Literature DB >> 25131951

Internet searches and allergy: temporal variation in regional pollen counts correlates with Google searches for pollen allergy related terms.

Omry Zuckerman1, Spencer H Luster2, Leonard Bielory3.   

Abstract

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25131951     DOI: 10.1016/j.anai.2014.07.015

Source DB:  PubMed          Journal:  Ann Allergy Asthma Immunol        ISSN: 1081-1206            Impact factor:   6.347


× No keyword cloud information.
  4 in total

1.  Assessment of Google Trends terms reporting allergies and the grass pollen season in Ukraine.

Authors:  Igor Kaidashev; Halyna Morokhovets; Viktoriia Rodinkova; Lawrence DuBuske; Jean Bousquet
Journal:  World Allergy Organ J       Date:  2020-09-30       Impact factor: 4.084

2.  Can Twitter Be a Source of Information on Allergy? Correlation of Pollen Counts with Tweets Reporting Symptoms of Allergic Rhinoconjunctivitis and Names of Antihistamine Drugs.

Authors:  Francesco Gesualdo; Giovanni Stilo; Angelo D'Ambrosio; Emanuela Carloni; Elisabetta Pandolfi; Paola Velardi; Alessandro Fiocchi; Alberto E Tozzi
Journal:  PLoS One       Date:  2015-07-21       Impact factor: 3.240

Review 3.  POLLAR: Impact of air POLLution on Asthma and Rhinitis; a European Institute of Innovation and Technology Health (EIT Health) project.

Authors:  Jean Bousquet; Josep M Anto; Isabella Annesi-Maesano; Toni Dedeu; Eve Dupas; Jean-Louis Pépin; Landry Stephane Zeng Eyindanga; Sylvie Arnavielhe; Julia Ayache; Xavier Basagana; Samuel Benveniste; Nuria Calves Venturos; Hing Kin Chan; Mehdi Cheraitia; Yves Dauvilliers; Judith Garcia-Aymerich; Ingrid Jullian-Desayes; Chitra Dinesh; Daniel Laune; Jade Lu Dac; Ismael Nujurally; Giovanni Pau; Robert Picard; Xavier Rodo; Renaud Tamisier; Michael Bewick; Nils E Billo; Wienczyslawa Czarlewski; Joao Fonseca; Ludger Klimek; Oliver Pfaar; Jean-Marc Bourez
Journal:  Clin Transl Allergy       Date:  2018-09-17       Impact factor: 5.871

4.  Using Internet Search Trends and Historical Trading Data for Predicting Stock Markets by the Least Squares Support Vector Regression Model.

Authors:  Ping-Feng Pai; Ling-Chuang Hong; Kuo-Ping Lin
Journal:  Comput Intell Neurosci       Date:  2018-07-24
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.