Wastewater-based epidemiology predicts COVID-19-induced weekly new hospital admissions in over 150 USA counties

X Li, H Liu, L Gao, SP Sherchan, T Zhou… - Nature …, 2023 - nature.com
Although the coronavirus disease (COVID-19) emergency status is easing, the COVID-19
pandemic continues to affect healthcare systems globally. It is crucial to have a reliable and …

Incorporating variant frequencies data into short-term forecasting for COVID-19 cases and deaths in the USA: a deep learning approach

H Du, E Dong, HS Badr, ME Petrone, ND Grubaugh… - Ebiomedicine, 2023 - thelancet.com
Background Since the US reported its first COVID-19 case on January 21, 2020, the science
community has been applying various techniques to forecast incident cases and deaths. To …

Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations

SM Mathis, AE Webber, TM León, EL Murray… - Nature …, 2024 - nature.com
Accurate forecasts can enable more effective public health responses during seasonal
influenza epidemics. For the 2021–22 and 2022–23 influenza seasons, 26 forecasting …

Infectious disease surveillance needs for the United States: lessons from Covid-19

M Lipsitch, MT Bassett, JS Brownstein… - Frontiers in Public …, 2024 - frontiersin.org
The COVID-19 pandemic has highlighted the need to upgrade systems for infectious
disease surveillance and forecasting and modeling of the spread of infection, both of which …

[HTML][HTML] Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19

AMY Chu, ACY Chong, NHT Lai, A Tiwari… - JMIR Public Health and …, 2023 - jmir.org
Background: The COVID-19 outbreak has revealed a high demand for timely surveillance of
pandemic developments. Google Trends (GT), which provides freely available search …

Novel mobility index tracks COVID-19 transmission following stay-at-home orders

PH Her, S Saeed, KH Tram, SR Bhatnagar - Scientific reports, 2022 - nature.com
Considering the emergence of SARS-CoV-2 variants and low vaccine access and uptake,
minimizing human interactions remains an effective strategy to mitigate the spread of SARS …

A GPT-based EHR modeling system for unsupervised novel disease detection

B Hao, Y Hu, WG Adams, SA Assoumou… - Journal of Biomedical …, 2024 - Elsevier
Abstract Objective To develop an Artificial Intelligence (AI)-based anomaly detection model
as a complement of an “astute physician” in detecting novel disease cases in a hospital and …

Differences in Trends in Admissions and Outcomes among Patients from a Secondary Hospital in Madrid during the COVID-19 Pandemic: A Hospital-Based …

R Garcia-Carretero, O Vazquez-Gomez… - Viruses, 2023 - mdpi.com
Spain had some of Europe's highest incidence and mortality rates for coronavirus disease
2019 (COVID-19). This study highlights the impact of the COVID-19 pandemic on daily …

Forecasting hospital-level COVID-19 admissions using real-time mobility data

B Klein, AC Zenteno, D Joseph, M Zahedi… - Communications …, 2023 - nature.com
Background For each of the COVID-19 pandemic waves, hospitals have had to plan for
deploying surge capacity and resources to manage large but transient increases in COVID …

Decision-making algorithm and predictive model to assess the impact of infectious disease epidemics on the healthcare system: the COVID-19 case study in Italy

A Damone, M Vainieri, MR Brunetto… - IEEE journal of …, 2022 - ieeexplore.ieee.org
To improve decision-making strategies and prediction based on epidemiological data, so far
biased by highly-variable criteria, algorithms using unbiased morbidity parameters, ie …