The Concordance of Perception about Dog Bite Impacts and Practices after Dog Bite in Victims, Chiang Mai, Thailand: The Participatory One-Health Disease Detection (PODD) Project Setting Area

Animals ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 1790
Author(s):  
Tamara Riley ◽  
Raymond Lovett ◽  
Joanne Thandrayen ◽  
Bonny Cumming ◽  
Katherine A. Thurber

This study evaluated a community-driven animal health and management program in the remote community of Wadeye, Northern Territory. This evaluation used a pre-post design to assess changes in animal and human health outcomes over a 12-month period of program implementation, from June 2018 to June 2019. The evaluation assessed the program by comparing animal health outcomes before versus one year after program implementation and comparing human health outcomes before versus during the first 12 months of the program. Outcome measures included the desexing status of dogs and cats, body condition and hair score of dogs, and rates of people presenting to the health clinic for a dog bite. Animal health outcomes significantly improved after program implementation. From pre to post program, there was a 77% increase in the prevalence of good body condition score among dogs and a 9% increase in the prevalence of good hair score among dogs, and the prevalence of desexed dogs and cats more than doubled. There was no significant change in the number of people presenting to the health clinic for a dog bite. Consideration on how to further incorporate human and environmental health aspects into the program could be useful for future One Health programs.


2020 ◽  
Vol 43 (2) ◽  
pp. 19-20
Author(s):  
Dawn Rault ◽  
Melanie Rock ◽  
Morgan Mouton ◽  
Melissa Parkinson

Background Dog-bite injuries remain a perennial problem, especially in pediatric emergency services. Nonetheless, few researchers have examined how local-level policies may contribute to primary prevention. We do so with qualitative research and an emphasis on implementation. This study highlights the potential benefit of coordination in Alberta between municipalities and emergency health services.  Implementation This study mainly took place in the City of Calgary, which has earned a sterling reputation, in Canada and internationally, for the results of its animal-control policy in reducing dog-aggression incidents. We attribute part of this achievement to the high compliance of licensing in Calgary. The City estimates 80-90% of all dogs in Calgary have been licensed (by comparison, the City of Toronto estimates 35% compliance with mandatory licensing for dogs). The City of Calgary earmarks revenue from licensing for human-animal services, including public education, assessment of dogs’ behavior, and a state-of-the-art shelter oriented towards rehoming. Here, we frame the City of Calgary’s dog-aggression policy as a ‘One Health’ issue. This concept refers to human-animal-environment interdependencies as the basis for health. Whereas most One Health research has focused on preventing zoonotic infections or environmental toxins, our approach emphasizes health promotion, in which ‘caring for one’s self and others’ as the foundation for improving longevity and quality of life. Over the years, we have informed and learned from the City of Calgary’s implementation of its dog-aggression policy framework. Evaluation Methods Related research (Caffrey et al., 2019) has analyzed the City of Calgary’s administrative data on dog-bite incidents, statistically and spatially. Previously our team partnered with the Emergency Services Strategic Clinical Network on an analysis of emergency services utilization for dog-bite injuries across Alberta (Jelinski et al., 2016). We have also highlighted risks to occupational health and safety amongst officers who enforce dog-aggression policies, in Alberta and worldwide (Rault et al., 2018). In this presentation, we delve into how these officers act on municipal data when investigating dog-aggression incidents in the City of Calgary. Our main sources of information were semi-structured interviews and participant-observation. Results High compliance with dog-licensing bylaws in Calgary assists officers in efficiently locating dogs following a dog-aggression complaint. In turn, citizens lodge complaints because they view the City of Calgary’s human-animal services as effective and humane. References Caffrey, N., Rock, M., Schmidtz, O., Anderson, D., Parkinson, M., Checkley, S.L. Insights about the epidemiology of dog bites in a Canadian city using a dog aggression scale and administrative data. Animals, 9(6). doi: 10.3390/ani9060324.   Jelinski, S.E., Phillips, C., Doehler, M., Rock, M. (May, 2016). The epidemiology of emergency department visits for dog-related injuries in Alberta. Canadian Journal of Emergency Medicine, 18(S1). doi: 10.1017/cem.2016.68   Rault, D., Nowicki, S., Adams, C., Rock, M. (2018). To protect animals, first we must protect law enforcement officers. Journal of Animal and Natural Resource Law, XIV, pp.1-33.


2018 ◽  
Vol 4 (1) ◽  
pp. e25
Author(s):  
Terdsak Yano ◽  
Somphorn Phornwisetsirikun ◽  
Patipat Susumpow ◽  
Surasing Visrutaratna ◽  
Karoon Chanachai ◽  
...  

Author(s):  
Jessica S. Schwind ◽  
Stephanie A. Norman ◽  
Dibesh Karmacharya ◽  
David J. Wolking ◽  
Sameer M. Dixit ◽  
...  

