Attitude of French General Practitioners to the Public Health Surveillance of Communicable Diseases

1995 ◽  
Vol 24 (2) ◽  
pp. 435-440 ◽  
Author(s):  
P CHAUVIN ◽  
A-J VALLERON
Keyword(s):  
Public Health ◽  
General Practitioners ◽  
Public Health Surveillance ◽  
Communicable Diseases ◽  
Health Surveillance ◽  
The Public

Development and psychometric evaluation of the public health surveillance well-being scale

2011 ◽  
Vol 21 (6) ◽  
pp. 1031-1043 ◽  
Author(s):  
C. M. Bann ◽  
R. Kobau ◽  
M. A. Lewis ◽  
M. M. Zack ◽  
C. Luncheon ◽  
...  
Keyword(s):  
Public Health ◽  
Public Health Surveillance ◽  
Psychometric Evaluation ◽  
Well Being ◽  
Health Surveillance ◽  
The Public

scholarly journals Preliminary Look into the ICD9/10 Transition Impact on Public Health Surveillance

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Peter Hicks ◽  
Julie A. Pavlin ◽  
Atar Baer ◽  
David J. Swenson ◽  
Rebecca Lampkins ◽  
...  
Keyword(s):  
Public Health ◽  
Best Practices ◽  
Community Of Practice ◽  
Syndromic Surveillance ◽  
Public Health Surveillance ◽  
Health Surveillance ◽  
Health Impacts ◽  
Health Practices ◽  
The Public ◽  
Icd 10

The "Preliminary Look into the Icd9/10 Transition Impact on Public Health Surveillance" roundtable will provide a forum for the syndromic surveillance Community of Practice (CoP) to discuss the public health impacts from the ICD-10-CM conversion, and to support jurisdictional public health practices with this transition. The discussion will be aimed at identifying conversion challenges, solutions, and best practices.

Twitter activity about treatments during the COVID-19 pandemic: case studies of remdesivir, hydroxychloroquine, and convalescent plasma. (Preprint)

2020 ◽  
Author(s):  
Tymor Hamamsy ◽  
Richard Bonneau
Keyword(s):  
Public Health ◽  
Public Health Surveillance ◽  
Information Dissemination ◽  
Health Surveillance ◽  
White House ◽  
The Public ◽  
Time Period ◽  
Clinical Trial Evidence ◽  
Twitter Activity ◽  
Trial Evidence

BACKGROUND Since the COVID-19 pandemic started, the public has been eager for news about promising treatments, and social media has played a large role in information dissemination. OBJECTIVE In this paper, our objectives are to characterize the public discussion of treatments on Twitter, and demonstrate the utility of these discussions for public health surveillance. METHODS We pulled tweets related to three promising COVID-19 treatments (hydroxychloroquine, remdevisir and convalescent plasma), between the dates of February 28th and May 22nd using the Twitter public API. We characterize treatment tweet trends over this time period. RESULTS Most major tweet/retweet/sentiment trends correlated to public announcement made by the white house and/or to new clinical trial evidence about treatments. Most of the websites people shared in treatment-related tweets were non-scientific media sources that leaned conservative. Hydroxychloroquine was the most discussed treatment on Twitter, and over 10% of hydroxychloroquine tweets mentioned an adverse drug reaction. CONCLUSIONS There is a gap between the public’s attention/discussion around COVID-19 treatments and their evidence. Twitter data can and should be used public health surveillance during this pandemic, as it is informative for monitoring adverse drug reactions, especially as many people avoid going to hospitals/doctors.

Public Health Data Collection and Implementation of the Revised Common Rule

2019 ◽  
Vol 47 (2) ◽  
pp. 232-237 ◽  
Author(s):  
Lisa M. Lee
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Historical Development ◽  
Public Health Surveillance ◽  
Health Data ◽  
Health Surveillance ◽  
Common Rule ◽  
The Public ◽  
Public Health Data ◽  
First Time

For the first time, the revised Common Rule specifies that public health surveillance activities are not research. This article reviews the historical development of the public health surveillance exclusion and implications for other foundational public health practices.

scholarly journals Assessing the public health impact of using poison center data for public health surveillance

2017 ◽  
Vol 56 (7) ◽  
pp. 646-652 ◽  
Author(s):  
Alice Wang ◽  
Royal Law ◽  
Rebecca Lyons ◽  
Ekta Choudhary ◽  
Amy Wolkin ◽  
...  
Keyword(s):  
Public Health ◽  
Public Health Surveillance ◽  
Health Impact ◽  
Health Surveillance ◽  
Public Health Impact ◽  
Poison Center ◽  
The Public

scholarly journals Twitter activity about treatments during the COVID-19 pandemic: case studies of remdesivir, hydroxychloroquine, and convalescent plasma

2020 ◽  
Author(s):  
Tymor Hamamsy ◽  
Richard Bonneau
Keyword(s):  
Public Health ◽  
Public Health Surveillance ◽  
Information Dissemination ◽  
Health Surveillance ◽  
Public Attention ◽  
White House ◽  
The Public ◽  
Time Period ◽  
Clinical Trial Evidence ◽  
Twitter Activity

AbstractSince the COVID-19 pandemic started, the public has been eager for news about promising treatments, and social media has played a large role in information dissemination. In this paper, our objectives are to characterize the public discussion of treatments on Twitter, and demonstrate the utility of these discussions for public health surveillance. We pulled tweets related to three promising COVID-19 treatments (hydroxychloroquine, remdesivir and convalescent plasma), between the dates of February 28th and May 22nd using the Twitter public API. We characterize treatment tweet trends over this time period. Most major tweet/retweet/sentiment trends correlated to public announcement made by the white house and/or to new clinical trial evidence about treatments. Most of the websites people shared in treatment-related tweets were non-scientific, ideological media sources that leaned conservative. Hydroxychloroquine was the most discussed treatment on Twitter. There is a gap between the public attention/discussion around COVID-19 treatments and their evidence. Twitter data can and should be used for public health surveillance during this pandemic, as it is informative for monitoring adverse drug reactions, especially as many people avoid going to hospitals/doctors.

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