[HTML][HTML] HIV-Specific Reported outcome measures: Systematic review of psychometric properties
Z Wang, Y Zhu, X Duan, H Kang… - JMIR Public Health and …, 2022 - publichealth.jmir.org
Background The management of people living with HIV and AIDS is multidimensional and
complex. Using patient-reported outcome measures (PROMs) has been increasingly …
complex. Using patient-reported outcome measures (PROMs) has been increasingly …
Forecasting and surveillance of COVID-19 spread using Google trends: literature review
T Saegner, D Austys - International journal of environmental research and …, 2022 - mdpi.com
The probability of future Coronavirus Disease (COVID)-19 waves remains high, thus COVID-
19 surveillance and forecasting remains important. Online search engines harvest vast …
19 surveillance and forecasting remains important. Online search engines harvest vast …
[HTML][HTML] Predicting new daily COVID-19 cases and deaths using search engine query data in South Korea from 2020 to 2021: infodemiology study
Background Given the ongoing COVID-19 pandemic situation, accurate predictions could
greatly help in the health resource management for future waves. However, as a new entity …
greatly help in the health resource management for future waves. However, as a new entity …
Google Trends as a predictive tool in the era of COVID-19: a scoping review
BA Zayed, AM Talaia, MA Gaaboobah… - Postgraduate …, 2023 - academic.oup.com
Google Trends has been extensively used in different sectors from finance to tourism, the
economy, fashion, the fun industry, the oil trade, and healthcare. This scoping review aims to …
economy, fashion, the fun industry, the oil trade, and healthcare. This scoping review aims to …
Using internet search data to forecast COVID-19 trends: a systematic review
Since the outbreak of the coronavirus disease pandemic (COVID-19) at the end of 2019,
many scientific groups have been working towards solutions to forecast outbreaks. Accurate …
many scientific groups have been working towards solutions to forecast outbreaks. Accurate …
Human behavior in the time of COVID-19: Learning from big data
Since the World Health Organization (WHO) characterized COVID-19 as a pandemic in
March 2020, there have been over 600 million confirmed cases of COVID-19 and more than …
March 2020, there have been over 600 million confirmed cases of COVID-19 and more than …
[HTML][HTML] Discovering Time-Varying Public Interest for COVID-19 Case Prediction in South Korea Using Search Engine Queries: Infodemiology Study
Background The number of confirmed COVID-19 cases is a crucial indicator of policies and
lifestyles. Previous studies have attempted to forecast cases using machine learning …
lifestyles. Previous studies have attempted to forecast cases using machine learning …
[HTML][HTML] Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review
EC Clark, S Neumann, S Hopkins… - JMIR Public Health …, 2024 - publichealth.jmir.org
Background: Public health surveillance plays a vital role in informing public health decision-
making. The onset of the COVID-19 pandemic in early 2020 caused a widespread shift in …
making. The onset of the COVID-19 pandemic in early 2020 caused a widespread shift in …
[HTML][HTML] Crowdsourced Perceptions of Human Behavior to Improve Computational Forecasts of US National Incident Cases of COVID-19: Survey Study
Background Past research has shown that various signals associated with human behavior
(eg, social media engagement) can benefit computational forecasts of COVID-19. One …
(eg, social media engagement) can benefit computational forecasts of COVID-19. One …
Analysing the impact of comorbid conditions and media coverage on online symptom search data: a novel AI-based approach for COVID-19 tracking
Background Web search data have proven to bea valuable early indicator of COVID-19
outbreaks. However, the influence of co-morbid conditions with similar symptoms and the …
outbreaks. However, the influence of co-morbid conditions with similar symptoms and the …