This document provides an introduction to public health surveillance. It begins with an overview of public health surveillance and its role. It then outlines the key topics that will be covered, including defining surveillance, its goals and uses, the legal basis for surveillance in the US, different types of surveillance and the surveillance process. The document provides learning objectives and details each topic with definitions, examples and knowledge checks. The goal is to help participants understand what surveillance is, its purpose, how it is conducted and how the data is analyzed to support public health practice and policy.
Role of Biostatistician and Biostatistical Programming in Epidemiological Stu...PEPGRA Healthcare
Pepgra experts provide regulatory biostatistics and epidemiology statistical programming support to all phases of clinical trial process development and commercialization. Our Epidemiological statistical services is are located globally & trained in current methods and standards to support the successful execution of your projects.
Continue Reading: http://bit.ly/2OBq9EZ
Youtube: https://youtu.be/2NORssElgFg
Contact Us:
Website : https://bit.ly/33Fwsye
Email us: sales.cro@pepgra.com
India: +91 9884350006
United Kingdom: +44- 74248 10299
Innovation in Surveillance of Communicable and Non-Communicable DiseasesDr. Nirmal Kandel
Innovation in Surveillance of Communicable and Non-communicable Diseases
http://nirmalkandel.com/wp-content/uploads/2014/03/Innovation-in-Surveillance.pdf
ONLINE FUZZY-LOGIC KNOWLEDGE WAREHOUSING AND MINING MODEL FOR THE DIAGNOSIS A...ijcsity
The need for a reliable and efficient way of storing and mining data about people living with HIV/AIDs with the intent to monitor the health status for effective therapy is on the increase. This paper presents a model of a web-based system for knowledge warehousing and mining of diagnosis and therapy of HIV/AIDs using Fuzzy Logic and data mining approach. A model was developed, using the predictive modeling technique, for predicting HIV/AIDs and monitoring of patient health status. The fuzzy inference
rule and a decision support system based on cognitive filtering was employed to determine the possible course of action to be taken. A case study of some data of PLWH was used and the result obtained shows that the developed system is efficient. The system uses XAMP on Windows OS platform. The system was tested and evaluated with satisfactory results
Role of Biostatistician and Biostatistical Programming in Epidemiological Stu...PEPGRA Healthcare
Pepgra experts provide regulatory biostatistics and epidemiology statistical programming support to all phases of clinical trial process development and commercialization. Our Epidemiological statistical services is are located globally & trained in current methods and standards to support the successful execution of your projects.
Continue Reading: http://bit.ly/2OBq9EZ
Youtube: https://youtu.be/2NORssElgFg
Contact Us:
Website : https://bit.ly/33Fwsye
Email us: sales.cro@pepgra.com
India: +91 9884350006
United Kingdom: +44- 74248 10299
Innovation in Surveillance of Communicable and Non-Communicable DiseasesDr. Nirmal Kandel
Innovation in Surveillance of Communicable and Non-communicable Diseases
http://nirmalkandel.com/wp-content/uploads/2014/03/Innovation-in-Surveillance.pdf
ONLINE FUZZY-LOGIC KNOWLEDGE WAREHOUSING AND MINING MODEL FOR THE DIAGNOSIS A...ijcsity
The need for a reliable and efficient way of storing and mining data about people living with HIV/AIDs with the intent to monitor the health status for effective therapy is on the increase. This paper presents a model of a web-based system for knowledge warehousing and mining of diagnosis and therapy of HIV/AIDs using Fuzzy Logic and data mining approach. A model was developed, using the predictive modeling technique, for predicting HIV/AIDs and monitoring of patient health status. The fuzzy inference
rule and a decision support system based on cognitive filtering was employed to determine the possible course of action to be taken. A case study of some data of PLWH was used and the result obtained shows that the developed system is efficient. The system uses XAMP on Windows OS platform. The system was tested and evaluated with satisfactory results
Presentation from the 3rd Joint Meeting of the Antimicrobial Resistance and Healthcare-Associated Infections (ARHAI) Networks, organised by the European Centre of Disease Prevention and Control - Stockholm, 11-13 February 2015
Comparison of Ultrabio HIV DNA PCR and Gag Real-Time PCR Assays for Total Hiv...CrimsonpublishersCJMI
