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avatar for Daniel A.M. Villela

Daniel A.M. Villela

Research Scientist
Oswaldo Cruz Foundation
The experience with epidemiological indicators to advise decision making during the COVID-19 pandemic in Brazil
Brazil collected records of COVID-19 cases into national surveillance databases during the pandemic.  From the start, there was a need to establish good epidemiological indicators to advise decision-making oriented to mitigate the pandemic's impact.  This talk will discuss lessons learned during the process.   Attention will be given to highlighting indicators that convey the incidence of severe cases, the impact of policies, including vaccination, challenges involving the volume of data, and periods with missing notification data.
Daniel A.M. Villela is a Research Scientist at the Oswaldo Cruz Foundation and currently serves as coordinator of the Scientific Computing Program (PROCC / FIOCRUZ). He is a professor and the deputy coordinator of the Program of Epidemiology at the National School of Public Health, where he teaches courses and supervises graduate students.  He obtained a master's degree from the Federal University of Rio de Janeiro in 1998 and a Ph.D. from  Columbia University in 2005. He has experience in mathematical modeling, with particular interest in mathematical modeling and quantitative methods in Epidemiology and Ecology of important data for public health, among the topics of interest: vector-borne diseases (malaria, arbovirus) and SARS-CoV-2 infections; models of dynamics of vector populations, with attention to seasonal, climatic and spatial effects;  Coordinator of the MIDAS Latin America Network. Member of the editorial board of the PLOS Global Health, and Experimental Results journal.