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Exploring the influence of burial and cremation practices on Nipah virus transmission: a SIRD model analysis

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Abstract

This paper proposes a SIRD model to investigate the impact of burial or cremation practices on the transmission dynamics of the Nipah virus, which is highly fatal and can spread rapidly through communities via contact with deceased bodies. An analysis is conducted to determine the stability of the disease-free and endemic equilibria and to compute the reproduction number. A comprehensive sensitivity analysis of the reproduction number is conducted to assess the effectiveness of different control measures. It has been found that avoiding unnecessary contact with infected or buried/cremated bodies can greatly reduce the transmission of viruses. Aditionally, an investigation is conducted on the stability conditions of Hyers–Ulam and Hyers–Ulam–Rassias, discuss existence and uniqueness conditions, and verify theoretical findings via MATLAB-based numerical simulations presenting graphical representations of the data. This analysis provides insightful information about potential treatments to slow the spread of the Nipah virus.

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Abbreviations

DFE:

Disease free equilibrium point

CFR:

Case fatality rate

PRCC:

Partial rank correlation coefficient

References

  • (2014) WHO. WHO-guideline-for-management prevention-and-control-of-nipah-virus-infection

  • (2018) Nipah virus outbreaks in the WHO, an overview. https://www.who.int/nipah-virus. Accessed on 30 May 2018

  • (2023) Gavi the vaccines allience. https://www.gavi.org/seven-things-you-need-know-about-nipah-virus. Accessed on 15 Sept 2023

  • (2023) Nipah virus outbreaks in the WHO bangladesh. https://www.who.int/nipah-virus-bangladesh. Accessed on 17 Feb 2023

  • Agarwal P, Singh R (2020) Modelling of transmission dynamics of Nipah virus (NIV): a fractional order approach. Physica A Stat Mech Appl 547:124243

    Article  Google Scholar 

  • Al-Raeei M (2022) Numerical simulation of the force of infection and the typical times of SARS-COV-2 disease for different location countries. Model Earth Syst Environ 8(1):1443–1448

    Article  Google Scholar 

  • Ambat AS, Zubair SM, Prasad N, Pundir P, Rajwar E, Patil DS, Mangad P (2019) Nipah virus: a review on epidemiological characteristics and outbreaks to inform public health decision making. J Infect Public Health 12(5):634–639

    Article  Google Scholar 

  • Ang BS, Lim TC, Wang L (2018) Nipah virus infection. J Clin Microbiol 56(6):10–1128

    Article  Google Scholar 

  • Atangana A, Qureshi S (2019) Modeling attractors of chaotic dynamical systems with fractal-fractional operators. Chaos Solitons Fractals 123:320–337

    Article  Google Scholar 

  • Augustyniak A, Pomorska-Mól M (2023) An update in knowledge of pigs as the source of zoonotic pathogens. Animals 13(20):3281

    Article  Google Scholar 

  • Bandekar SR, Ghosh M (2022) Mathematical modeling of Covid-19 in India and its states with optimal control. Model Earth Syst Environ 8(2):2019–2034

    Article  Google Scholar 

  • Berhe HW, Makinde OD, Theuri DM et al (2019) Parameter estimation and sensitivity analysis of dysentery diarrhea epidemic model. J Appl Math 2019

  • Biswas M (2012) Model and control strategy of the deadly Nipah virus (NIV) infections in Bangladesh. Res Rev Biosci 6(12):370–377

    CAS  Google Scholar 

  • Biswas M (2014) Optimal control of Nipah virus (NIV) infections: a Bangladesh scenario. J Pure Appl Math Adv Appl 12(1):77–104

    Google Scholar 

  • Biswas MHA, Haque MM, Duvvuru G (2015) A mathematical model for understanding the spread of Nipah fever epidemic in Bangladesh. In: 2015 international conference on industrial engineering and operations management (IEOM). IEEE, pp 1–8

  • Bossart KN, Broder CC (2006) Developments towards effective treatments for Nipah and Hendra virus infection. Expert Rev Anti Infect Ther 4(1):43–55

    Article  CAS  Google Scholar 

  • Castillo-Chavez C, Song B (2004) Dynamical models of tuberculosis and their applications. Math Biosci Eng 1(2):361–404

    Article  Google Scholar 

  • Chadha MS, Comer JA, Lowe L, Rota PA, Rollin PE, Bellini WJ, Ksiazek TG, Mishra AC (2006) Nipah virus-associated encephalitis outbreak, Siliguri, India. Emerg Infect Dis 12(2):235

