A Systematic Review of the Costs Relating to Non-pharmaceutical Interventions Against Infectious Disease Outbreaks

Skarp, Janetta; Downey, Laura; Ohrnberger, Julius; Cilloni, Lucia; Hogan, Alexandra B.; Sykes, Abagael L.; Wang, Susannah S.; Shah, Hiral; Xiao, M.; Hauck, Katharina

doi:10.1007/s40258-021-00659-z

Cited by 8 publications

(5 citation statements)

References 70 publications

(64 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, NPIs can be both direct and indirect expensive strategies for controlling infectious diseases. Reviewing the research studies containing cost data for NPIs from 1990 to 2020 ( Skarp et al, 2021 ) estimated costs per case for isolation (US$141.18 to US$1042.68), tracing and quarantine (US$40.73 to US$93.99), and social distancing (US$33.76 to US$167.92). Conversely, the implementation of NPIs, such as social distancing and quarantine, has had a negative impact on mental health ( Koch & Park, 2022 ; Venkatesh & Edirappuli, 2020 ), quality of life ( Fink et al, 2022 ) and economic activity ( Thunström et al, 2020 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Non-pharmaceutical interventions and urban vehicle mobility in Seoul during the COVID-19 pandemic

Sung

2022

Cities

View full text Add to dashboard Cite

Section: Literature Reviewmentioning

confidence: 99%

Non-pharmaceutical interventions and urban vehicle mobility in Seoul during the COVID-19 pandemic

Sung

2022

Cities

View full text Add to dashboard Cite

“…1.1 During pandemics, non-pharmaceutical policy interventions can be crucial in slowing the spread of a virus (Aledort et al 2007). While full enforcement of such interventions is a controversial and costly affair (Skarp et al 2021), non-compliance at the local level poses health risks and can lead to regional spread of the disease. Therefore, it is crucial to ex-ante assess the effect of potential policy interventions and the factors influencing compliance with these interventions, especially in public spaces.…”

Section: Introductionmentioning

confidence: 99%

Collecting Data in an Immersive Video Environment to Set up an Agent-Based Model of Pedestrians’ Compliance with COVID-Related Interventions

Karic,

Stenkamp,

Brüggemann

et al. 2024

JASSS

View full text Add to dashboard Cite

Setting up any agent-based model (ABM) requires not only theory to define the agents' behavior, but also suitable methods for calibration, validation, and scenario analysis, which are highly dependent on the available data. When modelling aspects related to the COVID-19 pandemic during the pandemic itself, finding existing data and behavioral rules was rarely possible as conditions were fundamentally different from before and collecting data put people at risk. Here, we present a method to set up and calibrate an ABM using an immersive video environment (IVE). First, we collect data in this reproducible and safe setting. Based on derived behavior, we set up an ABM of pedestrians responding to one-way street signs, installed to stimulate physical distancing. Using bootstrapped regression, we integrate the IVE data into the ABM. Model experiments show that the street signs help to reduce pedestrian densities below critical distance-keeping thresholds, though only when the number of pedestrians is not too high. Our work contributes to the understanding of pedestrian movement dynamics during pandemics. In addition, the proposed data collection and calibration method using the IVE may be applied to other simulation models in which effects of interventions in the physical environment are modelled.

show abstract

“…Although adapting CT strategies according to the local epidemiological situation and available resources has been emphasized [1,[12][13][14], little evidence is available on the actual implementation of CT activities in real-world settings. In fact, most published studies on CT for COVID-19 have focused on the combination of traditional CT and digital technologies and on cost-effectiveness, ethical concerns, and governance issues related to the use of digital tools [15][16][17][18][19][20]. Several studies, including systematic reviews, were aimed at estimating the effectiveness of CT strategies for SARS-CoV-2 control, but they mainly relied on modeling techniques [15,21], given the difficulties in measuring real-world effectiveness [22].…”

Section: Introductionmentioning

confidence: 99%

COVID-19 Contact Tracing Strategies During the First Wave of the Pandemic: Systematic Review of Published Studies

Amicosante¹,

Rosso²,

Bernardini³

et al. 2023

JMIR Public Health Surveill

View full text Add to dashboard Cite

Background Contact tracing (CT) represented one of the core activities for the prevention and control of COVID-19 in the early phase of the pandemic. Several guidance documents were developed by international public health agencies and national authorities on the organization of COVID-19 CT activities. While most research on CT focused on the use digital tools or relied on modelling techniques to estimate the efficacy of interventions, poor evidence is available on the real-world implementation of CT strategies and on the organizational models adopted during the initial phase of the emergency to set up CT activities. Objective We aimed to provide a comprehensive picture of the organizational aspects of CT activities during the first wave of the pandemic through the systematic identification and description of CT strategies used in different settings during the period from March to June 2020. Methods A systematic review of published studies describing organizational models of COVID-19 CT strategies developed in real-world settings was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. PubMed, Embase, and Cochrane Library were searched. Studies not providing a description of the organizational aspects of CT strategies and studies reporting or modelling theoretical strategies or focusing on the description of digital technologies’ properties were excluded. Quality of reporting was assessed by using the Template for Intervention Description and Replication Checklist for Population Health and Policy. We developed a narrative synthesis, using a conceptual framework to map the extracted studies broken down by target population. Results We retrieved a total of 1638 studies, of which 17 were included in the narrative synthesis; 7 studies targeted the general population and 10 studies described CT activities carried out in specific population subgroups. Our review identified some common elements across studies used to develop CT activities, including decentralization of CT activities, involvement of trained nonpublic health resources (eg, university students or civil servants), use of informatics tools for CT management, interagency collaboration, and community engagement. CT strategies implemented in the workplace envisaged a strong collaboration with occupational health services. Outreach activities were shown to increase CT efficiency in susceptible groups, such as people experiencing homelessness. Data on the effectiveness of CT strategies are scarce, with only few studies reporting on key performance indicators. Conclusions Despite the lack of systematically collected data on CT effectiveness, our findings can provide some indication for the future planning and development of CT strategies for infectious disease control, mainly in terms of coordination mechanisms and the use of human and technical resources needed for the rapid development of CT activities. Further research on the organizational models of CT strategies during the COVID-19 pandemic would be required to contribute to a more robust evidence-making process.

show abstract

A Systematic Review of the Costs Relating to Non-pharmaceutical Interventions Against Infectious Disease Outbreaks

Cited by 8 publications

References 70 publications

Non-pharmaceutical interventions and urban vehicle mobility in Seoul during the COVID-19 pandemic

Non-pharmaceutical interventions and urban vehicle mobility in Seoul during the COVID-19 pandemic

Collecting Data in an Immersive Video Environment to Set up an Agent-Based Model of Pedestrians’ Compliance with COVID-Related Interventions

COVID-19 Contact Tracing Strategies During the First Wave of the Pandemic: Systematic Review of Published Studies

Contact Info

Product

Resources

About