本研究藉由複迴歸及ARMA探討醫院篩檢方式對個人防護裝備(PPE)需求影響之因素，資料來源分別採用衛生福利部疾病管制署COVID-19疫苗接種統計資料和A教學醫院篩檢資料。實證結果發現，戶外篩檢對醫院PPE需求有正向影響，表示隨著疫情變化，戶外篩檢人數的增加會提升醫院PPE的需求，以降低病毒傳播風險。陽性、疫苗接種人數對醫院PPE需求有負向影響，表示隨著陽性人數和疫苗接種人數增加，醫院PPE需求會下降。隨著時間推移，大眾對COVID-19態度隨著台灣政府政策變化而轉為開放；疫苗的普及提升群體免疫，降低陽性中重症比例，醫院對PPE需求下降。另外，在ARMA預測方面，以手套趨勢最為明顯。

This research examines the impacts of hospital screening methods on the demand for Personal Protective Equipment (PPE) using a multiple regression model and Auto-regression and Moving Average (ARMA) analysis. Data on the COVID-19 vaccination statistics are from the Centers for Disease Control and Prevention under the Ministry of Health and Welfare, R.O.C., and one case study of Hospital A in Taipei City.
The empirical findings first reveal that outdoor screening positively influences the hospital's PPE demand, indicating that an increase in outdoor screening corresponds to higher PPE requirements for reducing the risk of virus transmission. Conversely, the number of positive cases and vaccinated individuals have a negative impact on the hospital's PPE demand. In other words, an increase in positive cases and vaccinations leads to a decrease in PPE demand. The public's attitude towards COVID-19 shifts to a more open approach along with the government’s policies over time. The widespread vaccination indeed enhances herd immunity and leads to a reduction in severe positive cases, but a decreased demand for hospital PPE. Finally, ARMA forecasting only highlights a notable trend in gloves rather than masks and protective clothing.

As' ad, M. (2012). Finding the best ARIMA model to forecast daily peak electricity demand.

Ariyo, A. A., Adewumi, A. O., & Ayo, C. K. (2014, March). Stock price prediction using the ARIMA model. In 2014 UKSim-AMSS 16th international conference on Computer Modeling and Simulation (pp. 106-112). IEEE.

Arwady, M. A., Alraddadi, B., Basler, C., Azhar, E. I., Abuelzein, E., Sindy, A. I., ... & Madani, T. A. (2016). Middle East respiratory syndrome coronavirus transmission in extended family, Saudi Arabia, 2014. Emerging infectious diseases, 22(8), 1395.

Assiri, A., McGeer, A., Perl, T. M., Price, C. S., Al Rabeeah, A. A., Cummings, D. A., ... & Memish, Z. A. (2013). Hospital outbreak of Middle East respiratory syndrome coronavirus. New England Journal of Medicine, 369(5), 407-416.

Booth, C. M., Matukas, L. M., Tomlinson, G. A., Rachlis, A. R., Rose, D. B., Dwosh, H. A., ... & Detsky, A. S. (2003). Clinical features and short-term outcomes of 144 patients with SARS in the greater Toronto area. Jama, 289(21), 2801-2809.

Barrett, K., Nakamachi, Y., Ierasts, T., Khan, Y. A., Mac, S., Naimark, D., ... & Sander, B. (2022, February). Forecasting Demand for Personal Protective Equipment for Ontario Acute Care Hospitals During the First Wave of the COVID-19 Pandemic. In Mathematics of Public Health: Proceedings of the Seminar on the Mathematical Modelling of COVID-19 (pp. 213-233). Cham: Springer International Publishing.

Box George, E. P., Jenkins Gwilym, M., Reinsel Gregory, C., & Ljung Greta, M. (1976). Time series analysis: forecasting and control. San Francisco: Holden Bay.

Cohen, J., & Rodgers, Y. V. D. M. (2020). Contributing factors to personal protective equipment shortages during the COVID-19 pandemic. Preventive Medicine, 141, 106263. https://doi.org/10.1016/j.ypmed.2020.106263

Chaurasia, V., & Pal, S. (2020). COVID-19 pandemic: ARIMA and regression model-based worldwide death cases predictions. SN Computer Science, 1(5), 288.

