Evidence map›Paper›PMID 35967834›Full record

ArticleGlobal implementation research and applications2022

Challenges in Implementing the National Health Response to COVID-19 in Senegal.

Valéry Ridde, Adama Faye

Open access · bronzeAbstract read
In one paragraph

Article in Global implementation research and applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

2 authors at 2 institutions in 2 countries.

Valéry RiddeInstitute of Health and Development (ISED), Cheikh Anta Diop University, Dakar, Senegal.ORCID 0000-0001-9299-8266
Adama FayeInstitute of Health and Development (ISED), Cheikh Anta Diop University, Dakar, Senegal.
Cheikh Anta Diop University · SNInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the beginning of the COVID-19 pandemic in Africa, many epidemiological or anthropological studies have been published. However, few studies have yet been conducted to understand the implementation of State interventions to fight the COVID-19 pandemic. In Senegal, the national response plan was planned before the country experienced its first official case of COVID-19 on 2 March 2020. This qualitative study, conducted in March and April 2021, based on 189 interviews, aims to understand how the national response has been implemented in several regions of Senegal. Implementation of the response to the pandemic was favoured by good preparation, capacity to adapt, responsiveness of health actors, and commitment for both the political and religious authorities. The implementation response was confronted by several constraining factors such as the coercive approach, the challenges of coordinating actors, and the lack of intersectoral response. The central level has sometimes used reflexivity processes to adapt its response, but it has remained highly politicized, centralized, directive, and with little involvement of civil society. In Senegal, the response to the pandemic has been implemented in a relatively political and directive, even coercive manner, without necessarily considering prior knowledge and the need to adapt it to local contexts and to involve civil society and community actors in the process. Supplementary Information: The online version contains supplementary material available at 10.1007/s43477-022-00053-4.

Indexed as

COVID-19ImplementationPolicyResponseSenegal

Identifiers

PMID35967834
PMCPMC9361250
OpenAlexW4292075189

What OpenQuestion holds

Textmetadata
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.