Xu B, Gutierrez B, Mekaru S, Sewalk K, Goodwin L, Loskill A, Cohn EL, Hswen Y, Hill SC, Cobo MM, Zarebski AE, Li S, Wu C-H, Hulland E, Morgan JD, Wang L, O’Brien K, Scarpino SV, Brownstein JS, Pybus OG, Pigott DM, Kraemer MUG (2020) Epidemiological data from the COVID-19 outbreak, real-time case information. Scientific Data 7: 106. DOI: https://doi.org/10.1038/s41597-020-0448-0.
PERFILES DE LOS AUTORES USFQ:
Bernardo Gutierrez es alumni y actual profesor USFQ. Se graduó de Ingeniero en Procesos Biotecnológicos en la Universidad San Francisco de Quito USFQ, obtuvo su Maestría en Genética Cuantitativa y Análisis Genómico en The University of Edimburgh y se encuentra desarrollando su PhD en Oxford University. Es profesor del Colegio de Ciencias Biológicas y Ambientales COCIBA-USFQ.
María Mercedes Cobo es alumni y actual profesora USFQ. Se graduó de Ingeniera en Procesos Biotecnológicos en la Universidad San Francisco de Quito USFQ, obtuvo su Maestría en Medicina Estratificada y Ensayos Clínicos en The University of Glasgow y se encuentra desarrollando su PhD en Oxford University. Es profesora del Colegio de Ciencias Biológicas y Ambientales COCIBA-USFQ.
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.
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