Contreras, J., Espinola, R., Nogales, F. J., & Conejo, A. J. (2003). ARIMA models to predict next-day electricity prices. IEEE transactions on power systems, 18(3), 1014-1020.

Chakraborty, T., & Ghosh, I. (2020). Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis. Chaos, Solitons & Fractals, 135, 109850.

Dormann, C. F., Elith, J., Bacher, S., Buchmann, C., Carl, G., Carré, G., ... & Lautenbach, S. (2013). Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography, 36(1), 27-46.

Edler, A. A. (2006). Avian flu (H5N1): its epidemiology, prevention, and implications for anesthesiology. Journal of clinical anesthesia, 18(1), 1-4.

Flynn, S. 2020. INDUSTRY NEWS: Amid Coronavirus Fears,
a Mask Shortage Could Spread Globally. Urgent Care Association. 24 March. https://www.ucaoa.org/About-UCA/Industry-News/ArtMID/10309/ArticleID/1448/INDUSTRYNEWS-
Amid-Coronavirus-Fears-a-Mask-Shortage-Could-Spread-Globally.

Fattah, J., Ezzine, L., Aman, Z., El Moussami, H., & Lachhab, A. (2018). Forecasting of demand using the ARIMA model. International Journal of Engineering Business Management, 10, 1847979018808673.

Furman, E., Cressman, A., Shin, S., Kuznetsov, A., Razak, F., Verma, A., & Diamant, A. (2021). Prediction of personal protective equipment use in hospitals during COVID-19. Health Care Management Science, 24, 439-453.

Fischer II, W. A., Weber, D. J., & Wohl, D. A. (2015). Personal protective equipment: protecting health care providers in an Ebola outbreak. Clinical therapeutics, 37(11), 2402-2410.

Ge, X. Y., Li, J. L., Yang, X. L., Chmura, A. A., Zhu, G., Epstein, J. H., ... & Shi, Z. L. (2013). Isolation and characterization of a bat SARS-like coronavirus that uses the ACE2 receptor. Nature, 503(7477), 535-538.
Hersi, M., Stevens, A., Quach, P., Hamel, C., Thavorn, K., Garritty, C., ... & Moher, D. (2015). Effectiveness of personal protective equipment for healthcare workers caring for patients with filovirus disease: a rapid review. PloS one, 10(10), e0140290.

Honda, H., & Iwata, K. (2016). Personal protective equipment and improving compliance among healthcare workers in high-risk settings. Current opinion in infectious diseases, 29(4), 400-406.

Huang, L. H., Chen, C. M., Chen, S. F., & Wang, H. H. (2020). Roles of nurses and National Nurses Associations in combating COVID‐19: Taiwan experience. International nursing review, 67(3), 318-322.

Hastie, T., Tibshirani, R., Friedman, J. H., & Friedman, J. H. (2009). The elements of statistical learning: data mining, inference, and prediction (Vol. 2, pp. 1-758). New York: Springer.

Hashikura, M., & Kizu, J. (2009). Stockpile of personal protective equipment in hospital settings: preparedness for influenza pandemics. American journal of infection control, 37(9), 703-707.

Hernandez-Matamoros, A., Fujita, H., Hayashi, T., & Perez-Meana, H. (2020). Forecasting of COVID-19 per region using ARIMA models and polynomial functions. Applied soft computing, 96, 106610.

Kamar, A., Maalouf, N., Hitti, E., El Eid, G., Isma'eel, H., & Elhajj, I. H. (2021). The challenge of forecasting demand of medical resources and supplies during a pandemic: A comparative evaluation of three surge calculators for COVID-19. Epidemiology & Infection, 149.

Kiarie, J., Mwalili, S., & Mbogo, R. (2022). Forecasting the spread of the COVID-19 pandemic in Kenya using SEIR and ARIMA models. Infectious Disease Modelling, 7(2), 179-188.

Khanna, R. C., Cicinelli, M. V., Gilbert, S. S., Honavar, S. G., & Murthy, G. V. (2020). COVID-19 pandemic: Lessons learned and future directions. Indian journal of ophthalmology, 68(5), 703-710.

