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Modelling the Spreading Pattern and Prevention Strategies of COVID-19 in Nigeria

Abiodun Daniel Olabode1 , Ibrahim Zakariyya Musa2 , Shamsuddeen Ahmad Sabo3 , Muhammad Bello Sambo4

Section:Research Paper, Product Type: Journal Paper
Volume-8 , Issue-7 , Page no. 1-7, Jul-2020

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v8i7.17

Online published on Jul 31, 2020

Copyright © Abiodun Daniel Olabode, Ibrahim Zakariyya Musa, Shamsuddeen Ahmad Sabo, Muhammad Bello Sambo . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Abiodun Daniel Olabode, Ibrahim Zakariyya Musa, Shamsuddeen Ahmad Sabo, Muhammad Bello Sambo, “Modelling the Spreading Pattern and Prevention Strategies of COVID-19 in Nigeria,” International Journal of Computer Sciences and Engineering, Vol.8, Issue.7, pp.1-7, 2020.

MLA Style Citation: Abiodun Daniel Olabode, Ibrahim Zakariyya Musa, Shamsuddeen Ahmad Sabo, Muhammad Bello Sambo "Modelling the Spreading Pattern and Prevention Strategies of COVID-19 in Nigeria." International Journal of Computer Sciences and Engineering 8.7 (2020): 1-7.

APA Style Citation: Abiodun Daniel Olabode, Ibrahim Zakariyya Musa, Shamsuddeen Ahmad Sabo, Muhammad Bello Sambo, (2020). Modelling the Spreading Pattern and Prevention Strategies of COVID-19 in Nigeria. International Journal of Computer Sciences and Engineering, 8(7), 1-7.

BibTex Style Citation:
@article{Olabode_2020,
author = {Abiodun Daniel Olabode, Ibrahim Zakariyya Musa, Shamsuddeen Ahmad Sabo, Muhammad Bello Sambo},
title = {Modelling the Spreading Pattern and Prevention Strategies of COVID-19 in Nigeria},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2020},
volume = {8},
Issue = {7},
month = {7},
year = {2020},
issn = {2347-2693},
pages = {1-7},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5157},
doi = {https://doi.org/10.26438/ijcse/v8i7.17}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v8i7.17}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5157
TI - Modelling the Spreading Pattern and Prevention Strategies of COVID-19 in Nigeria
T2 - International Journal of Computer Sciences and Engineering
AU - Abiodun Daniel Olabode, Ibrahim Zakariyya Musa, Shamsuddeen Ahmad Sabo, Muhammad Bello Sambo
PY - 2020
DA - 2020/07/31
PB - IJCSE, Indore, INDIA
SP - 1-7
IS - 7
VL - 8
SN - 2347-2693
ER -

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Abstract

It is obvious that the World right now is in the stagnant position due to COVID-19. The problem of this pandemic is its mode of transmission from person to person on daily basis. This study aims at modelling the spreading pattern of the disease in Nigeria with a view to understanding how the spread can be curbed. Secondary data collected from Nigerian Center for Disease Control (NCDC) between 29th Feb 2020 and 30th May 2020 were used. These daily data were further grouped into 14 weekly data. Parameters like number of suspected persons, the number of people quarantined and the total number of active cases were used to develop the model thus; the undetected infected people were termed as Hidden nodes (d) defined as d_i=x_i-q_i , where: x_i is the suspected case of period i and q_iis the number of infected people that were isolated in period i. Each undetected infected person d (hidden node) can infect t several people in a given time (day, week or month), also those infected that show symptoms will also be fished out, tested and isolated if they were positive will be recorded as q. This model has established the maximum number of days to be spent in a lockdown period, given a certain number of confirmed cases to control the spread of the disease

Key-Words / Index Term

Modelling, Hidden nodes, COVID-19, NCDC, pandemic, coronavirus

References

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