Laura Vanderbloemen’s background is in epidemiology. She started out working for the U.S. Centers for Disease Control (CDC), National Center for Infectious Disease (NCID) in a laboratory extracting DNA for research on blood factors and HIV infection and later worked on identifying dermatological markers of paediatric metabolic syndrome among school children, as well as at the WHO / PAHO with the Regional Advisor on Health Promotion and Health Education for Latin America and the Caribbean.
During her master’s degree she worked in a molecular epidemiology laboratory investigating risk factors for TB infection at the US-Mexico border and assisted the Department of Health for the State of New Mexico with geographic mapping of known TB case/patients by area and socio-economic characteristics.
She has also contributed epidemiological data for economic models estimating vaccine cost effectiveness developed by USAID Peru and a WHO / PAHO cost-effectiveness workinggroup. Her PhD research utilised quantitative analyses of longitudinal data to examine the health effects on children whose mothers smoke during pregnancy and compared ante-natal care policy in the United States and the United Kingdom. She has also worked as a Trainee in Social Policy at the Organisation for Economic Cooperation and Development (OECD) in Paris.
Vanderbloemen LS, Soltan F, Systematic review of community-based interventions for improving health and well-being in refugee children and adolescents after resettlement in developed countries (2018), Prospero International Register of Systematic Reviews Https://www.crd.york.ac.uk/prospero/display_record.php?recordid=99102
et al., 2017, Smoking and quit attempts during pregnancy and postpartum: a longitudinal UK cohort, Bmj Open, Vol:7, ISSN:2044-6055
et al., 2017, Visualising and quantifying 'excess deaths' in Scotland compared with the rest of the UK and the rest of Western Europe, Journal of Epidemiology and Community Health, Vol:71, ISSN:0143-005X, Pages:461-467
Almashrafi A, Vanderbloemen L, 2016, Quantifying the effect of complications on patient flow, costs and surgical throughputs, Bmc Medical Informatics and Decision Making, Vol:16, ISSN:1472-6947
et al., 2016, What Case & Deaton saw, and what they missed. A data visualisation commentary on Case & Deaton (2015), OXFORD UNIV PRESS, ISSN:1101-1262