Lee, E., Loh, W., Ang, I., & Tan, Y. (2020). Plastic bags as personal protective equipment during the COVID-19 pandemic:
Between the devil and the deep blue sea. The Journal of Emergency Medicine. https://doi.org/10.1016/j.jemermed.2020.04.016

Loeb, M., McGeer, A., Henry, B., Ofner, M., Rose, D., Hlywka, T., ... & Walter, S. D. (2004). SARS among critical care nurses, Toronto. Emerging infectious diseases, 10(2), 251.

Leung, G. M., Hedley, A. J., Ho, L. M., Chau, P., Wong, I. O., Thach, T. Q., ... & Lam, T. H. (2004). The epidemiology of severe acute respiratory syndrome in the 2003 Hong Kong epidemic: an analysis of all 1755 patients. Annals of internal medicine, 141(9), 662-673.

Murray, M., Grant, J., Bryce, E., Chilton, P., & Forrester, L. (2010). Facial protective equipment, personnel, and pandemics: impact of the pandemic (H1N1) 2009 virus on personnel and use of facial protective equipment. Infection Control & Hospital Epidemiology, 31(10), 1011-1016.

Mahmood, S. U., Crimbly, F., Khan, S., Choudry, E., & Mehwish, S. (2020). Strategies for rational use of personal protective equipment (PPE) among healthcare providers during the COVID-19 crisis. Cureus, 12(5).

Mehrotra, P., Malani, P., & Yadav, P. (2020, May). Personal protective equipment shortages during COVID-19—supply chain–related causes and mitigation strategies. In JAMA Health Forum (Vol. 1, No. 5, pp. e200553-e200553). American Medical Association.

Mitchell, R., Ogunremi, T., Astrakianakis, G., Bryce, E., Gervais, R., Gravel, D., ... & Canadian Nosocomial Infection Surveillance Program. (2012). Impact of the 2009 influenza A (H1N1) pandemic on Canadian health care workers: a survey on vaccination, illness, absenteeism, and personal protective equipment. American journal of infection control, 40(7), 611-616.

Mordor Intelligence. 2020. Protective Clothing Market for
Life Sciences Industry (2019~2024). https://www.mordorintelligence.com.

Montgomery, D. C., Peck, E. A., & Vining, G. G. (2021). Introduction to linear regression analysis. John Wiley & Sons.

Ngatu, N. R., Kayembe, N. J. M., Phillips, E. K., Okech-Ojony, J., Patou-Musumari, M., Gaspard-Kibukusa, M., ... & Nojima, S. (2017). Epidemiology of ebolavirus disease (EVD) and occupational EVD in health care workers in Sub-Saharan Africa: Need for strengthened public health preparedness. Journal of Epidemiology, 27(10), 455-461.

Newbold, P. (1983). ARIMA model building and the time series analysis approach to forecasting. Journal of Forecasting, 2(1), 23-35.
Park, S. H. (2020). Personal protective equipment for healthcare workers during the COVID-19 pandemic. Infection & chemotherapy, 52(2), 165.

Park, C. Y., Kim, K., & Roth, S. (2020). The global shortage of personal protective equipment amid COVID-19: supply chains, bottlenecks, and policy implications (No. 130). Asian Development Bank.

Peng, P. W., Wong, D. T., Bevan, D., & Gardam, M. (2003). Infection control and anesthesia: lessons learned from the Toronto SARS outbreak. Canadian Journal of Anaesthesia, 50(10), 989.

Pandey, G., Chaudhary, P., Gupta, R., & Pal, S. (2020). SEIR and Regression Model based COVID-19 outbreak predictions in India—arXiv preprint arXiv:2004.00958.

Peiris, J. S. M., Chu, C. M., Cheng, V. C. C., Chan, K. S., Hung, I. F. N., Poon, L. L., ... & HKU/UCH SARS Study Group. (2003). Clinical progression and viral load in a community outbreak of coronavirus-associated SARS pneumonia: a prospective study. The Lancet, 361(9371), 1767-1772.

Perone, G. (2020). An ARIMA model to forecast the spread and the final size of the COVID-2019 epidemic in Italy. MedRxiv, 2020-04.

