Identification of Patterns in Epidemic Cycles and Methods for Estimating Their Duration: COVID-19 Case Study1
Por um escritor misterioso
Last updated 29 março 2025

medRxiv - The Preprint Server for Health Sciences

Identification of Patterns in Epidemic Cycles and Methods for Estimating Their Duration: COVID-19 Case Study1

Prediction and assessment of the impact of COVID-19 lockdown on air quality over Kolkata: a deep transfer learning approach

Unraveling complex causal processes that affect sustainability requires more integration between empirical and modeling approaches

Frontiers Time trends in mental health indicators in Germany's adult population before and during the COVID-19 pandemic

Long covid outcomes at one year after mild SARS-CoV-2 infection: nationwide cohort study

Identification of Patterns in Epidemic Cycles and Methods for Estimating Their Duration: COVID-19 Case Study1
Appendix E Study 1 and Study 2: Deterministic and Probabilistic Forecasting, Risk Assessment Techniques for Transportation Asset Management: Appendices

Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy

Projecting the Potential Impact of COVID-19 School Closures on Academic Achievement - Megan Kuhfeld, James Soland, Beth Tarasawa, Angela Johnson, Erik Ruzek, Jing Liu, 2020

Long COVID and Significant Activity Limitation Among Adults, by Age — United States, June 1–13, 2022, to June 7–19, 2023

A practical guide to mathematical methods for estimating infectious disease outbreak risks - ScienceDirect

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Global impact of the first year of COVID-19 vaccination: a mathematical modelling study - The Lancet Infectious Diseases

Full article: The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of U.S. COVID-19 Cases
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