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1
Prudent public health intervention strategies to control the coronavirus disease 2019 transmission in India: A mathematical model-based approach
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Prudent public health intervention strategies to control the coronavirus disease 2019 transmission in India: A mathematical model-based approach

Mandal, Sandip ; Bhatnagar, Tarun ; Arinaminpathy, Nimalan ; Agarwal, Anup ; Chowdhury, Amartya ; Murhekar, Manoj ; Gangakhedkar, Raman ; Sarkar, Swarup

Indian journal of medical research (New Delhi, India : 1994), 2020-02, Vol.151 (2), p.190-199 [Periódico revisado por pares]

India: Wolters Kluwer India Pvt. Ltd

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2
Estimation of the Transmission Risk of the 2019-nCoV and Its Implication for Public Health Interventions
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Estimation of the Transmission Risk of the 2019-nCoV and Its Implication for Public Health Interventions

Tang, Biao ; Wang, Xia ; Li, Qian ; Bragazzi, Nicola Luigi ; Tang, Sanyi ; Xiao, Yanni ; Wu, Jianhong

Journal of clinical medicine, 2020-02, Vol.9 (2), p.462 [Periódico revisado por pares]

Switzerland: MDPI AG

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3
Analysis of Caputo fractional-order model for COVID-19 with lockdown
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Analysis of Caputo fractional-order model for COVID-19 with lockdown

Ahmed, Idris ; Baba, Isa Abdullahi ; Yusuf, Abdullahi ; Kumam, Poom ; Kumam, Wiyada

Advances in difference equations, 2020-08, Vol.2020 (1), p.394-394, Article 394 [Periódico revisado por pares]

Cham: Springer International Publishing

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4
The dynamics of COVID-19 with quarantined and isolation
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The dynamics of COVID-19 with quarantined and isolation

Khan, Muhammad Altaf ; Atangana, Abdon ; Alzahrani, Ebraheem ; Fatmawati

Advances in difference equations, 2020-08, Vol.2020 (1), p.425-425, Article 425 [Periódico revisado por pares]

Cham: Springer International Publishing

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5
Early Prediction of the 2019 Novel Coronavirus Outbreak in the Mainland China Based on Simple Mathematical Model
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Early Prediction of the 2019 Novel Coronavirus Outbreak in the Mainland China Based on Simple Mathematical Model

Zhong, Linhao ; Mu, Lin ; Li, Jing ; Wang, Jiaying ; Yin, Zhe ; Liu, Darong

IEEE access, 2020-01, Vol.8, p.51761-51769 [Periódico revisado por pares]

United States: IEEE

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6
Analysis of the model of HIV-1 infection of CD4+ T-cell with a new approach of fractional derivative
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Analysis of the model of HIV-1 infection of CD4+ T-cell with a new approach of fractional derivative

Baleanu, Dumitru ; Mohammadi, Hakimeh ; Rezapour, Shahram

Advances in difference equations, 2020-02, Vol.2020 (1), Article 71 [Periódico revisado por pares]

Cham: Springer International Publishing

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7
Black-Box vs. White-Box: Understanding Their Advantages and Weaknesses From a Practical Point of View
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Black-Box vs. White-Box: Understanding Their Advantages and Weaknesses From a Practical Point of View

Loyola-Gonzalez, Octavio

IEEE access, 2019, Vol.7, p.154096-154113 [Periódico revisado por pares]

Piscataway: IEEE

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8
Modeling and forecasting the spread of COVID-19 with stochastic and deterministic approaches: Africa and Europe
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Modeling and forecasting the spread of COVID-19 with stochastic and deterministic approaches: Africa and Europe

Atangana, Abdon ; İğret Araz, Seda

Advances in difference equations, 2021-01, Vol.2021 (1), p.57-57, Article 57 [Periódico revisado por pares]

Cham: Springer International Publishing

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9
SEIR model for COVID-19 dynamics incorporating the environment and social distancing
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SEIR model for COVID-19 dynamics incorporating the environment and social distancing

Mwalili, Samuel ; Kimathi, Mark ; Ojiambo, Viona ; Gathungu, Duncan ; Mbogo, Rachel

BMC research notes, 2020-07, Vol.13 (1), p.352-5, Article 352 [Periódico revisado por pares]

England: BioMed Central Ltd

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10
STDP-Based Unsupervised Spike Pattern Learning in a Photonic Spiking Neural Network With VCSELs and VCSOAs
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STDP-Based Unsupervised Spike Pattern Learning in a Photonic Spiking Neural Network With VCSELs and VCSOAs

Xiang, Shuiying ; Zhang, Yahui ; Gong, Junkai ; Guo, Xingxing ; Lin, Lin ; Hao, Yue

IEEE journal of selected topics in quantum electronics, 2019-11, Vol.25 (6), p.1-9 [Periódico revisado por pares]

New York: IEEE

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