Evidence map›Paper›PMID 39639947›Full record

ArticleIJID regions2024

Characterization of population connectivity for enhanced cross-border surveillance of yellow fever at Mutukula and Namanga borders in Tanzania.

Remidius Kamuhabwa Kakulu, Mwanahamis Miraji Msuya, Said Hussein Makora, Athanas Machiya Lucas, Josephine Vitus Kapinga, Nisalile Kajobile Mwangoka, Kanan Mehta, Elvira McIntyre, Alexandra Boos, Gabriella S Lamb and 8 more

Abstract read
In one paragraph

Article in IJID regions, 2024. 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
–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

2 citing papers in PubMed.

  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

18 authors.

Remidius Kamuhabwa KakuluNelson Mandela African Institution of Science and Technology (NM-AIST), School of Life Sciences and Bioengineering, Department of Health and Biomedical Sciences, Arusha, Tanzania.
Mwanahamis Miraji MsuyaMinistry of Health, Department of Preventive Services, Dodoma, Tanzania.
Said Hussein MakoraMinistry of Health, Department of Preventive Services, Dodoma, Tanzania.
Athanas Machiya LucasMinistry of Health, Department of Preventive Services, Dodoma, Tanzania.
Josephine Vitus KapingaMinistry of Health, Department of Preventive Services, Dodoma, Tanzania.
Nisalile Kajobile MwangokaMinistry of Health, Department of Preventive Services, Dodoma, Tanzania.
Kanan MehtaCenters for Disease Control and Prevention, Atlanta, USA.
Elvira McIntyreCenters for Disease Control and Prevention, Atlanta, USA.
Alexandra BoosCenters for Disease Control and Prevention, Atlanta, USA.
Gabriella S LambCenters for Disease Control and Prevention, Atlanta, USA.
Marcelina MponelaCenters for Disease Control and Prevention, Atlanta, USA.
Wangeci GateiCenters for Disease Control and Prevention, Atlanta, USA.
Rebecca MerrillCenters for Disease Control and Prevention, Atlanta, USA.
Sarah WardCenters for Disease Control and Prevention, Atlanta, USA.
Amour SelemanMinistry of Health, Department of Preventive Services, Dodoma, Tanzania.
Khalid MassaMinistry of Health, Department of Preventive Services, Dodoma, Tanzania.
Esther Gwae KimaroNelson Mandela African Institution of Science and Technology (NM-AIST), School of Life Sciences and Bioengineering, Department of Health and Biomedical Sciences, Arusha, Tanzania.
Emmanuel Abraham MpolyaNelson Mandela African Institution of Science and Technology (NM-AIST), School of Life Sciences and Bioengineering, Department of Health and Biomedical Sciences, Arusha, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Yellow fever (YF) remains a public health threat in Sub-Saharan Africa and South America, with an estimated 200,000 cases and 30,000 deaths annually. Although the World Health Organization considers Tanzania to be at low risk for YF because no YF cases have been reported, the country remains at alert to importation of the virus due to ecological factors and high connectivity to high-risk YF areas in other countries. This study aimed to identify points of interest with connectivity to high-risk YF areas to guide preparedness efforts in Tanzania. Methods: Using the Population Connectivity Across Borders (PopCAB) toolkit, the Nelson Mandela African Institution of Science and Technology (Department of Health and Biomedical Sciences), in collaboration with the Tanzania Ministry of Health and the Centers for Disease Control and Prevention, implemented 12 focus group discussions with participatory mapping in two high-risk borders of Mutukula and Namanga. Results: Participants identified 147 and 90 points of interest with connectivity to YF risk areas in Kenya and Uganda, respectively. The identified locations are important for trade, fishing, pastoralism, tourism, health-seeking, agriculture, mining, religious activities, education, and cross-border marriages. Conclusions: The Tanzania Ministry of Health used the results to update cross-border surveillance and risk communication strategies and vaccination guidelines to prevent the importation of YF into Tanzania.

Indexed as

Border healthCross-border surveillancePopulation movementYellow fever

Identifiers

PMID39639947
PMCPMC11618027

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.