scholarly journals The Situation Room: A Step by Step Procedure toward Pandemic Influenza Preparedness

2009 ◽  
Vol 3 (09) ◽  
pp. 649-653
Author(s):  
Miguel Angel Castro-Jiménez ◽  
Lina María Vera-Cala ◽  
Gloria Janneth Rey-Benito
Keyword(s):  
Public Health ◽  
Pandemic Influenza ◽  
Public Health Surveillance ◽  
Health Surveillance ◽  
The Public ◽  
Step Procedure ◽  
Level Of Economic Development ◽  
Health Event ◽  
The Impact

In the context of the public health surveillance, the situation room might be playing an interesting role as a strategy for early alert and follow-up of a specific public health event and its determinants. The implementation and proper functioning of an influenza situation room monitoring seasonal and pandemic influenza or any other public health event could help to mitigate the impact of the next pandemic on public health in any country regardless of its level of economic development. This paper is aimed to suggest some basic steps for implementing an Influenza Situation Room as a strategy of prevention of diseases with potential to cause human pandemics and its mitigation if it has already occurred.

scholarly journals CDC Surveillance Strategy – A Strategy for Improving CDC Activities in Public Health Surveillance

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Chesley Richards ◽  
Brian Lee
Keyword(s):  
Public Health ◽  
Large Scale ◽  
Public Health Surveillance ◽  
Health Surveillance ◽  
Policy Changes ◽  
Surveillance Strategy ◽  
The Public ◽  
Public Health Professionals ◽  
Health Surveillance Data ◽  
The Impact

Public health surveillance guides efforts to detect and monitor disease and injuries, assess the impact of interventions and assist in the management of and recovery from large-scale public health incidents. Actions informed by surveillance information take many forms, such as policy changes, new program interventions, public communications and investments in research. Local, state and federal public health professionals, government leaders, public health partners and the public are dependent on high quality, timely and actionable public health surveillance data. This Surveillance Strategy aims to improve overall surveillance capabilities, and by extension those of the public health system at large.

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.

scholarly journals Near-Real-Time Surveillance of Illnesses Related to Shellfish Consumption in British Columbia: Analysis of Poison Center Data (Preprint)

2017 ◽  
Author(s):  
Victoria Wan ◽  
Lorraine McIntyre ◽  
Debra Kent ◽  
Dennis Leong ◽  
Sarah B Henderson
Keyword(s):  
Public Health ◽  
Real Time ◽  
Public Health Surveillance ◽  
Data File ◽  
Health Surveillance ◽  
Poison Control ◽  
Short Term ◽  
Control Data

BACKGROUND Data from poison centers have the potential to be valuable for public health surveillance of long-term trends, short-term aberrations from those trends, and poisonings occurring in near-real-time. This information can enable long-term prevention via programs and policies and short-term control via immediate public health response. Over the past decade, there has been an increasing use of poison control data for surveillance in the United States, Europe, and New Zealand, but this resource still remains widely underused. OBJECTIVE The British Columbia (BC) Drug and Poison Information Centre (DPIC) is one of five such services in Canada, and it is the only one nested within a public health agency. This study aimed to demonstrate how DPIC data are used for routine public health surveillance in near-real-time using the case study of its alerting system for illness related to consumption of shellfish (ASIRCS). METHODS Every hour, a connection is opened between the WBM software Visual Dotlab Enterprise, which holds the DPIC database, and the R statistical computing environment. This platform is used to extract, clean, and merge all necessary raw data tables into a single data file. ASIRCS automatically and retrospectively scans a 24-hour window within the data file for new cases related to illnesses from shellfish consumption. Detected cases are queried using a list of attributes: the caller location, exposure type, reasons for the exposure, and a list of keywords searched in the clinical notes. The alert generates a report that is tailored to the needs of food safety specialists, who then assess and respond to detected cases. RESULTS The ASIRCS system alerted on 79 cases between January 2015 and December 2016, and retrospective analysis found 11 cases that were missed. All cases were reviewed by food safety specialists, and 58% (46/79) were referred to designated regional health authority contacts for follow-up. Of the 42% (33/79) cases that were not referred to health authorities, some were missing follow-up information, some were triggered by allergies to shellfish, and some were triggered by shellfish-related keywords appearing in the case notes for nonshellfish-related cases. Improvements were made between 2015 and 2016 to reduce the number of cases with missing follow-up information. CONCLUSIONS The surveillance capacity is evident within poison control data as shown from the novel use of DPIC data for identifying illnesses related to shellfish consumption in BC. The further development of surveillance programs could improve and enhance response to public health emergencies related to acute illnesses, chronic diseases, and environmental exposures.

scholarly journals Use of technology for public health surveillance reporting: opportunities, challenges and lessons learnt from Kenya

2020 ◽  
Author(s):  
Ian Njeru ◽  
David Kareko ◽  
Ngina Kisangau ◽  
Daniel Langat ◽  
Nzisa Liku ◽  
...  
Keyword(s):  
Public Health ◽  
Surveillance System ◽  
Public Health Surveillance ◽  
Comparison Group ◽  
Intervention Group ◽  
Health Surveillance ◽  
Surveillance Data ◽  
Percentage Points ◽  
Reporting Rates ◽  
The Impact

Abstract Background: Infectious diseases remain one of the greatest threats to public health globally. Effective public health surveillance systems are therefore needed to provide timely and accurate information for early detection and response. In 2016, Kenya transitioned its surveillance system from a standalone web-based surveillance system to the more sustainable and integrated District Health Information System 2 (DHIS2). As part of Global Health Security Agenda (GHSA) initiatives in Kenya, training on use of the new system was conducted among surveillance officers. We evaluated the surveillance indicators during the transition period in order to assess the impact of this training on surveillance metrics and identify challenges affecting reporting rates. Methods: From February to May 2017, we analysed surveillance data for 13 intervention and 13 comparison counties. An intervention county was defined as one that had received refresher training on DHIS2 while a comparison county was one that had not received training. We evaluated the impact of the training by analysing completeness and timeliness of reporting 15 weeks before and 12 weeks after the training. A chi-square test of independence was used to compare the reporting rates between the two groups. A structured questionnaire was administered to the training participants to assess the challenges affecting surveillance reporting. Results: The completeness of reporting increased significantly after the training by 17 percentage points (from 45% to 62%) for the intervention group compared to 3 percentage points (49% to 52%) for the comparison group. Timeliness of reporting increased significantly by 21 percentage points (from 30% to 51%) for the intervention group compared to 7 percentage points (from 31% to 38%) for the comparison group. Major challenges identified for the low reporting rates included lack of budget support from government, lack of airtime for reporting, health workers strike, health facilities not sending surveillance data, use of wrong denominator to calculate reporting rates and surveillance officers being given other competing tasks. Conclusions: Training plays an important role in improving public health surveillance reporting. However, to improve surveillance reporting rates to the desired national targets, other challenges affecting reporting must be identified and addressed accordingly.

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.

Sign in / Sign up

Export Citation Format

Share Document