Changes to Timeliness and Completeness of Infectious Disease Reporting in Texas After Implementation of an Epidemiologic Capacity Program

2021 ◽  
pp. 003335492110094
Author(s):  
Kahler W. Stone ◽  
Marilyn Felkner ◽  
Eric Garza ◽  
Maria Perez-Patron ◽  
Cason D. Schmit ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Median Time ◽  
Disease Surveillance ◽  
Case Reports ◽  
High Volume ◽  
Local Health ◽  
Foodborne Illnesses ◽  
Disease Reporting ◽  
Infectious Disease Reporting ◽  
Disease Case

Objectives The objective of this study was to characterize the changes in timeliness and completeness of disease case reporting in Texas in response to an increasing number of foodborne illnesses and high-consequence infectious disease investigations and the Texas Department of State Health Services’ new state-funded epidemiologist (SFE) program. Methods We extracted electronic disease case reporting data on 42 conditions from 2012 through 2016 in all local health department (LHD) jurisdictions. We analyzed data on median time for processing reports and percentage of complete reports across time and between SFE and non-SFE jurisdictions using Mann–Whitney t tests and z scores. Results The median time of processing improved from 13 days to 10 days from 2012 to 2016, and the percentage of disease case reports that were complete improved from 19.6% to 27.7%. Most reports were for foodborne illnesses; both timeliness (11 to 7 days) and completeness (20.9% to 23.5%) improved for these reports. Conclusions Disease reporting improvements in timeliness and completeness were associated with the SFE program and its enhancement of epidemiologic capacity. SFEs were shown to improve surveillance metrics in LHDs, even in jurisdictions with a high volume of case reports. Adding epidemiologist positions in LHDs produces a tangible outcome of improved disease surveillance.

Web-based infectious disease reporting using XML forms

2008 ◽  
Vol 77 (9) ◽  
pp. 630-640 ◽  
Author(s):  
Danhong Liu ◽  
Xia Wang ◽  
Feng Pan ◽  
Yongyong Xu ◽  
Peng Yang ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Web Based ◽  
Disease Reporting ◽  
Infectious Disease Reporting

scholarly journals The Validity of Self-Initiated, Event-Driven Infectious Disease Reporting in General Population Cohorts

PLoS ONE ◽  
2013 ◽  
Vol 8 (4) ◽  
pp. e61644 ◽  
Author(s):  
Hanna Merk ◽  
Sharon Kühlmann-Berenzon ◽  
Christin Bexelius ◽  
Sven Sandin ◽  
Jan-Eric Litton ◽  
...  
Keyword(s):  
Infectious Disease ◽  
General Population ◽  
Disease Reporting ◽  
Infectious Disease Reporting ◽  
Event Driven

scholarly journals Factors Influencing the Accuracy of Infectious Disease Reporting in Migrants: A Scoping Review

2017 ◽  
Vol 14 (7) ◽  
pp. 720 ◽  
Author(s):  
Paolo Giorgi Rossi ◽  
Flavia Riccardo ◽  
Annamaria Pezzarossi ◽  
Paola Ballotari ◽  
Maria Dente ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Scoping Review ◽  
Disease Reporting ◽  
Factors Influencing ◽  
Infectious Disease Reporting

Interactive Voice Response and web-based questionnaires for population-based infectious disease reporting

2010 ◽  
Vol 25 (10) ◽  
pp. 693-702 ◽  
Author(s):  
Christin Bexelius ◽  
Hanna Merk ◽  
Sven Sandin ◽  
Olof Nyrén ◽  
Sharon Kühlmann-Berenzon ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Interactive Voice Response ◽  
Population Based ◽  
Web Based ◽  
Disease Reporting ◽  
Infectious Disease Reporting ◽  
Voice Response

scholarly journals Global Infectious Disease Surveillance and Case Tracking System for COVID-19: Development Study

10.2196/20567 ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. e20567
Author(s):  
Hsiu-An Lee ◽  
Hsin-Hua Kung ◽  
Yuarn-Jang Lee ◽  
Jane C-J Chao ◽  
Jai Ganesh Udayasankaran ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Health Care ◽  
Disease Surveillance ◽  
Tracking System ◽  
Disease Spread ◽  
Easy Access ◽  
Infectious Disease Surveillance ◽  
Cross Border ◽  
Disease Case ◽  
Tracking Module

