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Assessment of performance for a key indicator of One Health: evidence based on One Health index for zoonoses in Sub-Saharan Africa.
Zhao, Han-Qing; Fei, Si-Wei; Yin, Jing-Xian; Li, Qin; Jiang, Tian-Ge; Guo, Zhao-Yu; Xue, Jing-Bo; Han, Le-Fei; Zhang, Xiao-Xi; Xia, Shang; Zhang, Yi; Guo, Xiao-Kui; Kassegne, Kokouvi.
  • Zhao HQ; Department of Infectious and Tropical Diseases, School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
  • Fei SW; One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 200025, People's Republic of China.
  • Yin JX; Department of Infectious and Tropical Diseases, School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
  • Li Q; One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 200025, People's Republic of China.
  • Jiang TG; Department of Infectious and Tropical Diseases, School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
  • Guo ZY; One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 200025, People's Republic of China.
  • Xue JB; National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission of the People's Republic of China (NHC) Key Laboratory of Parasite and Vector Biology, WHO Collaborating Center for Tropical Disea
  • Han LF; Department of Infectious and Tropical Diseases, School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
  • Zhang XX; One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 200025, People's Republic of China.
  • Xia S; National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission of the People's Republic of China (NHC) Key Laboratory of Parasite and Vector Biology, WHO Collaborating Center for Tropical Disea
  • Zhang Y; National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission of the People's Republic of China (NHC) Key Laboratory of Parasite and Vector Biology, WHO Collaborating Center for Tropical Disea
  • Guo XK; Department of Infectious and Tropical Diseases, School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
  • Kassegne K; One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 200025, People's Republic of China.
Infect Dis Poverty ; 11(1): 109, 2022 Oct 22.
Article en En | MEDLINE | ID: mdl-36273213
ABSTRACT

BACKGROUND:

Zoonoses 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.

METHODS:

The 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.

RESULTS:

Overall, 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.

CONCLUSIONS:

This 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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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Salud Única Tipo de estudio: Qualitative_research Límite: Animals País como asunto: Africa Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Salud Única Tipo de estudio: Qualitative_research Límite: Animals País como asunto: Africa Idioma: En Año: 2022 Tipo del documento: Article