TY  -  
T1  - Prediction of Asthma Hospitalizations for the Common Cold Using Google Trends : Infodemiology Study 
SN  -  /  
UR  - http://hdl.handle.net/10138/339548 
T3  -  
A1  - Sousa-Pinto, Bernardo; Halonen, Jaana; Anto, Aram; Jormanainen, Vesa; Czarlewski, Wienczyslawa; Bedbrook, Anna; Papadopoulos, Nikolaos G.; Freitas, Alberto; Haahtela, Tari; Anto, Josep M.; Fonseca, Joao Almeida; Bousquet, Jean 
A2  -  
PB  -  
Y1  - 2021 
LA  - eng 
AB  - Background: In contrast to air pollution and pollen exposure, data on the occurrence of the common cold are difficult to incorporate in models predicting asthma hospitalizations. Objective: This study aims to assess whether web-based searches on common cold would correlate with and help to predict asthma hospitalizations. Methods: We analyzed all hospitalizations with a main diagnosis of asthma occurring in 5 different countries (Portugal, Spain, Finland, Norway, and Brazil) for a period of appr... 
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KW  - asthma; common cold; Google Trends; hospitalizations; time series analysis; mobile phone; EXACERBATIONS; INFECTIONS; 3121 General medicine, internal medicine and other clinical medicine 
N1  -   
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ER  -