1. Roush S, Fast H, Miner CE, Vins H, Baldy L, McNall R, et al. National Center for Immunization and Respiratory Diseases (NCIRD) Support for Modernization of the Nationally Notifiable Diseases Surveillance System (NNDSS) to Strengthen Public Health Surveillance Infrastructure in the US. 2019 CSTE Annual Conference; 2019. [
Google Scholar]
2. WHO Director-General's remarks at the media briefing on 2019-nCoV on 11 February 2020 (Internet). (cited 2022 Aug 31). Available from: https://www.who.int/director-general/speeches/detail/who-director-general-s-remarks-at-the-media-briefing-on-2019-ncov-on-11-february-2020. [
URL]
3. WHO. Director-General's remarks at the media briefing on 2019-nCoV on 10 February 2020 (Internet). (cited 2022 Aug 31). Available from: https://www.who.int/director general/speeches/detail/who-director-general-s-remarks-at-the-media-briefing-on-2019-ncov-on-10-february-2020. [
URL]
4. Maitra S, Biswas M, Bhattacharjee S. Case-fatality rate in COVID-19 patients: a meta-analysis of publicly accessible database. medRxiv (Internet). 2020; Available from: https://www.medrxiv.org/content/10.1101/2020.04.09.20059683v2 [
DOI]
5. Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention. JAMA. 2020;323(13):1239-42. [
DOI] [
PMID]
6. Mahase E. Coronavirus: covid-19 has killed more people than SARS and MERS combined, despite lower case fatality rate. British Medical Journal Publishing Group; 2020. [
DOI] [
PMID]
7. Chan JF-W, Yuan S, Kok K-H, To KK-W, Chu H, Yang J, et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. The lancet. 2020;395(10223):514-23. [
DOI] [
PMID]
8. 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 Transactions on Network Science and Engineering. 2020;7(4):3279-94. [
DOI]
9. Peng L, Yang W, Zhang D, Zhuge C, Hong L. Epidemic analysis of COVID-19 in China by dynamical modeling. arXiv preprint arXiv:200206563. 2020. [
DOI]
10. Nesteruk I. Estimations of the coronavirus epidemic dynamics in South Korea with the use of SIR model. Preprint ResearchGate. 2020. [
DOI] [
PMCID]
11. Zhu K, Ying L. Information source detection in the SIR model: A sample-path-based approach. IEEE/ACM Transactions on Networking. 2014;24(1):408-21. [
DOI]
12. Li Q, Guan X, Wu P, Wang X, Zhou L, Tong Y, et al. Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia. New England journal of medicine (Internet). 2020; Available from: https://www.nejm.org/doi/full/10.1056/NEJMOa2001316 [
DOI] [
PMID] [
PMCID]
13. Onder G, Rezza G, Brusaferro S. Case-fatality rate and characteristics of patients dying in relation to COVID-19 in Italy. JAMA. 2020;323(18):1775-6. [
DOI] [
PMID]
14. Battegay M, Kuehl R, Tschudin-Sutter S, Hirsch HH, Widmer AF, Neher RA. 2019-novel Coronavirus (2019-nCoV): estimating the case fatality rate-a word of caution. Swiss Med Wkly. 2020(5). [
DOI]
15. Li G, De Clercq E. Therapeutic options for the 2019 novel coronavirus (2019-nCoV). Nature Reviews Drug Discovery. 2020;19(3):149-50. [
DOI] [
PMID]
16. Guan W-j, Ni Z-y, Hu Y, Liang W-h, Ou C-q, He J-x, et al. Clinical characteristics of coronavirus disease 2019 in China. The New England Journal of Medicine. 2020;382(18):1708-20. [
DOI] [
PMID] [
PMCID]
17. Singh R, Adhikari R. Age-structured impact of social distancing on the COVID-19 epidemic in India. arXiv preprint arXiv:200312055. 2020. [
Google Scholar]
18. Calafiore GC, Novara C, Possieri C. A Modified SIR Model for the COVID-19 Contagion in Italy. In: 2020 59th IEEE Conference on Decision and Control (CDC) (Internet). Jeju, Korea (South): IEEE [
DOI]
19. 2020 (cited 2022 Aug 31). p. 3889-94. Available from: https://ieeexplore.ieee.org/document/9304142/. [
URL]
20. Satsuma J, Willox R, Ramani A, Grammaticos B, Cârstea AS. Extending the SIR epidemic model. Physica A: Statistical Mechanics and its Applications. 2004;336(3-4):369-75. [
DOI]
21. Atkeson A. What will be the economic impact of COVID-19 in the US? Rough estimates of disease scenarios. National Bureau of Economic Research; 2020. [
DOI]
22. Lenka B. The mathematics of infectious disease (PhD Thesis). Comenius University Bratislava; 2007. [
URL]
23. Rachah A, Torres DF. Mathematical modelling, simulation, and optimal control of the 2014 Ebola outbreak in West Africa. Discrete dynamics in nature and society (Internet). 2015;2015. Available from: https://www.hindawi.com/journals/ddns/2015/842792/ [
DOI]
24. Simha A, Prasad RV, Narayana S. A simple stochastic sir model for covid 19 infection dynamics for karnataka: Learning from europe. arXiv preprint arXiv:200311920. 2020. [
URL]
25. Ahn JY, Sohn Y, Lee SH, Cho Y, Hyun JH, Baek YJ, et al. Use of convalescent plasma therapy in two COVID-19 patients with acute respiratory distress syndrome in Korea. Journal of Korean Medical Science. 2020;35(14). [
DOI] [
PMID] [
PMCID]
26. Roback JD, Guarner J. Convalescent plasma to treat COVID-19: possibilities and challenges. JAMA. 2020;323(16):1561-2. [
DOI] [
PMID]
27. Lu H. Drug treatment options for the 2019-new coronavirus (2019-nCoV). BioScience Trends. 2020;14(1):69-71. [
DOI] [
PMID]
28. Tanne JH. Covid-19: FDA approves use of convalescent plasma to treat critically ill patients. BMJ. 2020;368(m1256). [
DOI] [
PMID]
29. Bai Y, Yao L, Wei T, Tian F, Jin D-Y, Chen L, et al. Presumed asymptomatic carrier transmission of COVID-19. JAMA. 2020;323(14):1406-7. [
DOI] [
PMID] [
PMCID]
30. Aslan IH, Demir M, Wise MM, Lenhart S. Modeling COVID‐19: Forecasting and analyzing the dynamics of the outbreaks in Hubei and Turkey. Mathematical Methods in the Applied Sciences. 2022;45(10):6481-94. [
DOI]