Centers for Disease Control and Prevention; COVID Data Tracker 2021 [cited 2021 Feb. 1]. Available from: https://covid.cdc.gov/covid-data-tracker/#datatracker-home

Holshue ML, DeBolt C, Lindquist S, et al. First case of 2019 novel coronavirus in the United States. N Engl J Med 2020;382:929-36. DOI: https://doi.org/10.1056/NEJMoa2001191

Porcher S. Response2covid19, a dataset of governments’ responses to COVID-19 all around the world. Sci Data 2020;7:423. DOI: https://doi.org/10.1038/s41597-020-00757-y

Hale T, Petherick A, Phillips T, Webster S. Variation in government responses to COVID-19. BSG Working Paper 2020;31:2020-11.

Hsiang S, Allen D, Annan-Phan S, et al. The effect of large-scale anti-contagion policies on the COVID-19 pandemic. Nature 2020;584:262-7. DOI: https://doi.org/10.1038/s41586-020-2404-8

Korolev I. Challenges with estimating the effect of anti-contagion policies on the COVID-19 pandemic. (2022). Available from: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3659623

Liao Z, Lan P, Liao Z, et al. TW-SIR: time-window based SIR for COVID-19 forecasts. Sci Rep 2020;10:1-15. DOI: https://doi.org/10.1038/s41598-020-80007-8

Bizzarri M, Di Traglia M, Giuliani A, et al. New statistical RI index allow to better track the dynamics of COVID-19 outbreak in Italy. Sci Rep 2020;10:22365. DOI: https://doi.org/10.1038/s41598-020-79039-x

Rǎdulescu A, Williams C, Cavanagh K. Management strategies in a SEIR-type model of COVID 19 community spread. Sci Rep 2020;10:21256. DOI: https://doi.org/10.1038/s41598-020-77628-4

Bhanot G, DeLisi C. Predictions for Europe for the Covid-19 pandemic from a SIR model. medRxiv 2020. DOI: https://doi.org/10.1101/2020.05.26.20114058

Peng L, Yang W, Zhang D, et al. Epidemic analysis of COVID-19 in China by dynamical modeling. 2020. arXiv preprint arXiv:200206563. DOI: https://doi.org/10.1101/2020.02.16.20023465

Barbarossa MV, Fuhrmann J, Meinke JH, et al. Modeling the spread of COVID-19 in Germany: Early assessment and possible scenarios. PloS One 2020;15:e0238559. DOI: https://doi.org/10.1371/journal.pone.0238559

Cooper I, Mondal A, Antonopoulos CG. A SIR model assumption for the spread of COVID-19 in different communities. Chaos Solitons Fractals 2020;139:110057. DOI: https://doi.org/10.1016/j.chaos.2020.110057

Wang J. Mathematical models for COVID-19: Applications, limitations, and potentials. J Public Health Emerg 2020;4:9. DOI: https://doi.org/10.21037/jphe-2020-05

Centers for Disease Control and Prevention. Ending isolation and precautions for people with COVID-19: Interim guidance. 2021. [cited 2021 Feb. 1]. Available from: https://www.cdc.gov/coronavirus/2019-ncov/hcp/duration-isolation.html

Chaudhry R, Dranitsaris G, Mubashir T, et al. A country level analysis measuring the impact of government actions, country preparedness and socioeconomic factors on COVID-19 mortality and related health outcomes. EClinicalMedicine 2020;25:100464. DOI: https://doi.org/10.1016/j.eclinm.2020.100464

VoPham T, Weaver MD, Hart JE, et al. Effect of social distancing on COVID-19 incidence and mortality in the US. MedRxiv 2020. DOI: https://doi.org/10.1101/2020.06.10.20127589

Chinazzi M, Davis JT, Ajelli M, et al. The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. Science 2020;368:395-400. DOI: https://doi.org/10.1126/science.aba9757

Fowler JH, Hill SJ, Levin R, Obradovich N. The effect of stay-athome orders on COVID-19 cases and fatalities in the United States. medRxiv 2020. DOI: https://doi.org/10.1101/2020.04.13.20063628

Giordano G, Blanchini F, Bruno R, et al. Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy. Nat Med 2020;26:855-60.

Tang B, Wang X, Li Q, et al. Estimation of the transmission risk of the 2019-nCoV and its implication for public health interventions. J Clin Med 2020;9:462. DOI: https://doi.org/10.3390/jcm9020462

Kraemer MU, Yang C-H, Gutierrez B, et al. The effect of human mobility and control measures on the COVID-19 epidemic in China. Science 2020;368:493-7. DOI: https://doi.org/10.1126/science.abb4218

Ferguson N, Laydon D, Nedjati-Gilani G, et al. Report 9: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand. Imperial College London 2020;10:77482.