Comparison of Ultrabio HIV DNA PCR and Gag Real-Time PCR Assays for Total Hiv-1 DNA Quantification by Tuofu Zhu in Cohesive Journal of Microbiology & Infectious Disease
various measures for the measurement of outcome such as incidence prevalence and other drug us measures are briefly discussed here with suitable examples and equations
SPATIAL CLUSTERING AND ANALYSIS ON HEPATITIS C VIRUS INFECTIONS IN EGYPT IJDKP
Lots of studies worldwide have been carried out to check out the prevalence of Hepatitis C Virus (HCV) in human populations. Spatial data analysis and clustering detection is a vital process in HCV monitoring to discover the area of high risk and to help involved decision makers to draw hypotheses about the cause of disease. Egypt is declared as one of the countries having the highest prevalence rate of HCV worldwide. The anomaly of the HCV infection’s distribution in Egypt allowed several researches to identify the reasons that contributed to such widespread of HCV in this country. One way that can help in identification of areas with highest diseases is to give a detailed knowledge about the geographical distribution of HCV in Egypt. To achieve that goal, Data mining analytical tools integrated with GIS can help to visualize the distribution. Thus, the main propose of this paper is to present a spatial distribution of HCV in Egypt using case data obtained from the Egyptian health institute National Hepatology Tropical Medicine Research Institute (NHTMR). The visualization of the spatial analysis distribution by means of GIS allows us to investigate statistical results that are easily interpreted by non-experts.
Presentation from the 3rd Joint Meeting of the Antimicrobial Resistance and Healthcare-Associated Infections (ARHAI) Networks, organised by the European Centre of Disease Prevention and Control - Stockholm, 11-13 February 2015
Comparison of Ultrabio HIV DNA PCR and Gag Real-Time PCR Assays for Total Hiv...CrimsonpublishersCJMI
Comparison of Ultrabio HIV DNA PCR and Gag Real-Time PCR Assays for Total Hiv-1 DNA Quantification by Tuofu Zhu in Cohesive Journal of Microbiology & Infectious Disease
various measures for the measurement of outcome such as incidence prevalence and other drug us measures are briefly discussed here with suitable examples and equations
SPATIAL CLUSTERING AND ANALYSIS ON HEPATITIS C VIRUS INFECTIONS IN EGYPT IJDKP
Lots of studies worldwide have been carried out to check out the prevalence of Hepatitis C Virus (HCV) in human populations. Spatial data analysis and clustering detection is a vital process in HCV monitoring to discover the area of high risk and to help involved decision makers to draw hypotheses about the cause of disease. Egypt is declared as one of the countries having the highest prevalence rate of HCV worldwide. The anomaly of the HCV infection’s distribution in Egypt allowed several researches to identify the reasons that contributed to such widespread of HCV in this country. One way that can help in identification of areas with highest diseases is to give a detailed knowledge about the geographical distribution of HCV in Egypt. To achieve that goal, Data mining analytical tools integrated with GIS can help to visualize the distribution. Thus, the main propose of this paper is to present a spatial distribution of HCV in Egypt using case data obtained from the Egyptian health institute National Hepatology Tropical Medicine Research Institute (NHTMR). The visualization of the spatial analysis distribution by means of GIS allows us to investigate statistical results that are easily interpreted by non-experts.
introduction-to-public-health. department of PHpdfosmanolow
An Introduction to pH. Simply put, pH measures the concentration of hydrogen ions in water. An ion is an atom or molecule that has gained or lost electrons, and thus has a negative or positive charge. The pH scale measures the concentration of those charges, assigning them a value from 0 to 14
Chapter 19 Public Health InformaticsBrian Dixon PhDSaurabh .docxzebadiahsummers
Chapter 19: Public Health Informatics
Brian Dixon PhD
Saurabh Rahurkar DrPH
Learning Objectives
After reviewing the presentation, viewers should be able to:
Define public health informatics (PHI)
Explain the importance of informatics to the practice of public
health and the role of informatics within a public health agency
Define and distinguish the various forms of public health surveillance systems used in practice
List several common data sources used in the field of public health for surveillance
Public health: “the science and art of preventing disease, prolonging life, and promoting health through the organized efforts and informed choices of society, organizations, public and private communities, and individuals.”
