Literature DB >> 22507804

Public health surveillance and data collection: general principles and impact on hemophilia care.

J Michael Soucie1.   

Abstract

Public health surveillance is the ongoing collection, analysis, and dissemination of health related data to provide information that can be used to monitor and improve the health of populations. Such surveillance systems can be established in many settings to study a variety of populations and conditions. The most effective systems are designed around specific, well-defined objectives, collect data in a standardized fashion, analyze the data frequently, and disseminate the results to those who need to know the information. Surveillance has been used to determine the occurrence rates of hemophilia and to characterize the population affected by this rare but potentially serious congenital disorder. Data from surveillance systems have been used to identify risk factors for complications that, once identified, have been modified through public health interventions. The effectiveness of these interventions can be assessed by continued surveillance, thereby assuring improvement in care of people affected by hemophilia around the world.

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Year:  2012        PMID: 22507804      PMCID: PMC4515757          DOI: 10.1179/102453312X13336169156537

Source DB:  PubMed          Journal:  Hematology        ISSN: 1024-5332            Impact factor:   2.269


  17 in total

Review 1.  Establishing haemophilia care in developing countries: using data to overcome the barrier of pessimism.

Authors:  B L Evatt; L Robillard
Journal:  Haemophilia       Date:  2000-05       Impact factor: 4.287

2.  Observations from Global Survey 2001: an emerging database for progress.

Authors:  B L Evatt
Journal:  Haemophilia       Date:  2002-03       Impact factor: 4.287

3.  Risk factors for infection with HBV and HCV in a largecohort of hemophiliac males.

Authors:  J M Soucie; L C Richardson; B L Evatt; J V Linden; B M Ewenstein; S F Stein; C Leissinger; M Manco-Johnson; C L Sexauer
Journal:  Transfusion       Date:  2001-03       Impact factor: 3.157

4.  Changes in the occurrence of and risk factors for hemophilia-associated intracranial hemorrhage.

Authors:  R Nuss; J M Soucie; B Evatt
Journal:  Am J Hematol       Date:  2001-09       Impact factor: 10.047

5.  Planning a public health surveillance system.

Authors:  S M Teutsch; S B Thacker
Journal:  Epidemiol Bull       Date:  1995-03

6.  Home-based factor infusion therapy and hospitalization for bleeding complications among males with haemophilia.

Authors:  J M Soucie; J Symons; B Evatt; D Brettler; H Huszti; J Linden
Journal:  Haemophilia       Date:  2001-03       Impact factor: 4.287

7.  Mortality among males with hemophilia: relations with source of medical care. The Hemophilia Surveillance System Project Investigators.

Authors:  J M Soucie; R Nuss; B Evatt; A Abdelhak; L Cowan; H Hill; M Kolakoski; N Wilber
Journal:  Blood       Date:  2000-07-15       Impact factor: 22.113

8.  Occurrence of hemophilia in the United States. The Hemophilia Surveillance System Project Investigators.

Authors:  J M Soucie; B Evatt; D Jackson
Journal:  Am J Hematol       Date:  1998-12       Impact factor: 10.047

9.  Blood safety monitoring among persons with bleeding disorders--United States, May 1998-June 2002.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2003-01-03       Impact factor: 17.586

10.  Renal disease among males with haemophilia.

Authors:  R Kulkarni; J Michael Soucie; B Evatt
Journal:  Haemophilia       Date:  2003-11       Impact factor: 4.287

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  6 in total

Review 1.  Disruptive Technologies for Environment and Health Research: An Overview of Artificial Intelligence, Blockchain, and Internet of Things.

Authors:  Frederico M Bublitz; Arlene Oetomo; Kirti S Sahu; Amethyst Kuang; Laura X Fadrique; Pedro E Velmovitsky; Raphael M Nobrega; Plinio P Morita
Journal:  Int J Environ Res Public Health       Date:  2019-10-11       Impact factor: 3.390

2.  The population randomization observation process (PROP) assessment method: using systematic habitation observations of street segments to establish household-level epidemiologic population samples.

Authors:  Mieka Smart; Richard Sadler; Alan Harris; Zachary Buchalski; Amber Pearson; C Debra Furr-Holden
Journal:  Int J Health Geogr       Date:  2019-11-08       Impact factor: 3.918

3.  How Cooperative Engagement Programs Strengthen Sequencing Capabilities for Biosurveillance and Outbreak Response.

Authors:  Andrew W Bartlow; Earl A Middlebrook; Alicia T Romero; Jeanne M Fair
Journal:  Front Public Health       Date:  2021-03-01

4.  Recurrent Ebola outbreaks in the eastern Democratic Republic of the Congo: A wake-up call to scale up the integrated disease surveillance and response strategy.

Authors:  Olivier Kambere Kavulikirwa; Franck Katembo Sikakulya
Journal:  One Health       Date:  2022-03-15

5.  Development of a Standardized Data Collection Tool for Evaluation and Management of Coronavirus Disease 2019.

Authors:  Stephen R Morris; Yoichiro Natori; Douglas Salguero; Alejandro Mantero; Ruixuan Ma; Daniela F de Lima Corvino; Anmary Fernandez; Alex Lazo; Christine A Vu; Lauren Bjork; David Serota; Jennifer Quevedo; Ana Vega; Meshell Maxam; Kailynn DeRonde; Pablo Barreiro; Patricia Raccamarich; Maria Romero Alvarez; Dimitra Skiada; Shuba Balan; Maya Ramanathan; Gregory Holt; Jose Gonzales-Zamora; Gio J Baracco; Susanne Doblecki-Lewis; Lilian M Abbo; Paola N Lichtenberger; Maria L Alcaide
Journal:  Open Forum Infect Dis       Date:  2020-07-29       Impact factor: 3.835

6.  Converting the existing disease surveillance from a paper-based to an electronic-based system using district health information system (DHIS-2) for real-time information: the Lebanese experience.

Authors:  Dalal Youssef; Ayat Yaghi; Abbas Jouny; Linda Abou-Abbas; Houssam Chammaa; Nada Ghosn
Journal:  BMC Health Serv Res       Date:  2022-03-25       Impact factor: 2.655

  6 in total

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