H Sohn, S Sweeney, D Mudzengi, J Creswell, N Menzies, G Fox, P MacPherson, D Dowdy
Data on the costs of ACF are limited, with little consistency in the units and methods used to estimate and report costs. Mathematical models to forecast the long-term effects of ACF require empirical measurements of the yield, timing and costs of case detection. Pragmatic trials offer an opportunity to assess the cost-effectiveness of ACF interventions within a ‘real-world´ context. However, such analyses generally require early introduction of economic evaluations to enable prospective data collection on resource requirements. Closing the global case-detection gap will require substantial additional resources, including continued investment in innovative technologies. Research is essential to the optimal implementation, cost-effectiveness, and affordability of ACF in high-burden settings. To assess the value of ACF, we must prioritize the collection of high-quality data regarding costs and effectiveness, and link those data to analytical models that are adapted to local settings.
The Food and Agriculture Organization of the United Nations (FAO) and The Marie Bashir Institute for Infectious Diseases and Biosecurity (MBI) have joined hands to combat the threat of emerging and re-emerging infectious diseases by increasing capacity in outbreak investigation and disease surveillance.
With support of our Conference Partners, the University of Sydney are hosting the first international conference on global health security in Sydney, 18-20 June 2019 - registrations are now open
This methodology has enjoyed increasing popularity among researchers internationally and has been inspired by developments across a range of disciplines: ethnography, visual and applied anthropology, medical sociology, health services research, medical and nursing education, adult education, community development, and qualitative research ethics.