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Thursday, May 23 / 4:00 PM - 5:30 PM Mphasa-Mbuna Room

Session 99
Computational approaches to population studies in Africa

Chair: Vissého Adjiwanou, Université Du Québec à Montréal

1. Who Really Wants to Be a Millionaire? How Digital Platforms Reproduce, Reflect and Reinforce Gender NormsCharles Asabere, University of Ghana, Regional Institute for Population Studies; Salifou Mohamadou, Not affiliation; Tosin Oni, Obafemi Awolowo University; Ayodele Akinyele, University of Ibadan; Fidelia A. A. Dake, Regional Institute For Population Studies, University Of Ghana; Lateef Amusa, No Affiliation.

2. Estimating District-Level HIV Incidence among Women in Malawi Using Antenatal Care (ANC) DataKatherine Jia, Harvard University; Andreas Jahn, Directorate of HIV, STI, & Viral Hepatitis, Ministry of Health; Tiwonge Chimandule, Directorate of HIV, STI, & Viral Hepatitis, Ministry of Health; Rose Nyirenda, Directorate of HIV, STI, & Viral Hepatitis, Ministry of Health; Jeff Imai-Eaton, Harvard University.

3. Social Capital Mediates Knowledge Gaps in Informing Sexual and Reproductive Health Behaviours across AfricaTill Koebe, Saarland University; Theophilus Aidoo, Saarland University; Ridhi Kashyap, University of Oxford; Douglas R Leasure, Leverhulme Centre for Demographic Science, Department of Sociology, University of Oxford; Valentina Rotondi, University of Applied Sciences and Arts of Southern Switzerland; Ingmar Weber, Saarland University.

4. Geospatial Smoothing for Lower-Level Estimation: A Case Study of the Uganda Demographic and Health Survey for Generating Lower-Level Substandard Household Living Conditions IndexKananura Rornald Muhumuza, Makerere University School of Public Health; Peter Waiswa, Makerere University School of Public Health; Ties Boerma, University of Manitoba; Aduragbemi Banke-Thomas, London School of Hygiene and Tropical Medicine; Peter Macharia, Institiute of Tropical Medicine; Lenka Benova, Institute of Tropical Medicine, Antwerp; Ronald Wasswa, Makerere University School of Public Health.

5. Integrating Multiple Household-Based Data with Satellite-Based Observations to Produce High-Resolution Population Estimates in Lmics Using Inla-SpdeChibuzor Christopher Nnanatu, University of Southampton; Ortis Yankey, University of Southampton; Anaclet Dzossa, Institut National de la Statistique du Cameroun; Thomas Abbott, University of Southampton; Assane Gadiaga, University of Southampton; Attila Lazar, University of Southampton; Andrew J. Tatem, University of Southampton.

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