Zobrazeno 1 - 10
of 801 870
pro vyhledávání: '"Hospitalization / statistics '
Viral signal in wastewater offers a promising opportunity to assess and predict the burden of infectious diseases. That has driven the widespread adoption and development of wastewater monitoring tools by public health organizations. Recent research
Externí odkaz:
http://arxiv.org/abs/2410.07487
Autor:
Wadsworth, Spencer, Niemi, Jarad
The annual influenza outbreak leads to significant public health and economic burdens making it desirable to have prompt and accurate probabilistic forecasts of the disease spread. The United States Centers for Disease Control and Prevention (CDC) ho
Externí odkaz:
http://arxiv.org/abs/2412.14339
Autor:
McAndrew, Thomas, Lechmanik, Mark, Hulland, ErinN., Truelove, Shaun, Ilodigwe, Mark, Majumder, Maimuna
Infectious disease forecasts can reduce mortality and morbidity by supporting evidence-based public health decision making. Most epidemic models train on surveillance and structured data (e.g. weather, mobility, media), missing contextual information
Externí odkaz:
http://arxiv.org/abs/2410.07236
Autor:
Lu Zhou1, Cong Liu1, Cheng He1,2, Jian Lei1, Yixiang Zhu1, Ya Gao1, Jianwei Xuan3, Haidong Kan1,4 kanh@fudan.edu.cn, Renjie Chen1,5 chenrenjie@fudan.edu.cn
Publikováno v:
Environmental Health Perspectives. May2024, Vol. 132 Issue 5, p057005-1-057005-9. 9p.
Autor:
da Silva, Reizane Maria Damasceno1, Andreotti Dias, Mariana1, Ferreira Barbosa, Vitória Rodrigues1, Jablinski Castelhano, Francisco2, James, Peter3,4, Requia, Weeberb J.1 weeberb.requia@fgv.br
Publikováno v:
Environmental Health Perspectives. Jun2024, Vol. 132 Issue 6, p067006-1-067006-10. 10p.
Predicting the risk of death for chronic patients is highly valuable for informed medical decision-making. This paper proposes a general framework for dynamic prediction of the risk of death of a patient given her hospitalization history, which is ge
Externí odkaz:
http://arxiv.org/abs/2406.04849
Autor:
Ahmad, Asmaa, Valachovic, Edward
The outbreak of the SARS-CoV-2 virus, which led to an unprecedented global pandemic, has underscored the critical importance of understanding seasonal patterns. This knowledge is fundamental for decision-making in healthcare and public health domains
Externí odkaz:
http://arxiv.org/abs/2404.11006
The Time Since Infection (TSI) models, which use disease surveillance data to model infectious diseases, have become increasingly popular recently due to their flexibility and capacity to address complex disease control questions. However, a notable
Externí odkaz:
http://arxiv.org/abs/2403.12243
Publikováno v:
Appl Intell, 2022, 52, 794-807
A short introduction to survival analysis and censored data is included in this paper. A thorough literature review in the field of cure models has been done. An overview on the most important and recent approaches on parametric, semiparametric and n
Externí odkaz:
http://arxiv.org/abs/2401.17347
Network time series are becoming increasingly important across many areas in science and medicine and are often characterised by a known or inferred underlying network structure, which can be exploited to make sense of dynamic phenomena that are ofte
Externí odkaz:
http://arxiv.org/abs/2312.00530