    Article  Google Scholar 

  • Chakraborty A, Sazzad H, Hossain M, Islam M, Parveen S, Husain M, Banu S, Podder G, Afroj S, Rollin P et al (2016) Evolving epidemiology of Nipah virus infection in Bangladesh: evidence from outbreaks during 2010–2011. Epidemiol Infect 144(2):371–380

    Article  CAS  Google Scholar 

  • Chanchal DK, Alok S, Sabharwal M, Bijauliya RK, Rashi S (2018) Nipah: silently rising infection. Int J Pharm Sci Res 9(8):3128–3135

    Google Scholar 

  • Chattu VK, Kumar R, Kumary S, Kajal F, David JK (2018) Nipah virus epidemic in southern India and emphasizing “one health’’ approach to ensure global health security. J Fam Med Primary Care 7(2):275

    Article  Google Scholar 

  • Chua KB, Goh KJ, Wong KT, Kamarulzaman A, Tan PSK, Ksiazek TG, Zaki SR, Paul G, Lam SK, Tan CT (1999) Fatal encephalitis due to Nipah virus among pig-farmers in Malaysia. Lancet 354(9186):1257–1259

    Article  CAS  Google Scholar 

  • Chua K, Bellini W, Rota P, Harcourt B, Tamin A, Lam S, Ksiazek T, Rollin P, Zaki S, Shieh W-J et al (2000) Nipah virus: a recently emergent deadly paramyxovirus. Science 288(5470):1432–1435

    Article  CAS  Google Scholar 

  • Clayton BA (2017) Nipah virus: transmission of a zoonotic paramyxovirus. Curr Opin Virol 22:97–104

    Article  CAS  Google Scholar 

  • Ganiny S, Nisar O (2021) Mathematical modeling and a month ahead forecast of the coronavirus disease 2019 (Covid-19) pandemic: an Indian scenario. Model Earth Syst Environ 7(1):29–40

    Article  Google Scholar 

  • Gurley ES, Montgomery JM, Hossain MJ, Bell M, Azad AK, Islam MR, Molla MAR, Carroll DS, Ksiazek TG, Rota PA et al (2007) Person-to-person transmission of Nipah virus in a Bangladeshi community. Emerg Infect Dis 13(7):1031

    Article  Google Scholar 

  • Halpin K, Hyatt AD, Fogarty R, Middleton D, Bingham J, Epstein JH, Rahman SA, Hughes T, Smith C, Field HE et al (2011) Pteropid bats are confirmed as the reservoir hosts of Henipaviruses: a comprehensive experimental study of virus transmission. Am J Trop Med Hyg 85(5):946

    Article  Google Scholar 

  • Harcourt BH, Tamin A, Ksiazek TG, Rollin PE, Anderson LJ, Bellini WJ, Rota PA (2000) Molecular characterization of Nipah virus, a newly emergent paramyxovirus. Virology 271(2):334–349

    Article  CAS  Google Scholar 

  • Hayman DT, Johnson N (2014) Nipah virus: a virus with multiple pathways of emergence. The role of animals in emerging viral diseases. Elsevier, Amsterdam, pp 293–315

    Chapter  Google Scholar 

  • Johnson K, Vu M, Freiberg AN (2021) Recent advances in combating Nipah virus. Fac Rev 10

  • Kaku Y (2004) Nipah virus infection. Uirusu 54(2):237–242

    Article  Google Scholar 

  • Kaku Y et al (2009) Nipah virus infection-zoonosis among wild animals, domestic animals and humans. J Disaster Res 4(5):309–314

    Article  Google Scholar 

  • Mondal MK, Hanif M, Biswas MHA (2017) A mathematical analysis for controlling the spread of Nipah virus infection. Int J Model Simul 37(3):185–197

    Article  Google Scholar 

  • Montgomery JM, Hossain MJ, Gurley E, Carroll D, Croisier A, Bertherat E, Asgari N, Formenty P, Keeler N, Comer J et al (2008) Risk factors for Nipah virus encephalitis in Bangladesh. Emerg Infect Dis 14(10):1526

    Article  Google Scholar 

  • Naga Soundarya Lakshmi V, Sabarmathi A (2022) Dynamics of seir model of Nipah virus. In: Recent advances in applied mathematics and applications to the dynamics of fluid flows: 5th international conference on applications of fluid dynamics (ICAFD) 2020. Springer, pp 273–284

