This repository serves a shiny app and a dataset developed as part of the EU H2020 funded EXHAUSTION project.

Two-stage interrupted time series analysis of excess mortality in Italy during the COVID-19 pandemic

Climate change health projections under demographic and adaptation scenarios

A tutorial on the case time series design for small-area analysis

Mortality monitoring models using Stan

Code and data used to produce estimates for United States excess mortality by county and quarter during 2020.

An assessment of the role of humidity in associations between temperature and mortality

Supporting Documentation for JAMA Reply to Cruz-Cano and Mead by Santos-Lozada and Howard

An estimate of how many more people died in 2020 than would have been normal based on historical mortality.

Location-Scale Models in Demography: A Useful Re-parameterization of Mortality Models

Analysis of associations of inter and intra-day temperature change with mortality

Spatial disparity in tract-level associations between mental illness mortality and greenspace exposure in the Pacific Northwest

This project analyzes the demographic transition in the United States, focusing on historical changes in fertility and mortality patterns. Using models like Lee-Carter and Renshaw-Haberman, it explores the impact of socio-economic factors, healthcare advancements, and cultural shifts on population dynamics, forecasting trends for the next 50 years.

Code for R shiny app "Mortality in Amsterdam by age group, 1856-1926"

An analysis of long-term mortality risks of air pollution in the UK Biobank

Reservberäkning för livförsäkringar i R

Carl Boe's HMD2R: Human Mortality Database Data Grabber

A tutorial on time series regression in environmental epidemiology