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image of Outbreak Transmission of Coronavirus- A Case Study

Abstract

Introduction

The COVID-19 pandemic, originating in Wuhan, China, swiftly spread globally, wreaking havoc on both personal lives and economic stability.

Method

Its highly contagious nature, transmitted through human contact, necessitated urgent government interventions worldwide. Measures such as quarantine, social distancing, and lockdowns, alongside medical awareness campaigns, were earnestly adopted to mitigate its impact.

Results

While the development of a cure remains a time- consuming endeavor, the focus has shifted towards prevention through diverse strategies, explored in this study.

Conclusion

Presenting a stochastic model, this paper aims to analyze the percentage of affected individuals across various factors, highlighting the efficacy of lockdown measures at different intervals.

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2024-12-23
2025-04-25

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References

  1. M Linton Natalie Incubation period and other epidemiological characteristics of 2019 novel coronavirus infections with right truncation: A statistical analysis of publicly available case data J Clin Med. 2020 9 2 538 10.3390/jcm9020538
    [Google Scholar]
  2. Kucharski A.J. Russell T.W. Diamond C. Liu Y. Edmunds J. Funk S. Eggo R.M. Sun F. Jit M. Munday J.D. Davies N. Gimma A. van Zandvoort K. Gibbs H. Hellewell J. Jarvis C.I. Clifford S. Quilty B.J. Bosse N.I. Abbott S. Klepac P. Flasche S. Early dynamics of transmission and control of COVID-19: A mathematical modelling study. Lancet Infect. Dis. 2020 20 5 553 558 10.1016/S1473‑3099(20)30144‑4 32171059
    [Google Scholar]
  3. Rothan H.A. Byrareddy S.N. The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak. J. Autoimmun. 2020 109 102433 10.1016/j.jaut.2020.102433 32113704
    [Google Scholar]
  4. Kozielski M. Henzel J. Tobiasz J. Gruca A. Foszner P. Zyla J. Bach M. Werner A. Jaroszewicz J. Polańska J. Sikora M. Enhancement of COVID-19 symptom-based screening with quality-based classifier optimisation. Bull. Pol. Acad. Sci. Tech. Sci. 2021 69 4 137349 10.24425/bpasts.2021.137349
    [Google Scholar]
  5. Shereen M.A. Khan S. Kazmi A. Bashir N. Siddique R. COVID-19 infection: Emergence, transmission, and characteristics of human coronaviruses. J. Adv. Res. 2020 24 91 98 10.1016/j.jare.2020.03.005 32257431
    [Google Scholar]
  6. Zhang S. Diao M. Yu W. Pei L. Lin Z. Chen D. Estimation of the reproductive number of novel coronavirus (COVID-19) and the probable outbreak size on the Diamond Princess cruise ship: A data-driven analysis. Int. J. Infect. Dis. 2020 93 201 204 10.1016/j.ijid.2020.02.033 32097725
    [Google Scholar]
  7. Liu Y. Gayle A.A. Wilder-Smith A. Rocklöv J. The reproductive number of COVID-19 is higher compared to SARS coronavirus. J. Travel Med. 2020 27 2 taaa021 10.1093/jtm/taaa021 32052846
    [Google Scholar]
  8. Kobayashi Tetsuro Communicating the risk of death from novel coronavirus disease (COVID-19). J Clin Med. 2020 9 2 580 10.3390/jcm9020580
    [Google Scholar]
  9. Yang D. He Y. Wu B. Deng Y. Li M. Yang Q. Huang L. Cao Y. Liu Y. Drinking water and sanitation conditions are associated with the risk of malaria among children under five years old in sub-Saharan Africa: A logistic regression model analysis of national survey data. J. Adv. Res. 2020 21 1 13 10.1016/j.jare.2019.09.001 31641533
    [Google Scholar]
  10. Jung SM Real-time estimation of the risk of death from novel coronavirus (COVID-19) Infection: Inference using exported cases J Clin Med. 2020 9 2 523
