Citation: Toshikazu Kuniya, Hisashi Inaba. Possible effects of mixed prevention strategy for COVID-19 epidemic: massive testing, quarantine and social distancing[J]. AIMS Public Health, 2020, 7(3): 490-503. doi: 10.3934/publichealth.2020040
[1] | WHOCoronavirus disease (COVID-2019) situation reports.Available from: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports. |
[2] | Kuniya T (2020) Prediction of the epidemic peak of coronavirus disease in Japan, 2020. J Clin Med 9: 789. doi: 10.3390/jcm9030789 |
[3] | Inaba H (2017) Age-Structured Population Dynamics in Demography and Epidemiology Berlin/Heidelberg: Springer. doi: 10.1007/978-981-10-0188-8 |
[4] | Day M (2020) Covid-19: identifying and isolating asymptomatic people helped eliminate virus in Italian village. BMJ 368: m1165. doi: 10.1136/bmj.m1165 |
[5] | Mizumoto K, Kagaya K, Zarebski A, et al. (2020) Estimating the asymptomatic proportion of coronavirus disease 2019 (COVID-19) cases on board the Diamond Princess cruise ship, Yokohama, Japan, 2020. Euro Surveill 25: 2000180. doi: 10.2807/1560-7917.ES.2020.25.10.2000180 |
[6] | Nishiura H, Kobayashi T, Suzuki A, et al. (2020) Estimation of the asymptomatic ratio of novel coronavirus infections (COVID-19). Int J Infect Dis 94: 154. doi: 10.1016/j.ijid.2020.03.020 |
[7] | Tian S, Hu N, Lou J, et al. (2020) Characteristics of COVID-19 infection in Beijing. J Infect 80: 401-406. doi: 10.1016/j.jinf.2020.02.018 |
[8] | WHOQ&A: Similarities and differences - COVID-19 and influenza.Available from: https://www.who.int/news-room/q-a-detail/q-a-similarities-and-differences-covid-19-and-influenza. |
[9] | Our World in DataCoronavirus disease (COVID-19) - statistics and research.Available from: https://ourworldindata.org/coronavirus. |
[10] | He X, Lau EHY, Wu P, et al. (2020) Temporal dynamics in viral shedding and transmissibility of COVID-19. Nat Med 26: 672-675. doi: 10.1038/s41591-020-0869-5 |
[11] | De la Sen M, Agarwal RP, Ibeas A, et al. (2010) On a generalized time-varying SEIR epidemic model with mixed point and distributed time-varying delays and combined regular and impulsive vaccination controls. Adv Diff Equat 2010: 281612. doi: 10.1186/1687-1847-2010-281612 |
[12] | De la Sen M, Ibeas A, Alonso-Quesada S (2012) On vaccination controls for the SEIR epidemic model. Commun Nonlinear Sci Numer Sim 17: 2637-2658. doi: 10.1016/j.cnsns.2011.10.012 |
[13] | Inaba H, Nishiura H (2008) The state-reproduction number for a multistate class age structured epidemic system and its application to the asymptomatic transmission model. Math Biosci 216: 77. doi: 10.1016/j.mbs.2008.08.005 |
[14] | Anderson RM, Heesterbeek H, Kilnkenberg D, et al. (2020) How will country-based mitigation measures influence the course of the COVID-19 epidemic? Lancet 395: 931-934. doi: 10.1016/S0140-6736(20)30567-5 |
[15] | Li Q, Guan X, Wu P, et al. (2020) Early transmission dynamics in Wuhan, China, of novel coronavirus - infected pneumonia. New Engl J Med 382: 1199-1207. doi: 10.1056/NEJMoa2001316 |
[16] | Linton NM, Kobayashi T, Yang Y, et al. (2020) Incubation period and other epidemiological characteristics of 2019 novel coronavirus infections with right truncation: a statistical analysis of publicly available case data. J Clin Med 9: 538. doi: 10.3390/jcm9020538 |
[17] | Sun H, Qiu Y, Yan H, et al. (2020) Tracking and predicting COVID-19 epidemic in China mainland. medRxiv . |
[18] | CDCSocial distancing, quarantine, and isolation.Available from: https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/social-distancing.html. |
[19] | Fang Y, Zhang H, Xie J, et al. (2020) Sensitivity of chest CT for COVID-19: comparison to RT-PCR. Radiology 200432. |
[20] | Kamae IA coronavirus pandemic alert: massive testing for COVID-19 in a large population entails extensive errors.Available from: https://www.canon-igs.org/en/column/macroeconomics/20200402_6324.html. |
[21] | Statistics Bureau of JapanPopulation Estimates Monthly Report.Available from: https://www.stat.go.jp/english/data/jinsui/tsuki/index.html. |