US COVID-19 in Two Regimes

NIAID Data Ecosystem2026-03-13 收录

疫情传播预测

政策干预效果分析

数据链接：

https://doi.org/10.7910/DVN/TMFVWM 数据链接链接失效反馈

官方服务：

资源简介：

This data is from multiple datasources for predicting COVID cases in the United States in two distinct regimes: lockdown and reopen.

创建时间：

2021-11-11

Predict the next moves of COVID-19

疫情传播预测

流行病学建模

COVID-19 spread and fatality tend to be high across the world but compared to tropical countries, it is going to be incredibly high in the temperate countries having lower temperature (7-16°C) and hum

NIAID Data Ecosystem100

Multiple linear regression table with R 2 , coefficient and p value for input features ( population density, normalized busy airport, pre-infected count, pre-death count ) and observed factors ( post-infected count and post-death count ).

流行病学建模

疫情传播预测

Multiple linear regression table with R2, coefficient and p value for input features (population density, normalized busy airport, pre-infected count, pre-death count) and observed factors (post-infec

NIAID Data Ecosystem20

Dashboard COVID-19 Early Warning System – documentation and data

疫情传播预测

公共卫生监测

This is the documentation and the data for the interactive dashboard that predicts the spreading of COVID-19 on municipality level. The predictions are based on epidemic model that uses mobility infor

Figshare2022-10-07 更新10

covid-19 brazil model RAMAS files

流行病学建模

疫情传播预测

RAMAS files from our model for covid in brazil

Mendeley Data2020-07-19 更新20

Best fit parameters and 95% confidence intervals for COVID epidemics in California, Florida, New York, Texas.

流行病学建模

疫情传播预测

Best fit parameters and 95% confidence intervals for COVID epidemics in California, Florida, New York, Texas.

NIAID Data Ecosystem20