Public health informatics: “systematic application of information and computer science and technology to public health practice, research and learning”
Whereas physicians and care delivery organizations focus on the health of individuals, public health focuses on the health of populations and communities.
Definitions
Definitions
Public health surveillance: ongoing systematic collection, analysis, and interpretation of health-related data essential to planning, implementation and evaluation of public health practice, closely integrated with the timely dissemination of these data for prevention and control
Syndromic surveillance: surveillance using health-related data that precede diagnosis and signal a sufficient probability of a case or an outbreak to warrant further public health response
Introduction
The overarching goal of public health has been to monitor a variety of medical diseases and conditions rapidly and accurately so as to intervene as early as possible to detect, prevent, and mitigate the spread of epidemics, the effects of natural disasters, and bioterrorism
To address these challenges, public health organizations conduct a range of activities across three, broad core functions – assessment, policy development and assurance.
Assessment – Public health agencies spend most of their time and resources on investigations of potential threats to the public’s health. Activities include testing and monitoring of water quality, laboratory examination of diseases carried by mosquitoes, tracking food-borne illnesses, testing for environmental hazards (e.g. soil lead levels), monitoring for potential bioterrorism threats, and tracing the contacts for individuals exposed to diseases as well as hazardous chemicals.
Public Health 3 Core Functions
Policy Development – Public health agencies also create policies and regulations to protect the health of populations. For example, children may be required to have certain immunizations before they can attend school to prevent disease outbreaks that would harm children and disrupt family life. Agencies use the evidence they gather from their investigations as well as the scientific literature to advocate for p.
Unit-IV Health Surveillance ANP m.sc I year.pptxanjalatchi
Nurses modify patient risk factors through surveillance and intervention (often carried out simultaneously), with direct oversight and surveillance for groups of patients, enabling early detection and timely intervention (Dresser, 2012) .
define epidemiology
describe basic terminology and concepts of epidemiology
identify types of data sources
identify basic methods of data collection and interpretation
•
describe a public health problem in terms of time, place, and person
identify the key components of a descriptive epidemiology outbreak investigation
Under Pressure : Kenneth Kruk's StrategyKenneth Kruk
Kenneth Kruk's story of transforming challenges into opportunities by leading successful medical record transitions and bridging scientific knowledge gaps during COVID-19.
Rate Controlled Drug Delivery Systems, Activation Modulated Drug Delivery Systems, Mechanically activated, pH activated, Enzyme activated, Osmotic activated Drug Delivery Systems, Feedback regulated Drug Delivery Systems systems are discussed here.
Global launch of the Healthy Ageing and Prevention Index 2nd wave – alongside...ILC- UK
The Healthy Ageing and Prevention Index is an online tool created by ILC that ranks countries on six metrics including, life span, health span, work span, income, environmental performance, and happiness. The Index helps us understand how well countries have adapted to longevity and inform decision makers on what must be done to maximise the economic benefits that comes with living well for longer.
Alongside the 77th World Health Assembly in Geneva on 28 May 2024, we launched the second version of our Index, allowing us to track progress and give new insights into what needs to be done to keep populations healthier for longer.
The speakers included:
Professor Orazio Schillaci, Minister of Health, Italy
Dr Hans Groth, Chairman of the Board, World Demographic & Ageing Forum
Professor Ilona Kickbusch, Founder and Chair, Global Health Centre, Geneva Graduate Institute and co-chair, World Health Summit Council
Dr Natasha Azzopardi Muscat, Director, Country Health Policies and Systems Division, World Health Organisation EURO
Dr Marta Lomazzi, Executive Manager, World Federation of Public Health Associations
Dr Shyam Bishen, Head, Centre for Health and Healthcare and Member of the Executive Committee, World Economic Forum
Dr Karin Tegmark Wisell, Director General, Public Health Agency of Sweden
Empowering ACOs: Leveraging Quality Management Tools for MIPS and BeyondHealth Catalyst
Join us as we delve into the crucial realm of quality reporting for MSSP (Medicare Shared Savings Program) Accountable Care Organizations (ACOs).