Li R, Pei S, Chen B, et al. Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2). Science 2020;368:489-93. DOI: https://doi.org/10.1126/science.abb3221

STATESIDE. Introducing State Snapshot: A COVID-19 Report 2020. [cited 2020 Jul. 31]. Available from: https://www.stateside.com/blog/introducing-state-snapshot-covid-19-report

Multistate [Internet]. COVID-19 Policy Dashboard 2020 [cited 2020 Jul. 31]. Available from: https://www.multistate.us/research/covid/public/

Kaiser Family Foundation. State COVID-19 Data and Policy Actions 2020 [cited 2020 Jul. 31]. Available from: https://www.kff.org/coronavirus-covid-19/issue-brief/state-covid-19-data-and-policy-actions/

Centers for Disease Control and Prevention 2020 [cited 2020 Jul. 31]. Available from: https://www.cdc.gov/

Johns Hopkins Coronavirus Resource Center 2020 [cited 2020 Jul. 31]. Available from: https://coronavirus.jhu.edu/

The New York Times Coronavirus (Covid-19) Data in the United States 2020 [cited 2020 Jul. 31]. Available from: https://github.com/nytimes/covid-19-data/

Worldometer [Internet]. Real time world statistics 2020 [cited 2020 Jul. 31]. Available from: https://www.worldometers.info/coronavirus/

Tolles J, Luong T. Modeling epidemics with compartmental models. JAMA 2020;323:2515-6. DOI: https://doi.org/10.1001/jama.2020.8420

Anand N, Sabarinath A, Geetha S, Somanath S. Predicting the spread of COVID-19 using SIR model augmented to incorporate quarantine and testing. Trans Ind Natl Acad Eng 2020;5:141-8. DOI: https://doi.org/10.1007/s41403-020-00151-5

Chen Y-C, Lu P-E, Chang C-S, Liu T-H. A time-dependent SIR model for COVID-19 with undetectable infected persons. IEEE Trans Netw Sci Eng 2020;7:3279-94. DOI: https://doi.org/10.1109/TNSE.2020.3024723

Jia W, Han K, Song Y, et al. Extended SIR prediction of the epidemics trend of COVID-19 in Italy and compared with Hunan, China. Front Med (Lausanne) 2020;7:169. DOI: https://doi.org/10.3389/fmed.2020.00169

Das S. Prediction of covid-19 disease progression in india: Under the effect of national lockdown. 2020. arXiv preprint arXiv:200403147.

Nguemdjo U, Meno F, Dongfack A, Ventelou B. Simulating the progression of the COVID-19 disease in Cameroon using SIR models. PloS One 2020;15:e0237832. DOI: https://doi.org/10.1371/journal.pone.0237832

Kaddar A, Abta A, Alaoui HT. A comparison of delayed SIR and SEIR epidemic models. Nonlinear Analysis Modelling Control 2011;16:181-90. DOI: https://doi.org/10.15388/NA.16.2.14104

Biswas MHA, Paiva LT, De Pinho M. A SEIR model for control of infectious diseases with constraints. Math Biosci Eng 2014;11:761. DOI: https://doi.org/10.3934/mbe.2014.11.761

Sun C, Hsieh Y-H. Global analysis of an SEIR model with varying population size and vaccination. Appl Math Modell 2010;34:2685-97. DOI: https://doi.org/10.1016/j.apm.2009.12.005

Li MY, Muldowney JS. Global stability for the SEIR model in epidemiology. Math Biosci 1995;125:155-64. DOI: https://doi.org/10.1016/0025-5564(95)92756-5

U.S. Census Bureau. 2020 [cited 2020 Jul. 31]. Available from: https://www.census.gov/data.html

Carcione JM, Santos JE, Bagaini C, Ba J. A simulation of a COVID-19 epidemic based on a deterministic SEIR model. 2020. arXiv preprint. arXiv:200403575. DOI: https://doi.org/10.1101/2020.04.20.20072272

Wilson N, Kvalsvig A, Barnard LT, Baker MG. Case-fatality risk estimates for COVID-19 calculated by using a lag time for fatality. Emerg Infect Dis 2020;26:1339-41. DOI: https://doi.org/10.3201/eid2606.200320

Dietz K. The estimation of the basic reproduction number for infectious diseases. Stat Methods Med Res 1993;2:23-41. DOI: https://doi.org/10.1177/096228029300200103

Daley DJ, Gani J. Epidemic modelling: an introduction: Cambridge University Press; 2001.

