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Epidemiological identification of a novel infectious disease in real time: Analysis of the atypical pneumonia outbreak in Wuhan, China, 2019-20
Sung-mok Jung
Ryo Kinoshita
Robin Thompson
Katsuma Hayashi
Natalie Linton
Yichi Yang
Andrei R. Akhmetzhanov
Hiroshi Nishiura
Acceso Abierto
Atribución-NoComercial-SinDerivadas
https://doi.org/10.1101/2020.01.26.20018887
https://www.medrxiv.org/content/10.1101/2020.01.26.20018887v2
Objective Virological tests indicate that a novel coronavirus is the most likely explanation for the 2019-20 pneumonia outbreak in Wuhan, China. We demonstrate that non-virological descriptive characteristics could have determined that the outbreak is caused by a novel pathogen in advance of virological testing. Methods Characteristics of the ongoing outbreak were collected in real time from two medical social media sites. These were compared against characteristics of ten existing pathogens that can induce atypical pneumonia. The probability that the current outbreak is due to “Disease X” (i.e., previously unknown etiology) as opposed to one of the known pathogens was inferred, and this estimate was updated as the outbreak continued. Results The probability that Disease X is driving the outbreak was assessed as over 32% on 31 December 2019, one week before virus identification. After some specific pathogens were ruled out by laboratory tests on 5 Jan 2020, the inferred probability of Disease X was over 59%. Conclusions We showed quantitatively that the emerging outbreak of atypical pneumonia cases is consistent with causation by a novel pathogen. The proposed approach, that uses only routinely-observed non-virological data, can aid ongoing risk assessments even before virological test results become available.
bioRxiv
03-02-2020
Preimpreso
Inglés
Público en general
VIRUS RESPIRATORIOS
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