Morbidity to 2036 Based on Geo-Climatic Factors in the Democratic Republic of Congo.International journal of environmental research and public health · 2022
    Article
  17. Distribution and Risk Factors of Malaria in the Greater Accra Region in Ghana.International journal of environmental research and public health · 2022
    Article
  18. Article
  19. Article
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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 2 institutions in 2 countries.

Edwin K KiprutoHasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium.
Alfred O OchiengSchool of Biological and Physical Sciences, Jaramogi Oginga Odinga University of Science and Technology, P. O. Box 210, Bondo, 40601, Kenya.ORCID 0000-0003-4986-0741
Douglas N AnyonaDivision of Research Innovation and Outreach, Jaramogi Oginga Odinga University of Science and Technology, P. O. Box 210, Bondo, 40601, Kenya.
Macrae MbalanyaDivision of Research Innovation and Outreach, Jaramogi Oginga Odinga University of Science and Technology, P. O. Box 210, Bondo, 40601, Kenya.
Edna N MutuaInstitute of Anthropology, Gender and African Studies, University of Nairobi, P.O. Box 30197, Nairobi, 00100, Kenya.
Daniel OnguruSchool of Health Sciences, Jaramogi Oginga Odinga University of Science and Technology, P. O. Box 210, Bondo, 40601, Kenya.
Isaac K NyamongoInstitute of Anthropology, Gender and African Studies, University of Nairobi, P.O. Box 30197, Nairobi, 00100, Kenya.
Benson B A EstambaleDivision of Research Innovation and Outreach, Jaramogi Oginga Odinga University of Science and Technology, P. O. Box 210, Bondo, 40601, Kenya. bestambale@jooust.ac.ke.ORCID 0000-0003-0667-9811
Jaramogi Oginga Odinga University of Science and Technology · KEUniversity of Nairobi · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria transmission in arid and semi-arid regions of Kenya such as Baringo County, is seasonal and often influenced by climatic factors. Unravelling the relationship between climate variables and malaria transmission dynamics is therefore instrumental in developing effective malaria control strategies. The main aim of this study was to describe the effects of variability of rainfall, maximum temperature and vegetation indices on seasonal trends of malaria in selected health facilities within Baringo County, Kenya.

methodsClimate variables sourced from the International Research Institute (IRI)/Lamont-Doherty Earth Observatory (LDEO) climate database and malaria cases reported in 10 health facilities spread across four ecological zones (riverine, lowland, mid-altitude and highland) between 2004 and 2014 were subjected to a time series analysis. A negative binomial regression model with lagged climate variables was used to model long-term monthly malaria cases. The seasonal Mann-Kendall trend test was then used to detect overall monotonic trends in malaria cases.

resultsMalaria cases increased significantly in the highland and midland zones over the study period. Changes in malaria prevalence corresponded to variations in rainfall and maximum temperature. Rainfall at a time lag of 2 months resulted in an increase in malaria transmission across the four zones while an increase in temperature at time lags of 0 and 1 month resulted in an increase in malaria cases in the riverine and highland zones, respectively.

conclusionGiven the existence of a time lag between climatic variables more so rainfall and peak malaria transmission, appropriate control measures can be initiated at the onset of short and after long rains seasons.

Indexed as

Climate ChangeEcosystemHumansKenyaMalariaModels, StatisticalModels, TheoreticalPrevalenceSeasonsBaringo CountyKenyaMalaria transmissionRainfallSeasonal trendsTemperature

Identifiers

PMID28545590
PMCPMC5445289
OpenAlexW2620330768

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.