The apple mobility trends data in human mobility patterns during restrictions and prediction of covid-19: a systematic review and meta-analysis

A Strzelecki - Healthcare, 2022 - mdpi.com
The objective of this systematic review with PRISMA guidelines is to discover how
population movement information has epidemiological implications for the spread of COVID …

[HTML][HTML] Long short-term memory–based prediction of the spread of influenza-like illness leveraging surveillance, weather, and twitter data: Model development and …

M Athanasiou, G Fragkozidis, K Zarkogianni… - Journal of Medical …, 2023 - jmir.org
Background The potential to harness the plurality of available data in real time along with
advanced data analytics for the accurate prediction of influenza-like illness (ILI) outbreaks …

Visualization of Covid-19 Data in Indonesia in 2022 through the Google Data Studio Dashboard

WE Putra, B Yanto, F Erwis - Journal of Ict Aplications and …, 2023 - e-jurnal.rokania.ac.id
The COVID-19 pandemic has presented significant challenges to governments, researchers
and the general public in understanding and monitoring the spread of this disease. In an …

Explanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology study

Q Niu, J Liu, Z Zhao, M Onishi, A Kawaguchi… - BMC Infectious …, 2022 - Springer
Abstract Background Coronavirus Disease 2019 (COVID-19) pandemic affects common
diseases, but its impact on hand, foot, and mouth disease (HFMD) is unclear. Google Trends …

[HTML][HTML] A novel approach for the early detection of medical resource demand surges during health care emergencies: Infodemiology study of tweets

M Kaur, T Cargill, K Hui, M Vu… - JMIR Formative …, 2024 - formative.jmir.org
Background The COVID-19 pandemic has highlighted gaps in the current handling of
medical resource demand surges and the need for prioritizing scarce medical resources to …

The effect of COVID-19 pandemic on sleep-related problems in adults and elderly citizens: An infodemiology study using relative search volume data

EJ Cha, HJ Jeon - PLoS One, 2022 - journals.plos.org
COVID-19 has had a substantial national impact in South Korea, causing negative
psychological responses including sleep-related problems. Literature indicates sleep …

[HTML][HTML] Discovering Time-Varying Public Interest for COVID-19 Case Prediction in South Korea Using Search Engine Queries: Infodemiology Study

SH Ahn, K Yim, HS Won, KM Kim, DH Jeong - Journal of Medical Internet …, 2024 - jmir.org
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 …

[HTML][HTML] The effect of nonpharmaceutical interventions implemented in response to the COVID-19 pandemic on seasonal respiratory syncytial virus: analysis of Google …

HD Ravkin, E Yom-Tov, L Nesher - Journal of Medical Internet Research, 2022 - jmir.org
Background Respiratory syncytial virus (RSV) is a major cause of respiratory infection in
children. Despite usually following a consistent seasonal pattern, the 2020-2021 RSV …

Google Trends applications for COVID-19 pandemic: A bibliometric analysis

H Li, N Zhang, X Ma, Y Wang, F Yang… - Digital …, 2025 - journals.sagepub.com
Introduction COVID-19 is one of the most severe global health events in recent years.
Google Trends provides a comprehensive analysis of the search frequency for specific terms …

Enhancing infectious disease prediction model selection with multi-objective optimization: an empirical study

D Xu, WH Chan, H Haron - PeerJ Computer Science, 2024 - peerj.com
As the pandemic continues to pose challenges to global public health, develo** effective
predictive models has become an urgent research topic. This study aims to explore the …