Improving Village Animal Health Worker participation in national disease surveillance systems: A case study from Cambodia

2019 ◽  
Vol 67 (2) ◽  
pp. 967-978 ◽  
Author(s):  
Isabel MacPhillamy ◽  
James Young ◽  
Sophary Siek ◽  
Chan Bun ◽  
Sothoeun Suon ◽  
...  
Author(s):  
J.C. Mariner

Investment in disease control should be targeted to critical points that provide the greatest benefit to the livelihoods of livestock-dependent stakeholders. Risk-based targeting should balance the impacts of diseases against the feasibility of their control. This requires sensitive and specific surveillance systems that provide representative overviews of the animal health situation for accurate assessment of disease impact and transmission patterns. Assessment of impact should include household and market effects. The key in surveillance is involving livestock owners using active methods that ensure their disease priorities are addressed. Epidemiological targeting of interventions to critical points in disease transmission cycles should be done to obtain maximal disease reduction. Interventions should be delivered in full partnership with both private and community-based stakeholders to assure high uptake and sustainability. In developing countries, approaches such as participatory disease surveillance and community-based animal health programs have been effective and comply with international animal health standards.


2021 ◽  
Author(s):  
Gisela Vasconcelos Gioia ◽  
Gaël Lamielle ◽  
Ryan Aguanno ◽  
Ihab ElMasry ◽  
Béatrice Mouillé ◽  
...  

Abstract Attacks using animal pathogens can have devastating socioeconomic, public health and national security consequences. The livestock sector has some inherent vulnerabilities which put it at risk to the deliberate or accidental spread of disease. The growing concern of countries about the risks of agro-terrorism and agro-crime has led to efforts to prepare against potential attacks. One recent international effort is the launch of a joint OIE, FAO and INTERPOL project in 2019 to build resilience against agro-terrorism and agro-crime targeting animal health with the financial support of the Weapons Threat Reduction Programme of Global Affairs Canada. Given the importance of strong animal health surveillance systems for the early and effective response to agro-terrorism and agro-crime, the project uses the FAO Surveillance Evaluation Tool (SET) and its new Biothreat Detection Module to evaluate beneficiary countries’ capacities to detect criminal or terrorist animal health events. This paper presents the development of the new SET Biothreat Detection Module and how it will be used to evaluate surveillance for agro-terrorism and agro-crime animal threats. The module will be piloted in early 2021 and, once finalized, will be used by beneficiary countries of the joint OIE-FAO-INTERPOL project. Results from evaluations using SET and its Biothreat Detection Module are expected to provide a baseline from which countries can build targeted capacity for animal disease surveillance including early detection and investigation of potential terrorist or criminal events involving zoonotic and non-zoonotic animal pathogens.


Author(s):  
Lorenzo E. Hernández-Castellano ◽  
◽  
Klaus L. Ingvartsen ◽  
Mogens A. Krogh ◽  
◽  
...  

This chapter provides an overview on the different aspects concerning disease surveillance programs. The chapter also describes a specific and conceptual framework related to disease surveillance of production diseases within the individual herd, including both animals and farmers. Regarding farmers, this chapter focus on the justification and purposes for doing disease surveillance as well as the possible decisions and actions they can take to enhance the efficiency of the disease surveillance programs. It also discusses some of the most novel biomarkers that can be potentially used to identify pre-clinical disease states, which will have the potential to minimize the negative effects of production diseases. Finally, the chapter looks into the future perspectives and possible challenges that future automated disease surveillance systems will need to face in order to keep an optimal animal health, performance and welfare within the individual herd.


2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Gisela Vasconcelos Gioia ◽  
Gaël Lamielle ◽  
Ryan Aguanno ◽  
Ihab ElMasry ◽  
Béatrice Mouillé ◽  
...  

AbstractAttacks using animal pathogens can have devastating socioeconomic, public health and national security consequences. The livestock sector has some inherent vulnerabilities which put it at risk to the deliberate or accidental spread of disease. The growing concern of countries about the risks of agro-terrorism and agro-crime has led to efforts to prepare against potential attacks. One recent international effort is the launch of a joint OIE, FAO and INTERPOL project in 2019 to build resilience against agro-terrorism and agro-crime targeting animal health with the financial support of the Weapons Threat Reduction Programme of Global Affairs Canada. Given the importance of strong animal health surveillance systems for the early and effective response to agro-terrorism and agro-crime, the project will use the FAO Surveillance Evaluation Tool (SET) and its new Biothreat Detection Module to evaluate beneficiary countries’ capacities to detect criminal or terrorist animal health events. This paper presents the development of the new SET Biothreat Detection Module and how it will be used to evaluate surveillance for agro-terrorism and agro-crime animal disease threats. The module will be piloted in early 2021 and, once finalized, will be used by beneficiary countries of the joint OIE-FAO-INTERPOL project. Results from evaluations using SET and its Biothreat Detection Module are expected to provide a baseline from which countries can build targeted capacity for animal disease surveillance including early detection and investigation of potential terrorist or criminal events involving zoonotic and non-zoonotic animal pathogens.