    [Google Scholar]
  11. DD Hamish When a system breaks: A queuing theory model for the number of intensive care beds needed during the COVID-19 pandemic. The Medical Journal of Australia. 2020
    [Google Scholar]
  12. Baud D. Qi X. Nielsen-Saines K. Musso D. Pomar L. Favre G. Real estimates of mortality following COVID-19 infection. Lancet Infect. Dis. 2020 20 7 773 10.1016/S1473‑3099(20)30195‑X 32171390
    [Google Scholar]
  13. van der Hoek L. Pyrc K. Jebbink M.F. Vermeulen-Oost W. Berkhout R.J.M. Wolthers K.C. Wertheim-van Dillen P.M.E. Kaandorp J. Spaargaren J. Berkhout B. Identification of a new human coronavirus. Nat. Med. 2004 10 4 368 373 10.1038/nm1024 15034574
    [Google Scholar]
  14. Mitrani I. Chakka R. Spectral expansion solution for a class of Markov models: Application and comparison with the matrix-geometric method. Perform. Eval. 1995 23 3 241 260 10.1016/0166‑5316(94)00025‑F
    [Google Scholar]
  15. Saritha S. Mamatha E. Reddy C.S. Performance measures of online warehouse service system with replenishment policy. JESA. 2019 52 6 631 638 10.18280/jesa.520611
    [Google Scholar]
  16. Mamatha S. Mathematical Modelling and Performance Analysis of Single Server Queuing System in press [International Journal of Mathematics in Operational Research.].
    [Google Scholar]
  17. Saritha S. Mamatha E. Reddy C.S. Anand K. A model for compound poisson process queuing system with batch arrivals and services. JESA 2019 53 81 86
    [Google Scholar]
  18. Jamroga W. Mestel D. Roenne P. B. Ryan P. Y. Skrobot M. A survey of requirements for COVID-19 mitigation strategies Bull. Pol. Acad. Sci. Tech. Sci. 2021 137724 137724
    [Google Scholar]
  19. Saeverot H. Meeting the challenges of existential threats through educational innovation. Education, Environment & Agriculture, Environment and Sustainability, Health and Social Care Routledge London 2021 1st Edition 10.4324/9781003019480
    [Google Scholar]
  20. Muslu L. Kolutek R. Fidan G. Experiences of COVID ‐19 survivors: A qualitative study based on watson’s theory of human caring. Nurs. Health Sci. 2022 24 3 774 784 10.1111/nhs.12979 35899855
    [Google Scholar]
  21. Alarcón M. Espinoza C. The immune response to SARS-CoV-2: Mechanisms, aging, sequelae, and vaccines. Mini Rev. Med. Chem. 2022 22 16 2166 2185 10.2174/1389557522666220304231537 35249484
    [Google Scholar]
  22. Lu Si-Yuan Microorganisms in chemotherapy for pancreatic cancer: An overview of current research and future directions. Int J Biol Sci. 2021 17 10 2666 2682 10.7150/ijbs.59117
    [Google Scholar]
  23. Velásquez P.A. Hernandez J. Galeano E. Hincapié-García J. Rugeles M. Zapata-Builes W. Effectiveness of drug repurposing and natural products against SARS-CoV-2: A comprehensive review. Clin. Pharmacol. 2024 16 1 25 10.2147/CPAA.S429064 38197085
    [Google Scholar]
  24. Marrone A. Nevola R. Sellitto A. Cozzolino D. Romano C. Cuomo G. Aprea C. Schwartzbaum M.X.P. Ricozzi C. Imbriani S. Rinaldi L. Gjeloshi K. Padula A. Ranieri R. Ruosi C. Meo L.A. Abitabile M. Cinone F. Carusone C. Adinolfi L.E. Remdesivir plus dexamethasone versus dexamethasone alone for the treatment of coronavirus disease 2019 (COVID-19) patients requiring supplemental O2 therapy: A prospective controlled nonrandomized study. Clin. Infect. Dis. 2022 75 1 e403 e409 10.1093/cid/ciac014 35084022
    [Google Scholar]
  25. Briz-Redón Álvaro Serrano-Aroca Ángel The effect of climate on the spread of the COVID-19 pandemic: A review of findings, and statistical and modelling techniques. Prog. Phys. Geogr Earth Environ 2020 44 5 591 604 10.1177/0309133320946302
