Health Care Providers’ Knowledge and Practice Gap towards Joint Zoonotic Disease Surveillance System: Challenges and Opportunities, Gomma District, Southwest Ethiopia

Gemeda, Desta Hiko; Sime, Abiot Girma; Hajito, Kifle Woldemichael; Gelalacha, Benti Deresa; Tafese, Wubit; Gebrehiwot, Tsegaye Tewelde

doi:10.1155/2016/3942672

Cited by 11 publications

(10 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…S1 – S5 ) 57 . Jointly responding to outbreaks may reduce costs and foster collaboration between sectors 56 , as has been seen during investigations of monkeypox 58 , leptospirosis 59 , Rift Valley fever 60 , and anthrax and rabies 61 (Fig. 3 and Supplementary Figs.…”

Section: Methodsmentioning

confidence: 99%

A generalizable one health framework for the control of zoonotic diseases

Ghai

Wallace

Kile

et al. 2022

Sci Rep

View full text Add to dashboard Cite

Effectively preventing and controlling zoonotic diseases requires a One Health approach that involves collaboration across sectors responsible for human health, animal health (both domestic and wildlife), and the environment, as well as other partners. Here we describe the Generalizable One Health Framework (GOHF), a five-step framework that provides structure for using a One Health approach in zoonotic disease programs being implemented at the local, sub-national, national, regional, or international level. Part of the framework is a toolkit that compiles existing resources and presents them following a stepwise schematic, allowing users to identify relevant resources as they are required. Coupled with recommendations for implementing a One Health approach for zoonotic disease prevention and control in technical domains including laboratory, surveillance, preparedness and response, this framework can mobilize One Health and thereby enhance and guide capacity building to combat zoonotic disease threats at the human–animal–environment interface.

show abstract

Section: Methodsmentioning

confidence: 99%

A generalizable one health framework for the control of zoonotic diseases

Ghai

Wallace

Kile

et al. 2022

Sci Rep

View full text Add to dashboard Cite

show abstract

“…For example, one scenario stated that clinicians in a low-prevalence zone had limited ability to recognize questionable patients, and so on. Medical students lack comprehension of zoonoses, according to research ( 54 ), and there is a link between relative knowledge of different diseases and the frequency or recognition in everyday practice ( 55 ).…”

Section: Discussionmentioning

confidence: 99%

Assessment of the Current Surveillance System for Human Leptospirosis in Ecuador by Decision Analytic Modeling

Calero

Monti

2022

Front. Public Health

View full text Add to dashboard Cite

Leptospirosis is a globally disseminated zoonotic disease with no national surveillance systems. On the other hand, surveillance is crucial for improving population health, and surveillance systems produce data that motivates action. Unfortunately, like many other countries, Ecuador put in place a monitoring system that has never been tested. The goal of this study was to use scenario tree modeling to assess the sensitivity of Ecuador's current national surveillance system to human leptospirosis as the basis for an economic assessment of the system. We created a decision-tree model to analyze the current system's sensitivity. The inputs were described as probabilities distributions, and the model assessed the program's sensitivity as an output. The model also considers the geographical and weather variations across Ecuador's three continental regions: Andean, Amazonia, and the Coast. Several data sources were used to create the model, including leptospirosis records from Ecuador's Ministry of Public Health, national and international literature, and expert elicitation, all of which were incorporated in a Bayesian framework. We were able to determine the most critical parameters influencing each scenario's output (CSU) sensitivity through sensitivity analysis. The Coast region had the best sensitivity scenario, with a median of 0.85% (IC 95% 0.41–0.99), followed by the Amazonia with a median of 0.54% (CI 95% 0.18–0.99) and the Andes with a median of 0.29% (CI 95% 0.02–0.89). As per the sensitivity study, the most influential criteria on the system's sensitivity were “Attendance or probability of going to a health center” and “probability of having symptoms,” notably for the Coast and Amazonia Regions.

show abstract

“…Studies have shown that proper and timely diagnosis is one of the major attributes for prevention, control and treatment of human and animal anthrax and controlling epidemics. Studies conducted in Ethiopia have highlighted the importance of early diagnosis and care for controlling disease and preventing the spread of undiagnosed cases 14 15 . Capacity building and training for staffs for the identification of clinical cases is important especially in remote areas.…”

Section: Discussionmentioning

confidence: 99%