Research Scientist

Emanuele Del Fava

Laboratory of Digital and Computational Demography

orcid.org

I am a quantitative researcher with a Ph.D. in statistics, with a highly multidisciplinary research perspective (biostatistics, epidemiology, demography, health economics) and interest in computational methods and data. My expertise is mainly in statistical modeling of infectious diseases data and international migration data.

MPIDR Publications

Recent All

Del Fava, E.; Cimentada, J.; Perrotta, D.; Grow, A.; Rampazzo, F.; Gil-Clavel, B. S.; Zagheni, E.:

The differential impact of physical distancing strategies on social contacts relevant for the spread of COVID-19

medRxiv preprints. unpublished. (2020)    

Grow, A.; Perrotta, D.; Del Fava, E.; Cimentada, J.:

Design for a mail survey to determine prevalence of SARS-CoV-2 antibodies in the United States [Commentary]

Survey Research Methods 14:2, 10006–10007. (2020)    

Grow, A.; Perrotta, D.; Del Fava, E.; Cimentada, J.; Rampazzo, F.; Gil-Clavel, B. S.; Zagheni, E.:

Addressing public health emergencies via Facebook surveys: advantages, challenges, and practical considerations

SocArXiv papers. unpublished. (2020)    

Perrotta, D.; Grow, A.; Rampazzo, F.; Cimentada, J.; Del Fava, E.; Gil-Clavel, B. S.; Zagheni, E.:

Behaviors and attitudes in response to the COVID-19 pandemic: insights from a cross-national Facebook survey

medRxiv preprints. unpublished. (2020)    

Del Fava, E.; Shkedy, Z.:

Mixture modeling

In: Handbook of infectious disease data analysis, 1–24. New York: Taylor & Francis Group. (2019)

Recent All

Del Fava, E.; Cimentada, J.; Perrotta, D.; Grow, A.; Rampazzo, F.; Gil-Clavel, B. S.; Zagheni, E.:

The differential impact of physical distancing strategies on social contacts relevant for the spread of COVID-19

medRxiv preprints. unpublished. (2020)    

Grow, A.; Perrotta, D.; Del Fava, E.; Cimentada, J.:

Design for a mail survey to determine prevalence of SARS-CoV-2 antibodies in the United States [Commentary]

Survey Research Methods 14:2, 10006–10007. (2020)    

Grow, A.; Perrotta, D.; Del Fava, E.; Cimentada, J.; Rampazzo, F.; Gil-Clavel, B. S.; Zagheni, E.:

Addressing public health emergencies via Facebook surveys: advantages, challenges, and practical considerations

SocArXiv papers. unpublished. (2020)    

Perrotta, D.; Grow, A.; Rampazzo, F.; Cimentada, J.; Del Fava, E.; Gil-Clavel, B. S.; Zagheni, E.:

Behaviors and attitudes in response to the COVID-19 pandemic: insights from a cross-national Facebook survey

medRxiv preprints. unpublished. (2020)    

Del Fava, E.; Shkedy, Z.:

Mixture modeling

In: Handbook of infectious disease data analysis, 1–24. New York: Taylor & Francis Group. (2019)

Del Fava, E.; Wiśniowski, A.; Zagheni, E.:

Modeling international migration flows by integrating multiple data sources

SocArXiv papers. unpublished. (2019)    

Iozzi, F.; Trusiano, F.; Chinazzi, M.; Billari, F. C.; Zagheni, E.; Merler, S.; Ajelli, M.; Del Fava, E.; Manfredi, P.:

Little Italy: an agent-based approach to the estimation of contact patterns: fitting predicted matrices to serological data

PloS Computational Biology 6:12, e1001021–e1001021. (2010)

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