In this session, we will explore how a robust quality management solution can empower your organization to meet regulatory requirements and improve processes for MIPS reporting and internal quality programs. Learn how our MeasureAble application enables compliance and fosters continuous improvement.
The global radiation oncology market size reached US$ 8.1 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 14.5 Billion by 2032, exhibiting a growth rate (CAGR) of 6.5% during 2024-2032.
More Info:- https://www.imarcgroup.com/radiation-oncology-market
Letter to MREC - application to conduct studyAzreen Aj
Application to conduct study on research title 'Awareness and knowledge of oral cancer and precancer among dental outpatient in Klinik Pergigian Merlimau, Melaka'
ICH Guidelines for Pharmacovigilance.pdfNEHA GUPTA
The "ICH Guidelines for Pharmacovigilance" PDF provides a comprehensive overview of the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) guidelines related to pharmacovigilance. These guidelines aim to ensure that drugs are safe and effective for patients by monitoring and assessing adverse effects, ensuring proper reporting systems, and improving risk management practices. The document is essential for professionals in the pharmaceutical industry, regulatory authorities, and healthcare providers, offering detailed procedures and standards for pharmacovigilance activities to enhance drug safety and protect public health.
KEY Points of Leicester travel clinic In London doc.docxNX Healthcare
In order to protect visitors' safety and wellbeing, Travel Clinic Leicester offers a wide range of travel-related health treatments, including individualized counseling and vaccines. Our team of medical experts specializes in getting people ready for international travel, with a particular emphasis on vaccines and health consultations to prevent travel-related illnesses. We provide a range of travel-related services, such as health concerns unique to a trip, prevention of malaria, and travel-related medical supplies. Our clinic is dedicated to providing top-notch care, keeping abreast of the most recent recommendations for vaccinations and travel health precautions. The goal of Travel Clinic Leicester is to keep you safe and well-rested no matter what kind of travel you choose—business, pleasure, or adventure.
The dimensions of healthcare quality refer to various attributes or aspects that define the standard of healthcare services. These dimensions are used to evaluate, measure, and improve the quality of care provided to patients. A comprehensive understanding of these dimensions ensures that healthcare systems can address various aspects of patient care effectively and holistically. Dimensions of Healthcare Quality and Performance of care include the following; Appropriateness, Availability, Competence, Continuity, Effectiveness, Efficiency, Efficacy, Prevention, Respect and Care, Safety as well as Timeliness.
Deep Leg Vein Thrombosis (DVT): Meaning, Causes, Symptoms, Treatment, and Mor...The Lifesciences Magazine
Deep Leg Vein Thrombosis occurs when a blood clot forms in one or more of the deep veins in the legs. These clots can impede blood flow, leading to severe complications.
1. Public Health 101 Series
Instructor name
Title
Organization
Introduction to Public Health
Surveillance
Center for Surveillance, Epidemiology, and Laboratory Services
Division of Scientific Education and Professional Development
Note: This slide set is in the public domain and may be customized as needed by the
user for informational or educational purposes. Permission from the Centers for
Disease Control and Prevention is not required, but citation of the source is
appreciated.