2021 ◽  
Author(s):  
Chinedu Ejike Anarado ◽  
Loveth Metiboba ◽  
Faye Simmonds ◽  
Tope Falodun

BACKGROUND Sub-saharan Africa, Afghanistan and Pakistan are the last frontiers with the prevalence of wild poliovirus (WPV). Following joint efforts and partnerships some of which were instituted in the last 20 years, Africa was declared free of WPV in August 2020. While efforts now focus on eliminating circulating vaccine derived poliovirus (cVDPV), it is important to review some of the interventions that resulted in a polio-free certification for the continent. OBJECTIVE The Auto-visual AFP detection and response (AVADAR) program was one of such interventions. AVADAR helped with a more focused, technology and data driven campaign, to ensure that surveillance was broad, inclusive, and responsive. With the infusion of mobile health technology, the project became a success as it reported, investigated and confirmed more cases of AFP compared to the existing traditional surveillance systems. This study attempts a review of the AVADAR intervention with a view to understand the role played by technology and data. METHODS This study comparatively reviewed the data generated over a three year period, across nine countries where the AVADAR project was implemented. It sought to understand how AVADAR was an improvement over traditional surveillance systems. RESULTS The AVADAR program confirmed more reported AFP cases, when compared with the traditional (paper-based) system. It was found that more true AFP cases were found through the AVADAR system. AVADAR accounted for 76% of cases reported across eight countries. CONCLUSIONS Evidently, data and technology - in this case - the AVADAR tool, addressed most of the challenges of Public Health Surveillance in the target countries. The challenge of erratic surveillance data gathering, and feedback was reduced as the AVADAR program demonstrated coordinated data gathering, active case search, timely response to alerts, and ultimately, improved confirmation of true cases. It contributes lessons that could be useful in enhancing surveillance systems across the developing world particularly in Africa.


Author(s):  
Karen L. Meidenbauer

ObjectiveTo identify gaps in current U.S. animal data collection andsurveillance systems, describe how surveillance of animal populationscan provide important early warnings of emerging threats to humanpopulations from infectious disease epidemics, and explain thebenefits of integrating human and animal surveillance data into acommon linked system.IntroductionSince the majority of emerging infectious diseases over the pastseveral decades have been zoonotic, animal health surveillance isnow recognized as a key element in predicting public health risks.Surveillance of animal populations can provide important earlywarnings of emerging threats to human populations from bioterrorismor naturally occurring infectious disease epidemics. This studyinvestigated current animal data collection and surveillance systems,isolated major gaps in state and national surveillance capabilities, andprovided recommendations to fill those gaps.MethodsInitially, an extensive literary review was performed to betterunderstand what is currently available for Animal Health DiseaseSurveillance in the United States and recognize the gaps. Afterthis review meetings were arranged with numerous animal healthand public health surveillance experts to isolate their surveillancepriorities: Department of Homeland Security (DHS), USDA AnimalPlant Health Inspection Service (APHIS), U.S. Army VeterinaryCorps, University Laboratories/Veterinary Teaching Hospitals, TheNational Capitol Region (NCR) ESSENCE Public Health SteeringCommittee, Maryland Arbovirus, Zoonotic, and Vector DiseaseGroup, and the Maryland State Veterinarian.A key animal disease surveillance stakeholder group that hasbeen underrepresented in prior requirements assessments is privatepractitioners. Preliminary discussions with key practitioners revealedclearly that there are monumental gaps in animal health surveillanceand it frequently limits their ability to rapidly respond to potentialdisease risks within their animal population of concern. To betterunderstand these gaps and potential ways to improve surveillance inthis area, a voluntary survey was developed and sent out to membersof the Maryland Veterinary Medical Association, Virginia VeterinaryMedical Association, and the District of Columbia Academy ofVeterinary Medicine.ResultsThrough this comprehensive study three current U.S. animal healthdisease surveillance gaps were isolated: integrated human and animalhealth surveillance, real-time animal health data collection, andcompanion animal surveillance.The survey was also well received and had almost 160 participants.Key issues addressed in the survey included: Animal Medical Records– availability, capabilities, and concerns, Zoonotic disease exposureand reporting, and support for development of integrated human-animal disease surveillance tools.Key Findings:- Almost 90% of responding practitioners reported havingencountered a zoonotic disease in practice.- Although less than 50% have reported a zoonotic disease to thestate or federal government.- Almost 70% of veterinarians in the National Capital Region(NCR) who participated in the survey also reported that they do nothave access to a surveillance system.- Veterinarian’s responses to the question: “What is your opinionof the current status of local, regional, or national zoonotic diseasesurveillance and the use of animal data for surveillance?”:“I think it is difficult to find up to date local and regional data.Email alerts etc. would be nice, rather than having to search forinformation that frequently isn’t current.”“I feel that many zoonotic diseases go unreported due to the lackof ease of reporting them and there is no communication betweenthe human and veterinary medical communities as far as reportablediseases affecting both people and animals.”“With the proliferation of tick borne disease, closer surveillance ofanimal cases would benefit human medicine. We knew exactly whenLyme hit our area. It was three years later before VA Dept. of Healthsent out a letter outlining the prevalence of disease in southwest VAhuman cases.”ConclusionsLinking the systems that report human and animal diseases wouldenable health professionals to swiftly identify and respond to zoonoticdisease outbreaks. Since funding for animal health surveillance islimited, integrating animal data into existing, well-established humanhealth surveillance systems would reduce the resources neededwhile still providing the advanced capabilities that are availablefor human health surveillance. The need for integrated surveillancehas been recognized by regulatory officials, but concerns regardingfunding, data acquisition, data confidentiality, and identification ofdesired stakeholders must still be addressed. The sometimes disparateinterests of large industry, private practitioners, and state governmentsmake gaining access to large centralized pools of animal health dataa challenge. By using existing human health surveillance systems asa platform to develop integrated human-animal surveillance systemsand by working with experts in the human surveillance field, theseconcerns can be ameliorated. This would lead to more advancedintegrated health surveillance capabilities and heighten the nation’sability to quickly detect and respond to emerging zoonotic diseases.


