Evidence map›Paper›PMID 38857944›Full record

ArticleBMJ global health2024

Widening geographic range of Rift Valley fever disease clusters associated with climate change in East Africa.

Silvia Situma, Luke Nyakarahuka, Evans Omondi, Marianne Mureithi, Marshal Mutinda Mweu, Matthew Muturi, Athman Mwatondo, Jeanette Dawa, Limbaso Konongoi, Samoel Khamadi and 11 more

Abstract read
In one paragraph

Article in BMJ global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–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

20 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Silvia SitumaWashington State University Global Health Program-Kenya, Nairobi, Kenya.
Luke NyakarahukaUganda Virus Research Institute, Entebbe, Uganda.
Evans OmondiAfrican Population and Health Research Center, Nairobi, Kenya.
Marianne MureithiUniversity of Nairobi, Faculty of Health Sciences, Nairobi, Kenya.
Marshal Mutinda MweuUniversity of Nairobi, Faculty of Health Sciences, Nairobi, Kenya.
Matthew MuturiKenya Zoonotic Disease Unit, Nairobi, Kenya.
Athman MwatondoKenya Zoonotic Disease Unit, Nairobi, Kenya.
Jeanette DawaWashington State University Global Health Program-Kenya, Nairobi, Kenya.
Limbaso KonongoiKenya Medical Research Institute, Nairobi, Kenya.
Samoel KhamadiKenya Medical Research Institute, Nairobi, Kenya.
Erin ClanceyWashington State University, Pullman, Washington, USA.
Eric LofgrenWashington State University, Pullman, Washington, USA.
Eric OsoroWashington State University Global Health Program-Kenya, Nairobi, Kenya.
Isaac NgereWashington State University Global Health Program-Kenya, Nairobi, Kenya.
Robert F BreimanEmory University, Atlanta, Georgia, USA.
Barnabas BakamutumahoUganda Virus Research Institute, Entebbe, Uganda.
Allan MurutaMinistry of Health, Kampala, Uganda.
John GachohiWashington State University Global Health Program-Kenya, Nairobi, Kenya.
Samuel O OyolaInternational Livestock Research Institute, Nairobi, Kenya.
M Kariuki Njenga *Washington State University Global Health Program-Kenya, Nairobi, Kenya mkariuki.njenga@wsu.edu.ORCID http://orcid.org/0000-0002-7629-7002
Deepti Singh *Washington State University, Pullman, Washington, USA.

Funding

Emerging Infectious Diseases Research Center - East and Central AfricaU01AI151799 · NIAID · WASHINGTON STATE UNIVERSITY · PI M KARIUKI NJENGA · 2020 to 2026
$10.4M
Zoonotic and Emerging Infectious Diseases Training ProgramD43TW011519 · FIC · WASHINGTON STATE UNIVERSITY · PI Walter Godfrey Jaoko, Thumbi Mwangi · 2020 to 2026
$1.2M
FIC NIH HHS D43 TW011519NIAID NIH HHS U01 AI151799
6 · The paper itself

Abstract

backgroundRecent epidemiology of Rift Valley fever (RVF) disease in Africa suggests growing frequency and expanding geographic range of small disease clusters in regions that previously had not reported the disease. We investigated factors associated with the phenomenon by characterising recent RVF disease events in East Africa.

methodsData on 100 disease events (2008-2022) from Kenya, Uganda and Tanzania were obtained from public databases and institutions, and modelled against possible geoecological risk factors of occurrence including altitude, soil type, rainfall/precipitation, temperature, normalised difference vegetation index (NDVI), livestock production system, land-use change and long-term climatic variations. Decadal climatic variations between 1980 and 2022 were evaluated for association with the changing disease pattern.

resultsOf 100 events, 91% were small RVF clusters with a median of one human (IQR, 1-3) and three livestock cases (IQR, 2-7). These clusters exhibited minimal human mortality (IQR, 0-1), and occurred primarily in highlands (67%), with 35% reported in areas that had never reported RVF disease. Multivariate regression analysis of geoecological variables showed a positive correlation between occurrence and increasing temperature and rainfall. A 1°C increase in temperature and a 1-unit increase in NDVI, one months prior were associated with increased RVF incidence rate ratios of 1.20 (95% CI 1.1, 1.2) and 1.93 (95% CI 1.01, 3.71), respectively. Long-term climatic trends showed a significant decadal increase in annual mean temperature (0.12-0.3°C/decade, p<0.05), associated with decreasing rainfall in arid and semi-arid lowlands but increasing rainfall trends in highlands (p<0.05). These hotter and wetter highlands showed increasing frequency of RVF clusters, accounting for 76% and 43% in Uganda and Kenya, respectively.

conclusionThese findings demonstrate the changing epidemiology of RVF disease. The widening geographic range of disease is associated with climatic variations, with the likely impact of wider dispersal of virus to new areas of endemicity and future epidemics.

Indexed as

Climate ChangeRift Valley FeverAfrica, EasternAnimalsCluster AnalysisDisease OutbreaksHumansKenyaLivestockRisk FactorsUgandaGlobal HealthPublic HealthViral haemorrhagic fevers

Identifiers

PMID38857944
PMCPMC11168176

What OpenQuestion holds

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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.