First Confirmed Cases of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) Infection in the United States, Updated Information on the Epidemiology of MERS-CoV Infection, and Guidance for the Public, Clinicians, and Public Health Authorities—May 2014

Bialek, Stephanie R.; Allen, Donna; Alvarado‐Ramy, Francisco; Arthur, Ray R.; Balajee, Arunmozhi; Bell, David M.; Best, Susan J.; Blackmore, Carina; Breakwell, Lucy; Cannons, Andrew C.; Brown, Clive; Cetron, Martín S.; Chea, Nora; Chommanard, Christina; Cohen, Nicole J.; Conover, Craig; Crespo, Antonio; Creviston, Jeanean; Curns, Aaron T.; Dahl, Rebecca; Dearth, Stephanie; DeMaria, Alfred; Echols, Fred; Erdman, Dean D.; Feikin, Daniel R.; Frias, Mabel; Gerber, Susan I.; Gulati, Reena; Hale, Christa; Haynes, Lia M.; Heberlein-Larson, Lea; Holton, Kelly; Ijaz, Kashef; Kapoor, Minal; Kohl, Katrin; Kuhar, David T.; Kumar, Alan; Kundich, Marianne; Lippold, Susan A.; Liu, Lixia; Madoff, Larry; Martell, Sandra; Matthews, Sarah; Moore, Jessica; Murray, Leslie J.; Onofrey, Shauna; Pallansch, Mark A.; Pesik, Nicki; Pham, Huong; Pillai, Satish K.; Pontones, Pam; Pringle, Kimberly; Pritchard, Scott; Rasmussen, Sonja A.; Richards, Shawn; Sandoval, Michelle; Schneider, Eileen; Schuchat, Anne; Sheedy, Kristine; Sherin, Kevin; Swerdlow, David L.; Tappero, Jordan W.; Vernon, Michael O.; Watkins, Sharon; Watson, John C.

doi:10.1111/ajt.12841

Cited by 13 publications

(2 citation statements)

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“…Our results suggest that the "border policy issue" has continuously been a concern for Canadians, who support strict border measures to prevent the spread of COVID-19 in Canada. Previous studies demonstrated that air transportation has the potential to spread influenza, such as A/H1N1 [22], and enhanced precautions should be taken for travelers to countries with increasing cases of respiratory diseases, such as Middle East respiratory syndrome [23]. Brown and colleagues [24] showed that airport exit and entry screening at international borders facilitated the rapid detection of illness and the implementation of appropriate public health control measures to prevent the spread of Ebola virus.…”

Section: Theme 1: Strict Border Measuresmentioning

confidence: 99%

Public Opinions and Concerns Regarding the Canadian Prime Minister’s Daily COVID-19 Briefing: Longitudinal Study of YouTube Comments Using Machine Learning Techniques (Preprint)

Zheng¹,

Xue²,

Sun³

et al. 2020

Preprint

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BACKGROUND During the COVID-19 pandemic in Canada, Prime Minister Justin Trudeau has provided updates on the noval coronavirus and government’s responses in his daily briefings from March 13 to May 22, 2020, delivered on the CBC official YouTube channel (Canadian Broadcasting Corporation). OBJECTIVE This study aims to examine and track YouTube users’ comments on PM Trudeau’s COVID-19 daily briefings in Canada over time. METHODS We used machine learning techniques and longitudinally analyzed a total of 46,732 English YoutTube comments retrieved from 57 videos of PM Trudeau’s COVID-19 daily briefings from March 13 to May 22, 2020. The natural language processing, Latent Dirichlet Allocation (LDA) model was used to choose salient topics among the sampled comments in each of the single days. Thematic analysis was used to classify and summarize these salient topics into different prominent themes. RESULTS We found 11 prominent themes, including “strict border measures,” “public responses to PM Trudeau’s policies,” “essential work and frontline workers,” “individuals’ financial challenges,” “rental and mortgage bursary,” “quarantine,” “government financial aid for enterprises and individuals,” “PPE,” “Canada and China relationship,” “vaccine,” and “re-opening.” CONCLUSIONS The present study is the first to longitudinally investigate public discourse and concerns of PM Trudeau’s COVID-19 daily briefings in Canada. This study contributes to the establishment of a real-time feedback loop between the public and public health officials on YouTube. Hearing and reacting to real concerns from the public can enhance trust between the government and the public to prepare for a future health emergency.

