Abdisemet, Osman

Bett, Bernard K.

Bodha, Boku

Chemis, Viola

Hambe, Haret

Kiara, Henry K.

Kihara, Absolomon

Kutu, Adan

Long'or, Benson

Wamwere-Njoroge, George J.

Kutu, Adan A.

CGSpace

Mobile phone-based syndromic surveillance system for early detection and control of livestock diseasesMaterials and methodsIntervention area: Five counties in northern Kenya (Figure 1)System components: A cloud server linked to a series of data collection smart phonesoperated by field veterinarians based at the sub-county locations, agro-veterinary drugsuppliers, abattoir workers and livestock market managersOperations: Agents collect data using the smart phones loaded with electronic reportingforms. The data are posted to an on-line server at the end of each day, or as soon as theyare captured in data collection tool (ODK – Collect)Analyses: The server has automated scripts that processes and analyse the data as they arereceived, and generates trends in syndromes or diseases in tables, maps or graphs whichcan be used by the County veterinarians to inform targeting of response interventions inspace and timeFigure 1. Map of Kenya highlighting thecounties where the system has beenestablished (i.e., Turkana, Marsabit, Isiolo,Wajir and Garissa counties)Achievements• Some of the outputs from system are given in Figure 2. These include word clouds on syndromes, bar graphs on observeddiseases, types and volumes of drugs sold in representative agro-veterinary shops, and lesions from abattoirs. These outputs,together with risk maps (not shown), are used by veterinary authorities to target interventions such as vaccination• The engagement of multiple actors as surveillance agents enables veterinary authorities to triangulate the data obtained. Italso fosters pubic-private partnerships that would ultimately boost service delivery• The implementation of the system has precipitated policy dialogue on types of animal health service delivery models that thecountry should use. More work is being done to integrate it with the national surveillance system managed by the Directorateof Veterinary ServicesAcknowledgementsThis work is supported by the Accelerated Value Chain Development project (AVCD), funded by FtF, USAID, and the CGIAR Research Program on Agriculture for Nutrition and Health led by IFPRI. It is being implemented by theInternational Livestock Research Institute in partnership with the Department of Veterinary Services, KenyaIntroduction• Livestock diseases cause substantial losses on livestock production and trade. Some of these diseases are zoonoticand are a leading cause of ill-health in people• In many developing countries, animal health service delivery systems are poorly equipped to effectively managethese diseases due to persistent underfunding and low staffing levels• New technologies including smart phones and the internet provide opportunities for introducing innovative ways ofdeploying surveillance and control measures• We introduce a mobile phone-based syndromic surveillance system that has been piloted in northern Kenya inpartnership with the Department of Veterinary Services, Ministry of Agriculture and private sector actors such asagro-veterinary drug suppliersBenson Long’or1, Boku Bodha1, Absolomon Kihara2, Haret Hambe3, Viola Chemis3, Adan Kutu3, Osman Abdisemet3, Henry Kiara3, George Wamwere-Njoroge3, Bernard Bett31. Department of Agriculture, Livestock and fisheries, Directorate of Veterinary Services, Nairobi, Kenya2. Badili Innovations Limited, Nairobi, Kenya3. International Livestock Research Institute, Nairobi, KenyaFigure 2. Outputs generated by the system including: (i) word cloud to showing the prevalent syndromes, (ii) incidence of notifiable diseases, (iii) types and volumes of drugs sold in agrovets and (iv) lesions identified during meat inspection in abattoirs in that order  Poster presented at the Big Data in Agriculture Convention held at ICRAF on 3-5th October 2018

Mobile phone-based syndromic surveillance system for early detection and control of livestock diseases

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Mobile phone-based syndromic surveillance system for early detection and control of livestock diseases

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