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The Effects of Intervention Strategies for COVID-19 Transmission Control on Campus Activity

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Big Data and Social Computing (BDSC 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1640))

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Abstract

University is one of the most likely environments for the cluster infection due to the long-time close contact in house and frequent communication. It is critical to understand the transmission risk of COVID-19 under various scenario, especially during public health emergency. Taking the Tsinghua university’s anniversary as a representative case, a set of prevention and control strategies are established and investigated. In the case study, an alumni group coming from out of campus is investigated whose activities and routes are designed based on the previous anniversary schedule. The social closeness indicator is introduced into the Wells-Riley model to consider the factor of contact frequency. Based on the anniversary scenario, this study predicts the number of the infected people in each exposure indoor location (including classroom, dining hall, meeting room and so on) and evaluates the effects of different intervention measures on reducing infection risk using the modified Wells-Riley model, such as ventilation, social distancing and wearing mask. The results demonstrate that when applying the intervention measure individually, increasing ventilation rate is found to be the most effective, whereas the efficiency of increased ventilation on reducing infection cases decreases with the increase of the ventilation rate. To better prevent COVID-19 transmission, the combined intervention measures are necessary to be taken, which show the similar effectiveness on the reduction of infected cases under different initial infector proportion. The results provide the insights into the infection risk on university campus when dealing with public health emergency and can guide university to formulate effective operational strategies to control the spread of COVID-19.

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References

  1. Jahan, Y., Rahman, A.: COVID-19: Challenges and viewpoints from low-and-middle- income asian countries perspectives. J. Saf. Sci. Resil. 1 (2), 70–72 (2020)

    Google Scholar 

  2. Cucinotta, D., Vanelli, M.: WHO declares COVID-19 a pandemic. Acta bio-medica: Atenei Parmensis 91(1), 157–160 (2020)

    Google Scholar 

  3. Ronchi, E., Lovreglio, R.: EXPOSED: An occupant exposure model for confined spaces to retrofit crowd models during a pandemic. Safety Sci. 130, 104834 (2020)

    Article  Google Scholar 

  4. Dong, B., Yan, D., Li, Z., et al.: Modeling occupancy and behavior for better building design and operation-A critical review. Build. Simul. 11, 899–921 (2018)

    Article  Google Scholar 

  5. D’Orazio, M., Bernardini, G., Quagliarini, E.: A probabilistic model to evaluate the effectiveness of main solutions to COVID-19 spreading in university buildings according to proximity and time-based consolidated criteria. Build. Simul. 14(6), 1795–1809 (2021). https://doi.org/10.1007/s12273-021-0770-2

    Article  Google Scholar 

  6. Anderson, R.M., Heesterbeek, H., Klinkenberg, D., et al.: How will country-based mitigation measures influence the course of the COVID-19 epidemic? Lancet 395(10228), 931–934 (2020)

    Article  Google Scholar 

  7. Bruinen de Bruin Y, Lequarre A-S, McCourt J, et al.: Initial impacts of global risk mitigation measures taken during the combatting of the COVID-19 pandemic. Safety Sci. 128, 104773 (2020)

    Google Scholar 

  8. Yang, Y., Peng, F., Wang, R., et al.: The deadly coronaviruses: The 2003 SARS pandemic and the 2020 novel coronavirus epidemic in China. J. Autoimmun. 109, 102434 (2020)

    Article  Google Scholar 

  9. Huan, X., Gang, Z., Peng, Z.: HVAC design for campus buildings. Heating Ventilating & Air Conditioning 36(1), 8 (2006)

    Google Scholar 

  10. Li, J., Cheng, Z., Zhang, Y., et al.: Evaluation of infection risk for SARS-CoV-2 transmission on university campuses. Sci. Technol. Built. En. 27, 1165–1180 (2021)

