59. Baerwolff GK (2020) A contribution to the mathematical modeling of the Corona/COVID-19
Pandemic. medRxiv
60. Distante C, Piscitelli P, Miani A (2020) Covid-19 outbreak progression in Italian regions:
approaching the peak by the end of march in northern Italy and first week of april in
southern Italy. Int J Environ Res Public Health 17:3025
61. Wang L, Li J, Guo S, Xie N, Yao L, Cao Y, Day SW, Howard SC, Graff JC, Gu T et al
(2020) Real-time estimation and prediction of mortality caused by COVID-19 with patient
information based algorithm. Sci Total Environ 727:138394
62. te Vrugt M, Bickmann J, Wittkowski R (2020) Effects of social distancing and isolation on
epidemic spreading: a dynamical density functional theory model. arXiv:2003.13967
63. Yang Z, Zeng Z, Wang K, Wong SS, Liang W, Zanin M, Liu P, Cao X, Gao Z, Mai Z et al
(2020) Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China
under public health interventions. J Thorac Dis 12:165
64. Roda WC, Varughese MB, Han D, Li MY (2020) Why is it difficult to accurately predict
the COVID-19 epidemic? Infect Dis Model 5:271–281
65. Otunuga OM, Ogunsolu MO (2020) Qualitative analysis of a stochastic SEITR epidemic
model with multiple stages of infection and treatment. Infect Dis Model 5:61–90
66. Nesteruk I (2020) Statistics based predictions of coronavirus 2019-nCoV spreading in
mainland China, MedRxiv Posted. https://doi.org/10.1101/2020.02.12.20021931
67. Nesteruk I (2020) Statistics-based predictions of coronavirus epidemic spreading in
mainland China. Inntive Biosyst Bioeng 4(1):13–18. https://doi.org/10.20535/ibb.2020.4.1.
195074
68. Nesteruk I (2020) Verification of coronavirus epidemic predictions for mainland China.
[Preprint.] ResearchGate. https://doi.org/10.13140/rg.2.2.17231.43681. https://www.
researchgate.net/publication/339285703_Verification_of_coronavirus_epidemic_predictions_
for_mainland_China?channel=doi&linkId=5e47d59d458515072d9e26d8&showFulltext=
true
69. Nesteruk I (2020) Characteristics of coronavirus epidemic in mainland China estimated
with the use of official data available after February 12, 2020. [Preprint.] ResearchGate.
https://doi.org/10.13140/rg.2.2.19667.32804
70. Nesteruk I (2020) Estimations of the coronavirus epidemic dynamics in South Korea with the
use of SIR model. [Preprint.] ResearchGate. https://doi.org/10.13140/rg.2.2.15489.40807
71. Nesteruk I (2020) Long-term predictions for COVID-19 pandemic dynamics in Ukraine,
Austria and Italy. [Preprint.] MEDRXIV https://www.medrxiv.org/content/10.1101/2020.
04.08.20058123v1
72. Nesteruk I (2020) Як дoвгo yкpaїнцi cидiтимyть нa кapaнтинi? How long will the
Ukrainians stay in quarantine? (in Ukrainian) [Preprint.] ResearchGate. https://doi.org/10.
13140/rg.2.2.15732.71046
73. Nesteruk I (2020) Динaмiкa COVID-19 eпiдeмiї в Укpaїнi тa Києвi пicля пoкpaщaння
тecтyвaння. COVID-19 epidemic dynamics in Ukraine and Kyiv after testing has improved
(In Ukrainian). [Preprint.] ResearchGate. https://doi.org/10.13140/rg.2.2.36705.86885
https://www.researchgate.net/publication/341043366_Dinamika_COVID-19_epidemii_v_
Ukraini_ta_Kievi_pisla_pokrasanna_testuvanna_COVID-19_epidemic_dynamics_in_Ukraine_
and_Kyiv_after_testing_has_improved
74. Nesteruk I (2020) SIR-simulation of Corona pandemic dynamics in Europe. [Preprint.]
MEDRXIV, https://medrxiv.org/cgi/content/short/2020.04.22.20075135v1
75. Nesteruk I (2020) Hidden periods, duration and final size of COVID-19 pandemic. Preprint.
MedRxiv. https://medrxiv.org/cgi/content/short/2020.05.10.20097147v1
76. Nesteruk I (2020) Cтaтиcтикa пaндeмiї COVID-19 в Укpaїнi тa cвiтi COVID-19.
Pandemic statistics in Ukraine and world. (In Ukrainian). ResearchGate. https://doi.org/10.
13140/rg.2.2.30999.39842. https://www.researchgate.net/publication/341542317_Statistika_
pandemii_COVID-19_v_Ukraini_ta_sviti_COVID-19_pandemic_statistics_in_Ukraine_
and_world
168
References
Précédent

- 170/174

Suivant