University of Minnesota-Twin Cities · Social SciencePopulation Health Data Lab
Elizabeth H Boyle · Minneapolis, Minnesota
Research Focus
Elizabeth H Boyle's research lab focuses on utilizing extensive data from demographic and health surveys to enhance understanding of population health, particularly in low- and middle-income countries. The lab aims to integrate various health and demographic data sources, allowing for in-depth analysis of health issues affecting women and children, such as nutrition, maternal health, and the impacts of environmental factors. This work is crucial for informing public health initiatives and improving health outcomes globally.
Demographic Health SurveysChild HealthPopulation HealthData IntegrationPublic Health ResearchHealth EquityMaternal HealthNutritionGlobal HealthSocial Determinants of Health
Research Aims
5AIM 01Expand the global coverage of health data to include new regions and the latest surveys.
AIM 02Enhance interoperability with other global health data to enable comparative research.
AIM 03Increase the number of variables related to social and environmental influences on health.
AIM 04Simplify data management tasks for researchers to expedite analysis processes.
AIM 05Support and grow the user community to democratize access to population health data.
Skills the Lab Values
Data analysis using statistical softwarePublic health data managementSurvey design and analysisAPI developmentEpidemiological research methodsLongitudinal data analysisCross-national comparative analysisStatistical modelingData visualizationCoding for data extraction
Output against the department
Publications61bottom 23% of dept.59th of 77
this lab
most publishedleast published
Citations1.1kbottom 21% of dept.61st of 77
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.