Nishiura H, Chowell G. The effective reproduction number as a prelude to statistical estimation of time-dependent epidemic trends. In: G Chowell, JM Hyman, LMA Bettencourt, C Castillo-Chavez, Editors. Mathematical and statistical estimation approaches in epidemiology. Springer: 2009; p. 103-21. DOI: https://doi.org/10.1007/978-90-481-2313-1_5

Grimm V, Heinlein A, Klawonn A, et al. Estimating the time-dependent contact rate of SIR and SEIR models in mathematical epidemiology using physics-informed neural networks. 2020. Available from: https://kups.ub.uni-koeln.de/12159/ DOI: https://doi.org/10.1553/etna_vol56s1

Lauer SA, Grantz KH, Bi Q, et al. The incubation period of coronavirus disease 2019 (COVID-19) from publicly reported confirmed cases: estimation and application. Ann Int Med 2020;172:577-82. DOI: https://doi.org/10.7326/M20-0504

Lei S, Jiang F, Su W, et al. Clinical characteristics and outcomes of patients undergoing surgeries during the incubation period of COVID-19 infection. EClinicalMedicin. 2020;21:100331. DOI: https://doi.org/10.1016/j.eclinm.2020.100331

McAloon C, Collins Á, Hunt K, et al. Incubation period of COVID-19: a rapid systematic review and meta-analysis of observational research. BMJ Open 2020;10:e039652. DOI: https://doi.org/10.1136/bmjopen-2020-039652

World Health Organization. Transmission of SARS-CoV-2: implications for infection prevention precautions: scientific brief. 2020. Available from: https://www.who.int/news-room/commentaries/detail/transmission-of-sars-cov-2-implications-for-infection-prevention-precautions

Giordano G, Blanchini F, Bruno R, et al. Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy. Nat Med 2020;26:855-60. DOI: https://doi.org/10.1038/s41591-020-0883-7

Kim G-u, Kim M-J, Ra SH, et al. Clinical characteristics of asymptomatic and symptomatic patients with mild COVID-19. Clin Microbiol Infect 2020;26:948.e1-e3. DOI: https://doi.org/10.1016/j.cmi.2020.04.040

Wu Z, McGoogan JM. Asymptomatic and pre-symptomatic COVID-19 in China. Infect Dis Poverty 2020;9:72-3. DOI: https://doi.org/10.1186/s40249-020-00679-2

Yang R, Gui X, Xiong Y. Comparison of clinical characteristics of patients with asymptomatic vs symptomatic coronavirus disease 2019 in Wuhan, China. JAMA Netw Open 2020;3:e2010182. DOI: https://doi.org/10.1001/jamanetworkopen.2020.10182

Centers for Disease Control and Prevention. COVID-19 Science Update released 2020. [cited 2020 Nov. 17]. Available from: https://www.cdc.gov/library/covid19/111720_covidupdate.html/

Buitrago-Garcia D, Egli-Gany D, Counotte MJ, et al. Occurrence and transmission potential of asymptomatic and presymptomatic SARS-CoV-2 infections: A living systematic review and meta-analysis. PLoS Med 2020;17:e1003346. DOI: https://doi.org/10.1371/journal.pmed.1003346

Lawless JF. Negative binomial and mixed Poisson regression. Can J Statistics 1987;15:209-25. DOI: https://doi.org/10.2307/3314912

Consul P, Famoye F. Generalized Poisson regression model. Commun Stat-Theor M 1992;21:89-109. DOI: https://doi.org/10.1080/03610929208830766

Ioannidis J. The infection fatality rate of COVID-19 inferred from seroprevalence data. Bull World Health Organ 2021;99:19-33F. DOI: https://doi.org/10.2471/BLT.20.265892

Russell TW, Hellewell J, Jarvis CI, et al. Estimating the infection and case fatality ratio for coronavirus disease (COVID-19) using age-adjusted data from the outbreak on the Diamond Princess cruise ship, February 2020. EuroSurveillance 2020;25:2000256. DOI: https://doi.org/10.2807/1560-7917.ES.2020.25.12.2000256

Brazeau N, Verity R, Jenks S, et al. Report 34: COVID-19 infection fatality ratio: estimates from seroprevalence. Imperial College London 2020. Available from: https://www.imperial.ac.uk/media/imperial-college/medicine/mrc-gida/2020-10-29-COVID19-Report-34.pdf

Hu H, Nigmatulina K, Eckhoff P. The scaling of contact rates with population density for the infectious disease models. Math Biosci 2013;244:125-34. DOI: https://doi.org/10.1016/j.mbs.2013.04.013