2. Course Topics
2
Introduction to Public Health
Surveillance
1. A Public Health Approach
2. What is Public Health Surveillance?
3. Public Health Surveillance Role and Uses
4. Public Health Surveillance Legal Basis
5. Public Health Surveillance Types and
Attributes
6. Public Health Surveillance Process
3. By the end of this session, you will be able to
• define public health surveillance
• describe the goal of public health surveillance
• describe the uses of a public health surveillance system
• recognize the legal basis for public health surveillance in
the United States
• compare active and passive public health surveillance
• identify sources of data commonly used for public health
surveillance
• describe the public health surveillance process
Learning Objectives
3
8. The ongoing, systematic collection,
analysis, and interpretation of
health-related data essential to
planning, implementation, and
evaluation of public health practice,
closely integrated with the timely
dissemination of these data to those
responsible for prevention and
control
Public Health Surveillance Defined
Adapted from: Thacker SB, Birkhead GS. Surveillance. In: Gregg, MB, ed. Field epidemiology. Oxford, England: Oxford University Press;
2008. 8
10. Goal of Public Health Surveillance
Provide information that can be used for health
action by public health personnel, government
leaders, and the public to guide public health
policy and programs
Smith PF, Hadler JL, Stanbury M, et al. Blueprint version 2.0: updating public health surveillance for the 21st century. J Public Health
Manag Pract 2013;19:231–9. 10
11. A. systemic, short-term
B. ongoing, systemic
C. ongoing, systematic
D. methodical, ongoing
Public Health Surveillance is the ________, __________
collection, analysis, and interpretation of health-
related data.
Knowledge Check
11
12. What is the goal of public health surveillance?
Knowledge Check
12
A. To give public health personnel policies to regulate
B. To provide information to be used for public
health action
C. To guide Congress in enacting public health laws
D. To keep the public aware of new diseases
14. • Identify patients and their contacts for treatment and
intervention
• Detect epidemics, health problems, changes in health
behaviors
• Estimate magnitude and scope of health problems
• Measure trends and characterize disease
• Monitor changes in infectious and environmental agents
• Assess effectiveness of programs and control measures
• Develop hypotheses and stimulate research
Uses of Public Health Surveillance
14
15. Whooping Cough Kills Five in California;
State Declares an Epidemic
Number of Rare E. Coli Cases
In U.S. Rose Last Year
Increase Seen in Deaths from
Pneumonia and Flu
Percentage of New Yorkers Lighting Up
is Down to 14%
New CDC Report Shows Adult Obesity
Growing or Holding Steady in All States
15
Public Health Headlines
16. Number of Rare E. Coli Cases
In U.S. Rose Last Year
16
Neuman W. Number of Rare E. Coli Cases In U.S. Rose Last Year. The New York Times. June 7, 2011. http://www.nytimes.com.
Accessed July 8, 2014.
17. Identify the surveillance uses that can be linked to
the New York Times E. coli article.
A. Measure trends of a particular disease
B. Estimate the magnitude of the problem
C. Monitor changes in infectious and environmental
agents
D. Assess effectiveness of programs and control
measures
E. All of the above
Knowledge Check
17
19. States have authority based on
the U.S. Constitution
• General welfare clause
• Interstate commerce clause
CDC responds when
• disease or condition has interstate
implications
• invited by a state
Legal Authority for Conducting
Public Health Surveillance
19
20. State-Based Notifiable Disease
Surveillance Systems
• Mandated by state law or regulation
• Health care providers, hospitals, and laboratories are
required to report cases to the local health
department (LHD)
• The LHD is usually responsible for case investigation
and action
• The LHD forwards the disease report to the state
health department
• The state health department assists the LHD as
needed
20
21. The purpose and legal basis for public health
surveillance is granted by which U.S. document?
A. Bill of Rights
B. Declaration of Independence
C. U.S. Constitution
D. 1812 Treaty of Public Health
Knowledge Check
21
22. CDC must be invited by a state before conducting
public health surveillance.
A. True
B. False
Knowledge Check
22
24. Passive Surveillance Active Surveillance
• Diseases are reported
by health care providers
• Simple and inexpensive
• Limited by incompleteness
of reporting and variability
of quality
• Health agencies contact
health providers seeking
reports
• Ensures more complete
reporting of conditions
• Used in conjunction
with specific epidemiologic
investigation
Types of Public Health Surveillance
24
25. Reporting of health events by health professionals who
are selected to represent a geographic area or a
specific reporting group
Can be active or passive
Sentinel Surveillance
Focuses on one or more symptoms rather than a
physician-diagnosed or laboratory-confirmed disease
Syndromic Surveillance
Other Types of Public Health Surveillance
25
26. Surveillance System Attributes
26
Attribute Question It Answers
Usefulness
How useful is the system in
accomplishing its objectives?
