Building a Simple Model to Assess the Impact of Case Investigation and Contact Tracing for Sexually Transmitted Diseases: Lessons From COVID-19
Introduction: During the COVID-19 pandemic, the U.S. Centers for Disease Control and Prevention developed a simple spreadsheet-based tool to help state and local public health officials assess the performance and impact of COVID-19 case investigation and contact tracing in their jurisdiction. The ap...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-02-01
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| Series: | AJPM Focus |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2773065423000846 |
| _version_ | 1797347017844850688 |
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| author | François M. Castonguay, PhD Harrell W. Chesson, PhD Seonghye Jeon, PhD Gabriel Rainisch, MPH Leah S. Fischer, PhD Biswha B. Adhikari, PhD Emily B. Kahn, PhD Bradford Greening, Jr, PhD Thomas L. Gift, PhD Martin I. Meltzer, PhD |
| author_facet | François M. Castonguay, PhD Harrell W. Chesson, PhD Seonghye Jeon, PhD Gabriel Rainisch, MPH Leah S. Fischer, PhD Biswha B. Adhikari, PhD Emily B. Kahn, PhD Bradford Greening, Jr, PhD Thomas L. Gift, PhD Martin I. Meltzer, PhD |
| author_sort | François M. Castonguay, PhD |
| collection | DOAJ |
| description | Introduction: During the COVID-19 pandemic, the U.S. Centers for Disease Control and Prevention developed a simple spreadsheet-based tool to help state and local public health officials assess the performance and impact of COVID-19 case investigation and contact tracing in their jurisdiction. The applicability and feasibility of building such a tool for sexually transmitted diseases were assessed. Methods: The key epidemiologic differences between sexually transmitted diseases and respiratory diseases (e.g., mixing patterns, incubation period, duration of infection, and the availability of treatment) were identified, and their implications for modeling case investigation and contact tracing impact with a simple spreadsheet tool were remarked on. Existing features of the COVID-19 tool that are applicable for evaluating the impact of case investigation and contact tracing for sexually transmitted diseases were also identified. Results: Our findings offer recommendations for the future development of a spreadsheet-based modeling tool for evaluating the impact of sexually transmitted disease case investigation and contact tracing efforts. Generally, we advocate for simplifying sexually transmitted disease–specific complexities and performing sensitivity analyses to assess uncertainty. The authors also acknowledge that more complex modeling approaches might be required but note that it is possible that a sexually transmitted disease case investigation and contact tracing tool could incorporate features from more complex models while maintaining a user-friendly interface. Conclusions: A sexually transmitted disease case investigation and contact tracing tool could benefit from the incorporation of key features of the COVID-19 model, namely its user-friendly interface. The inherent differences between sexually transmitted diseases and respiratory viruses should not be seen as a limitation to the development of such tool. |
| first_indexed | 2024-03-08T11:41:30Z |
| format | Article |
| id | doaj.art-824d7bb0e81946039551dea1ae7ed5b7 |
| institution | Directory Open Access Journal |
| issn | 2773-0654 |
| language | English |
| last_indexed | 2024-03-08T11:41:30Z |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | AJPM Focus |
| spelling | doaj.art-824d7bb0e81946039551dea1ae7ed5b72024-01-25T05:24:37ZengElsevierAJPM Focus2773-06542024-02-0131100147Building a Simple Model to Assess the Impact of Case Investigation and Contact Tracing for Sexually Transmitted Diseases: Lessons From COVID-19François M. Castonguay, PhD0Harrell W. Chesson, PhD1Seonghye Jeon, PhD2Gabriel Rainisch, MPH3Leah S. Fischer, PhD4Biswha B. Adhikari, PhD5Emily B. Kahn, PhD6Bradford Greening, Jr, PhD7Thomas L. Gift, PhD8Martin I. Meltzer, PhD9Health Economics and Modeling Unit, Division of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia; Department of Health Management, Evaluation and Policy, School of Public Health, University of Montréal, Montréal, Québec, Canada; Centre for Public Health Research (CReSP), Montréal, Québec, Canada; Address correspondence to: François M. Castonguay, PhD; Department of Health Management, Evaluation and Policy, School of Public Health, University of Montreal, 7101 Av du Parc, 3e étage, local 3180, Montréal, Québec H3N 1X9, Canada.National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GeorgiaHealth Economics and Modeling