Basu A. Estimating the infection fatality rate among symptomatic covid-19 cases in the united states: study estimates the covid-19 infection fatality rate at the US county level. Health Affairs 2020;39:77-84. DOI: https://doi.org/10.1377/hlthaff.2020.00455

Bahl P, Doolan C, de Silva C, et al. Airborne or droplet precautions for health workers treating COVID-19? J Infect Dis 2020;jiaa189. Online ahead of print. DOI: https://doi.org/10.1093/infdis/jiaa189

Lyu W, Wehby GL. Community use of face masks and covid-19: evidence from a natural experiment of state mandates in the us: study examines impact on covid-19 growth rates associated with state government mandates requiring face mask use in public. Health Affairs 2020;39:1419-25. DOI: https://doi.org/10.1377/hlthaff.2020.00818

Rubin D, Huang J, Fisher BT, et al. Association of social distancing, population density, and temperature with the instantaneous reproduction number of SARS-CoV-2 in counties across the United States. JAMA Netw Open 2020;3:e2016099. DOI: https://doi.org/10.1001/jamanetworkopen.2020.16099

Forbes [Internet]. The Frustrating Coronavirus School Opening Debate 2020 [cited 2020 Dec. 7]. Available from: https://www.forbes.com/sites/mikemcshane/2020/12/07/the-frustrating-coronavirus-school-opening-debate/?sh=5b9ecfe42123

Esposito S, Cotugno N, Principi N. Comprehensive and safe school strategy during COVID-19 pandemic. Ital J Pediatr 2021;47:6. DOI: https://doi.org/10.1186/s13052-021-00960-6

Viner RM, Mytton OT, Bonell C, et al. Susceptibility to SARS-CoV-2 infection among children and adolescents compared with adults: a systematic review and meta-analysis. JAMA Pediatrics 2020;175:143-56. DOI: https://doi.org/10.1001/jamapediatrics.2020.4573

Gudbjartsson DF, Helgason A, Jonsson H, et al. Spread of SARS-CoV-2 in the Icelandic population. N Engl J Med 2020;382:2302-15. DOI: https://doi.org/10.1056/NEJMoa2006100

Di Domenico L, Pullano G, Pullano G, et al. Expected impact of school closure and telework to mitigate COVID-19 epidemic in France. EPIcx Lab 2020;15.

The Washington Post [Internet]. Europe’s schools still open, still relatively safe, through covid-19 second wave 2020 [cited 2020 Dec. 1]. Available from: https://www.washingtonpost.com/world/europe/europe-schools-covid-open/2020/12/01/4480a5c8-2e61-11eb-9dd6-2d0179981719_story.html/

Esposito S, Principi N. School closure during the coronavirus disease 2019 (COVID-19) pandemic: an effective intervention at the global level? JAMA Pediatrics 2020;174:921-2. DOI: https://doi.org/10.1001/jamapediatrics.2020.1892

Poletti M, Raballo A. COVID-19 and effects of school closure for children and their families: a deafening silence. JAMA Pediatr 2021;175:210. DOI: https://doi.org/10.1001/jamapediatrics.2020.3586

Van Lancker W, Parolin Z. COVID-19, school closures, and child poverty: a social crisis in the making. Lancet Public Health 2020;5:e243-e4. DOI: https://doi.org/10.1016/S2468-2667(20)30084-0

Armitage R, Nellums LB. Considering inequalities in the school closure response to COVID-19. Lancet Global Health 2020;8:e644. DOI: https://doi.org/10.1016/S2214-109X(20)30116-9

Department of Health. Impact of school closures on an influenza pandemic. Scientific evidence base review. 2014. Available from: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/316203/School_Closures_Evidence_review.pdf

Thu TPB, Ngoc PNH, Hai NM. Effect of the social distancing measures on the spread of COVID-19 in 10 highly infected countries. Sci Total Environ 2020;742:140430. DOI: https://doi.org/10.1016/j.scitotenv.2020.140430

Medline A, Hayes L, Valdez K, et al. Evaluating the impact of stay-at-home orders on the time to reach the peak burden of Covid-19 cases and deaths: does timing matter? BMC Public Health 2020;20:1750. DOI: https://doi.org/10.1186/s12889-020-09817-9

Schneider EC. Failing the test - The tragic data gap undermining the US pandemic response. N Engl J Med 2020;383:299-302. DOI: https://doi.org/10.1056/NEJMp2014836

Dunford R, Su Q, Tamang E. The pareto principle. Plymouth Stud Sci. 2014;7:140-8.