52.
Using data science and machine learning techniques to understand behavioural responses to COVID-19 in Kenya •
Francis Obare, Population Council;
Louis Graham, Busara Center for Behavioral Economics;
George Odwe, Population Council
;
Mathilde Schilling, Busara Center for Behavioral Economics;
Daniel Mwanga, Population Council;
Jaspreet Singh, Busara Center for Behavioral Economics;
Eva Muluve, Population Council.
53.
Demography & the rise, apparent fall, and resurgence of eugenics •
Rebecca Sear, London School of Hygiene and Tropical Medicine (LSHTM).
54.
Lee-Carter cohort mortality forecasts •
Ugofilippo Basellini, Max Planck Institute for demographic Research;
Carlo Giovanni Camarda, Institut National d'Études Démographiques (INED).
55.
Contextualizing gender and regional differences in quality of age reporting in India: Application of post data collection quality indicators •
Mohammed Illias Sheikh, International Institute for Population Sciences (IIPS);
Babul Hossain, International Institute for Population Sciences (IIPS).
56.
The Demography of COVID-19 Deaths. A gateway to well-documented international data •
Arianna Caporali, Institut National d'Études Démographiques (INED);
Etienne Couppié, Institut national d'études démographiques (INED);
jenny garcia, Institut National d'Études Démographiques (INED);
Iris Hourani, Institut national d'études démographiques INED;
Svitlana Poniakina, Insitut National D'Études Démographiques;
Magali Barbieri, Institut National d'Études Démographiques (INED);
Florian Bonnet, Institut National d'Études Démographiques (INED);
Carlo Giovanni Camarda, Institut National d'Études Démographiques (INED);
Emmanuelle Cambois, Institut National d'Études Démographiques (INED);
Daria Korotkova, Ptoukha Institute for Demography and Social Studies of the National Academy of Sciences of Ukraine;
France Meslé, Institut National d'Études Démographiques (INED);
Olga Penina, Nicolae Testemitanu State University Of Medicine And Pharmacy Of The Republic Of Moldova;
Jean-Marie Robine, Institut National de la Santé et de la Recherche Médicale (INSERM);
Markus Sauerberg, Federal Institute for Population Research;
Catalina Torres, Muséum National D'histoire Naturelle.
57.
Exploratory Spatial Data Analysis (ESDA) of Maternal and Child Healthcare services in India from 1992-93 to 2015-16. •
Gulshan Kumar, International Institute for Population Sciences (IIPS);
Reshmi R.S., International Institute for Population Sciences.
58.
Access to digital education and learning in the times of COVID-19: a latent class analysis •
Santanu Pramanik, National Council of Applied Economic Research, India;
Reem Ashraf, National Council of Applied Economic Research;
Bijay Chouhan, National Council of Applied Economic Research;
Sonalde B. Desai, University of Maryland.
59.
A Structured-Additive Modeling of Diabetes and Hypertension in Northeast India •
Strong P Marbaniang, International Institute for Population Sciences (IIPS);
Holendro Singh, BBC World Service Trust;
H Lhungdim, International Institute for Population Sciences.
60.
INTÉRÊT DES COORDONNÉES GÉOGRAPHIQUES DANS LE TRAITEMENT DES DONNÉES DE RECENSEMENT A L'ÈRE DU NUMÉRIQUE : CAS DU 5e RGPH DU BURKINA FASO •
Hervé Bassinga, Institut Supérieur des Sciences de la Population (ISSP) / Université de Ouagadougou;
Parfait Yira, INSD Burkina;
Hamado Tondé, INSD Burkina;
Abdou Nombré, INSD Burkina;
Noufou Sawadogo, INSD Burkina.
61.
Examining Determinants of IUD Use in India: An Exploratory Analysis of the National Family Health Surveys (NFHS-4) using Machine Learning •
Arnab Dey, Pre-Doctoral Fellow;
Nabamallika Dehingia, Center on Gender Equity and Health, UC San Diego;
Nandita Bhan, Jindal School Of Public Health And Human Development (JSPH), O.P. Jindal Global University;
Edwin Thomas, Center on Gender Equity and Health, UC San Diego;
Lotus McDougal, University of California, San Diego;
Sarah Averbach, Center on Gender Equity and Health, UC San Diego;
Julian McAuley, .;
Abhishek Singh, International Institute for Population Sciences (IIPS);
Anita Raj, University of California, San Diego.
62.
L'impact des erreurs de déclaration et de codage sur l'étude des couples de même sexe en France : illustration au travers de l'enquête EPIC. •
Maïlys Goetschy, Université Marc Bloch, Strasbourg;
Philippe Cordazzo, Université de Strasbourg.
63.
Spatialité et temporalité de l’épidémie de la Covid-19 au Sénégal. Le processus de production des données sanitaires au regard des discontinuités territoriales •
Véronique Petit, Université de Paris;
Nelly Robin, IRD.
64.
Bayesian Poisson Regression for Reconstructing Fertility Rates •
Afua Durowaa-Boateng, Vienna Institute of Demography;
Dilek Yildiz, International Institute for Applied Systems Analysis.
65.
Methodological advances to explore the relations between environmental changes, emotions and the decision (not to) move. •
Elisabeth Henriet, Facultés Universitaires Notre-dame de La Paix;
Florence De Longueville, Facultés Universitaires Notre-Dame de la Paix, Belgium;
Sabine J. F. Henry, University of Namur.
