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Co-creating a trigger model for cholera anticipatory action in Cameroon

  • M. van den Homberg
  • , Mélanie Drooglever Fortuyn
  • , Jacopo Margutti
  • , Mathilde Duchemin
  • , Gaoussou Drame
  • , Cyrille Ewane Ngando
  • , Anne-Laure Maillard
  • , Pascal Crépey

Research output: Contribution to conferenceAbstractAcademic

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Abstract

Anticipatory action (AA) refers to actions taken by humanitarian actors and governments to reduce the humanitarian impacts of a forecasted hazard before it occurs. To date, most AA initiatives have focused on hydrometeorological events, but initiatives for in particular climate-sensitive diseases are gaining traction. Acting ahead of a disease outbreak or controlling an epidemic early on can significantly reduce the impacts. Cameroon has experienced recurrent cholera epidemics since 1971. The Cameroon Red Cross has been working with the French Red Cross, technical partners (510 an initiative of the Netherlands Red Cross and EHESP), and in-country actors such as the Ministry of Health to co-create an Early Action Protocol (EAP) for cholera. An EAP contains a model that triggers early actions once a certain forecast or observation reaches a threshold that indicates there could be severe negative impacts corresponding to a one-in-five-year return period. Cholera is a water-borne disease, where climatic, environmental, and socio-economic factors contribute to its risk. The development of a trigger model requires historical data on these factors, but this data is often difficult to obtain or not available with sufficient spatial and temporal resolution. Also, for an operational trigger model, the input data of the trigger model has to be available in near-real time. A data-sharing agreement with the Ministry of Health was put in place to get access to the sensitive cholera incidence data. Correlation analyses between daily rainfall (as floods impact WASH infrastructure) and cholera case data were done for delays between 7 to 14 days, as it is known from the literature that the first cholera cases usually occur after a few days of flooding. However, only very weak correlations were found. A moving average of rainfall over 50 mm/day for four consecutive days did correspond to a significant number of cholera cases. The trigger model proposed relies only on observed data and consists of two parts. Trigger 1 is a climatic trigger that triggers when a district experiences flooding with over 2000 people affected or when it experiences 4 days with an average daily rainfall of at least 50 mm. Trigger 2 goes off whenever at least 5 suspected cases or 1 confirmed cholera case are identified through community-based or national surveillance systems. To activate trigger 2, trigger 1 must already have been activated. The next steps will include gaining experience with activations with this protocol, while also, from a research point of view, evolving the trigger model once more data on the cholera risk factors becomes available.
Original languageEnglish
DOIs
Publication statusPublished - 15 Mar 2025
EventEGU General Assembly 2025 - Vienna, Austria
Duration: 27 Apr 20252 May 2025
https://www.egu25.eu/

Conference

ConferenceEGU General Assembly 2025
Abbreviated titleEGU 2025
Country/TerritoryAustria
CityVienna
Period27/04/252/05/25
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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