Luisa Zuccolo
- Research Group Leader, Zuccolo Group
Dr. Luisa Zuccolo is an epidemiologist with expertise in causal inference applied to population health. Following her first degree in Physics, she obtained a Fellowship from the University of Turin, Italy, in Cancer Epidemiology and Surveillance. She then moved to the University of Bristol (UK) and was awarded a pre-doctoral Fellowship from the UK Medical Research Council to complete an MSc in Epidemiology (London School of Hygiene and Tropical Medicine) and a PhD in Genetic Epidemiology with Prof. George Davey Smith (University of Bristol). She was then awarded a second MRC Fellowship in Population Health Science and Epidemiology, after which, in 2018, she secured a tenured position at the University of Bristol. Dr. Zuccolo’s past research includes the causal effects of alcohol on health, in particular of prenatal alcohol exposure, using methods and designs that improve causal inference. More recently, she has focussed on maternal and child health, researching barriers to and effects of prolonged breastfeeding, the impact of COVID-19 on fertility and pregnancy outcomes, and misinformation around public health messaging on social media.
Publications
-
08/2022 - Cureus
The Frequency of Infant-Feeding Presentations at English Emergency Departments During the SARS-CoV-2 Pandemic: A Nation-Wide Electronic Health Records Study
Objectives: To examine the frequency and distribution of infant feeding-related presentations at emergency departments (EDs) before and during the SARS-CoV-2 pandemic. Setting: Attendances at 48 major EDs in England in two 50-week periods before and during the COVID-19 pandemic: period 1, April 2, 2019 to March 10, 2020 and period 2, April 1, 2020 to March […]
-
06/2022 - The Lancet Digital Health
COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records
Background Updatable estimates of COVID-19 onset, progression, and trajectories underpin pandemic mitigation efforts. To identify and characterise disease trajectories, we aimed to define and validate ten COVID-19 phenotypes from nationwide linked electronic health records (EHR) using an extensible framework. Methods In this cohort study, we used eight linked National Health Service (NHS) datasets for people in England alive […]
-
05/2022 - Addiction
Prenatal smoking, alcohol and caffeine exposure and maternal-reported attention deficit hyperactivity disorder symptoms in childhood: triangulation of evidence using negative control and polygenic risk score analyses
Background and aims Studies have indicated that maternal prenatal substance use may be associated with offspring attention deficit hyperactivity disorder (ADHD) via intrauterine effects. We measured associations between prenatal smoking, alcohol and caffeine consumption with childhood ADHD symptoms accounting for shared familial factors. Design First, we used a negative control design comparing maternal and paternal […]
Previous page