The efficacy of animal disease surveillance systems depends primarily on the quality of the data gathered in the field, yet the factors that influence their quality are seldom assessed. Two studies in Vietnam and Germany by researchers from CIRAD and their partners have revealed that it is vital to take account of socioeconomic and cultural parameters to limit the bias linked to under-declaration of diseases. This innovative economic evaluation work could serve as a basis for the authorities to improve surveillance systems, and the integrated approach taken could rapidly be transposed and adapted to current crises (avian influenza) or potential threats (African swine fever, lumpy skin disease).
via CIRAD - Actualités / News http://ift.tt/2mlsvKQ
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