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

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Presented by George Wamwere-Njoroge, Benson Long’or, Absolomon Kihara and Bernard Bett at the ILRI Open Access Week Workshop, Nairobi, 23-25 October 2019

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

  1. 1. Mobile phone-based syndromic surveillance system for early detection and control of livestock diseases George Wamwere-Njoroge1, Benson Long’or2, Absolomon Kihara3, Bernard Bett1 1. International Livestock Research Institute, Nairobi Kenya 2. Directorate of Veterinary Services, Lodwar, Kenya 3. Badili Innovations Limited, Nairobi, Kenya ILRI Open Access Week, Nairobi, 23-25 October 2019
  2. 2. Introduction • Delivery of animal health services constrained by technical and institutional barriers • Long Kenyan international border • Exploiting existing technologies – smart phone, internet etc. to: o bridge existing gaps on service delivery o engage multiple actors – private sector o reduce turn-around time between data analysis and response • Mobile phone-based syndromic surveillance system introduced in northern Kenya (Figure 1) Figure 1. Map of Kenya highlighting counties involved in the study
  3. 3. Sub-county Vet Department Community Disease Reporter e-Surveillance network National DVS County DVS •Types of drugs sold •Reported syndromes Agrovets Stores Abattoirs •No. slaughtered/day •Ante-mortem/PM lesions &parasites •Syndromes/rumours •Disease outbreaks Livestock owner Figure 2. Locations of trained CDRs Livestock markets •Syndromes •Disease outbreaks •Movement patterns
  4. 4. Surveillance data being collected
  5. 5. Notifications and Feedback Immediate feedback to the CDRs on receipt of report (via SMS) Weekly reminders to Sub-County VOs to follow up with CDRs (via SMS) Weekly reports to CDVS and SCVOs (via SMS and Email)
  6. 6. Response  The County Vet Department uses the data to distribute drugs and vaccines NGOs have also utilized the same data for veterinary interventions
  7. 7. Achievements so far Improved awareness of the types of syndromes and prevalent diseases Enhanced involvement of private service providers in disease surveillance Informed investigations/responses especially in Turkana County, Kenya Enhanced resource mobilization especially with vet NGOs who supported staff trainings and disease responses)
  8. 8. Challenges  Few Community disease reporters and veterinary personnel  inadequate veterinary extension services  Air time to sustain information flow  Poor mobile phone network coverage  How to sustainable incentivize data collectors/reporters  especially sustaining costs of airtime
  9. 9. Areas to be improved Integrate the ILRI supported County e-Surveillance system with national surveillance system at the Directorate of Veterinary Services More training for epidemiologists on data management/analysis and triangulation of information Pilot incentives that promote reporting by the private sector actors e.g. automated system for capturing drugs sales Policy dialogue on financing and utilization of the system in disease control
  10. 10. Next Frontier For effectiveness and efficiency in communication  Project working with Safaricom limited and counties to make use of Toll-Free Line operated within a Closed User Group (CUG)  CUG members to communicate amongst themselves at no cost,  CUG package have a feedback loop where customized messages will be sent to the CDRs/CUG participants.  Tol-Free Line linked to a line owned by County Government, hence Government to pay for the costs.
  11. 11. Turkana e-Surveillance Platform turkanavet.or.ke
  12. 12. Acknowledgements • Directorate of Veterinary Services - Kenya • County Directors of Veterinary Services • CGIAR Research Program on Agriculture for Nutrition and Health led by IFPRI • Accelerated Value Chain Development project (AVCD), funded by FtF, USAID
  13. 13. better lives through livestock ilri.org