Group | Public Health Computing

The Public Health Computing research group combines expertise in epidemiology and public health with a strong background in computational sciences. We develop, implement and study dynamic models, focusing on infectious disease epidemiology, control and elimination, as well as on health systems modelling. The group specialises in software design, programming, web-application development, database design and administration, data management and high-performance computing. We develop innovative web and mobile applications for e-Health and m-Health solutions to health system problems and provide support to large cohort studies.

Di Pasquale A, McCann R.S, Maire N. Assessing the population coverage of a health demographic surveillance system using satellite imagery and crowd-sourcing. PLoS One. 2017;12(8):e0183661. DOI: 10.1371/journal.pone.0183661

McCann R.S et al. Assessment of the effect of larval source management and house improvement on malaria transmission when added to standard malaria control strategies in southern Malawi: study protocol for a cluster-randomised controlled trial. BMC Infect Dis. 2017;17:639. DOI: 10.1186/s12879-017-2749-2

Mukasa O, Mushi H.P, Maire N, Ross A, De Savigny D. Do surveys with paper and electronic devices differ in quality and cost? Experience from the Rufiji Health and Demographic Surveillance System in Tanzania. Glob Health Action. 2017;10:1387984. DOI: 10.1080/16549716.2017.1387984

De Savigny D et al. Integrating community-based verbal autopsy into civil registration and vital statistics (CRVS): system-level considerations. Glob Health Action. 2017;10(1):1272882. DOI: 10.1080/16549716.2017.1272882

Silkey M et al. Design of trials for interrupting the transmission of endemic pathogens. Trials. 2016;17:278. DOI: 10.1186/s13063-016-1378-1