ArticleInfectious diseases of poverty2022
Assessment of performance for a key indicator of One Health: evidence based on One Health index for zoonoses in Sub-Saharan Africa.
Article in Infectious diseases of poverty, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.
- Increased interleukin-6 is associated with long COVID-19: a systematic review and meta-analysis.Infectious diseases of poverty · 2023Pooled it
- Toward One Health: a spatial indicator system to model the facilitation of the spread of zoonotic diseases.Frontiers in public health · 2023Pooled it
- One Health Approaches to Ethical, Secure, and Sustainable Food Systems and Ecosystems: Plant-Based Diets and Livestock in the African Context.Foods (Basel, Switzerland) · 2025Review
- Adaptation of global One Health evaluation framework to municipal levels in Fukuoka, Japan.Infectious diseases of poverty · 2025Article
- Gaps and opportunities for data systems and economics to support priority setting for climate-sensitive infectious diseases in sub-Saharan Africa: A rapid scoping review.PLOS global public health · 2025Article
- Celebrating three years ofScience in One Health · 2025Article
- Nomenclature for human and animal fungal pathogens and diseases: a proposal for standardized terminology.Journal of clinical microbiology · 2024Review
- Prevalence and attributable health burdens of vector-borne parasitic infectious diseases of poverty, 1990-2021: findings from the Global Burden of Disease Study 2021.Infectious diseases of poverty · 2024Article
- One Health Priorities: Advancing Veterinary Public Health in Latin America and the Caribbean.Pathogens (Basel, Switzerland) · 2024Article
- Bridging Food Systems and One Health: A key to preventing future pandemics?One health (Amsterdam, Netherlands) · 2024Review
- Global One Health index for zoonoses: A performance assessment in 160 countries and territories.iScience · 2024Article
- How far has the globe gone in achieving One Health? Current evidence and policy implications based on global One Health index.Science in One Health · 2024Article
- Global burden of HIV-negative multidrug- and extensively drug-resistant tuberculosis based on Global Burden of Disease Study 2021.Science in One Health · 2024Article
- China's application of the One Health approach in addressing public health threats at the human-animal-environment interface: Advances and challenges.One health (Amsterdam, Netherlands) · 2023Article
- Assessing food security performance from the One Health concept: an evaluation tool based on the Global One Health Index.Infectious diseases of poverty · 2023Article
- Assessment of integrated patterns of human-animal-environment health: a holistic and stratified analysis.Infectious diseases of poverty · 2023Article
- Multi-modal deep learning based on multi-dimensional and multi-level temporal data can enhance the prognostic prediction for multi-drug resistant pulmonary tuberculosis patients.Science in One Health · 2022Review
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Authors and funding
13 authors at 2 institutions in 2 countries.
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Abstract
backgroundZoonoses are public health threats that cause severe damage worldwide. Zoonoses constitute a key indicator of One Health (OH) and the OH approach is being applied for zoonosis control programmes of zoonotic diseases. In a very recent study, we developed an evaluation system for OH performance through the global OH index (GOHI). This study applied the GOHI to evaluate OH performance for zoonoses in sub-Saharan Africa.
methodsThe framework for the OH index on zoonoses (OHIZ) was constructed including five indicators, 15 subindicators and 28 datasets. Publicly available data were referenced to generate the OHIZ database which included both qualitative and quantitative indicators for all sub-Sahara African countries (n = 48). The GOHI algorithm was used to estimate scores for OHIZ. Indicator weights were calculated by adopting the fuzzy analytical hierarchy process.
resultsOverall, five indicators associated with weights were generated as follows: source of infection (23.70%), route of transmission (25.31%), targeted population (19.09%), capacity building (16.77%), and outcomes/case studies (15.13%). Following the indicators, a total of 37 sub-Sahara African countries aligned with OHIZ validation, while 11 territories were excluded for unfit or missing data. The OHIZ average score of sub-Saharan Africa was estimated at 53.67/100. The highest score was 71.99 from South Africa, while the lowest score was 40.51 from Benin. It is also worth mentioning that Sub-Sahara African countries had high performance in many subindicators associated with zoonoses, e.g., surveillance and response, vector and reservoir interventions, and natural protected areas, which suggests that this region had a certain capacity in control and prevention or responses to zoonotic events.
conclusionsThis study reveals that it is possible to perform OH evaluation for zoonoses in sub-Saharan Africa by OHIZ. Findings from this study provide preliminary research information in advancing knowledge of the evidenced risks to strengthen strategies for effective control of zoonoses and to support the prevention of zoonotic events.
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