Data quality
How reliable are the available data?
How complete and accurate are data
fields in the reports received by the
system?
Timeliness How quickly are reports received?
Flexibility
How quickly can the system adapt to
changes?
Simplicity How easy is the system’s operation?
27. Surveillance System Attributes
27
Attribute Question It Answers
Stability
Does the surveillance system work
well?
Does it break down often?
Sensitivity
How well does it capture the
intended cases?
Predictive value
positive
How many of the reported cases
meet the case definition?
Representativeness
How good is the system at
representing the population under
surveillance?
Acceptability How easy is the system’s operation?
28. Knowledge Check
The New York State Department of Health contacts
the health providers in District A every Friday to obtain
the number of patients examined with Influenza. What
type of surveillance is this?
A. Passive
B. Active
28
30. Before collecting data, decide
on the overarching goal
of the system
Surveillance Process
Data
Collection
Data Analysis
Data
Interpretation
Data
Dissemination
Link to Action
30
31. Data Sources for Public Health Surveillance
• Reported diseases or syndromes
• Electronic health records (e.g., hospital discharge
data)
• Vital records (e.g., birth and death certificates)
• Registries (e.g., cancer, immunization)
• Surveys (e.g., National Health and Nutrition
Examination Survey [NHANES])
31
33. Reporting to WHO is required for cases of
Internationally Notifiable Diseases
33
• Smallpox
• Poliomyelitis (wild type)
• Human influenza caused by
any new subtype
• Severe acute respiratory
syndrome (SARS)
34. • Who will analyze the data?
• What methodology will they
use?
• How often will they analyze
the data?
Surveillance Data Analysis
Data
Collection
Data Analysis
Data
Interpretation
Data
Dissemination
Link to Action
34
35. Patients Hospitalized with West Nile
Virus Infection, by Week, New York, 1999
Week of illness onset
Nash D, Mostashari F, Fine A, et al. Outbreak of West Nile virus infection in the New York City area in 1999.
N Engl J Med. 2001;344:1807–14. 35
36. North Queens
Serosurvey Area
Surveillance Data Analysis by Place
Laboratory-Confirmed WNV Human Cases — August–September 1999
Map Courtesy of the New York City Department of Health and Mental Hygiene
36
37. Characteristic No. of Patients (%) Population at Risk
Rate of Infection per
Million Population
Age (years)
0–19 2 (3) 2,324,081 0.9
20–29 1 (2) 1,553,981 0.6
30–39 3 (5) 1,549,111 1.9
40–49 1 (2) 1,177,190 0.8
50–59 9 (15) 867,331 10.4
60–69 12 (22) 814,838 16.0
70–79 18 (31) 534,785 33.7
≥80 12 (20) 281,054 42.7
Age category (years)
≥50 52 (88) 2,498,008 20.8
<50 7 (12) 6,604,363 1.1
Sex
Male 31 (53) 4,289,988 7.2
Female 28 (47) 4,812,383 5.8
Race
White 41 (69) 5,983,901 6.9
Nonwhite 9 (15) 3,118,470 2.9
Unknown 9 (15) -- --
Borough or county of residence
New York City
Brooklyn (Kings) 3 (5) 2,300,664 1.3
Bronx 9 (15) 1,203,789 7.5
Manhattan 1 (2) 1,487,536 0.7
Queens 32 (54) 1,951,599 16.4
Staten Island (Richmond) 0 379,999 0.0
New York State
Nassau 6 (10) 1,287,348 4.7
Westchester 8 (14) 847,866 9.1
Data Analysis by Person
Do you notice any patterns in the rates?
37Nash D, Mostashari F, Fine A, et al. Outbreak of West Nile virus infection in the New York City area in 1999. N Engl
J Med. 2001;344:1807–14.
