LATEST MANUSCRIPTS IN International Journal of Population Data Science
Branislav Igic, Rachel Farber, Maria Alfaro-Ramirez, Michael A Nelson, Lee K Taylor. The impact of cross-jurisdictional patient flows on ascertainment of hospitalisations and cardiac procedures for ST-segment-elevation myocardial infarction in an Australian population.International journal of population data science. 2023, 8 (1): 1751
Katharina Diernberger, Xhyljeta Luta, Joanna Bowden, Joanne Droney, Elizabeth Lemmon, Giovanni Tramonti, Bethany Shinkins, Ewan Gray, Joachim Marti, Peter S Hall. Variation in hospital cost trajectories at the end of life by age, multimorbidity and cancer type.International journal of population data science. 2023, 8 (1): 1768
Themba Mutemaringa, Alexa Heekes, Mariette Smith, Andrew Boulle, Nicki Tiffin. Record linkage for routinely collected health data in an African health information exchange.International journal of population data science. 2023, 8 (1): 1771
Jeanne Sinclair, Scott Davies, Magdalena Janus. Student achievement trajectories in Ontario: Creating and validating a province-wide, multi-cohort and longitudinal database.International journal of population data science. 2023, 8 (1): 1843
Jamie Danemayer, Sophie Mitra, Cathy Holloway, Shereen Hussein. Assistive technology access in longitudinal datasets: a global review.International journal of population data science. 2023, 8 (1): 1901
Francesca L Cavallaro, Rebecca Cannings-John, Fiona Lugg-Widger, Ruth Gilbert, Eilis Kennedy, Sally Kendall, Michael Robling, Katie L Harron. Lessons learned from using linked administrative data to evaluate the Family Nurse Partnership in England and Scotland.International journal of population data science. 2023, 8 (1): 2113
Peter Christen, Rainer Schnell. Thirty-three myths and misconceptions about population data: from data capture and processing to linkage.International journal of population data science. 2023, 8 (1): 2115
Lindsay A Pearce, Rohan Borschmann, Jesse T Young, Stuart A Kinner. Advancing cross-sectoral data linkage to understand and address the health impacts of social exclusion: Challenges and potential solutions.International journal of population data science. 2023, 8 (1): 2116
Shona M Kerr, Rachel Edwards, David Buchanan, John Dean, Zosia Miedzybrodzka, James F Wilson. VIKING II, a worldwide observational cohort of volunteers with northern isles ancestry.International journal of population data science. 2023, 8 (1): 2121
Rainer Schnell, Severin Weiand. Microsimulation of an educational attainment register to predict future record linkage quality.International journal of population data science. 2023, 8 (1): 2122
Nadine E Andrew, Richard Beare, Tanya Ravipati, Emily Parker, David Snowdon, Kim Naude, Velandai Srikanth. Developing a linked electronic health record derived data platform to support research into healthy ageing.International journal of population data science. 2023, 8 (1): 2129
Piotr Teodorowski, Sarah E Rodgers, Kate Fleming, Naheed Tahir, Saiqa Ahmed, Lucy Frith. Exploring how to improve the involvement of Polish and South Asian communities around big data research. A qualitative study using COM-B model.International journal of population data science. 2023, 8 (1): 2130
Julia Nadine Doetsch, Eero Kajantie, Vasco Dias, Marit S Indredavik, Randi Kallar Devold, Raquel Teixeira, Jarkko Reittu, Henrique Barros. Record linkage as a vital key player for the COVID-19 syndemic - The call for legal harmonization to overcome research challenges.International journal of population data science. 2023, 8 (1): 2131
Iffat Naeem, Meriem Aroua, Nashit Chowdhury, Vineet Saini, Hude Quan, Tanvir C Turin. Color coded health data: factors related to willingness to share health information in South Asian community members in Canada.International journal of population data science. 2023, 8 (1): 2134
Jing Wang, Yanhong Jessika Hu, Lana Collins, Anna Fedyukova, Varnika Aggarwal, Fiona Mensah, Jeanie L Y Cheong, Melissa Wake, . Study protocol: Generation Victoria (GenV) special care nursery registry.International journal of population data science. 2023, 8 (1): 2139