Forecasting SARS-CoV-2 transmission and clinical risk at small spatial scales by the application of machine learning architectures to syndromic surveillance data-Reference-Cited by-同舟云学术

Forecasting SARS-CoV-2 transmission and clinical risk at small spatial scales by the application of machine learning architectures to syndromic surveillance data

Published:2022-10-21 Issue:10 Volume:4 Page:814-827
ISSN:2522-5839
Container-title:Nature Machine Intelligence
language:en
Short-container-title:Nat Mach Intell

Author:

Ward Thomas^ORCID,Johnsen Alexander,Ng Stanley,Chollet François

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software

Link

https://www.nature.com/articles/s42256-022-00538-9.pdf

Reference85 articles.

1. Wu, S. L. et al. Substantial underestimation of SARS-CoV-2 infection in the United States. Nat. Commun. 11, 4507 (2020).

2. Ward, T. & Johnsen, A. Understanding an evolving pandemic: an analysis of the clinical time delay distributions of COVID-19 in the United Kingdom. PLoS ONE 16, e0257978 (2021).

3. Linton, N. et al. Incubation period and other epidemiological characteristics of 2019 novel coronavirus infections with right truncation: a statistical analysis of publicly available case data. J. Clin. Med. 9, 538 (2020).

4. Davies, N. et al. Age-dependent effects in the transmission and control of COVID-19 epidemics. Nat. Med. 26, 1205–1211 (2020).

5. Mobile-powered data and insights (O2, 2022); https://www.o2.co.uk/business/solutions/mobile/data-mobile/o2-motion

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Naive Bayes classifier – An ensemble procedure for recall and precision enrichment;Engineering Applications of Artificial Intelligence;2024-10

2. A hybrid 3DSE-CNN-2DLSTM model for compound fault detection of wind turbines;Expert Systems with Applications;2024-05

3. Forecasting healthcare service volumes with machine learning algorithms;Journal of Forecasting;2024-04-11

4. Interdisciplinary Dynamics in COVID-19 Research: Examining the Role of Computer Science and Collaboration Patterns;Systems;2024-03-28

5. Harnessing the power of artificial intelligence to combat infectious diseases: Progress, challenges, and future outlook;The Innovation Medicine;2024