Evidence map›Paper›PMID 36502402›Full record

ReviewEmerging infectious diseases2022

Using Population Mobility Patterns to Adapt COVID-19 Response Strategies in 3 East Africa Countries.

Rebecca D Merrill, Fadhili Kilamile, Mwabi White, Daniel Eurien, Kanan Mehta, Joseph Ojwang, Marianne Laurent-Comlan, Peter Ahabwe Babigumira, Lydia Nakiire, Alexandra Boos and 18 more

Abstract readReview
In one paragraph

Review in Emerging infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Global Responses to the COVID-19 PandemicEmerging infectious diseases · 2022
    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

28 authors.

Rebecca D Merrill
Fadhili Kilamile
Mwabi White
Daniel Eurien
Kanan Mehta
Joseph Ojwang
Marianne Laurent-Comlan
Peter Ahabwe Babigumira
Lydia Nakiire
Alexandra Boos
Wangeci Gatei
Julie R Harris
Alain Magazani
Felix Ocom
Robert Ssekubugu
Godfrey Kigozi
Florent Senyana
Francis B Iyese
Peter James Elyanu
Sarah Ward
Issa Makumbi
Allan Muruta
Elvira McIntyre
Khalid Massa
Alex R Ario
Harriet Mayinja
Kakulu Remidius
Dede N Ndungi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic spread between neighboring countries through land, water, and air travel. Since May 2020, ministries of health for the Democratic Republic of the Congo, Tanzania, and Uganda have sought to clarify population movement patterns to improve their disease surveillance and pandemic response efforts. Ministry of Health-led teams completed focus group discussions with participatory mapping using country-adapted Population Connectivity Across Borders toolkits. They analyzed the qualitative and spatial data to prioritize locations for enhanced COVID-19 surveillance, community outreach, and cross-border collaboration. Each country employed varying toolkit strategies, but all countries applied the results to adapt their national and binational communicable disease response strategies during the pandemic, although the Democratic Republic of the Congo used only the raw data rather than generating datasets and digitized products. This 3-country comparison highlights how governments create preparedness and response strategies adapted to their unique sociocultural and cross-border dynamics to strengthen global health security.

Indexed as

Air TravelCommunicable DiseasesCOVID-19Democratic Republic of the CongoDisease OutbreaksHumansPandemicsborder crossingcommunity networkscoronavirus diseaseCOVID-19Democratic Republic of the CongoDRCinternational healthPopCABpopulation dynamicsrespiratory infectionsSARS-CoV-2severe acute respiratory syndrome coronavirus 2TanzaniaUgandaviruseszoonoses

Identifiers

PMID36502402
PMCPMC9745238

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.