Marie-Laure Charpignon
Biographic Data
| ID | 1939933 |
|---|---|
| NAME | Marie-Laure Charpignon |
| GIVEN NAMES | Marie-Laure |
| FAMILY NAME | Charpignon |
| SIGNATURE | CHARPIGNON M |
| AFFILIATIONS | Jay Chandra is with Harvard Medical School, Harvard University, Boston, MA. Marie-Laure Charpignon and Munther A. Dahleh are with the Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge. Anushka Bhaskar and Andrew Therriault are with the Department of Government, Harvard University, Cambridge. Yea-Hung Chen is with the Department of Epidemiology and Biostatistics, University of California, San Francisco. Alyssa Mooney is with the Institute for Health Policy Studies,... |
| ORCID | 0000-0002-5786-2627 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Inequities in Excess Pandemic Mortality Among Documented and Undocumented Immigrants in California, 2020–2023
Objectives. To examine how excess mortality during the COVID-19 pandemic differed by legal status and its intersections with sociodemographic factors, overall and among working-age Latinos. Methods. Using death records from Californian adults (aged ≥ 25 years) with a natural cause of death, we estimated excess mortality between March 2020 and May 2023, using ARIMA (autoregressive integrated moving average) models fit to prepandemic data spanning …
Excess Fatal Overdoses in the United States During the Covid-19 Pandemic by Geography and Substance Type
Objectives. To assess heterogeneity in pandemic-period excess fatal overdoses in the United States, by location (state, county) and substance type. Methods. We used seasonal autoregressive integrated moving average (SARIMA) models to estimate counterfactual death counts in the scenario that no pandemic had occurred. Such estimates were subtracted from actual death counts to assess the magnitude of pandemic-period excess mortality between March 20…
What we should learn from pandemic publishing
No prominent works on this page.
Excess Fatal Overdoses in the United States During the Covid-19 Pandemic by Geography and Substance Type
Objectives. To assess heterogeneity in pandemic-period excess fatal overdoses in the United States, by location (state, county) and substance type. Methods. We used seasonal autoregressive integrated moving average (SARIMA) models to estimate counterfactual death counts in the scenario that no pandemic had occurred. Such estimates were subtracted from actual death counts to assess the magnitude of pandemic-period excess mortality between March 20…
What we should learn from pandemic publishing
Inequities in Excess Pandemic Mortality Among Documented and Undocumented Immigrants in California, 2020–2023
Objectives. To examine how excess mortality during the COVID-19 pandemic differed by legal status and its intersections with sociodemographic factors, overall and among working-age Latinos. Methods. Using death records from Californian adults (aged ≥ 25 years) with a natural cause of death, we estimated excess mortality between March 2020 and May 2023, using ARIMA (autoregressive integrated moving average) models fit to prepandemic data spanning …
Medicine (3 works) · Pandemic (3 works) · Coronavirus disease 2019 (COVID-19) (2 works) · Demography (2 works) · Disease (2 works) · Environmental health (2 works) · Excess mortality (2 works) · Infectious disease (medical specialty) (2 works) · Population (2 works) · Public health (2 works)