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Surveillance Systems and Outbreak Detection

Prof. Eyal Oren, Director, The School of Public Health (SPH) at San Diego State University

Surveillance Systems and Outbreak Detection

Main Areas of Interest

  • Surveillance Systems
  • Outbreak Detection
  • Public Health Practice
  • Global Health
  • Epidemiology
  • Socioeconomic Factors in Health Outcomes
  • Emerging Infectious Diseases

Next available slots in February 2025

Disclaimer: Prof. Eyal Oren is affiliated with San Diego State University, and this program reflects his expertise. However, it is independently hosted and not endorsed by or affiliated with San Diego State University. Certificates issued will note Dr. Oren's affiliation but do not imply university endorsement.

  • Automated Alert Systems
  • Respiratory Virus Sentinel Surveillance
  • Syndromic Surveillance Using Search Engine Data
  • Genotype Data Analysis Linked to Surveillance Systems
  • Socioeconomic and Health Outcome Data Analysis
  • Emerging Technology Integration in Public Health

Module 1: Introduction to Public Health Surveillance

Overview: This module provides a foundation in the principles and practices of public health surveillance, focusing on the role of surveillance systems in detecting and monitoring disease outbreaks.

Topics:

  • Principles of Public Health Surveillance
  • History and Evolution of Surveillance Systems
  • Types of Surveillance Systems
  • Case Studies in Surveillance

Techniques:

  • Data Collection Methods
  • Analysis of Surveillance Data
  • Use of Surveillance Systems in Public Health

Module 2: Automated Alert Systems in Public Health

Overview: This module delves into the development and implementation of automated alert systems to identify public health threats promptly.

Topics:

  • Automated Alert Mechanisms
  • Case Studies on Automated Alerts
  • Integration with Public Health Delivery Systems

Techniques:

  • Designing Automated Alert Systems
  • Data Integration and Analysis
  • Implementation Strategies

Module 3: Respiratory Virus Sentinel Surveillance

Overview: Focuses on sentinel surveillance systems for respiratory viruses, with a case study on COVID-19 surveillance in California.

Topics:

  • Sentinel Surveillance Systems
  • COVID-19 and Other Respiratory Viruses
  • Data Collection and Analysis

Techniques:

  • Enhanced Patient Data Collection
  • Comprehensive Testing Protocols
  • Analysis of Sentinel Data

Module 4: Syndromic Surveillance Using Search Engine Data

Overview: Explores the innovative use of search engine data for non-specific syndromic surveillance to detect infectious disease outbreaks.

Topics:

  • Non-Specific Syndromic Surveillance
  • Use of Search Engine Data
  • Case Studies on Outbreak Detection

Techniques:

  • Effect-Size Filtering
  • Data Analysis from Search Engines
  • Real-Time Surveillance Implementation

Module 5: Socioeconomic Factors and Health Outcomes

Overview: Examines the impact of socioeconomic factors on health outcomes, with a focus on tuberculosis.

Topics:

  • Socioeconomic Disadvantage and Health
  • Tuberculosis Transmission and Outcomes
  • Public Health Disparities

Techniques:

  • Socioeconomic Data Analysis
  • Linking Genotype and Surveillance Data
  • Retrospective Cohort Studies

Module 6: Emerging Technologies in Public Health

Overview: Discusses the role of emerging technologies in reducing medication errors, adverse drug events, and enhancing public health surveillance.

Topics:

  • Technology Integration in Public Health
  • Medication Error Reduction
  • Adverse Drug Event Prevention

Techniques:

  • Evaluation of Emerging Technologies
  • Data Security and Confidentiality
  • Real-World Application Analysis

Important Publications

Health Action, Washington, USA

  • Summary: This paper discusses automated alerts generated for public health actions, with a focus on public health delivery systems.
  • Link to PDF

Severe Acute Respiratory Syndrome Coronavirus 2 and Respiratory Virus Sentinel Surveillance, California, USA, May 10, 2020–June 12, 2021

  • Summary: This study involves using a surveillance system to collect enhanced patient data and respiratory specimens for comprehensive testing in local county health departments and public health laboratories.
  • Link to Article

The State of US Health, 1990-2016: Burden of Diseases, Injuries, and Risk Factors Among US States

  • Summary: This paper provides a comprehensive assessment of health patterns in the US and is used to inform national health priorities.
  • Link to Article

Detection of Infectious Disease Outbreaks in Search Engine Time Series Using Non-Specific Syndromic Surveillance with Effect-Size Filtering

  • Summary: This paper discusses the detection of health events through community surveillance using search engine data.
  • Link to PDF

Respiratory Syncytial Virus Tracking Using Internet Search Engine Data

  • Summary: This paper covers the use of internet search engine data for tracking respiratory syncytial virus and compares it with existing surveillance systems.
  • Link to PDF

Neighborhood Socioeconomic Position and Tuberculosis Transmission: A Retrospective Cohort Study

  • Summary: This study links genotype results to National TB Surveillance System data to identify clusters in tuberculosis transmission.
  • Link to PDF

Assessing the Relationship Between Socioeconomic Disadvantage and Tuberculosis Outcomes

  • Summary: This dissertation examines the relationship between socioeconomic factors and tuberculosis outcomes using National TB Surveillance System data.
  • Link to Document

Modeling Infection Methods of Computer Malware in the Presence of Vaccinations Using Epidemiological Models: An Analysis of Real-World Data

  • Summary: This paper analyzes computer malware infection methods using epidemiological models and highlights the importance of public health-like interventions.
  • Link to PDF

Impact of Emerging Technologies on Medication Errors and Adverse Drug Events

  • Summary: This paper evaluates the impact of new technologies on medication errors and adverse drug events in health systems.
  • Link to Article

These papers provide a comprehensive view of Eyal Oren's contributions to public health surveillance systems and outbreak detection.

Total Number of Modules 6
Time duration of Each module 30 minutes
Total Program Cost $656.25

Those interested in Surveillance Systems and Outbreak Detection (Public Health Practice, Surveillance Systems, Global Health)

Host Name: Prof. Eyal Oren

Affiliation: Prof. Eyal Oren, Director, The School of Public Health (SPH) at San Diego State University

Address: 5500 Campanile Dr, San Diego, CA 92182, United States

Website URL: https://publichealth.sdsu.edu/overview/

Disclaimer:It is mandatory that all applicants carry workplace liability insurance, e.g., https://www.protrip-world-liability.com (Erasmus students use this package and typically costs around 5 € per month - please check) in addition to health insurance when you join any of the onsite Trialect partnered fellowships.

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Application Review Deadline:

Dec 1st, 2024

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