Evidence map›Paper›PMID 34966802›Full record

ArticleFrontiers in veterinary science2021

Leveraging Sub-national Collaboration and Influence for Improving Animal Health Surveillance and Response: A Stakeholder Mapping in Tanzania.

Janeth George, Barbara Häsler, Erick V G Komba, Calvin Sindato, Mark Rweyemamu, Sharadhuli I Kimera, James E D Mlangwa

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Janeth GeorgeDepartment of Veterinary Medicine and Public Health, Sokoine University of Agriculture, Morogoro, Tanzania.
Barbara HäslerDepartment of Pathobiology and Population Sciences, Veterinary Epidemiology, Economics, and Public Health Group, Royal Veterinary College, Hatfield, United Kingdom.
Erick V G KombaDepartment of Veterinary Medicine and Public Health, Sokoine University of Agriculture, Morogoro, Tanzania.
Calvin SindatoSACIDS Foundation for One Health, Sokoine University of Agriculture, Morogoro, Tanzania.
Mark RweyemamuSACIDS Foundation for One Health, Sokoine University of Agriculture, Morogoro, Tanzania.
Sharadhuli I KimeraDepartment of Veterinary Medicine and Public Health, Sokoine University of Agriculture, Morogoro, Tanzania.
James E D MlangwaDepartment of Veterinary Medicine and Public Health, Sokoine University of Agriculture, Morogoro, Tanzania.
Sokoine University of Agriculture · TZSouthern African Centre for Infectious Disease Surveillance · TZRoyal Veterinary College · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal health surveillance plays a vital role in ensuring public health, animal welfare, and sustainable food production by monitoring disease trends, early detecting (new) hazards, facilitating disease control and infection, and providing data for risk analysis. Good stakeholder collaboration across the sector can lead to better communication, better science and decision-making and more effective surveillance and response. An understanding of relevant stakeholders, their interests and their power can facilitate such collaboration. While information on key stakeholders in animal health surveillance is available at the national level in Tanzania, it is missing at the subnational level. The study aimed to explore the existing stakeholders' collaborations and influences at the subnational level through stakeholder mapping and to determine potential leverage points for improving the national animal health surveillance system. A qualitative design was used, involving consultative workshops with government animal health practitioners in Sumbawanga, Sikonge and Kilombero districts of Tanzania from December 2020 to January 2021. Data were collected using an adapted USAID stakeholder collaboration mapping tool with the following steps: (i) Define the objective (ii) Identify all stakeholders (iii) Take stock of the current relationships (iv) Determine resource-based influence (v) Determine non-resource based influence and (vi) Review and revise the collaboration map. Forty-five stakeholders were identified in all three districts and grouped into four categories: private sector and non-government organizations (

Indexed as

animal health surveillancecollaborationstakeholder analysisstakeholder influencestakeholder mappingTanzania

Identifiers

PMID34966802
PMCPMC8710487
OpenAlexW4200014209

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.