The Enhanced Passive Surveillance System: A Solution Supporting Data Collection, Integration and Analysis for Disease Surveillance

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1 The Enhanced Passive Surveillance System: A Solution Supporting Data Collection, Integration and Analysis for Disease Surveillance Lindsey Holmstrom, DVM Epidemiologist Institute for Infectious Animal Diseases A Department of Homeland Security Science and Technology Center of Excellence Texas A&M University, College Station, Texas, USA 1

2 Disease Surveillance Systems Future disease surveillance is focused on broader surveillance methods Moving away from one disease/one surveillance plan Application of innovative information science and technology systems Integrated animal disease surveillance systems Leverage new tools & technologies Implement novel ways to collect & evaluate data Develop new surveillance streams & strategies Encourages new partnerships Rewards & incentivizes participation Ensure information is available when needed Optimize Surveillance Competencies: Priorities 2

3 Integrated Disease Surveillance System Active Surveillance Analytical Risk-based, targeted Slaughter Programmatic, OIE list diseases Enhanced Passive Surveillance Participatory, community-based Opportunistic Disease Agnostic Vets/Producers Internationally recognized assays ELISA, PCR Sequencing Diagnostic Laboratory LIMS/submission form data Test orders Test results Animal Disease Surveillance 3

4 EPS System: Concept Automatic or near real-time data collection and analysis Standardized, disease agnostic reporting Multiple data streams Data collection in the field using mobile applications Diagnostic laboratory data Use data, methods to allow for identification of subtle trends not visible to an individual Provide indicators to anomaly detection, investigation, quantification, localization, communication, and outbreak management 4

5 Project Background Enhances situational awareness and demonstrates the usefulness of multiple-data stream syndromic surveillance by: Applying the power of real-time reporting and data aggregation to animal and wildlife surveillance Leveraging first responders (veterinarians) for animal and public health surveillance Estimating baseline prevalence rates of observed animal health anomalies for each stream Evaluating the significance of resulting signals as disease detection events Providing early warning information obtained from validated signaling activity to stakeholders to assist in making decisions 5

6 Enhanced Passive Surveillance System BFES Mobile Application EPS Analyst Workstation BFES is a mobile application for real-time collection and reporting of enhanced surveillance data Veterinarians, producers, and production managers can enter healthy and syndromic animal health data from livestock/poultry premises and livestock markets A web-based analyst workstation allows for the integration of surveillance data with other data streams (e.g., diagnostic laboratories, wildlife, and environmental data sources) into a common display for analysis Epidemiologists and other analysts can evaluate and analyze the data in real-time through the use of different visual, geospatial, and temporal analysis tools Embedded surveillance algorithms are included to help determine baseline conditions in order to detect any anomalies that may signal the onset of an animal disease outbreak 6

7 Integration of Data Streams Surveillance Data Industry Vet Wildlife Syndromic Reports Biologist Production-level Indicator Data Laboratory Data Test Order Counts Test Results EPS Analyst Workstation Common Integrated Picture Environmental Data Season Rainfall Temperature Vegetation Soil 7

8 EPS Analyst Workstation State Government Federal Government Aggregation of all data streams into one common operating picture Web-based, user permissioned access for industry, States, and USDA Immediate access to data as surveillance reports are submitted from the field in real-time Automated visual, geospatial, and temporal analysis tools Surveillance algorithms to calculate baselines and detect animal health anomalies Data can be downloaded and imported into other statistical and analytical programs User generated reports to end users 8

9 Current Reporting by EPS Users Cattle/Small Ruminant: Over 22,215 reports submitted since July 2012 Represents the health status of over 1.1 million animals in 3 states Reporting activity 70-80% Equine: Over 4,229 reports submitted since August 2013 Represents the health status of over 45,131 horses in Colorado Reporting activity is % Poultry: 40 syndromic reports submitted since August 2013 Represents the health status of over 317,050 birds in Texas EPS Analyst Workstation: Deployed in Federal Government (USDA) and 3 State Governments 11 government analysts trained on its use 9

10 Program Management Program Management Structure EPS Integrated Project Team (IPT) Fed-only Working Group Data Access, Protection and Use (Federal Partners Only) Joint Working Groups IIAD Working Group Data Access, Protection and Use (Industry and State Partners Only) Data Access, Protection and Use (Feds, States, and Industry) Data Standardization and Ontology Lab Data Standardization/ Test Categorization Industry* EPS Analyst Workstation Design EPS Data Analysis and Baseline Determination Methodologies EPS System Assessment and Detection Window Exercises Expansion, Sustainability, and Transition *There will be separate WGs for each industry 10

11 Expansion of the EPS System (Year 1) Swine Mixed Animal 10 Swine Companies/Practices Medium/large integrated operations, genetics operations, swine practices 30+ swine veterinarians in 13 states Coverage: ~5.2 million pigs monitored 3 Veterinary Diagnostic Labs 3+ State Government EPS AWS Deployed Beef cattle, dairy cattle, equine, poultry, small ruminants, swine, and wildlife 100+ Veterinary Practitioners in 6 states 58 BFES users currently 4 Veterinary Diagnostic Labs 6 State Government EPS AWS Deployed 11

12 Expansion to Other Industries Year 2 Focus Industry Expansion Feedlot: targeting 3 large feedlot regions/states and labs Wildlife: working with USDA APHIS Wildlife Services and USGS Big Data/Data Analytics partners Year 3 Focus Industry Expansion Poultry: targeting 3 production systems (commercial egg layers, broilers/breeders, turkeys) and 2 labs Dairy: targeting 3 large dairy regions/states and labs Perform an exercise to evaluate the efficacy/utility of the system Transition a low-cost, low-maintenance system 12

13 Enhanced Passive Surveillance System Facilitates data sharing and communication among stakeholders Users engaged, customization of technology to meet requirements Creates new and strengthens current partnerships User permissioned access, data protection, security, and standardization Contributes evidence for: Claims of disease freedom and quantification of how much we are looking for disease Emerging disease detection or changes in endemic disease status Identifying areas for more intensive surveillance Identifying data trends, change in prevalence and geographic/temporal distribution of diseases ( anomalies ) Provides a template supporting national implementation Outcome: A sophisticated system that serves as a central point for multiple groups to collaborate and leverage their collective resources, facilitating access to critical, cutting-edge technologies to better assess animal health and inform decision-making 13

14 The EPS System: International Applications Incorporate community-based and participatory methods to enhance conventional surveillance Tracking of human and animal health activities Education/outreach of the health environment and risk factors Engage populations from being passive recipients of information to active participants in a collaborative community Challenges Country-specific reporting requirements Reporting timeliness Data source authentication Data validation Data needs Continuous reporting and sustainability Solutions Integration of existing database systems Adaptable system responsive to changing human/animal health Automated, customizable tools Auto-population of data Data standardization Value back to participants 14

15 Questions? 15

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