Pankratz, A. (1991). Forecasting with dynamic regression models. John Wiley & Sons.
Rath, S., Tripathy, A., & Tripathy, A. R. (2020). Prediction of new active cases of coronavirus disease (COVID-19) pandemic using multiple linear regression model. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(5), 1467-1474.

Ranney, M. L., Griffeth, V., & Jha, A. K. (2020). Critical supply shortages—the need for ventilators and personal protective equipment during the Covid-19 pandemic. New England Journal of Medicine, 382(18), e41.http://doi.org/10.1056/nejmp2006141

Saad, M., Omrani, A. S., Baig, K., Bahloul, A., Elzein, F., Matin, M. A., ... & Albarrak, A. M. (2014). Clinical aspects and outcomes of 70 patients with Middle East respiratory syndrome coronavirus infection: a single-center experience in Saudi Arabia. International Journal of Infectious Diseases, 29, 301-306.
Sato, R. C. (2013). Disease management with ARIMA model in time series. Einstein (Sao Paulo), 11, 128-131.

Sahai, A. K., Rath, N., Sood, V., & Singh, M. P. (2020). ARIMA modeling & forecasting of COVID-19 in top five affected countries. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(5), 1419-1427.

Sharma, N., Hasan, Z., Velayudhan, A., MA, E., Mangal, D. K., & Gupta, S. D. (2020). Personal protective equipment: challenges and strategies to combat COVID-19 in India: a narrative review. Journal of Health Management, 22(2), 157-168.

Seidelman, J. L., Lewis, S. S., Advani, S. D., Akinboyo, I. C., Epling, C., Case, M., ... & Smith, B. A. (2020). Universal masking is an effective strategy to flatten the severe acute respiratory coronavirus virus 2 (SARS-CoV-2) healthcare worker epidemiologic curve. Infection Control & Hospital Epidemiology, 41(12), 1466-1467.

Swaminathan, A., Martin, R., Gamon, S., Aboltins, C., Athan, E., Braitberg, G., ... & Grayson, M. L. (2007). Personal protective equipment and antiviral drug use during hospitalization for suspected avian or pandemic influenza1: emerging infectious diseases, 13(10), 1541.

Tan, Z., Khoo, D. W. S., Zeng, L. A., Tien, J. C. C., Lee, A. K. Y., Ong, Y. Y., ... & Abdullah, H. R. (2020). Protecting health care workers in the front line: Innovation in COVID-19 pandemic. Journal of global health, 10(1).
Tyagi, R., Bramhankar, M., Pandey, M., & Kishore, M. (2020). COVID-19: Real-time Forecasts of Confirmed Cases, Active Cases, and Health Infrastructure Requirements for India and its Majorly Affected States using the ARIMA model. medRxiv, 2020-05.

Tandon, H., Ranjan, P., Chakraborty, T., & Suhag, V. (2022). Coronavirus (COVID-19): ARIMA-based Time-series Analysis to Forecast Near Future and the Effect of School Reopening in India. Journal of Health Management, 24(3), 373-388.

The Hindu Business Line. (2020). COVID-19: Healthcare workers resort to using helmets and raincoats as protective gear amid PPE shortage. https://www.thehindubusinessline.com/news/variety/covid-19-healthcare-workersresort-to-using-helmets-and-raincoats-as-protective-gear-amid-ppe-shortage/article31218331.ece

Vimercati, L., De Maria, L., Quarato, M., Caputi, A., Stefanizzi, P., Gesualdo, L., ... & Tafuri, S. (2021). COVID-19 hospital outbreaks: Protecting healthcare workers to protect frail patients. An Italian observational cohort study. International Journal of Infectious Diseases, 102, 532-537.

Wei, J. T., Liu, Z. D., Fan, Z. W., Zhao, L., & Cao, W. C. (2020). Epidemiology of and risk factors for COVID-19 infection among health care workers: a multi-center comparative study. International Journal of Environmental Research and Public Health, 17(19), 7149.

Wang, C., Horby, P. W., Hayden, F. G., & Gao, G. F. (2020). A novel coronavirus outbreak of global health concern. The Lancet, 395(10223), 470-473.

