Evidence map›Paper›PMID 33250552›Full record

ArticleWorld development2021

Localising Public Health: Refugee-led organisations as first and last responders in COVID-19.

Alexander Betts, Evan Easton-Calabria, Kate Pincock

Open access · greenAbstract read
In one paragraph

Article in World development, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Refugees and Covid-19: Beyond Health Risks to Insecurity.Schweizerische Zeitschrift fur Politikwissenschaft = Revue suisse de science politique = Swiss political science review · 2021
    Article
  7. Review
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

3 authors at 1 institution in 1 country.

Alexander BettsUniversity of Oxford, UK.
Evan Easton-CalabriaUniversity of Oxford, UK.
Kate PincockUniversity of Oxford, UK.
University of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic and ensuing socioeconomic impact on already marginalised refugee communities demonstrate both the need for, and lack of, localisation in humanitarian and development responses. Our research with organisations founded and led by refugees, termed here refugee-led organisations (RLOs), in camps and cities in Kenya and Uganda shows their potential to be an asset in the response to COVID-19 and in contributing to more effective and participatory forms of humanitarian assistance. In this research note we draw on pre-pandemic research with around 80 RLOs and follow-up research with 15 in Uganda and Kenya who are actively responding to the pandemic and its effects. We identify five key areas in which refugees are or could be involved as responders to COVID-19 and other pandemics: providing public information, supplementing capacity gaps, healthcare delivery, shaping social norms, and virus tracking and contact tracing. Our research during COVID-19 shows how RLOs have pivoted their existing service provision to fill assistance gaps, including in areas directly related to public health. As the humanitarian system searches for ways to implement remote and participatory approaches to refugee assistance, RLOs offer great potential, if mechanisms can be found to identify those that are effective, provide them with funding, and build their capacities.

Indexed as

COVID-19East AfricaLocalisationParticipatory assistanceRefugee-led organisationsRefugee Studies

Identifiers

PMID33250552
PMCPMC7685637
OpenAlexW3107953590

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.