Can Google® trends predict COVID-19 incidence and help preparedness? The situation in Colombia

Yeimer Ortiz-Martínez; Juan Esteban Garcia-Robledo; Danna L. Vásquez-Castañeda; D. Katterine Bonilla-Aldana; Alfonso J. Rodriguez-Morales

doi:10.1016/j.tmaid.2020.101703

Can Google® trends predict COVID-19 incidence and help preparedness? The situation in Colombia

Yeimer Ortiz-Martínez
, Juan Esteban Garcia-Robledo
, Danna L. Vásquez-Castañeda
, D. Katterine Bonilla-Aldana
, Alfonso J. Rodriguez-Morales

Producción científica: Artículo Científico › Carta al editor › revisión exhaustiva

47 Citas (Scopus)

Idioma original	Inglés estadounidense
-	101703
Publicación	Travel Medicine and Infectious Disease
Volumen	37
DOI	https://doi.org/10.1016/j.tmaid.2020.101703
Estado	Indizado - 1 set. 2020
Publicado de forma externa	Sí

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10.1016/j.tmaid.2020.101703

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title = "Can Google{\textregistered} trends predict COVID-19 incidence and help preparedness? The situation in Colombia",

author = "Yeimer Ortiz-Mart{\'i}nez and Garcia-Robledo, \{Juan Esteban\} and V{\'a}squez-Casta{\~n}eda, \{Danna L.\} and Bonilla-Aldana, \{D. Katterine\} and Rodriguez-Morales, \{Alfonso J.\}",

note = "Funding Information: To the National Institute of Health of Colombia for providing publicly the data of COVID-19 surveillance in its website (www.ins.gov.co).",

year = "2020",

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doi = "10.1016/j.tmaid.2020.101703",

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AU - Ortiz-Martínez, Yeimer

AU - Garcia-Robledo, Juan Esteban

AU - Vásquez-Castañeda, Danna L.

AU - Bonilla-Aldana, D. Katterine

AU - Rodriguez-Morales, Alfonso J.

N1 - Funding Information: To the National Institute of Health of Colombia for providing publicly the data of COVID-19 surveillance in its website (www.ins.gov.co).

PY - 2020/9/1

Y1 - 2020/9/1

UR - https://www.scopus.com/pages/publications/85084348049

U2 - 10.1016/j.tmaid.2020.101703

DO - 10.1016/j.tmaid.2020.101703

M3 - Letter

C2 - 32360323

AN - SCOPUS:85084348049

SN - 1477-8939

VL - 37

JO - Travel Medicine and Infectious Disease

JF - Travel Medicine and Infectious Disease

M1 - 101703

ER -