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Royal Society Open Science|January 5, 2024
Joint quantile disease mapping with application to malaria and G6PD deficiencyHanan Alahmadi, Janet van Niekerk, Tullia Padellini, et al.
Environment International|January 5, 2021
Long-term exposure to air-pollution and COVID-19 mortality in England: A hierarchical spatial analysisGaryfallos Konstantinoudis, Tullia Padellini, James Bennett, et al.
Medrxiv : the Preprint Server for Health Sciences|August 21, 2020
Long-term exposure to air-pollution and COVID-19 mortality in England: a hierarchical spatial analysisGaryfallos Konstantinoudis, Tullia Padellini, James Bennett, et al.
The Annals of Applied Statistics|September 26, 2024
A BAYESIAN HIERARCHICAL SMALL AREA POPULATION MODEL ACCOUNTING FOR DATA SOURCE SPECIFIC METHODOLOGIES FROM AMERICAN COMMUNITY SURVEY, POPULATION ESTIMATES PROGRAM, AND DECENNIAL CENSUS DATAEmily N Peterson, Rachel C Nethery, Tullia Padellini, et al.
The Lancet Regional Health. Europe|February 21, 2022
Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: A population-based ecological studyTullia Padellini, Radka Jersakova, Peter J Diggle, et al.
Medrxiv : the Preprint Server for Health Sciences|November 18, 2021
Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: a space-time studyTullia Padellini, Radka Jersakova, Peter J Diggle, et al.
Nature Microbiology|January 1, 2022
Improving local prevalence estimates of SARS-CoV-2 infections using a causal debiasing frameworkGeorge Nicholson, Brieuc Lehmann, Tullia Padellini, et al.
Statistical Science : a Review Journal of the Institute of Mathematical Statistics|June 6, 2022
Interoperability of statistical models in pandemic preparedness: principles and realityGeorge Nicholson, Marta Blangiardo, Mark Briers, et al.
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