Multilevel regression and poststratification interface: an application to track community-level COVID-19 viral transmission

The interface provides timely, substantive insights into population health trends and serves as a valuable surveillance tool for future epidemic preparedness. Beyond monitoring COVID-19, the MRP interface can analyze a wide range of health and social science data, making it broadly applicable to diverse research areas with reproducibility and scientific rigor.

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Publication Details

Journal
Population Health Metrics
Published
2026-02-03
DOI
https://doi.org/10.1186/s12963-026-00456-7
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Multilevel regression and poststratification interface: an application to track community-level COVID-19 viral transmission

Toan Tran, Jonah Gabry, Mitzi Morris, Andrew E. Gelman et al.
Population Health Metrics
COVID-19 epidemiological studies
article

Multilevel regression and poststratification interface: an application to track community-level COVID-19 viral transmission

Toan Tran, Jonah Gabry, Mitzi Morris, Andrew E. Gelman, Yajuan Si
article en

Abstract

The interface provides timely, substantive insights into population health trends and serves as a valuable surveillance tool for future epidemic preparedness. Beyond monitoring COVID-19, the MRP interface can analyze a wide range of health and social science data, making it broadly applicable to diverse research areas with reproducibility and scientific rigor.

Population Health MetricsVol. 24(1)
Economic Policy Institute (US), Institute for Social Research (NO), Columbia University (US)
Good health and well-being
Openalex Percentile: Top 69%
COVID-19 epidemiological studies
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