Evidence map›Paper›PMID 36504524›Full record

ArticleClimate services2022

Improved sub-seasonal forecasts to support preparedness action for meningitis outbreak in Africa.

Cheikh Dione, Joshua Talib, Ado M Bwaka, André F Kamga, André A Bita Fouda, Linda Hirons, Anderson Latt, Elisabeth Thompson, Clement Lingani, Victor Savatia Indasi and 2 more

Abstract read
In one paragraph

Article in Climate services, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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

12 authors.

Cheikh DioneAfrican Centre of Meteorological Applications for Development (ACMAD), Niamey, Niger.
Joshua TalibUK Centre for Ecology and Hydrology (UKCEH), Wallingford, United Kingdom.
Ado M BwakaWorld Health Organization, Intercountry Support Team, Ouagadougou, Burkina Faso.
André F KamgaAfrican Centre of Meteorological Applications for Development (ACMAD), Niamey, Niger.
André A Bita FoudaWorld Health Organization, Regional Office for Africa, Brazzaville, Congo.
Linda HironsNational Centre for Atmospheric Science (NCAS), University of Reading, United Kingdom.
Anderson LattWorld Health Organization, Emergencies hub Dakar, Senegal.
Elisabeth ThompsonNational Centre for Atmospheric Science (NCAS), University of Reading, United Kingdom.
Clement LinganiWorld Health Organization, Intercountry Support Team, Ouagadougou, Burkina Faso.
Victor Savatia IndasiAfrican Centre of Meteorological Applications for Development (ACMAD), Niamey, Niger.
Elijah A AdefisanAfrican Centre of Meteorological Applications for Development (ACMAD), Niamey, Niger.
Steve J WoolnoughNational Centre for Atmospheric Science (NCAS), University of Reading, United Kingdom.

Funding

World Health Organization 001
6 · The paper itself

Abstract

West African countries are hit annually by meningitis outbreaks which occur during the dry season and are linked to atmospheric variability. This paper describes an innovative co-production process between the African Centre of Meteorological Applications for Development (ACMAD; forecast producer) and the World Health Organisation Regional Office for Africa (WHO AFRO; forecast user) to support awareness, preparedness and response actions for meningitis outbreaks. Using sub-seasonal to seasonal (S2S) forecasts, this co-production enables ACMAD and WHO AFRO to build initiative that increases the production of useful climate services in the health sector. Temperature and relative humidity forecasts are combined with dust forecasts to operationalize a meningitis early warning system (MEWS) across the African meningitis belt with a two-week lead time. To prevent and control meningitis, the MEWS is produced from week 1 to 26 of the year. This study demonstrates that S2S forecasts have good skill at predicting dry and warm atmospheric conditions precede meningitis outbreaks. Vigilance levels objectively defined within the MEWS are consistent with reported cases of meningitis. Alongside developing a MEWS, the co-production process provided a framework for analysis of climate and environmental risks based on reanalysis data, meningitis burden, and health service assessment, to support the development of a qualitative roadmap of country prioritization for defeating meningitis by 2030 across the WHO African region. The roadmap has enabled the identification of countries most vulnerable to meningitis epidemics, and in the context of climate change, supports plans for preventing, preparing, and responding to meningitis outbreaks.

Indexed as

African meningitis beltCo-productionMeningitis early warning systemMeningitis outbreakS2S forecast data

Identifiers

PMID36504524
PMCPMC9729499

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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.