Mauricio Sadinle, Department of Biostatistics, School of Public Health, UW

Multiple-systems or capture–recapture estimation are common techniques for population size estimation, particularly in the quantitative study of human rights violations. These methods rely on multiple samples from the population, along with the information of which individuals appear in which samples. The goal of record linkage techniques is to identify unique individuals across samples based on the information collected on them.

Please join us to celebrate Professor Charles Hirschman’s academic achievements and contributions. The Symposium “Looking Back to Find the Future: Reflections from Social Science for a Changing World” will include provocations and reflections with Deans Robert Stacey and Sandra Archibald, Distinguished Visitors Patrick Heuveline, Maria-Giovanna Merli, Alejandro Portes, Kenneth Prewitt & Marta Tienda, UW Professors Dan Chirot, Sara Curran, Mark Long, Celia Lowe & Katherine Stovel and MC’ing by Jerry Herting & Stew Tolnay.

RSVP and share a tribute for Charlie here.

Racial residential segregation has been linked to adverse health outcomes, but prior studies have not examined the effect of neighborhood-level racial segregation on cardiometabolic risk (CMR), as well as whether associations differ by race/ethnicity. CSDE Affiliate Anjum Hajat, Assistant Professor of Epidemiology at UW, examines this association in the recently co-authored paper “Neighborhood segregation and cardiometabolic risk: The multiethnic study of atherosclerosis”.

A recent study co-authored by CSDE affiliate Steven Goodreau, Professor of Anthropology at UW, examines how addressing gaps in HIV preexposure prophylaxis (PrEP) can reduce racial disparities in HIV incidence in the United States. Using a network-based model of HIV transmission for younger black and white men who have sex with men in the Atlanta area, the authors evaluate how race-stratified transitions through the PrEP care continuum from initiation to adherence and retention could impact HIV incidence overall and disparities in incidence between races.