Background COVID-19 has affected more than 180 countries and is the first known pandemic to be caused by a new virus. COVID-19’s emergence and rapid spread is a global public health and economic crisis. However, investigations into the disease, patient-tracking mechanisms, and case report transmissions are both labor-intensive and slow. Objective The pandemic has overwhelmed health care systems, forcing hospitals and medical facilities to find effective ways to share data. This study aims to design a global infectious disease surveillance and case tracking system that can facilitate the detection and control of COVID-19. Methods The International Patient Summary (IPS; an electronic health record that contains essential health care information about a patient) was used. The IPS was designed to support the used case scenario for unplanned cross-border care. The design, scope, utility, and potential for reuse of the IPS for unplanned cross-border care make it suitable for situations like COVID-19. The Fast Healthcare Interoperability Resources confirmed that IPS data, which includes symptoms, therapies, medications, and laboratory data, can be efficiently transferred and exchanged on the system for easy access by physicians. To protect privacy, patient data are deidentified. All systems are protected by blockchain architecture, including data encryption, validation, and exchange of records. Results To achieve worldwide COVID-19 surveillance, a global infectious disease information exchange must be enacted. The COVID-19 surveillance system was designed based on blockchain architecture. The IPS was used to exchange case study information among physicians. After being verified, physicians can upload IPS files and receive IPS data from other global cases. The system includes a daily IPS uploading and enhancement plan, which covers real-time uploading through the interoperation of the clinic system, with the module based on the Open Application Programming Interface architecture. Through the treatment of different cases, drug treatments, and the exchange of treatment results, the disease spread can be controlled, and treatment methods can be funded. In the Infectious Disease Case Tracking module, we can track the moving paths of infectious disease cases. The location information recorded in the blockchain is used to check the locations of different cases. The Case Tracking module was established for the Centers for Disease Control and Prevention to track cases and prevent disease spread. Conclusions We created the IPS of infectious diseases for physicians treating patients with COVID-19. Our system can help health authorities respond quickly to the transmission and spread of unknown diseases, and provides a system for information retrieval on disease transmission. In addition, this system can help researchers form trials and analyze data from different countries. A common forum to facilitate the mutual sharing of experiences, best practices, therapies, useful medications, and clinical intervention outcomes from research in various countries could help control an unknown virus. This system could be an effective tool for global collaboration in evidence-based efforts to fight COVID-19.

scholarly journals Global Infectious Disease Surveillance and Case Tracking System for COVID-19: Development Study (Preprint)

2020 ◽  
Author(s):  
Hsiu-An Lee ◽  
Hsin-Hua Kung ◽  
Yuarn-Jang Lee ◽  
Jane C-J Chao ◽  
Jai Ganesh Udayasankaran ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Health Care ◽  
Disease Surveillance ◽  
Tracking System ◽  
Disease Spread ◽  
Easy Access ◽  
Infectious Disease Surveillance ◽  
Cross Border ◽  
Disease Case ◽  
Tracking Module

BACKGROUND COVID-19 has affected more than 180 countries and is the first known pandemic to be caused by a new virus. COVID-19’s emergence and rapid spread is a global public health and economic crisis. However, investigations into the disease, patient-tracking mechanisms, and case report transmissions are both labor-intensive and slow. OBJECTIVE The pandemic has overwhelmed health care systems, forcing hospitals and medical facilities to find effective ways to share data. This study aims to design a global infectious disease surveillance and case tracking system that can facilitate the detection and control of COVID-19. METHODS The International Patient Summary (IPS; an electronic health record that contains essential health care information about a patient) was used. The IPS was designed to support the used case scenario for unplanned cross-border care. The design, scope, utility, and potential for reuse of the IPS for unplanned cross-border care make it suitable for situations like COVID-19. The Fast Healthcare Interoperability Resources confirmed that IPS data, which includes symptoms, therapies, medications, and laboratory data, can be efficiently transferred and exchanged on the system for easy access by physicians. To protect privacy, patient data are deidentified. All systems are protected by blockchain architecture, including data encryption, validation, and exchange of records. RESULTS To achieve worldwide COVID-19 surveillance, a global infectious disease information exchange must be enacted. The COVID-19 surveillance system was designed based on blockchain architecture. The IPS was used to exchange case study information among physicians. After being verified, physicians can upload IPS files and receive IPS data from other global cases. The system includes a daily IPS uploading and enhancement plan, which covers real-time uploading through the interoperation of the clinic system, with the module based on the Open Application Programming Interface architecture. Through the treatment of different cases, drug treatments, and the exchange of treatment results, the disease spread can be controlled, and treatment methods can be funded. In the Infectious Disease Case Tracking module, we can track the moving paths of infectious disease cases. The location information recorded in the blockchain is used to check the locations of different cases. The Case Tracking module was established for the Centers for Disease Control and Prevention to track cases and prevent disease spread. CONCLUSIONS We created the IPS of infectious diseases for physicians treating patients with COVID-19. Our system can help health authorities respond quickly to the transmission and spread of unknown diseases, and provides a system for information retrieval on disease transmission. In addition, this system can help researchers form trials and analyze data from different countries. A common forum to facilitate the mutual sharing of experiences, best practices, therapies, useful medications, and clinical intervention outcomes from research in various countries could help control an unknown virus. This system could be an effective tool for global collaboration in evidence-based efforts to fight COVID-19.

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