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Evidence-based decision making for malaria elimination applying the Freedom From Infection statistical framework in five malaria eliminating countries: an observational study.

The Lancet

By 
Gillian Stresman, 
Luca Nelli, 
Lindsey Wu, 
Isabel Byrne, 
Henry Surendra, 
Bryan Fernandez-Camacho, 
Jorge Ruiz-Cabrejos, 
Lucia Bartolini Arana, 
Ad茅ritow Augusto Lopes Macedo Gon莽alves, 
Davidson Daniel Sousa Rocha Monteiro, 
Luccene Desir, 
Keyla Ure帽a, 
Manuel de Jesus Tejada Beato, 
Elin Dumont, 
Monica Hill, 
Lynn Grignard, 
Sabrina Elechosa, 
Raymart Bunagan, 
Nguyen Xuan Thang, 
Nguyen Thi Huong Binh, 
Nguyen Thi Hong Ngoc, 
Kevin K A Tetteh, 
Gregory S Noland, 
Karen E S Hamre, 
Silv芒nia da Veiga Leal, 
Adilson DePina, 
Ngo Thang, 
Fe Esperanza Espino, 
Gabriel Carrasco-Escobar, 
Jason Matthiopoulos, 
Chris Drakeley

Summary

Routine surveillance is central to malaria programs and decision-making, but its usefulness depends on how accurately it measures the true malaria burden. The authors extended the Freedom From Infection (FFI) framework to generate species-specific estimates of surveillance sensitivity and probability of malaria freedom, integrated multiple components (including community case management and active case detection), and applied it across five malaria-eliminating settings.

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