Wang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J., ... & Peng, Z. (2020). Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus–infected pneumonia in Wuhan, China. jama, 323(11), 1061-1069.

Wang, Y., Wang, Y., Chen, Y., & Qin, Q. (2020). Unique epidemiological and clinical features of the emerging 2019 novel coronavirus pneumonia (COVID‐19) implicate special control measures. Journal of medical virology, 92(6), 568-576.

Wong, J. E., Leo, Y. S., & Tan, C. C. (2020). COVID-19 in Singapore—current experience: critical global issues that require attention and action. Jama, 323(13), 1243-1244.

World Health Organization (2009). Summary of probable SARS cases with onset of illness from 1 November 2002 to 31 July 2003. Available from: http://www.who.
int/csr/sars/country/table2004_04_21/en/index.html. Accessed January 5, 2009.

World Health Organization (2015). Health worker Ebola infections in Guinea, Liberia, and Sierra Leone: a preliminary report 21 May 2015 (No. WHO/EVD/SDS/REPORT/2015.1). World Health Organization.

World Health Organization (2018). Preferred product characteristics for personal protective equipment for the health worker on the frontline responding to viral hemorrhagic fevers in tropical climates.

World Health Organization (2020). Coronavirus disease 2019 ( COVID-19) : situation report, 67. https://www.who.int/publications/m/item/situation-report---67

World Health Organization (2020). Shortage of Personal Protective
Equipment Endangering Health Workers Worldwide.
News Release. 3 March. https://www.who.int/news-room/
detail/03-03-2020-shortage-of-personal-protective equipment-
endangering-health-workers-worldwide.

World Health Organization (2020). Rational use of personal protective equipment for coronavirus disease (COVID-19) and considerations during severe shortages: interim guidance, 6 April 2020 (No. WHO/2019-nCov/IPC_PPE_use/2020.3). World Health Organization.

陳旭昇, & 經濟. (2013). 時間序列分析: 總體經濟與財務金融之應用.
臺灣東華.

台灣衛生福利部疾病管制署(民109年1月10日)。醫療機構因應 COVID-19 感染管制措施指引。台灣衛生福利部疾病管制署官網。
民112年7月7日，取自:
https://www.cdc.gov.tw/Category/MPage/I92jtldmxZO_oolFPzP9HQ

台灣衛生福利部疾病管制署(民109年1月27日)。醫療機構因應 COVID-19 感染管制措施指引。台灣衛生福利部疾病管制署官網。
民112年7月7日，取自:
https://www.cdc.gov.tw/Category/MPage/I92jtldmxZO_oolFPzP9HQ

台灣衛生福利部疾病管制署 (民110年5月30日)。全國社區採檢站設置補助上路。台灣衛生福利部疾病管制署官網。民112年5月10日，取自:
https://www.cdc.gov.tw/Category/NewsPage/14678?keyword=%27%E7%A4%BE%E5%8D%80%E7%AF%A9%E6%AA%A2%E7%AB%99%27

台灣衛生福利部疾病管制署(民110年6月3日)。各地方政府社區篩檢站設置指引。台灣衛生福利部疾病管制署官網。
民112年7月7日，取自:
https://www.cdc.gov.tw/Category/MPage/h2486AT49qEfecnvL4VU3g

台灣衛生福利部疾病管制署(民110年6月7日)。大眾配戴口罩規定。
台灣衛生福利部疾病管制署官網。
民112年7月7日，取自:
https://www.cdc.gov.tw/Bulletin/Detail/0SoUcz9h9xq6wfHsBCpV-g?typeid=9

台灣衛生福利部疾病管制署(民111年4月14日)。調整COVID-19確定病例輕重症分流收治原則。台灣衛生福利部疾病管制署官網。
民112年5月10日，取自:
https://www.cdc.gov.tw/Category/NewsPage/14678?keyword=%27%E9%87%8D%E7%97%87%27

台灣衛生福利部疾病管制署(民112年5月10日)。傳染病統計資料查詢系統。
台灣衛生福利部疾病管制署官網。民112年5月10日，取自:
https://nidss.cdc.gov.tw/nndss/disease?id=19CoV