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Section: Theme 1: Strict Border Measuresmentioning

confidence: 99%

Public Opinions and Concerns Regarding the Canadian Prime Minister’s Daily COVID-19 Briefing: Longitudinal Study of YouTube Comments Using Machine Learning Techniques (Preprint)

Zheng¹,

Xue²,

Sun³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…During new and emerging public health threats to the nation, rapid development of data collection processes and tools is required to collect critical data for response decisions. Historically, the collection of critical data has been demonstrated during recent public health threats such as anthrax in 2001 1 and 2015, 2 severe acute respiratory syndrome (SARS) in 2003, 3 Marburg hemorrhagic fever in 2008, 4 influenza A subtype H1N1 in 2009, 5 , 6 Middle East respiratory syndrome coronavirus (MERS-CoV) in 2012 7 and 2014, 8 Ebola hemorrhagic fever in 2014 9 and 2019, 10 the Flint water crisis in Michigan in 2016, 11 and Zika in 2016. 12 Following the report of a novel coronavirus infection in Wuhan City, Hubei Province, China, CDC engaged the international public health community to identify this global threat, now known to be caused by the SARS-CoV-2 virus.…”

mentioning

confidence: 99%

Tracking COVID-19 in the United States With Surveillance of Aggregate Cases and Deaths

et al. 2023

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Early during the COVID-19 pandemic, the Centers for Disease Control and Prevention (CDC) leveraged an existing surveillance system infrastructure to monitor COVID-19 cases and deaths in the United States. Given the time needed to report individual-level (also called line-level) COVID-19 case and death data containing detailed information from individual case reports, CDC designed and implemented a new aggregate case surveillance system to inform emergency response decisions more efficiently, with timelier indicators of emerging areas of concern. We describe the processes implemented by CDC to operationalize this novel, multifaceted aggregate surveillance system for collecting COVID-19 case and death data to track the spread and impact of the SARS-CoV-2 virus at national, state, and county levels. We also review the processes established to acquire, process, and validate the aggregate number of cases and deaths due to COVID-19 in the United States at the county and jurisdiction levels during the pandemic. These processes include time-saving tools and strategies implemented to collect and validate authoritative COVID-19 case and death data from jurisdictions, such as web scraping to automate data collection and algorithms to identify and correct data anomalies. This topical review highlights the need to prepare for future emergencies, such as novel disease outbreaks, by having an event-agnostic aggregate surveillance system infrastructure in place to supplement line-level case reporting for near–real-time situational awareness and timely data.

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The emergence of SARS, MERS and novel SARS-2 coronaviruses in the 21st century

2020

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At the beginning of the 21st century, a new deadly infectious disease known as severe acute respiratory syndrome (SARS) was recognized as a global public health threat. Subsequently, ten years after the initial SARS cases occurred in 2002, new cases of another atypical respiratory disease caused worldwide concern. This disease became known as Middle East respiratory syndrome (MERS) and was even more lethal than SARS. Currently, history has repeated itself with the emergence of a new Chinese epidemic at the end of 2019. For this respiratory disease, called COVID-19, a novel coronavirus (SARS-CoV-2) was identified as the etiologic agent. In sum, SARS, MERS and COVID-19 are caused by recently discovered coronaviruses that cause flu-like illnesses, but with a clinical outcome that tends to be more severe. As a result of the current importance of coronaviruses in global public health, we conducted a review to summarize and update, above all, the epidemiological historical aspects of the three major diseases in humans caused by coronaviral infection.Handling Editor: Yue Wang. Electronic supplementary materialThe online version of this article (https ://doi.org/10.1007/s0070 5-020-04628 -0) contains supplementary material, which is available to authorized users.Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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First Confirmed Cases of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) Infection in the United States, Updated Information on the Epidemiology of MERS-CoV Infection, and Guidance for the Public, Clinicians, and Public Health Authorities—May 2014

Cited by 13 publications

References 0 publications

Public Opinions and Concerns Regarding the Canadian Prime Minister’s Daily COVID-19 Briefing: Longitudinal Study of YouTube Comments Using Machine Learning Techniques (Preprint)

Public Opinions and Concerns Regarding the Canadian Prime Minister’s Daily COVID-19 Briefing: Longitudinal Study of YouTube Comments Using Machine Learning Techniques (Preprint)

Tracking COVID-19 in the United States With Surveillance of Aggregate Cases and Deaths

The emergence of SARS, MERS and novel SARS-2 coronaviruses in the 21st century

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