Skip to main content
SpringerLink
Log in

Mathematical Modelling of COVID-19 in Pregnant Women and Newly Borns

  • Conference paper
  • First Online:
Mathematical Analysis for Transmission of COVID-19

Part of the book series: Mathematical Engineering ((MATHENGIN))

  • 507 Accesses

Abstract

Enlightened by the Coronavirus, the present paper deals with a mathematical model of COVID-19 to investigate the impact of S-I-R-M model on the pregnant women and the newly borns due to the influence of availability of suitable conditions. The rates of infection, rate of recovery, rate of mortality for pregnant women before and after delivery and for newly born babies due to the transmission rate have been discussed for the present observed data. The numerical illustrations have been carried out for the parameters, functions and represented graphically by MATHEMATICA Software. Moreover some comparisons have been shown in the figure to estimate the impact of susceptible conditions and represent the particular cases of S-I-R-M model.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. https://swachhindia.ndtv.com/pregnancy-in-the-times-of-a-pandemic-what-impact-can-covid-19-have-on-moms-to-be-and-babies-44304/.

  2. Lamba, N. K., Warbhe, S. D., & Deshmukh, K. C. (2020). Study of COVID-19 in India: A-mathematical model. Journal of Interdisciplinary Mathematics.

    Google Scholar 

  3. Warbhe, S. D., Lamba, N. K., & Deshmukh, K. C. (2020). Impact of COVID-19: A mathematical model. Journal of Interdisciplinary Mathematics.

    Google Scholar 

  4. Ndairou, F., Area, I., Nieto, J. J., & Delfim Torres, F.M. (2020). Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan. Chaos Solitons Fractals, 135, 109846. https://doi.org/10.1016/j.chaos.2020.109846.

  5. Ivorra, B., Ferrandez, M. R., Vela-Perez, M., & Ramos, A. M. (2020). Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China (pp.1–29). https://doi.org/10.13140/RG.2.2.21543.29604.

  6. Li, Y., Wang, B., Peng, R., Zhou, C., Zhan, Y., Liu, Z., et al. (2020). Mathematical modeling and epidemic prediction of COVID-19 and its significance to epidemic prevention and control measures. Annals of Infectious Disease and Epidemiology, 5(1), 1052.

    Google Scholar 

  7. Bhola, J., Venkateswaran, V., & Koul, M. (2020). Corona epidemic in India context: Predictive mathematical modelling. https://doi.org/10.1101/2020.04.03.20047175.

  8. Cakir, Z., & Savas, H. B. (2020). Mathematical modelling approach in the spread of the Novel 2019 Coronavirus SARS-CoV-2(COVID-19) pandemic. Electronic Journal of General Medicine, 17(4), em205.

    Google Scholar 

  9. Mbae, N. (2020). COVID-19 in Kenya. Electronic Journal of General Medicine, 17(6), em231.

    Google Scholar 

  10. Santacroce, L., Charitos, I. A., & Prete, R. D. (2020). COVID-19 in Italy: An overview from the first case to date. Electronic Journal of General Medicine, 17(6), em235.

    Google Scholar 

  11. Shaikh, A. S., Shaikh, I. N., & Nisar, K. S. (2020). A Mathematical Model of COVID-19 using fractional derivative: Outbreak in India with dynamics of transmission and control. https://doi.org/10.20944/preprints202004.0140.v1.

  12. Thevarajan, I., Nguyen, T. H., Koutsakos, M., et al. (2020). Breadth of concomitant immune responses prior to patient recovery: a case report of non-severe COVID-19. Nature Medicine, 1–3.

    Google Scholar 

  13. Riou, J., & Althaus, C. L. (2020). Pattern of early human-to-human transmission of Wuhan 2019 novel coronavirus (2019-nCoV), December 2019 to January 2020. Eurosurveillance, 25(4).

    Google Scholar 

  14. Sahin, A. R., Erdogan, A., Agaoglu, P. M., et al. (2020). 2019 novel coronavirus (COVID-19) outbreak: A review of the current literature. EJMO, 4(1), 1–7.

    Google Scholar 

  15. Cheng, Z. J., & Shan, J. (2020). 2019 Novel coronavirus: Where we are and what we know. Infection, 48(2), 1–9.

    Article  MathSciNet  Google Scholar 

  16. Buncombe, A. (2020, March 28). Coronavirus: Baby dies after testing positive for Covid-19 in US. News in Independent.co.uk. https://www.independent.co.uk/news/world/americas/coronavirus-latest-baby-dies-first-infant-death-us-chicago-illinois-a9432096.html.

  17. Miller, K. (2020, May 29s). What to know about coronavirus if you’re pregnant. whattoexpect.com. https://www.whattoexpect.com/news/pregnancy/coronavirus-during-pregnancy.

  18. Biswas, S. (2020, May 29). Mumbai: India hospital delivers 100 babies from Covid-19 mums. BBC News. https://www.bbc.com/news/world-asia-india-52693987.

Download references

Conflicts of Interest

The authors declare that we have no potential conflicts of interest with respect to the research, authorship and publication of this article.

Author information

Authors and Affiliations

  1. Department of Mathematics, S.L.P.M. Mandhal, R.T.M. Nagpur University, Maharashtra, India

    Navneet Kumar Lamba

  2. Department of Mathematics, Laxminarayan Institute of Technology, R.T.M. Nagpur University, Maharashtra, India

    Shrikant D. Warbhe

  3. Department of Mathematics, R.T.M. Nagpur University, Nagpur, India

    Kishor C. Deshmukh

Authors
  1. Navneet Kumar Lamba
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shrikant D. Warbhe
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Kishor C. Deshmukh
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Navneet Kumar Lamba .

Editor information

Editors and Affiliations

  1. Satellite Center, Ahmedabad, Gujarat, India

    Nita H. Shah

  2. Department of Mathematics, Amity Institute of Applied Sciences, Noida, Uttar Pradesh, India

    Mandeep Mittal

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lamba, N.K., Warbhe, S.D., Deshmukh, K.C. (2021). Mathematical Modelling of COVID-19 in Pregnant Women and Newly Borns. In: Shah, N.H., Mittal, M. (eds) Mathematical Analysis for Transmission of COVID-19. Mathematical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-33-6264-2_18

Download citation

  • DOI: https://doi.org/10.1007/978-981-33-6264-2_18

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-6263-5

  • Online ISBN: 978-981-33-6264-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation