scholarly journals Electronic data collection to enhance disease surveillance at the slaughterhouse in a smallholder production system

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Laura C. Falzon ◽  
Joseph G. Ogola ◽  
Christian O. Odinga ◽  
Leonid Naboyshchikov ◽  
Eric M. Fèvre ◽  
...  

AbstractGlobally, meat inspection provides data for animal health surveillance. However, paper-based recording of data is often not reported through to higher authorities in sufficient detail. We trialled the use of an electronic meat inspection form in Kenyan slaughterhouses, in lieu of the currently used paper-based format. Meat inspectors in two ruminant slaughterhouses completed and submitted an electronic report for each animal slaughtered at their facility. The reports, which captured information on the animal demographics and any eventual condemnations, were stored in a central database and available in real-time. A stakeholder meeting was held towards the end of the study. Over the 2.75 year study period, 16,386 reports were submitted; a downward linear trend in the monthly submissions was noted. There was a week effect, whereby more reports were submitted on the market day. Of the slaughtered animals, 23% had at least a partial condemnation. The most frequently condemned organs were the liver, lungs and intestines; the primary reasons for condemnations were parasitic conditions. Lack of feedback and difficulty capturing animal origin information were the primary challenges highlighted. The study demonstrated that electronic data capture is feasible in such challenging environments, thereby improving the timeliness and resolution of the data collected.

2012 ◽  
Vol 9 (10) ◽  
Author(s):  
Jo Hardstaff ◽  
Annette Nigsch ◽  
Niko Dadios ◽  
Katharina Stärk ◽  
Silvia Alonso ◽  
...  

2012 ◽  
Vol 9 (10) ◽  
Author(s):  
Céline Dupuy ◽  
Pascal Hendrikx ◽  
Joanne Hardstaff ◽  
Ann Lindberg

2020 ◽  
Vol 7 ◽  
Author(s):  
AnneMarie Clarke ◽  
Simon J. More ◽  
James W. Maher ◽  
Andrew W. Byrne ◽  
Michael Horan ◽  
...  

Decisions around animal health management by stakeholders are often subject to resource limitation, therefore prioritization processes are required to evaluate whether effort is attributed appropriately. The objectives of this study were to develop and apply a surveillance prioritization process for animal health surveillance activities in Ireland. An exploratory sequential mixed research methods design was utilized. A prioritization tool was developed for surveillance activities and implemented over two phases. During the first phase, a survey was conducted which asked stakeholders to prioritize diseases/conditions by importance for Irish agriculture. In the second phase, experts identified the most important surveillance objectives, and allocated resources to the activities that they considered would best meet the surveillance objectives, for each disease/condition. This study developed a process and an accompanying user-friendly practical tool for animal disease surveillance prioritization which could be utilized by other competent authorities/governments. Antimicrobial resistance and bovine tuberculosis were ranked top of the endemic diseases/conditions in the Irish context, while African swine fever and foot and mouth disease were ranked top of the exotic diseases/conditions by the stakeholders. The study showed that for most of the diseases/conditions examined in the prioritization exercise, the respondents indicated a preference for a combination of active and passive surveillance activities. Future extensions of the tool could include prioritization on a per species basis.


2020 ◽  
Author(s):  
Musa Ibrahim Waziri ◽  
Kaltungo Bilkisu Yunusa

Abstract Background: Animal health surveillance is essential to protecting public health, controlling animal diseases and accessing international animal trade with a view to ensuring food security. The practice of subsistent agriculture makes laboratory disease surveillance and statistics difficult or impracticable to implement. Many times, the information generated through conventional approach may not reflect true field situations. Therefore, animal health project interventions from conventional data may be difficult to implement. Community engagement, however, empowers and ensures lasting solutions to developmental challenges.Methods : Field experiences and a review of the origin, concepts, methods and tools of Participatory epidemiology (PE) in disease surveillance suggest their appropriate uses.Results : Community participation in animal and public health investigation, program design, implementation and monitoring is credited with ownership, acceptability and sustainability.Conclusion : This research highlights how and why participation is an essential component of a successful disease surveillance design and implementation. However, the success of any participatory program depends on understanding the bases and applications of the right tools.


2013 ◽  
Vol 142 (1) ◽  
pp. 172-186 ◽  
Author(s):  
W. H. GILBERT ◽  
B. N. HÄSLER ◽  
J. RUSHTON

SUMMARYSurveillance for new and re-emerging animal diseases in England and Wales is based on post-mortem and syndromic analysis of laboratory data collated in a central database by the Animal Health and Veterinary Laboratories Agency (AHVLA), with the aim of providing early warning of disease events prior to clinical diagnosis. Understanding the drivers for participation in such systems is critical to the success of attempts to improve surveillance sensitivity. The aim of this study was to investigate the decision-making process governing the submission of biological samples on which this surveillance system is based by use of questionnaires. Data extracted were used to structure and parameterize scenario trees modelling the probability of generating an entry in the surveillance database. The mean probability for database entry per case ranged from 0·085 for neurological disorders to 0·25 for enteric disease. These findings illustrate the importance of on-farm decision making to the generation of surveillance data.


Author(s):  
Esron D. Karimuribo ◽  
Kuya Sayalel ◽  
Eric Beda ◽  
Nick Short ◽  
Philemon Wambura ◽  
...  

Africa has the highest burden of infectious diseases in the world and yet the least capacity for its risk management. It has therefore become increasingly important to search for ‘fit-for- purpose’ approaches to infectious disease surveillance and thereby targeted disease control. The fact that the majority of human infectious diseases are originally of animal origin means we have to consider One Health (OH) approaches which require inter-sectoral collaboration for custom-made infectious disease surveillance in the endemic settings of Africa. A baseline survey was conducted to assess the current status and performance of human and animal health surveillance systems and subsequently a strategy towards OH surveillance system was developed. The strategy focused on assessing the combination of participatory epidemiological approaches and the deployment of mobile technologies to enhance the effectiveness of disease alerts and surveillance at the point of occurrence, which often lies in remote areas. We selected three study sites, namely the Ngorongoro, Kagera River basin and Zambezi River basin ecosystems. We have piloted and introduced the next-generation Android mobile phones running the EpiCollect application developed by Imperial College to aid geo-spatial and clinical data capture and transmission of this data from the field to the remote Information Technology (IT) servers at the research hubs for storage, analysis, feedback and reporting. We expect that the combination of participatory epidemiology and technology will significantly improve OH disease surveillance in southern Africa.


2012 ◽  
Vol 9 (6) ◽  
Author(s):  
Adeline Huneau ◽  
Sophie Le Bouquin‐Leneveu ◽  
Dia Mohammed ◽  
Ana Mateus ◽  
Katharina Stärk ◽  
...  

2012 ◽  
Vol 9 (10) ◽  
Author(s):  
Nikolaos Dadios ◽  
Jo Hardstaff ◽  
Silvia Alonso ◽  
Katharina Stärk ◽  
Ann Lindberg

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.


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