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Koiso S, Gulbas E, Dike L, Mulroy NM, Ciaranello AL, Freedberg KA, Jalali MS, Walker AT, Ryan ET, LaRocque RC, Hyle EP. Modeling approaches to inform travel-related policies for COVID-19 containment: A scoping review and future directions. Travel Med Infect Dis 2024; 62:102730. [PMID: 38830442 PMCID: PMC11606784 DOI: 10.1016/j.tmaid.2024.102730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 05/22/2024] [Accepted: 05/28/2024] [Indexed: 06/05/2024]
Abstract
BACKGROUND Travel-related strategies to reduce the spread of COVID-19 evolved rapidly in response to changes in the understanding of SARS-CoV-2 and newly available tools for prevention, diagnosis, and treatment. Modeling is an important methodology to investigate the range of outcomes that could occur from different disease containment strategies. METHODS We examined 43 articles published from December 2019 through September 2022 that used modeling to evaluate travel-related COVID-19 containment strategies. We extracted and synthesized data regarding study objectives, methods, outcomes, populations, settings, strategies, and costs. We used a standardized approach to evaluate each analysis according to 26 criteria for modeling quality and rigor. RESULTS The most frequent approaches included compartmental modeling to examine quarantine, isolation, or testing. Early in the pandemic, the goal was to prevent travel-related COVID-19 cases with a focus on individual-level outcomes and assessing strategies such as travel restrictions, quarantine without testing, social distancing, and on-arrival PCR testing. After the development of diagnostic tests and vaccines, modeling studies projected population-level outcomes and investigated these tools to limit COVID-19 spread. Very few published studies included rapid antigen screening strategies, costs, explicit model calibration, or critical evaluation of the modeling approaches. CONCLUSION Future modeling analyses should leverage open-source data, improve the transparency of modeling methods, incorporate newly available prevention, diagnostics, and treatments, and include costs and cost-effectiveness so that modeling analyses can be informative to address future SARS-CoV-2 variants of concern and other emerging infectious diseases (e.g., mpox and Ebola) for travel-related health policies.
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Affiliation(s)
- Satoshi Koiso
- Medical Practice Evaluation Center, Massachusetts General Hospital, 100 Cambridge St., 16th Floor, Boston, MA, USA.
| | - Eren Gulbas
- Medical Practice Evaluation Center, Massachusetts General Hospital, 100 Cambridge St., 16th Floor, Boston, MA, USA
| | - Lotanna Dike
- Medical Practice Evaluation Center, Massachusetts General Hospital, 100 Cambridge St., 16th Floor, Boston, MA, USA
| | - Nora M Mulroy
- Medical Practice Evaluation Center, Massachusetts General Hospital, 100 Cambridge St., 16th Floor, Boston, MA, USA
| | - Andrea L Ciaranello
- Medical Practice Evaluation Center, Massachusetts General Hospital, 100 Cambridge St., 16th Floor, Boston, MA, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA, USA; Division of Infectious Diseases, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, USA
| | - Kenneth A Freedberg
- Medical Practice Evaluation Center, Massachusetts General Hospital, 100 Cambridge St., 16th Floor, Boston, MA, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA, USA; Division of Infectious Diseases, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, USA; Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, USA
| | - Mohammad S Jalali
- Harvard Medical School, 25 Shattuck Street, Boston, MA, USA; Institute for Technology Assessment, Massachusetts General Hospital, 101 Merrimac St., Suite, 1010, Boston, MA, USA
| | - Allison T Walker
- Division of Global Migration Health, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, USA
| | - Edward T Ryan
- Harvard Medical School, 25 Shattuck Street, Boston, MA, USA; Division of Infectious Diseases, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, USA; Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, USA; Travelers' Advice and Immunization Center, Massachusetts General Hospital, Cox Building, 5th Floor, 55 Fruit Street, Boston, MA, USA
| | - Regina C LaRocque
- Harvard Medical School, 25 Shattuck Street, Boston, MA, USA; Division of Infectious Diseases, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, USA; Travelers' Advice and Immunization Center, Massachusetts General Hospital, Cox Building, 5th Floor, 55 Fruit Street, Boston, MA, USA
| | - Emily P Hyle
- Medical Practice Evaluation Center, Massachusetts General Hospital, 100 Cambridge St., 16th Floor, Boston, MA, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA, USA; Division of Infectious Diseases, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, USA; Travelers' Advice and Immunization Center, Massachusetts General Hospital, Cox Building, 5th Floor, 55 Fruit Street, Boston, MA, USA.
