Comparison: Flu prescription sales data from a retail pharmacy in the US with Google Flu trends and US ILINet (CDC) data as flu activity indicator (Q28483113)

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English	Comparison: Flu prescription sales data from a retail pharmacy in the US with Google Flu trends and US ILINet (CDC) data as flu activity indicator	scientific article

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scholarly article

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Comparison: Flu prescription sales data from a retail pharmacy in the US with Google Flu trends and US ILINet (CDC) data as flu activity indicator (English)

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United States of America

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author name string

Avinash Patwardhan

1

author given names

Avinash

author last names

Patwardhan

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29 October 2023

Robert Bilkovski

2

author given names

Robert

author last names

Bilkovski

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29 October 2023

language of work or name

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publication date

2012

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7

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8

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e43611

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copyright license

Creative Commons Attribution 4.0 International

30 August 2012

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April 2022 Public Data File from Crossref

copyright status

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Detecting influenza epidemics using search engine query data

1 reference

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19 March 2017

Surveillance Sans Frontières: Internet-based emerging infectious disease intelligence and the HealthMap project

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19 March 2017

The value of pharmacists in health care

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29 September 2017

Real-time prescription surveillance and its application to monitoring seasonal influenza activity in Japan

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https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3431370

29 September 2017

Google Flu Trends: correlation with emergency department influenza rates and crowding metrics.

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https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3431370

29 September 2017

Monitoring influenza activity in the United States: a comparison of traditional surveillance systems with Google Flu Trends

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3431370

29 September 2017

Monitoring influenza activity in Europe with Google Flu Trends: comparison with the findings of sentinel physician networks - results for 2009-10.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3431370

29 September 2017

Medication sales and syndromic surveillance, France.

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https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3431370

29 September 2017

Use of Medicaid prescription data for syndromic surveillance--New York.

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https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3431370

29 September 2017

Conducting population behavioral health surveillance by using automated diagnostic and pharmacy data systems.

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29 September 2017

Evaluation challenges for syndromic surveillance--making incremental progress.

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https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3431370

29 September 2017

Review of the 2003 National Syndromic Surveillance Conference--lessons learned and questions to be answered

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29 September 2017

What is syndromic surveillance?

1 reference

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29 September 2017

Evaluation of syndromic surveillance in the Netherlands: its added value and recommendations for implementation.

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27 November 2018

Linking better surveillance to better outcomes

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27 November 2018

Framework for evaluating public health surveillance systems for early detection of outbreaks: recommendations from the CDC Working Group

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27 November 2018

Innovative surveillance methods for rapid detection of disease outbreaks and bioterrorism: results of an interagency workshop on health indicator surveillance

1 reference

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12 December 2020

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10.1371/JOURNAL.PONE.0043611

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2012PLoSO...743611P

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