Evidence map›Paper›PMID 33079032›Full record

ArticleEmerging infectious diseases2020

Measuring Timeliness of Outbreak Response in the World Health Organization African Region, 2017-2019.

Benido Impouma, Maroussia Roelens, George Sie Williams, Antoine Flahault, Claudia Torres Codeço, Fleury Moussana, Bridget Farham, Esther L Hamblion, Franck Mboussou, Olivia Keiser

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 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

10 authors.

Benido Impouma
Maroussia Roelens
George Sie Williams
Antoine Flahault
Claudia Torres Codeço
Fleury Moussana
Bridget Farham
Esther L Hamblion
Franck Mboussou
Olivia Keiser

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale protracted outbreaks can be prevented through early detection, notification, and rapid control. We assessed trends in timeliness of detecting and responding to outbreaks in the African Region reported to the World Health Organization during 2017-2019. We computed the median time to each outbreak milestone and assessed the rates of change over time using univariable and multivariable Cox proportional hazard regression analyses. We selected 296 outbreaks from 348 public reported health events and evaluated 184 for time to detection, 232 for time to notification, and 201 for time to end. Time to detection and end decreased over time, whereas time to notification increased. Multiple factors can account for these findings, including scaling up support to member states after the World Health Organization established its Health Emergencies Programme and support given to countries from donors and partners to strengthen their core capacities for meeting International Health Regulations.

Indexed as

Disease OutbreaksPublic HealthAfricaGlobal HealthHumansPopulation SurveillanceTime FactorsWorld Health Organizationcommunicable diseasesdisease outbreaksfoodborne diseasesIntegrated Disease Surveillance and Response strategyinternally-displaced populationsoutbreak responserefugee populationstime to controltime to detectiontime to notificationvaccine-preventable diseasesvector-borne diseaseswaterborne diseasesWHO African RegionWHO Health Emergencies ProgrammeWorld Health Organization

Identifiers

PMID33079032
PMCPMC7588517

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.