    Article  Google Scholar 

  11. NHC. 2020. COVID-19 Diagnosis and Treatment Plan (Trial Eighth Edition), http://www.nhc.gov.cn/yzygj/s7653p/202008/0a7bdf12bd4b46e5bd28ca7f9a7f5e5a.shtml

  12. CDC (2020a). Centers for disease control - “How COVD-19 spreads, https://www.cdc.gov/oronavirus/209-110ncov/prevent-getting-sick/how-covid-spreads

  13. Shinohara, N., Sakaguchi, J., Kim, H., et al.: Survey of air exchange rates and evaluation of airborne infection risk of COVID-19 on commuter trains. Environ. Int. 157, 106774 (2021)

    Article  Google Scholar 

  14. Wells, W.: On air-borne infection: study II droplets and droplet nuclei. Am. J. Epidemiol. 20(3), 611–618 (1934)

    Article  Google Scholar 

  15. Xie, X., Li, Y., Chwang, A., Ho, P., et al.: How far droplets can move in indoor environments – revisiting the Wells evaporation–falling curve. Indoor Air 17, 211–225 (2007)

    Article  Google Scholar 

  16. WHO. Director-General’s opening remarks at the media briefing on COVID-19 - March 11, 2020. World Health Organization, Geneva

    Google Scholar 

  17. WHO, 2021. Coronavirus Disease (COVID-19) Dashboard; World Health Organization, Geneva. https://covid19.who.int/ (accessed 28 March 2022)

  18. To, G., Chao, C.: Review and comparison between the Wells-Riley and dose-response approaches to risk assessment of infectious respiratory diseases. Indoor Air 10, 2–16 (2020)

    Google Scholar 

  19. Qian H, Zheng X.: Ventilation control for airborne transmission of human exhaled bio-aerosols in buildings. J. Thorac Dis. 10 (2018)

    Google Scholar 

  20. Ai, Z., Melikov, A.: Airborne spread of expiratory droplet nuclei between the occupants of indoor environments: a review. Indoor Air 28(4), 500–524 (2018)

    Article  Google Scholar 

  21. Zhang, S., Lin, Z.: Dilution-based evaluation of airborne infection risk - Thorough expansion of Wells-Riley model. Build. Environ. 194, 107674 (2021)

    Article  Google Scholar 

  22. W.F. Wells.: Airborne Contagion and Air Hygiene: an Ecological Study of Droplet Infection.Harvard University Press, Cambridge, MA, 1955

    Google Scholar 

  23. Li, C., Tang, H.: Study on ventilation rates and assessment of infection risks of COVID-19 in an outpatient building. J. Build. Eng. 42, 103090 (2021)

    Article  Google Scholar 

  24. Yan, Y., Li, C., Shang, Y., et al.: Evaluation of airborne disease infection risks in an airliner cabin using the Lagrangian-based Wells-Riley approach. Build. Environ. 121, 79–92 (2017)

    Article  Google Scholar 

  25. You, R., Lin, C., Wei, D., et al.: Evaluating the commercial airliner cabin environment with different air distribution systems. Indoor Air 29, 840–853 (2019)

    Article  Google Scholar 

  26. Qian, H., Li, Y., Nielsen, P., et al.: Spatial distribution of infection risk of SARS transmission in a hospital ward. Build. Environ. 44, 1651–1658 (2009)

    Article  Google Scholar 

  27. Dai, H., Zhao, B.: Association of the infection probability of COVID-19 with ventilation rates in confined spaces. Build. Simul. 13(6), 1321–1327 (2020). https://doi.org/10.1007/s12273-020-0703-5

    Article  Google Scholar 

  28. Sun, C., Zhai, Z.: The efficacy of social distance and ventilation effectiveness in preventing COVID-19 transmission. Sustain. Cities Soc. 62, 102390 (2020)

    Article  Google Scholar 

  29. Xu Y, CAI J, Li S, et al.: Airborne infection risks of SARS-CoV-2 in U.S. schools and impacts of different intervention strategies. Sustain. Cities Soc. 74, 103188 (2021)

