Evidence map›Paper›PMID 35962265›Full record

ArticleActa parasitologica2022

Forecasting the Potential Effects of Climate Change on Malaria in the Lake Victoria Basin Using Regionalized Climate Projections.

Ednah N Ototo, Joseph O Ogutu, Andrew Githeko, Mohammed Y Said, Lucy Kamau, Didacus Namanya, Stella Simiyu, Stephen Mutimba

Open access · hybridAbstract read
In one paragraph

Article in Acta parasitologica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 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 5 institutions in 3 countries.

Ednah N OtotoKenyatta University, P.O. Box 43844, Nairobi, Kenya.
Joseph O OgutuInstitute for Crop Science-340, University of Hohenheim, 70599, Stuttgart, Germany. jogutu2007@gmail.com.ORCID http://orcid.org/0000-0002-7379-0387
Andrew GithekoKenya Medical Research Institute, Centre for Global Health Research, Climate and Human Health Research Unit, P.O. Box 1578, Kisumu, Kenya.
Mohammed Y SaidC&E Advisory Kenya, P.O. Box 76406-00508, Nairobi, Kenya.
Lucy KamauKenyatta University, P.O. Box 43844, Nairobi, Kenya.
Didacus NamanyaUganda Ministry of Health, P.O. Box 7272, Kampala, Uganda.
Stella SimiyuC&E Advisory Kenya, P.O. Box 76406-00508, Nairobi, Kenya.
Stephen MutimbaC&E Advisory Kenya, P.O. Box 76406-00508, Nairobi, Kenya.
Kenyatta University · KEKenya Medical Research Institute · KEMinistry of Health · UGUniversity of Hohenheim · DEUniversity of Nairobi · KE

Funding

Deutsche Forschungsgemeinschaft Grant # 257734638Horizon 2020 Framework Programme grant agreement No. 641918
6 · The paper itself

Abstract

backgroundMalaria epidemics are increasing in East Africa since the 1980s, coincident with rising temperature and widening climate variability. A projected 1-3.5 °C rise in average global temperatures by 2100 could exacerbate the epidemics by modifying disease transmission thresholds. Future malaria scenarios for the Lake Victoria Basin (LVB) are quantified for projected climate scenarios spanning 2006-2100.

methodsRegression relationships are established between historical (1995-2010) clinical malaria and anaemia cases and rainfall and temperature for four East African malaria hotspots. The vector autoregressive moving average processes model, VARMAX (p,q,s), is then used to forecast malaria and anaemia responses to rainfall and temperatures projected with an ensemble of eight General Circulation Models (GCMs) for climate change scenarios defined by three Representative Concentration Pathways (RCPs 2.6, 4.5 and 8.5).

resultsMaximum temperatures in the long rainy (March-May) and dry (June-September) seasons will likely increase by over 2.0 °C by 2070, relative to 1971-2000, under RCPs 4.5 and 8.5. Minimum temperatures (June-September) will likely increase by over 1.5-3.0 °C under RCPs 2.6, 4.5 and 8.5. The short rains (OND) will likely increase more than the long rains (MAM) by the 2050s and 2070s under RCPs 4.5 and 8.5. Historical malaria cases are positively and linearly related to the 3-6-month running means of monthly rainfall and maximum temperature. Marked variation characterizes the patterns projected for each of the three scenarios across the eight General Circulation Models, reaffirming the importance of using an ensemble of models for projections.

conclusionsThe short rains (OND), wet season (MAM) temperatures and clinical malaria cases will likely increase in the Lake Victoria Basin. Climate change adaptation and mitigation strategies, including malaria control interventions could reduce the projected epidemics and cases. Interventions should reduce emerging risks, human vulnerability and environmental suitability for malaria transmission.

Indexed as

Climate ChangeMalariaForecastingHumansLakesTemperatureClimate changeMalariaRegionalized climate projections

Identifiers

PMID35962265
PMCPMC9705490
OpenAlexW4290878930

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.