Zuccolo Group
In the Zuccolo group, epidemiologists, statisticians and data scientists analyse highly-dimensional complex data to improve our understanding of maternal and child health, with a particular focus on intergenerational effects. We develop new data pipelines and phenotype captures, while applying cutting edge methods for robust inference to inform knowledge translation. We describe health and health behaviours trends and trajectories emerging in contemporary populations, study their determinants, identify predictors of vulnerability and risk, and investigate how families and particularly parent-offspring interactions, shape individuals’ health and wellbeing. The resulting evidence will help to prioritise and inform the design of family-level or parent-focussed interventions to support maternal, child, and adolescent health.
FUNDING
MSCA Postdoctoral Fellowship – Albert Navarro Gallinad
ALUMNI
- Molly Van der Heiden: Bristol Medical School student intern
- Elham Bahari Kheirjoui: Università degli Studi di Milano MSc student intern
Group members
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Luisa Zuccolo
Research Group Leader -
Maeregu Woldeyes Arisido
Postdoc -
Alice Sofia Calvello
Undergraduate Intern -
Sandra Mickwitz
Undergraduate Intern -
Albert Navarro Gallinad
Health Data Scientist -
Valeria Nazzari
PhD Student -
Linda Repetto
Genetic Epidemiologist
Publications
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06/2024 - JMIR Infodemiology
Analyzing Questions About Alcohol in Pregnancy Using Web-Based Forum Topics: Qualitative Content Analysis
Background:Prenatal alcohol exposure represents a substantial public health concern as it may lead to detrimental outcomes, including pregnancy complications and fetal alcohol spectrum disorder. Although UK national guidance recommends abstaining from alcohol if pregnant or planning a pregnancy, evidence suggests that confusion remains on this topic among members of the public, and little is known […]
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12/2023 - Journal of Medical Internet Research
Evaluating Messaging on Prenatal Health Behaviors Using Social Media Data: Systematic Review
Background:Social media platforms are increasingly being used to disseminate messages about prenatal health. However, to date, we lack a systematic assessment of how to evaluate the impact of official prenatal health messaging and campaigns using social media data. Objective:This study aims to review both the published and gray literature on how official prenatal health messaging […]
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09/2023 - BMC Infectious Diseases
COVID-19 vaccination in pregnancy: the impact of multimorbidity and smoking status on vaccine hesitancy, a cohort study of 25,111 women in Wales, UK
Background Multimorbidity, smoking status, and pregnancy are identified as three risk factors associated with more severe outcomes following a SARS-CoV-2 infection, thus vaccination uptake is crucial for pregnant women living with multimorbidity and a history of smoking. This study aimed to examine the impact of multimorbidity, smoking status, and demographics (age, ethnic group, area of […]
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07/2023 - BMJ Medicine
Vaccine effectiveness for prevention of covid-19 related hospital admission during pregnancy in England during the alpha and delta variant dominant periods of the SARS-CoV-2 pandemic: population based cohort study
Objective: To estimate vaccine effectiveness for preventing covid-19 related hospital admission in individuals first infected with the SARS-CoV-2 virus during pregnancy compared with those of reproductive age who were not pregnant when first infected with the virus. Design: Population based cohort study. Setting: Office for National Statistics Public Health Data Asset linked dataset, providing national linked census and […]
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