2013 ◽  
Vol 14 (2) ◽  
pp. 147-150 ◽  
Author(s):  
Mo D. Salman

AbstractAnimal disease surveillance is watching an animal population closely to determine if a specific disease or a group of diseases makes an incursion so that a prior plan of action can be implemented. The purpose of this paper is to review existing tools and techniques for an animal disease-surveillance system that can incorporate the monitoring of climate factors and related data to enhance understanding of disease epidemiology. In recent decades, there has been interest in building information systems by combining various data sources for different purposes. Within the field of animal health, there have only been limited attempts at the integration of surveillance data with relevant climate conditions. Statistical techniques for data integration, however, have been explored and used by several disciplines. Clearly the application of available techniques for linking climate data with surveillance systems should be explored with the aim of facilitating prevention, mitigation, and adaptation responses in the surveillance setting around climate change and animal disease risks. Drawing on this wider body of work, three of the available techniques that can be utilized in the analysis of surveillance data with the available climate data sets are reviewed.


2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Janeth George ◽  
Barbara Häsler ◽  
Erick Komba ◽  
Calvin Sindato ◽  
Mark Rweyemamu ◽  
...  

Abstract Background Effective animal health surveillance systems require reliable, high-quality, and timely data for decision making. In Tanzania, the animal health surveillance system has been relying on a few data sources, which suffer from delays in reporting, underreporting, and high cost of data collection and transmission. The integration of data from multiple sources can enhance early detection and response to animal diseases and facilitate the early control of outbreaks. This study aimed to identify and assess existing and potential data sources for the animal health surveillance system in Tanzania and how they can be better used for early warning surveillance. The study used a mixed-method design to identify and assess data sources. Data were collected through document reviews, internet search, cross-sectional survey, key informant interviews, site visits, and non-participant observation. The assessment was done using pre-defined criteria. Results A total of 13 data sources were identified and assessed. Most surveillance data came from livestock farmers, slaughter facilities, and livestock markets; while animal dip sites were the least used sources. Commercial farms and veterinary shops, electronic surveillance tools like AfyaData and Event Mobile Application (EMA-i) and information systems such as the Tanzania National Livestock Identification and Traceability System (TANLITS) and Agricultural Routine Data System (ARDS) show potential to generate relevant data for the national animal health surveillance system. The common variables found across most sources were: the name of the place (12/13), animal type/species (12/13), syndromes (10/13) and number of affected animals (8/13). The majority of the sources had good surveillance data contents and were accessible with medium to maximum spatial coverage. However, there was significant variation in terms of data frequency, accuracy and cost. There were limited integration and coordination of data flow from the identified sources with minimum to non-existing automated data entry and transmission. Conclusion The study demonstrated how the available data sources have great potential for early warning surveillance in Tanzania. Both existing and potential data sources had complementary strengths and weaknesses; a multi-source surveillance system would be best placed to harness these different strengths.


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