Unit, Division of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GeorgiaHealth Economics and Modeling Unit, Division of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GeorgiaHealth Economics and Modeling Unit, Division of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GeorgiaHealth Economics and Modeling Unit, Division of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GeorgiaHealth Economics and Modeling Unit, Division of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GeorgiaHealth Economics and Modeling Unit, Division of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GeorgiaNational Center for HIV, Viral Hepatitis, STD, and TB Prevention, Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GeorgiaHealth Economics and Modeling Unit, Division of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GeorgiaIntroduction: During the COVID-19 pandemic, the U.S. Centers for Disease Control and Prevention developed a simple spreadsheet-based tool to help state and local public health officials assess the performance and impact of COVID-19 case investigation and contact tracing in their jurisdiction. The applicability and feasibility of building such a tool for sexually transmitted diseases were assessed. Methods: The key epidemiologic differences between sexually transmitted diseases and respiratory diseases (e.g., mixing patterns, incubation period, duration of infection, and the availability of treatment) were identified, and their implications for modeling case investigation and contact tracing impact with a simple spreadsheet tool were remarked on. Existing features of the COVID-19 tool that are applicable for evaluating the impact of case investigation and contact tracing for sexually transmitted diseases were also identified. Results: Our findings offer recommendations for the future development of a spreadsheet-based modeling tool for evaluating the impact of sexually transmitted disease case investigation and contact tracing efforts. Generally, we advocate for simplifying sexually transmitted disease–specific complexities and performing sensitivity analyses to assess uncertainty. The authors also acknowledge that more complex modeling approaches might be required but note that it is possible that a sexually transmitted disease case investigation and contact tracing tool could incorporate features from more complex models while maintaining a user-friendly interface. Conclusions: A sexually transmitted disease case investigation and contact tracing tool could benefit from the incorporation of key features of the COVID-19 model, namely its user-friendly interface. The inherent differences between sexually transmitted diseases and respiratory viruses should not be seen as a limitation to the development of such tool.http://www.sciencedirect.com/science/article/pii/S2773065423000846Sexually transmitted diseasescase investigationcontact tracing and partner notificationcases avertedmodeling |
| spellingShingle | François M. Castonguay, PhD Harrell W. Chesson, PhD Seonghye Jeon, PhD Gabriel Rainisch, MPH Leah S. Fischer, PhD Biswha B. Adhikari, PhD Emily B. Kahn, PhD Bradford Greening, Jr, PhD Thomas L. Gift, PhD Martin I. Meltzer, PhD Building a Simple Model to Assess the Impact of Case Investigation and Contact Tracing for Sexually Transmitted Diseases: Lessons From COVID-19 AJPM Focus Sexually transmitted diseases case investigation contact tracing and partner notification cases averted modeling |
| title | Building a Simple Model to Assess the Impact of Case Investigation and Contact Tracing for Sexually Transmitted Diseases: Lessons From COVID-19 |
| title_full | Building a Simple Model to Assess the Impact of Case Investigation and Contact Tracing for Sexually Transmitted Diseases: Lessons From COVID-19 |
| title_fullStr | Building a Simple Model to Assess the Impact of Case Investigation and Contact Tracing for Sexually Transmitted Diseases: Lessons From COVID-19 |
| title_full_unstemmed | Building a Simple Model to Assess the Impact of Case Investigation and Contact Tracing for Sexually Transmitted Diseases: Lessons From COVID-19 |
| title_short | Building a Simple Model to Assess the Impact of Case Investigation and Contact Tracing for Sexually Transmitted Diseases: Lessons From COVID-19 |
| title_sort | building a simple model to assess the impact of case investigation and contact tracing for sexually transmitted diseases lessons from covid 19 |
| topic | Sexually transmitted diseases case investigation contact tracing and partner notification cases averted modeling |
| url | http://www.sciencedirect.com/science/article/pii/S2773065423000846 |
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