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[NeurIPS 2020] Data Science for COVID-19 (DS4C) [NeurIPS 2020]用于COVID-19（DS4C）的数据科学
COVID-19已在韩国感染了10,000多人。韩国疾病预防控制中心（KCDC）迅速透明地宣布了COVID-19的信息。我们根据KCDC和地方政府的报告材料制作结构化的数据集。此外，我们使用各种数据挖掘或可视化技术来分析和可视化数据。
阿里云天池2026-07-10 更新90
S7. Fitting Cumberland's data with model instances from the alternative parameterisation from Anchoring the mean generation time in the SEIR to mitigate biases in ℜ 0 estimates due to uncertainty in the distribution of the epidemiological delays
In this appendix, we illustrate the procedure to infer the basic reproduction number (ℜ 0 ) of influenza during the second wave of the 1918 pandemic in Cumberland (Maryland). Specifically, we
DataCite Commons2023-07-21 更新80
The impact of COVID-19 on Urban Hotspots Vitality: An illustrative study on human footfall in Auckland through mobile location data
This resource includes source code and needed data for the analysis for this study
Figshare2023-07-22 更新60
Table_1_COVID-19 Vaccine Hesitancy: Analysing Twitter to Identify Barriers to Vaccination in a Low Uptake Region of the UK.XLSX
To facilitate effective targeted COVID-19 vaccination strategies, it is important to understand reasons for vaccine hesitancy where uptake is low. Artificial intelligence (AI) techniques offer an oppo
NIAID Data Ecosystem70
