ReCOVER

버전 2.01 (637 KB) 작성자: Ajitesh Srivastava
- Country and US state-level forecasts for COVID-19 using heterogeneous infection rate model - Data-driven identification of unreported case
5.0
(1)
다운로드 수: 83
업데이트 날짜: 2020/6/15

라이선스 보기

This is a part of the following NSF project:
ReCOVER: Accurate Predictions and Resource Allocation for COVID-19 Epidemic Response
PIs: Viktor K. Prasanna (prasanna@usc.edu), Ajitesh Srivastava (ajiteshs@usc.edu)
University of Southern California

This repository contains some codes for our ongoing work on NSF-funded project on COVID-19 forecasting.
We use our own epidemic model called SI-kJalpha - Heterogeneous Infection Rate with Human Mobility.

For live script for forecasting, run: plot_gen.mlx
For detecting unreported cases use: daily_explore_unrep.mlx

Our relevant presentation: https://www.youtube.com/watch?v=ll6k8wlxOFo
Our paper on forecasting: https://arxiv.org/abs/2004.11372
Paper on detecting unreported cases: https://arxiv.org/abs/2006.02127

인용 양식

Ajitesh Srivastava (2024). ReCOVER (https://www.mathworks.com/matlabcentral/fileexchange/75281-recover), MATLAB Central File Exchange. 검색됨 .

MATLAB 릴리스 호환 정보
개발 환경: R2020a
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux
카테고리
Help Center 및 MATLAB Answers에서 Biological and Health Sciences에 대해 자세히 알아보기

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

ReCOVER/scripts

ReCOVER/scripts

버전 게시됨 릴리스 정보
2.01

Fixed a forecast lag
2.0

Added smoothing in forecasting. Also added possibility of detecting unreported cases
1.1

Improved hyperparameter search. Added pre-calculated hyper-parameters for various days in the past.
Also added scripts to generate dynamic reproductive number
1.0.1

Added some comments
1.0.0