Demographics for Persons Hospitalized for WNV and Population Rates of Infection
38. Data interpretation
is closely coupled
with data analysis
Surveillance Data Interpretation
Data
Collection
Data Analysis
Data
Interpretation
Data
Dissemination
Link to Action
38
39. What Can Account for an
Apparent Increase in Cases?Number of Rare E. Coli Cases
In U.S. Rose Last Year
39
Neuman, W. Rare E. Coli Cases Rose In the U.S. Last Year. New York Times June 7, 2011. http://www.nytimes.com. Accessed
July 9, 2014.
40. • Health agency newsletters,
bulletins, or alerts
• Surveillance summaries and
reports
• Medical and epidemiologic
journal articles
• Press releases and social
media
Data Dissemination
Data
Collection
Data Analysis
Data
Interpretation
Data
Dissemination
Link to Action
40
41. • Public health practitioners
• Clinicians and other health care providers
• Policy and other decision makers
• Community organizations
• The general public
Data Dissemination Target Audiences
41
42. Public health surveillance
should always have a
link to action
Surveillance Link to Action
Data
Collection
Data Analysis
Data
Interpretation
Data
Dissemination
Link to Action
42
43. Link to Action
Monitor trends and patterns in disease, risk factors, and agents
43
Source: Centers for Disease Control and Prevention (CDC). National Notifiable Diseases Surveillance System and Supplemental
Pertussis Surveillance System and 1922-1949, passive reports to the US Public Health Service. Atlanta, GA: US Department of
Health and Human Services, CDC. Available at: http://www.cdc.gov/pertussis/images/incidence-graph.jpg.
Pertussis (Whooping Cough) Cases, by Year — United States, 1922–2000
44. Choose the option that is NOT a part of the public
health surveillance process.
A. Data dissemination
B. Data storage
C. Link to action
D. Data collection
Knowledge Check
44
45. In data interpretation, by identifying the ___________,
________, and _____________, you can more easily
determine how and why the health event occurred.
A. disease, risk, occurrence
B. person, protocol, risk
C. person, place, time
D. risk, protocol, disease
Knowledge Check
45
46. Choose the option that is NOT a source of data used
for public health surveillance.
A. Administrative data systems
B. Vital records
C. Newspaper articles
D. Disease notifications
Knowledge Check
46
47. • Describe the burden of or potential for disease
• Monitor trends and patterns in disease, risk factors, and
agents
• Detect sudden changes in disease occurrence and
distribution
• Provide data for programs, policies, and priorities
• Evaluate prevention and control efforts
Public Health Surveillance-Based Action
47
48. Foege WH, Hogan RC, Newton LH. Surveillance projects for selected diseases. Int J Epidemiol 1976;5:29–37. 48
Photo: Kay Hinton, Emory University
“The reason for collecting,
analyzing, and disseminating
information on a disease is to
control that disease. Collection
and analysis should not be
allowed to consume resources if
action does not follow.”
—William Foege, 1976
49. During this session, you learned to
• define public health surveillance
• describe the goal of public health surveillance
• describe the uses of public health surveillance system
• recognize the legal basis for public health surveillance
in the United States
• compare active and passive public health surveillance
• identify sources of data commonly used for public health
surveillance
• describe the public health surveillance process
Course Summary
49
51. • Smith PF, Hadler JL, Stanbury M, et al. Blueprint version 2.0: updating public
health surveillance for the 21st century. J Public Health Manag Pract
2013;19:231–9.
• Centers for Disease Control and Prevention. CDC’s vision for public health
surveillance in the 21st century. Morb Mortal Wkly Rep 2012;61(Suppl, July 27,
2012):1–40.
• Centers for Disease Control and Prevention (CDC). Principles of epidemiology
in public health practice [Self-Study Course]. 3rd ed. Atlanta, GA: US
Department of Health and Human Services, CDC; 2006.
http://www.cdc.gov/osels/scientific_edu/ss1978/SS1978.pdf.
• Lee LM, Teutsch SM, Thacker SB, St. Louis M, Eds. Principles and practice of
public health surveillance. 3rd ed. Oxford, England: Oxford University Press;
2010.
• Thacker SB, Birkhead GS. Surveillance. In: Gregg, MB, ed. Field epidemiology.
