Timeliness of online COVID-19 reports from official sources

Article Computer Science, Artificial Intelligence

Impact of information timeliness and richness on public engagement on social media during COVID-19 pandemic: An empirical investigation based on NLP and machine learning

Kai Li et al.

Summary: This study investigates the impact of information timeliness and richness on public engagement. The findings suggest that information retrospectiveness has a negative effect on breadth of engagement but a positive effect on depth. Information immediateness and prospectiveness both have positive effects on breadth and depth of public engagement. Additionally, information richness has different moderating effects on the relationships between information timeliness and public engagement breadth and depth. The results provide insights for developing responsive public health strategies to improve the speed of critical information dissemination.

DECISION SUPPORT SYSTEMS (2022)

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Article Infectious Diseases

Epitweetr: Early warning of public health threats using Twitter data

Laura Espinosa et al.

Summary: Epitweetr, a tool utilizing Twitter data for early warning, has shown sufficient performance in detecting public health threats.

EUROSURVEILLANCE (2022)

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Article Infectious Diseases

Social media for field epidemiologists (#SoMe4epi): How to use Twitter during the #COVID19 pandemic

Charlotte C. Hammer et al.

Summary: The COVID-19 pandemic has led to a shift towards remote working, online meetings, and accelerated trends in digital communication and social exchange. Twitter has emerged as a key platform for epidemiologists, enabling rapid professional exchange, public communication of science, and professional development.

INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES (2021)

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Article Public, Environmental & Occupational Health

Using open-source intelligence to identify early signals of COVID-19 in Indonesia

Yoser Thamtono et al.

Summary: This study evaluated the use of open-source data from the epidemic observatory EpiWATCH to identify early signals of pneumonia of unknown cause as a proxy for COVID-19 in Indonesia. The results showed an increase in reports of pneumonia of unknown cause in Indonesia starting from late January 2020, with 30 cases occurring before the first official COVID-19 cases were identified on 2 March 2020. The early signals may indicate possible unrecognized circulation of SARS-CoV-2 before official detection.

WESTERN PACIFIC SURVEILLANCE AND RESPONSE (2021)

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Review Health Care Sciences & Services

Digital public health surveillance: a systematic scoping review

Zahra Shakeri Hossein Abad et al.

Summary: This study conducted a systematic scoping review on digital public health surveillance (DPHS), finding that research is mainly focused on communicable diseases and behavioral risk factors in the United States, while also highlighting the lack of longitudinal studies, methodological issues, and practical limitations in the successful implementation of DPHS systems.

NPJ DIGITAL MEDICINE (2021)

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Review Medical Informatics

What social media told us in the time of COVID-19: a scoping review

Shu-Feng Tsao et al.

Summary: This scoping review analyzed 81 peer-reviewed studies on COVID-19 and social media, identifying five major public health themes. The study also highlighted the lack of research on machine learning applications and real-time surveillance using social media data for COVID-19.

LANCET DIGITAL HEALTH (2021)

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Review Public, Environmental & Occupational Health