Social networks, machine learning and cladistics in the time of COVID-19.

Díaz-Badillo, Álvaro; Ramírez-Pfeiffer, Carlos; López-Alvarenga, Juan C

Díaz-Badillo, Álvaro; Ramírez-Pfeiffer, Carlos; López-Alvarenga, Juan C.

Díaz-Badillo Á; Departamento de Genética Humana, University of Texas Rio Grande Valley, Edinburg, Texas, EUA.
Ramírez-Pfeiffer C; Departamento de Investigación, Universidad México-Americana del Norte, Reynosa, Tamaulipas, México.
López-Alvarenga JC; Departamento de Investigación, Universidad México-Americana del Norte, Reynosa, Tamaulipas, México.

Cir Cir ; 88(4): 395-398, 2020.

Article in English | MEDLINE | ID: covidwho-637699

Subject(s)

Betacoronavirus; Coronavirus Infections/epidemiology; Information Dissemination/methods; Machine Learning; Pandemics; Pneumonia, Viral/epidemiology; Social Networking; Animals; Betacoronavirus/classification; COVID-19; Chiroptera/virology; Computational Biology; Coronavirus Infections/diagnosis; Coronavirus Infections/transmission; History, Medieval; Humans; Models, Statistical; Pandemics/history; Plague/history; Pneumonia, Viral/diagnosis; Pneumonia, Viral/transmission; SARS-CoV-2

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Information Dissemination / Pandemics / Social Networking / Machine Learning / Betacoronavirus Type of study: Diagnostic study / Observational study / Prognostic study Limits: Animals / Humans Language: English Journal: Cir Cir Year: 2020 Document Type: Article Affiliation country: CIRU.M20000065

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