    Google Scholar 

  30. Shen, J., Kong, M., Dong, B., et al.: A systematic approach to estimating the effectiveness of multi-scale IAQ strategies for reducing the risk of airborne infection of SARS-CoV-2. Build. Environ. 200, 107926 (2021)

    Article  Google Scholar 

  31. Kou, L., Wang, X., Li, Y., et al.: A multi-scale agent-based model of infectious disease transmission to assess the impact of vaccination and non-pharmaceutical interventions: The COVID-19 case. J. Saf. Sci. Resil. 2, 199–207 (2021)

    Google Scholar 

  32. Niu, Y., Li, Z., Meng, L., et al.: The collaboration between infectious disease modeling and public health decision-making based on the COVID-19. J. Saf. Sci. Resil. 2, 69–76 (2021)

    Google Scholar 

  33. Srivastavaa, S., Zhao, X., Manay, A., Chen, Q.: Effective ventilation and air disinfection system for reducing coronavirus disease 2019 (COVID-19) infection risk in office buildings. Sustain. Cities Soc. 75, 103408 (2021)

    Article  Google Scholar 

  34. Davies, A., Thompson, K.A., Giri, K., Kafatos, G., Walker, J., Bennett, A.: Testing the efficacy of homemade masks: would they protect in an influenza pandemic? Disaster Med. Public. 7, 413–418 (2013)

    Article  Google Scholar 

  35. Zhou, B., Pei, S., Muchnik, L., et al.: Realistic modelling of information spread using peer-to-peer diffusion patterns. Nat. Hum. Behav. 4, 1198–1207 (2020)

    Article  Google Scholar 

  36. EPA. (2011). Exposure factors handbook 2011 (Edition). Final Report

    Google Scholar 

  37. Park, S., Choi, Y., Song, D., Kim, E.: Natural ventilation Measure and related issues to prevent coronavirus disease 2019 (COVID-19) airborne transmission in a school building. Sci. Total Environ. 789, 147764 (2021)

    Article  Google Scholar 

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Acknowledgments

This work is supported by National Key R&D Program of China (No. 2021ZD0111200), National Natural Science Foundation of China (Grant No. 72174099, 72004113, 72104123), High-tech Discipline Construction Fundings for Universities in Beijing (Safety Science and Engineering).

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Authors and Affiliations

  1. Department of Engineering Physics, Tsinghua University, Beijing, 100084, China

    Yina Yao, Hui Zhang, Rui Yang & Lida Huang

  2. School of Civil and Resource Engineering, University of Science and Technology, Beijing, Beijing, 100083, China

    Qing Deng

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  1. Yina Yao
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  2. Hui Zhang
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  3. Rui Yang
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  4. Lida Huang
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  5. Qing Deng
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Corresponding author

Correspondence to Yina Yao .

Editor information

Editors and Affiliations

  1. Renmin University of China, Beijing, China

    Xiaofeng Meng

  2. Zhejiang University of Technology, Hangzhou, China

    Qi Xuan

  3. Zhejiang University, Hangzhou, China

    Yang Yang

  4. Shenzhen University, Shenzhen, China

    Yang Yue

  5. Hangzhou Normal University, Hangzhou, China

    Zi-Ke Zhang

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Yao, Y., Zhang, H., Yang, R., Huang, L., Deng, Q. (2022). The Effects of Intervention Strategies for COVID-19 Transmission Control on Campus Activity. In: Meng, X., Xuan, Q., Yang, Y., Yue, Y., Zhang, ZK. (eds) Big Data and Social Computing. BDSC 2022. Communications in Computer and Information Science, vol 1640. Springer, Singapore. https://doi.org/10.1007/978-981-19-7532-5_2

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  • DOI: https://doi.org/10.1007/978-981-19-7532-5_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-7531-8

  • Online ISBN: 978-981-19-7532-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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