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Jongdeepaisal M, Chunekamrai P, Maude RR, Maude RJ. Risks and challenges in COVID-19 infection prevention and control in a hospital setting: Perspectives of healthcare workers in Thailand. PLoS One 2023; 18:e0267996. [PMID: 38113209 PMCID: PMC10729973 DOI: 10.1371/journal.pone.0267996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 10/16/2023] [Indexed: 12/21/2023] Open
Abstract
INTRODUCTION In hospital settings, awareness of, and responsiveness to, COVID-19 are crucial to reducing the risk of transmission among healthcare workers and protecting them from infection. Healthcare professionals can offer insights into the practicalities of infection prevention and control (IPC) measures and on how the guideline aimed to ensure adherence to IPC, including use of personal protective equipment (PPE), could best be delivered during the pandemic. To inform future development of such guideline, this study examined the perspectives of healthcare professionals working in a large hospital during the pandemic regarding their infection risks, the barriers or facilitators to implementing their tasks and the IPC measures to protect their safety and health and of their patients. METHOD In-depth interviews were conducted with 23 hospital staff coming into contact with possible or confirmed cases of COVID-19, or were at potential risk of contracting the disease, including medical doctors, nurses, virology laboratory staff, and non-medical workers. This qualitative study was carried out as part of a knowledge, attitudes and practice survey to prevent COVID-19 transmission at Ramathibodi Hospital in Thailand. We used content analysis to categorize and code transcribed interview data. Existing IPC guideline and evidence synthesis of organisational, environmental, and individual factors to IPC adherence among healthcare workers were used to guide the development of the interview questions and analysis. FINDING Factors identified as influencing the use of, and adherence to, prevention measures among healthcare workers included knowledge, perceived risk and concerns about the infection. The extent to which these factors were influential varied based on the medical procedures, among other features, that individuals were assigned to perform in the hospital setting. Beyond availability of PPE and physical safety, ease of and readiness to utilize the equipment and implement IPC measures were crucial to motivate hospital staff to follow the practice guideline. Having a ventilated outdoor space for screening and testing, and interaction through mobile technology, facilitated the performance of healthcare workers while reducing the transmission risk for staff and patients. Adequate training, demonstration of guided practices, and streamlined communications are crucial organisational and management support factors to encourage appropriate use of, and adherence to, implementation of infection prevention and control measures among healthcare workers. CONCLUSION This finding could help inform the development of recommendations to optimise compliance with appropriate use of these measures, and to improve guidance to reduce HCW's risk of disease in hospital settings. Further study should explore the perceptions and experiences of health professionals in smaller health facilities and community-based workers during the pandemic, particularly in resource-limited settings.
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Affiliation(s)
- Monnaphat Jongdeepaisal
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Puri Chunekamrai
- Faculty of Medicine, Srinakharinwirot University, Nakhonnayok, Thailand
- Faculty of Medicine and Health Science, University of Nottingham, Nottingham, United Kingdom
| | - Rapeephan Rattanawongnara Maude
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Richard James Maude
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Harvard TH Chan School of Public Health, Harvard University, Boston, MA, United States of America
- The Open University, Milton Keynes, United Kingdom
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Tavakkoli M, Karim A, Fischer FB, Monzon Llamas L, Raoofi A, Zafar S, Sant Fruchtman C, de Savigny D, Takian A, Antillon M, Cobos Muñoz D. From Public Health Policy to Impact for COVID-19: A Multi-Country Case Study in Switzerland, Spain, Iran and Pakistan. Int J Public Health 2022; 67:1604969. [PMID: 36119450 PMCID: PMC9472296 DOI: 10.3389/ijph.2022.1604969] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 07/22/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives: With the application of a systems thinking lens, we aimed to assess the national COVID-19 response across health systems components in Switzerland, Spain, Iran, and Pakistan. Methods: We conducted four case studies on the policy response of national health systems to the early phase of the COVID-19 pandemic. Selected countries include different health system typologies. We collected data prospectively for the period of January-July 2020 on 17 measures of the COVID-19 response recommended by the WHO that encompassed all health systems domains (governance, financing, health workforce, information, medicine and technology and service delivery). We further monitored contextual factors influencing their adoption or deployment. Results: The policies enacted coincided with a decrease in the COVID-19 transmission. However, there was inadequate communication and a perception that the measures were adverse to the economy, weakening political support for their continuation and leading to a rapid resurgence in transmission. Conclusion: Social pressure, religious beliefs, governance structure and level of administrative decentralization or global economic sanctions played a major role in how countries' health systems could respond to the pandemic.
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Affiliation(s)
- Maryam Tavakkoli
- Department of Public Health and Epidemiology, Swiss Tropical and Public Health Institute (Swiss TPH), Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Aliya Karim
- Department of Public Health and Epidemiology, Swiss Tropical and Public Health Institute (Swiss TPH), Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Fabienne Beatrice Fischer
- Department of Public Health and Epidemiology, Swiss Tropical and Public Health Institute (Swiss TPH), Basel, Switzerland
- University of Basel, Basel, Switzerland
| | | | - Azam Raoofi
- Department of Health Management, Policy & Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Health Equity Research Centre, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Carmen Sant Fruchtman
- Department of Public Health and Epidemiology, Swiss Tropical and Public Health Institute (Swiss TPH), Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Don de Savigny
- Department of Public Health and Epidemiology, Swiss Tropical and Public Health Institute (Swiss TPH), Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Amirhossein Takian
- Health Equity Research Centre, Tehran University of Medical Sciences, Tehran, Iran
- Department of Global Health & Public Policy, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Marina Antillon
- Department of Public Health and Epidemiology, Swiss Tropical and Public Health Institute (Swiss TPH), Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Daniel Cobos Muñoz
- Department of Public Health and Epidemiology, Swiss Tropical and Public Health Institute (Swiss TPH), Basel, Switzerland
- University of Basel, Basel, Switzerland
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