HSPH

Spatiotemporal pattern of COVID-19 spread in Brazil

In collaboration with Dr. Marcia Castro of the T.H. Chan Harvard School of Public Health, the CGA analyzed the pattern of spread of COVID-19 cases and deaths in Brazil from February to October 2020.  Weekly geographic centroids locations weighted by municipal COVID-19 case and death counts were created on the national and state level.  Visualizations were created of the centroid progression over time.  Read more in this ...

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GHP 534 - Introduction to Spatial Methods for Public Health

This is an introductory level course in the conceptual and analytic tools used to understand how spatial distributions of exposure impact on processes and patterns of disease. It covers methods that allow: (i) examination of patterns of health and disease in place and time, (ii) application of geospatial technologies and methods for epidemiology, (iii) analysis of time-space relations, (iv) identification of clusters and diffusion of disease, and (v) study of geographical epidemiology of selected infectious and noninfectious diseases.Course Activities: Assigned readings must be read in...

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COVID-19 Metrics for United States Congressional Districts

Nearly a year into the global pandemic, data on COVID-19 metrics for the United States Congressional Districts (CD) had not been readily available. Yet, having access to such data can substantially enhance the ability of elected officials and the constituents they represent to monitor and develop testing strategies and other measures to allow their districts to open safely.

Researchers at the ...

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Geographic Apportioning of Health Indicators for Policy Relevant Decision Making

For elected officials to best represent constituencies they serve, information must be presented and analyzed for the entire geographic extent of their constituency. Health indicators are often collected and reported at census geographies, or other units that do not conform to constituency boundaries. To address this lack of health data being reported at policy relevant geographies, the Harvard Center for Population and Development Studies Geographic Insights team (...

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U.S. Air Pollution Modeling

CGA created maps that display PM 2.5 and Ozone for the US by County from 2000 - 2012, which involved cross-tabulation of monitoring sites within  county boundaries.

Investigators:  Francesca Dominici and Christine Choirat, Department of Biostatistics, HSPH

Research Staff:  Fei Carnes, Jeff Blossom

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