README

Dataset Title

Elevating Community Voices in One Health: Application of the Community Zoonoses Prioritization Tool in Somalia

Citation

Mumin, F. I., & Mor, S. M. (2026). Elevating Community Voices in One Health: Application of the Community Zoonoses Prioritization Tool in Somalia. Available at SSRN 6202327.

Authors

Farah Isse Mumin
Sharon M. Mor

Dataset Description

The deposited dataset comprises a single consolidated Microsoft Excel (.xlsx) file containing anonymised and harmonised data generated through the application of the Community Zoonoses Prioritization (CZP) tool in Somalia.

The consolidated dataset was created by extracting and combining outputs from 40 community prioritisation exercises conducted in pastoral and agro-pastoral communities across four regions of Somalia.

File Included

Consolidated Dataset

File: CZP_Somalia_Consolidated_Dataset.xlsx

This file contains extracted and harmonised data from all community prioritisation exercises included in the study.


Keywords

One Health; Community Zoonoses Prioritization; Participatory Epidemiology; Zoonoses; Somalia

Abstract

Background

Pastoral and agro-pastoral communities in Somalia face zoonotic risks due to close human–livestock contact and high exposure to vectors and contaminated water sources, yet they have been structurally excluded from national health planning. We applied the Community Zoonoses Prioritization (CZP) tool to identify and rank community-prioritised zoonoses, assess alignment with national priorities and test feasibility and utility in a fragile, conflict-affected setting.

Methods

Between April and October 2024, we conducted 40 gender-segregated CZP exercises, engaging a convenience sample of 480 pastoral and agro-pastoral participants (240 men, 240 women) across four purposively selected regions of Somalia (Bari, Sool, Middle Shabelle, and Gedo). Communities were guided through a six-step procedure involving general health problems mapping; zoonoses listing; criteria selection and weighting; disease scoring; identification of actions and responsible actors; and contextualisation within broader health concerns. Kendall's W was used to assess within-group agreement while Kendall's τ was used to examine correlations between genders and regions.

Findings

Communities identified 26 zoonoses and related conditions. Top priorities were anthrax, bovine tuberculosis, brucellosis, child diarrhoea from raw milk, toxoplasmosis and sarcoptic mange. Agreement was strong within male (W=0.659, p<0.001) and female groups (W=0.614, p<0.001), and within regions (W=0.599–0.763, p<0.001). Correlation was high between male and female groups (τ=0.882, p<0.001) and moderate-to-high between regions (τ=0.600–0.854, p<0.001). Gender differences emerged in criteria weighting, actions, and responsibility attribution. Zoonoses received lower priority scores than human and animal health problems when contextualised.

Interpretation

Structured community discussions can generate reproducible, policy-relevant evidence on priority zoonoses. Community priorities diverged from national assessments, reflecting livelihood-based and local concerns. Integrating community-level prioritization into One Health planning would enhance intervention relevance, legitimacy, and sustainability in Somalia and similar settings.

Ethical Considerations

The dataset contains anonymised community-level data and does not include personal identifiers. It is shared to support transparency, reproducibility and secondary analysis of community-centred approaches to zoonotic disease prioritisation and One Health planning.