Oxford, England: Oxford University Press; 2008.
• Langmuir AD. The surveillance of communicable diseases of national
importance. New Engl J Med 1963;258:182–92.
• Foege WH, Hogan RC, Newton LH. Surveillance projects for selected diseases.
Int J Epidemiol 1976;5:29–37.
Resources and Additional Reading
51
52. • Centers for Disease Control and Prevention. Updated guidelines for evaluating
public health surveillance systems: recommendations from the Guidelines
Working Group. MMWR Recommend Rep 2001;50(No. RR-13).
• Centers for Disease Control and Prevention (CDC). Surveillance resource
center. Atlanta, GA: US Department of Health and Human Services, CDC; 2013.
http://www.cdc.gov/surveillancepractice/.
• Nash D, Mostashari F, Fine A, et al. Outbreak of West Nile virus infection in the
New York City area in 1999. N Engl J Med. 2001;344:1807–14.
• Török TJ, Tauxe RV, Wise RP, et al. A large community outbreak of salmonellosis
caused by intentional contamination of restaurant salad bars. JAMA
1997;278:389–95.
• Kim M, Berger D, Matte T. Diabetes in New York City: public health burden and
disparities. New York: New York City Department of Health and Mental
Hygiene; 2006.
http://www.nyc.gov/html/doh/downloads/pdf/epi/diabetes_chart_book.pdf.
• Swerdlow DL, Woodruff BA, Brady RC, et al. A waterborne outbreak in Missouri
of Escherichia coli O157:H7 associated with bloody diarrhea and death. Ann
Intern Med 1992;117:812–9.
Resources and Additional Reading
52
54. Link to Action
Provide data for programs, policies, and priorities
1994–95 1996–97
%Reportingdiabetes
Year
1998–99 2000–01 2002 2003 2004
Kim M, Berger D, Matte T. Diabetes in New York City: public health burden and disparities. New York: New York City Department of
Health and Mental Hygiene; 2006. http://www.nyc.gov/html/doh/downloads/pdf/epi/diabetes_chart_book.pdf. 54
55. Link to Action
Evaluate prevention and control effortsNo.ofcases
Swerdlow DL, Woodruff BA, Brady RC, et al. A waterborne outbreak in Missouri of Escherichia coli O157:H7 associated with bloody
diarrhea and death. Ann Intern Med 1992;117:812–9.
Water
system
flushed
Boil-water
order
Date of onset
55
56. Link to Action
Evaluate prevention and control efforts (continued)
No.ofcases
Swerdlow DL, Woodruff BA, Brady RC, et al. A waterborne outbreak in Missouri of Escherichia coli O157:H7 associated with bloody
diarrhea and death. Ann Intern Med 1992;117:812–9.
Water
system
flushed
Boil-water
order
Chlorine
added
Date of onset
56
57. Links provided in this course to nonfederal organizations are provided solely as a
service to our users. These links do not constitute an endorsement of these
organizations nor their programs by the Centers for Disease Control and
Prevention (CDC) or the federal government, and none should be inferred. CDC
is not responsible for the content contained at these sites.
Use of trade names and commercial sources is for identification only and does
not imply endorsement by the Division of Scientific Education and Professional
Development, Center for Surveillance, Epidemiology, and Laboratory Services,
Centers for Disease Control and Prevention, the Public Health Service, or the U.S.
Department of Health and Human Services.
The findings and conclusions in this course are those of the authors and do not
necessarily represent the official position of the Centers for Disease Control and
Prevention.
Disclaimers
57
58. For more information, please contact the Centers for Disease Control and Prevention
1600 Clifton Road NE, Atlanta, GA 30333
Telephone: 1-800-CDC-INFO (232-4636)/TTY: 1-888-232-6348
Visit: http://www.cdc.gov | Contact CDC at: 1-800-CDC-INFO or http://www.cdc.gov/info
The findings and conclusions in this course are those of the authors and do not necessarily represent the official position of the
Centers for Disease Control and Prevention.
Center for Surveillance, Epidemiology, and Laboratory Services
Division of Scientific Education and Professional Development