Dataset Information

Epidemiological data from the COVID-19 outbreak, real-time case information.

ABSTRACT: Cases of a novel coronavirus were first reported in Wuhan, Hubei province, China, in December 2019 and have since spread across the world. Epidemiological studies have indicated human-to-human transmission in China and elsewhere. To aid the analysis and tracking of the COVID-19 epidemic we collected and curated individual-level data from national, provincial, and municipal health reports, as well as additional information from online reports. All data are geo-coded and, where available, include symptoms, key dates (date of onset, admission, and confirmation), and travel history. The generation of detailed, real-time, and robust data for emerging disease outbreaks is important and can help to generate robust evidence that will support and inform public health decision making.

SUBMITTER: Xu B

PROVIDER: S-EPMC7093412 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Epidemiological data from the COVID-19 outbreak, real-time case information.

Xu Bo B Gutierrez Bernardo B Mekaru Sumiko S Sewalk Kara K Goodwin Lauren L Loskill Alyssa A Cohn Emily L EL Hswen Yulin Y Hill Sarah C SC Cobo Maria M MM Zarebski Alexander E AE Li Sabrina S Wu Chieh-Hsi CH Hulland Erin E Morgan Julia D JD Wang Lin L O'Brien Katelynn K Scarpino Samuel V SV Brownstein John S JS Pybus Oliver G OG Pigott David M DM Kraemer Moritz U G MUG

Scientific data 20200324 1

Cases of a novel coronavirus were first reported in Wuhan, Hubei province, China, in December 2019 and have since spread across the world. Epidemiological studies have indicated human-to-human transmission in China and elsewhere. To aid the analysis and tracking of the COVID-19 epidemic we collected and curated individual-level data from national, provincial, and municipal health reports, as well as additional information from online reports. All data are geo-coded and, where available, include ...[more]

PMID: 32210236

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Project description:ImportanceThe COVID-19 pandemic has disrupted global surgical capacity. The impact of the pandemic in low and middle income countries has the potential to worsen already strained access to surgical care. Timely assessment of surgical volumes in these countries remains challenging.ObjectiveTo determine whether usage data from a globally used anesthesiology calculator mobile application can serve as a proxy for global surgical case volume and contribute to monitoring of the impact of the COVID-19 pandemic, particularly in World Bank low income countries where official data collection is not currently practical.DesignSubset of data from an ongoing observational cohort study of users of the application collected from October 1, 2018 to April 18, 2020.SettingThe mobile application is available from public sources; users download and use the application per their own clinical needs on personal mobile devices.ParticipantsNo user data was excluded from the study. Exposure(s): Events with impacts on surgical case volumes, including weekends, holidays, and the COVID-19 pandemic. Main Outcome(s) and Measure(s): It was previously noted that application usage was decreased on weekends and during winter holidays. We subsequently hypothesized that more detailed analysis would reveal impacts of country-specific or region-specific holidays on the volume of app use.Results4,300,975 data points from 92,878 unique users were analyzed. Physicians and other anesthesia providers comprised 85.8% of the study population. Application use was reduced on holidays and weekends and correlated with fluctuations in surgical volume. The COVID-19 pandemic was associated with substantial reductions in app use globally and regionally. There was strong cross correlation between COVID-19 case count and reductions in app use. By country, there was a median global reduction in app use to 58% of baseline (interquartile range, 46%-75%). Application use in low-income continues to decline but in high-income countries has stabilized.Conclusions and relevanceApplication usage metadata provides a real-time indicator of surgical volume. This data may be used to identify impacted regions where disruptions to surgical care are disproportionate or prolonged. A dashboard for continuous visualization of these data has been deployed.

Dataset Information

Epidemiological data from the COVID-19 outbreak, real-time case information.

Publications

Epidemiological data from the COVID-19 outbreak, real-time case information.

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