19 Regression analysis of spatially correlated data: The kanawha county health study. - Christl A. Donnelly; James H. Ware; Nan M. Laird (Environmental Statistics, 1994)

Detecting Emerging Transmissibility of Avian Influenza Virus in Human Households. - Michiel van Boven; Marion Koopmans; Mirna Du Ry van Beest Holle; Adam Meijer; Don Klinkenberg; Christl A. Donnelly; Hans Heesterbeek (PLoS Comput. Biol., 2007)

A Latent Markov Modelling Approach to the Evaluation of Circulating Cathodic Antigen Strips for Schistosomiasis Diagnosis Pre- and Post-Praziquantel Treatment in Uganda. - Artemis Koukounari; Christl A. Donnelly; Irini Moustaki; Edridah M. Tukahebwa; Narcis B. Kabatereine; Shona Wilson; Joanne P. Webster; André M. Deelder; Birgitte J. Vennervald; Govert J. van Dam (PLoS Comput. Biol., 2013)

epiflows: an R package for risk assessment of travel-related spread of disease. - Paula Moraga; Ilaria Dorigatti; Zhian N. Kamvar; Pawel Piatkowski; Salla E. Toikkanen; V. P. Nagraj; Christl A. Donnelly; Thibaut Jombart (F1000Research, 2018)

Using information theory to optimise epidemic models for real-time prediction and estimation. - Kris V. Parag; Christl A. Donnelly (PLoS Comput. Biol., 2020)

An exact method for quantifying the reliability of end-of-epidemic declarations in real time. - Kris V. Parag; Christl A. Donnelly; Rahul Jha; Robin N. Thompson (PLoS Comput. Biol., 2020)

Spatial and temporal invasion dynamics of the 2014-2017 Zika and chikungunya epidemics in Colombia. - Kelly Charniga; Zulma M. Cucunubá; Marcela Mercado; Franklyn Prieto; Martha Ospina; Pierre Nouvellet; Christl A. Donnelly (PLoS Comput. Biol., 2021)

Quantifying the information in noisy epidemic curves. - Kris V. Parag; Christl A. Donnelly; Alexander Eugene Zarebski (Nat. Comput. Sci., 2022)

Fundamental limits on inferring epidemic resurgence in real time using effective reproduction numbers. - Kris V. Parag; Christl A. Donnelly (PLoS Comput. Biol., 2022)

Trends in SARS-CoV-2 infection prevalence during England's roadmap out of lockdown, January to July 2021. - Oliver Eales; Haowei Wang; David Haw; Kylie E. C. Ainslie; Caroline E. Walters; Christina Atchison; Graham Cooke; Wendy Barclay; Helen Ward; Ara Darzi; Deborah Ashby; Christl A. Donnelly; et al. (PLoS Comput. Biol., 2022)

Phylo2Vec: a vector representation for binary trees. - Matthew J. Penn; Neil Scheidwasser; Mark P. Khurana; David A. Duchêne; Christl A. Donnelly; Samir Bhatt (CoRR, 2023)

Leaping through tree space: continuous phylogenetic inference for rooted and unrooted trees. - Matthew J. Penn; Neil Scheidwasser; Joseph Penn; Christl A. Donnelly; David A. Duchêne; Samir Bhatt (CoRR, 2023)

Continuous football player tracking from discrete broadcast data. - Matthew J. Penn; Christl A. Donnelly; Samir Bhatt (CoRR, 2023)

A simulation-based method to inform serosurvey design for estimating the force of infection using existing blood samples. - Anna Vicco; Clare P. McCormack; Belen Pedrique; John H. Amuasi; Anthony Afum-Adjei Awuah; Christian Obirikorang; Nicole S. Struck; Eva Lorenz; Jürgen May; Isabela Ribeiro; Gathsaurie Neelika Malavige; Christl A. Donnelly; et al. (PLoS Comput. Biol., 2023)

Artificial intelligence for modelling infectious disease epidemics. - Moritz U. G. Kraemer; Joseph L.-H. Tsui; Serina Chang; Spyros Lytras; Mark P. Khurana; Samantha Vanderslott; Sumali Bajaj; Neil Scheidwasser; Jacob Liam Curran-Sebastian; Elizaveta Semenova; Mengyan Zhang; H. Juliette T. Unwin; et al. (Nat., 2025)

GLANCE: Graph Logic Attention Network with Cluster Enhancement for Heterophilous Graph Representation Learning. - Zhongtian Sun; Anoushka Harit; Alexandra I. Cristea; Christl A. Donnelly; Pietro Liò (CoRR, 2025)