Fictional pandemic spread.

NIAID Data Ecosystem2026-03-12 收录

传染病预测

疫情动态模拟

数据链接：

https://figshare.com/articles/dataset/Fictional_pandemic_spread_/14697572 数据链接链接失效反馈

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资源简介：

The variable N(t) denotes observed new daily cases, P(t) denotes the prediction of new daily cases, and t is the number of days.

创建时间：

2021-05-28

基于应急医疗资源的需求预测算法模型及运行仿真数据

医疗应急资源

传染病预测

基于应急医疗资源的需求预测算法模型及运行仿真数据主要面向城市人群接触网络时空特征的研究，并支撑城市不同区域分发点应急医疗资源需求预测需求。该数据集通过系统性收集和整理深圳市各区域的人口、经济、医疗等基础数据，结合设计的传染病传播风险预测算法，以指导区域应急资源的储备与调配。数据集主要包括相关算法和资源需求预测仿真等数据信息。数据量约为3.7MB。

国家基础学科公共科学数据中心110

Keywords most highly correlated with HFMD cases.

传染病预测

健康监测

Keywords most highly correlated with HFMD cases.

Figshare2016-06-09 更新30

Measurable and estimated states for each class of epidemiological model.

流行病学模型

传染病预测

Measurable and estimated states for each class of epidemiological model.

NIAID Data Ecosystem00

Data from: Anticipating the emergence of infectious diseases

传染病预测

早期预警系统

In spite of medical breakthroughs, the emergence of pathogens continues to pose threats to both human and animal populations. We present candidate approaches for anticipating disease emergence prior t

DataONE2017-07-11 更新70

Additional file 3 of A multivariate multi-step LSTM forecasting model for tuberculosis incidence with model explanation in Liaoning Province, China

传染病预测

气象健康影响

Additional file 3. Meteorological factors (raw data).

Figshare2022-05-23 更新10