    [Google Scholar]
  26. Adiga A. Dubhashi D. Lewis B. Marathe M. Venkatramanan S. Vullikanti A. Mathematical models for covid-19 pandemic: A comparative analysis. J. Indian Inst. Sci. 2020 100 4 793 807 10.1007/s41745‑020‑00200‑6 33144763
    [Google Scholar]
  27. Viguerie A. Lorenzo G. Auricchio F. Baroli D. Hughes T.J.R. Patton A. Reali A. Yankeelov T.E. Veneziani A. Simulating the spread of COVID-19 via a spatially-resolved susceptible–exposed–infected–recovered–deceased (SEIRD) model with heterogeneous diffusion. Appl. Math. Lett. 2021 111 106617 10.1016/j.aml.2020.106617 32834475
    [Google Scholar]
  28. Jawa T.M. Logistic regression analysis for studying the impact of home quarantine on psychological health during COVID-19 in Saudi Arabia. Alex. Eng. J. 2022 61 10 7995 8005 10.1016/j.aej.2022.01.047
    [Google Scholar]
  29. Lindström Tom Tildesley Michael Webb Colleen A Bayesian ensemble approach for epidemiological projections. PLoS Comput Biol. 2015 11 4 e1004187 10.1371/journal.pcbi.1004187
    [Google Scholar]
  30. Doja M.N. Kaur I. Ahmad T. Current state of the art for survival prediction in cancer using data mining techniques. Curr. Bioinform. 2020 15 3 174 186 10.2174/1574893614666190902152142
    [Google Scholar]
  31. Zhang Y. Mapping the landscape of COVID-19 crisis visualizations. CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems NY, USA,2021, p.1-23 10.1145/3411764.3445381
    [Google Scholar]
  32. Praharaj Sarbeswar Solis Patricia Wentz Elizabeth A. Deploying geospatial visualization dashboards to combat the socioeconomic impacts of COVID19. Environ Plan B Urban Anal City Sci. 2023 50 5 1262 1279
    [Google Scholar]
  33. Khede M.K. Saxena A.K. Nandi S. Natural S.T.I. Khede M.K. Saxena A.K. Nandi S. Natural sourced traditional indian and chinese medicines to combat COVID-19. Pharm. Target. Coronaviruses. 2022 1 138 157 10.2174/9789815051308122010006
    [Google Scholar]
  34. Nandi S. Kumar M. Saxena M. Saxena A.K. The antiviral and antimalarial drug repurposing in quest of chemotherapeutics to combat COVID-19 utilizing structure-based molecular docking. Comb. Chem. High Throughput Screen. 2021 24 7 1055 1068 10.2174/1386207323999200824115536 32838713
    [Google Scholar]
  35. Nandi S. Nayak B.S. Khede M.K. Saxena A.K. Repurposing of chemotherapeutics to combat COVID-19. Curr. Top. Med. Chem. 2022 22 32 2660 2694 10.2174/1568026623666221130142517 36453483
    [Google Scholar]
  36. da Cunha L.N.O.L. Tizziani T. Souza G.B. Moreira M.A. Neto J.S.S. dos Santos C.V.D. de Carvalho M.G. Dalmarco E.M. Turqueti L.B. Scotti M.T. Scotti L. de Assis F.F. Braga A.L. Sandjo L.P. Natural products with tandem anti-inflammatory, immunomodulatory and anti-SARS-CoV/2 effects: A drug discovery perspective against SARS-CoV-2. Curr. Med. Chem. 2022 29 14 2530 2564 10.2174/0929867328666210726094955 34313197
    [Google Scholar]
/content/journals/covid/10.2174/0126667975334941241209175606
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Outbreak Transmission of Coronavirus- A Case Study
Bentham Science Publishers ; https://doi.org/10.2174/0126667975334941241209175606
/content/journals/covid/10.2174/0126667975334941241209175606
/content/journals/covid/10.2174/0126667975334941241209175606
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  • Article Type:     Research Article
Keywords: quarantine ; Markov process ; management strategies ; queuing system

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