2017 ◽  
Author(s):  
Esron Daniel Karimuribo ◽  
Eric Mutagahywa ◽  
Calvin Sindato ◽  
Leonard Mboera ◽  
Mpoki Mwabukusi ◽  
...  

BACKGROUND We describe the development and initial achievements of a participatory disease surveillance system that relies on mobile technology to promote Community Level One Health Security (CLOHS) in Africa. OBJECTIVE The objective of this system, Enhancing Community-Based Disease Outbreak Detection and Response in East and Southern Africa (DODRES), is to empower community-based human and animal health reporters with training and information and communication technology (ICT)–based solutions to contribute to disease detection and response, thereby complementing strategies to improve the efficiency of infectious disease surveillance at national, regional, and global levels. In this study, we refer to techno-health as the application of ICT-based solutions to enhance early detection, timely reporting, and prompt response to health events in human and animal populations. METHODS An EpiHack, involving human and animal health experts as well as ICT programmers, was held in Tanzania in 2014 to identify major challenges facing early detection, timely reporting, and prompt response to disease events. This was followed by a project inception workshop in 2015, which brought together key stakeholders, including policy makers and community representatives, to refine the objectives and implementation plan of the DODRES project. The digital ICT tools were developed and packaged together as the AfyaData app to support One Health disease surveillance. Community health reporters (CHRs) and officials from animal and human health sectors in Morogoro and Ngorongoro districts in Tanzania were trained to use the AfyaData app. The AfyaData supports near- to real-time data collection and submission at both community and health facility levels as well as the provision of feedback to reporters. The functionality of the One Health Knowledge Repository (OHKR) app has been integrated into the AfyaData app to provide health information on case definitions of diseases of humans and animals and to synthesize advice that can be transmitted to CHRs with next step response activities or interventions. Additionally, a WhatsApp social group was made to serve as a platform to sustain interactions between community members, local government officials, and DODRES team members. RESULTS Within the first 5 months (August-December 2016) of AfyaData tool deployment, a total of 1915 clinical cases in livestock (1816) and humans (99) were reported in Morogoro (83) and Ngorongoro (1832) districts. CONCLUSIONS These initial results suggest that the DODRES community-level model creates an opportunity for One Health engagement of people in their own communities in the detection of infectious human and animal disease threats. Participatory approaches supported by digital and mobile technologies should be promoted for early disease detection, timely reporting, and prompt response at the community, national, regional, and global levels.


2014 ◽  
Vol 174 (6) ◽  
pp. 151.2-152 ◽  
Author(s):  
Christopher James Mannion ◽  
Kendal Shepherd
Keyword(s):  

2017 ◽  
Author(s):  
Terdsak Yano ◽  
Somphorn Phornwisetsirikun ◽  
Patipat Susumpow ◽  
Surasing Visrutaratna ◽  
Karoon Chanachai ◽  
...  

BACKGROUND Aiming for early disease detection and prompt outbreak control, digital technology with a participatory One Health approach was used to create a novel disease surveillance system called Participatory One Health Disease Detection (PODD). PODD is a community-owned surveillance system that collects data from volunteer reporters; identifies disease outbreak automatically; and notifies the local governments (LGs), surrounding villages, and relevant authorities. This system provides a direct and immediate benefit to the communities by empowering them to protect themselves. OBJECTIVE The objective of this study was to determine the effectiveness of the PODD system for the rapid detection and control of disease outbreaks. METHODS The system was piloted in 74 LGs in Chiang Mai, Thailand, with the participation of 296 volunteer reporters. The volunteers and LGs were key participants in the piloting of the PODD system. Volunteers monitored animal and human diseases, as well as environmental problems, in their communities and reported these events via the PODD mobile phone app. LGs were responsible for outbreak control and provided support to the volunteers. Outcome mapping was used to evaluate the performance of the LGs and volunteers. RESULTS LGs were categorized into one of the 3 groups based on performance: A (good), B (fair), and C (poor), with the majority (46%,34/74) categorized into group B. Volunteers were similarly categorized into 4 performance groups (A-D), again with group A showing the best performance, with the majority categorized into groups B and C. After 16 months of implementation, 1029 abnormal events had been reported and confirmed to be true reports. The majority of abnormal reports were sick or dead animals (404/1029, 39.26%), followed by zoonoses and other human diseases (129/1029, 12.54%). Many potentially devastating animal disease outbreaks were detected and successfully controlled, including 26 chicken high mortality outbreaks, 4 cattle disease outbreaks, 3 pig disease outbreaks, and 3 fish disease outbreaks. In all cases, the communities and animal authorities cooperated to apply community contingency plans to control these outbreaks, and community volunteers continued to monitor the abnormal events for 3 weeks after each outbreak was controlled. CONCLUSIONS By design, PODD initially targeted only animal diseases that potentially could emerge into human pandemics (eg, avian influenza) and then, in response to community needs, expanded to cover human health and environmental health issues.


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