Evidence map›Paper›PMID 35643550›Full record

ReviewBMC health services research2022

Coordination mechanisms for COVID-19 in the WHO Regional office for Africa.

Nsenga Ngoy, Boniface Oyugi, Paul O Ouma, Ishata Nannie Conteh, Solomon Fisseha Woldetsadik, Miriam Nanyunja, Joseph Chukwudi Okeibunor, Zabulon Yoti, Abdou Salam Gueye

Abstract readReview
In one paragraph

Review in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

9 authors.

Nsenga NgoyWorld Health Organisation, Regional Office for Africa, Emergency Preparedness and Response Programme, Brazzaville, Congo.
Boniface OyugiWorld Health Organisation, Regional Office for Africa, Emergency Preparedness and Response Programme, Brazzaville, Congo.
Paul O OumaWorld Health Organisation, Regional Office for Africa, Emergency Preparedness and Response Programme, Nairobi, Hub, Kenya.
Ishata Nannie ContehWorld Health Organisation, Regional Office for Africa, Emergency Preparedness and Response Programme, Brazzaville, Congo.
Solomon Fisseha WoldetsadikWorld Health Organisation, Regional Office for Africa, Emergency Preparedness and Response Programme, Nairobi, Hub, Kenya.
Miriam NanyunjaWorld Health Organisation, Regional Office for Africa, Emergency Preparedness and Response Programme, Nairobi, Hub, Kenya.
Joseph Chukwudi OkeibunorWorld Health Organisation, Regional Office for Africa, Emergency Preparedness and Response Programme, Brazzaville, Congo. okeibunorj@who.int.
Zabulon YotiWorld Health Organisation, Regional Office for Africa, Emergency Preparedness and Response Programme, Brazzaville, Congo.
Abdou Salam GueyeWorld Health Organisation, Regional Office for Africa, Emergency Preparedness and Response Programme, Brazzaville, Congo.

Funding

World Health Organization 001
6 · The paper itself

Abstract

aimThis study describes the coordination mechanisms that have been used for management of the COVID 19 pandemic in the WHO AFRO region; relate the patterns of the disease (length of time between onset of coordination and first case; length of the wave of the disease and peak attack rate) to coordination mechanisms established at the national level, and document best practices and lessons learned.

methodWe did a retrospective policy tracing of the COVID-19 coordination mechanisms from March 2020 (when first cases of COVID-19 in the AFRO region were reported) to the end of the third wave in September 2021. Data sources were from document and Literature review of COVID-19 response strategies, plans, regulations, press releases, government websites, grey and peer-reviewed literature. The data was extracted to Excel file database and coded then analysed using Stata (version 15). Analysis was done through descriptive statistical analysis (using measures of central tendencies (mean, SD, and median) and measures of central dispersion (range)), multiple linear regression, and thematic analysis of qualitative data.

resultsThere are three distinct layered coordination mechanisms (strategic, operational, and tactical) that were either implemented singularly or in tandem with another coordination mechanism. 87.23% (n = 41) of the countries initiated strategic coordination, and 59.57% (n = 28) initiated some form of operational coordination. Some of countries (n = 26,55.32%) provided operational coordination using functional Public Health Emergency Operation Centres (PHEOCs) which were activated for the response. 31.91% (n = 15) of the countries initiated some form of tactical coordination which involved the decentralisation of the operations at the local/grassroot level/district/ county levels. Decentralisation strategies played a key role in coordination, as was the innovative strategies by the countries; some coordination mechanisms built on already existing coordination systems and the heads of states were effective in the success of the coordination process. Financing posed challenge to majority of the countries in initiating coordination.

conclusionCoordinating an emergency is a multidimensional process that includes having decision-makers and institutional agents define and prioritise policies and norms that contain the spread of the disease, regulate activities and behaviour and citizens, and respond to personnel who coordinate prevention.

Indexed as

COVID-19AfricaHumansPublic HealthRetrospective StudiesWorld Health OrganizationCoordination MechanismCOVID-19Health EmergenciesPandemic ManagementWHO Regional Office for Africa

Identifiers

PMID35643550
PMCPMC9142827

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.