  • Nita H, Niketa D, Foram A, Moksha H (2018) Control strategies for Nipah virus. Int J Appl Eng Res 13(21):15149–15163

    Google Scholar 

  • Park C (2020) Traditional funeral and burial rituals and Ebola outbreaks in West Africa: a narrative review of causes and strategy interventions. J Health Soc Sci 5(1):073

    Google Scholar 

  • Paton NI, Leo YS, Zaki SR, Auchus AP, Lee KE, Ling AE, Chew SK, Ang B, Rollin PE, Umapathi T et al (1999) Outbreak of Nipah-virus infection among abattoir workers in Singapore. Lancet 354(9186):1253–1256

    Article  CAS  Google Scholar 

  • Peter OJ, Kumar S, Kumari N, Oguntolu FA, Oshinubi K, Musa R (2022) Transmission dynamics of monkeypox virus: a mathematical modelling approach. Model Earth Syst Environ 1–12

  • Peter OJ, Qureshi S, Ojo MM, Viriyapong R, Soomro A (2023) Mathematical dynamics of measles transmission with real data from Pakistan. Model Earth Syst Environ 9(2):1545–1558

    Article  Google Scholar 

  • Rodriguez-Dod EC, Marty AM, Marty-Nelson EM (2016) Tears in heaven: religiously and culturally sensitive laws for preventing the next pandemic. Cath Univ Law Rev 66:117

    Google Scholar 

  • Sazzad HM, Hossain MJ, Gurley ES, Ameen KM, Parveen S, Islam MS, Faruque LI, Podder G, Banu SS, Lo MK et al (2013) Nipah virus infection outbreak with nosocomial and corpse-to-human transmission, Bangladesh. Emerg Infect Dis 19(2):210

    Article  Google Scholar 

  • Shah NH, Suthar AH, Thakkar FA, Satia MH (2018) Sei-model for transmission of Nipah virus. J Math Comput Sci 8(6):714–730

    Google Scholar 

  • Sinha D, Sinha A (2019) Mathematical model of zoonotic Nipah virus in South-East Asia region. Acta Scientific Microbiol 2(9):82–89

    Google Scholar 

  • Soltan MA, Eldeen MA, Elbassiouny N, Mohamed I, El-Damasy DA, Fayad E, Abu Ali OA, Raafat N, Eid RA, Al-Karmalawy AA (2021) Proteome based approach defines candidates for designing a multitope vaccine against the Nipah virus. Int J Mol Sci 22(17):9330

    Article  CAS  Google Scholar 

  • Sultana J, Podder CN et al (2016) Mathematical analysis of Nipah virus infections using optimal control theory. J Appl Math Phys 4(06):1099

    Article  Google Scholar 

  • WHO (2023) Nipah virus outbreaks in the who south-East Asia region. Searo

  • Wong KT, Shieh W-J, Kumar S, Norain K, Abdullah W, Guarner J, Goldsmith CS, Chua KB, Lam SK, Tan CT et al (2002) Nipah virus infection: pathology and pathogenesis of an emerging paramyxoviral zoonosis. Am J Pathol 161(6):2153–2167

    Article  Google Scholar 

  • Zewdie AD, Gakkhar S (2020) A mathematical model for Nipah virus infection. J Appl Math 2020:1–10

    Article  Google Scholar 

  • Zewdie AD, Gakkhar S, Gupta SK (2023) Human–animal Nipah virus transmission: model analysis and optimal control. Int J Dyn Control 11(4):1974–1994

    Article  Google Scholar 

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Acknowledgements

We would like to express our appreciation to the anonymous reviewers of the paper.

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Authors and Affiliations

  1. Department of Mathematics, Government College University, Faisalabad, 38000, Pakistan

    Khadija Tul Kubra, Samra Gulshan & Rooh Ali

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  1. Khadija Tul Kubra
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  2. Samra Gulshan
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  3. Rooh Ali
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The authors contributed equally in this paper. All authors have read and approved the final version of manuscript.

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Correspondence to Rooh Ali.

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Kubra, K.T., Gulshan, S. & Ali, R. Exploring the influence of burial and cremation practices on Nipah virus transmission: a SIRD model analysis. Model. Earth Syst. Environ. (2024). https://doi.org/10.1007/s40808-024-02024-0

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