COVID-19 Drive-Through Point of Screening and Testing (POST) System: A Safe, Efficient, and Adaptable Model for Nasopharyngeal Swab Collection

Evans, Lauran; Shinagawa, Austin; Sutton, Sarah; Calvo, L.

doi:10.1017/dmp.2020.313

Cited by 9 publications

(17 citation statements)

References 13 publications

(28 reference statements)

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“…[ 7,8 ] Due to the scale of the COVID‐19 epidemic, an additional burden has been placed on traditional testing sites, such as hospitals, emergency rooms, and walk‐in clinics, thereby challenging their safety. [ 9–11 ]…”

Section: Introductionmentioning

confidence: 99%

High‐Resolution Agent‐Based Modeling of COVID‐19 Spreading in a Small Town

Truszkowska

Behring

Hasanyan

et al. 2021

Advcd Theory and Sims

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Amid the ongoing COVID‐19 pandemic, public health authorities and the general population are striving to achieve a balance between safety and normalcy. Ever changing conditions call for the development of theory and simulation tools to finely describe multiple strata of society while supporting the evaluation of “what‐if” scenarios. Particularly important is to assess the effectiveness of potential testing approaches and vaccination strategies. Here, an agent‐based modeling platform is proposed to simulate the spreading of COVID‐19 in small towns and cities, with a single‐individual resolution. The platform is validated on real data from New Rochelle, NY—one of the first outbreaks registered in the United States. Supported by expert knowledge and informed by reported data, the model incorporates detailed elements of the spreading within a statistically realistic population. Along with pertinent functionality such as testing, treatment, and vaccination options, the model accounts for the burden of other illnesses with symptoms similar to COVID‐19. Unique to the model is the possibility to explore different testing approaches—in hospitals or drive‐through facilities—and vaccination strategies that could prioritize vulnerable groups. Decision‐making by public authorities could benefit from the model, for its fine‐grain resolution, open‐source nature, and wide range of features.

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Section: Introductionmentioning

confidence: 99%

High‐Resolution Agent‐Based Modeling of COVID‐19 Spreading in a Small Town

Truszkowska

Behring

Hasanyan

et al. 2021

Advcd Theory and Sims

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show abstract

“…In Korea, a Drive-through center reported a total testing time of 10 minutes 8,9 . In contrast, in the US, Evans L. et al reported a testing time of up to 15 minutes 13 . CoVIDA Drive/Walk-through testing centers achieved similar performance but handled a greater number of tests per day, less sampling lines and with a scheduling spam of ten minutes.…”

Section: Discussionmentioning

confidence: 97%

“…In Latin America, there is no report of such a prolonged testing strategy. Also, in the region, other experiences have been carried out for up to ten weeks 12,13 . 7 .…”

Section: Discussionmentioning

confidence: 99%

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SARS-CoV-2 Drive/Walk-Thru screening centers in Colombia: The CoVIDA project

Ramirez-Varela

Behrentz

Tamayo-Cabeza

et al. 2021

Infect

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Objective:The CoVIDA project is a public-private collaboration led by Universidad de los Andes that contributed to the SARS-CoV-2 epidemiological surveillance in Bogotá and nearby municipalities. We aimed to describe the development and performance of the Drive/Walk-through free RT-PCR for SARS-CoV-2 testing strategy implemented by CoVIDA. Material and method: We performed a descriptive analysis of the characteristics and performance of the CoVIDA Drive/Walk-through testing centers. The model and the process indicators to assess the model's performance were based on international experiences and scientific literature. Two screening centers were implemented in shopping centers in the north and south of Bogotá. We reported the number of tests taken, the number of positive tests, and the number of participants that used the model by the type of occupations. Results: In total, 36,689 nasopharyngeal RT-PCR tests for SARS-CoV-2 were performed with a 5.75% cumulative positivity. Process indicators showed an excellent performance and an important contribution in reducing barriers to access to testing. Conclusions: the CoVIDA Drive/Walk-through testing centers supported the epidemiological surveillance in asymptomatic or mild-symptomatic population in Bogotá. Low and middle-income countries can use this model as a cost-effective and innovative solution strategy to intensify testing and help mitigate the pandemic.

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“…However, the scale of the COVID-19 outbreak and its typical clinical symptoms (fever, dry cough, myalgia and pneumonia) are strikingly similar to those of influenza [ 10 ].This will place a great burden on the medical resources for testing, and the additional burden on traditional testing sites (hospitals, emergency rooms, etc.) poses a great challenge to the safety of these sites [ 11 , 12 , 13 ]. The development and analysis of mathematical models play an important role in the control and prevention of disease transmission.…”

Section: Introductionmentioning

confidence: 99%

Agent Simulation Model of COVID-19 Epidemic Agent-Based on GIS: A Case Study of Huangpu District, Shanghai

Dong

2022

IJERPH

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Since the COVID-19 outbreak was detected and reported at the end of 2019, the pandemic continues worldwide, with public health authorities and the general public in each country struggling to balance safety and normal travel activities. However, the complex public health environment and the complexity of human behaviors, as well as the constant mutation of the COVID-19 virus, requires the development of theoretical and simulation tools to accurately model all segments of society. In this paper, an agent-based model is proposed, the model constructs the real geographical environment of Shanghai Huangpu District based on the building statistics data of Shanghai Huangpu District, and the real population data of Shanghai Huangpu District based on the data of China’s seventh Population census in 2020. After incorporating the detailed elements of COVID-19 transmission and the real data of WHO, the model forms various impact parameters. Finally, the model was validated according to the COVID-19 data reported by the official, and the model is applied to a hypothetical scenario. Shanghai is one of the places hardest hit by the current outbreak, Huangpu District is the “heart, window and name card” of Shanghai, and its importance to Shanghai is self-evident. so we used one-to-one population modeling to simulate the spread of COVID-19 in Huangpu District of Shanghai, In addition to the conventional functions of crowd movement, detection and treatment, the model also takes into account the burden of nucleic acid detection on the model caused by diseases similar to COVID-19, such as seasonal cold. The model validation results show that we have constructed a COVID-19 epidemic agent risk assessment system suitable for the individual epidemiological characteristics of COVID-19 in China, which can adjust and reflect on the existing COVID-19 epidemic intervention strategies and individual health behaviors. To provide scientific theoretical basis and information decision-making tools for effective prevention and control of COVID-19 and public health intervention in China.

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COVID-19 Drive-Through Point of Screening and Testing (POST) System: A Safe, Efficient, and Adaptable Model for Nasopharyngeal Swab Collection

Cited by 9 publications

References 13 publications

High‐Resolution Agent‐Based Modeling of COVID‐19 Spreading in a Small Town

High‐Resolution Agent‐Based Modeling of COVID‐19 Spreading in a Small Town

SARS-CoV-2 Drive/Walk-Thru screening centers in Colombia: The CoVIDA project

Agent Simulation Model of COVID-19 Epidemic Agent-Based on GIS: A Case Study of Huangpu District, Shanghai

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