IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v346y2019icp219-243.html
   My bibliography  Save this article

Dynamics of a waterborne pathogen model under the influence of environmental pollution

Author

Listed:
  • Sharma, Sandeep
  • Kumari, Nitu

Abstract

A non-linear mathematical model is proposed and analyzed to capture the role of environmental pollution on the spread of waterborne diseases. We calculate the threshold quantity (i.e. the basic reproduction number) for the proposed model. It is observed that model possesses two equilibria, namely disease free equilibrium and endemic equilibrium. The disease free equilibrium is globally asymptotically stable when the basic reproduction number is less than or equal to one. If the basic reproduction number exceeds one then the disease persists and endemic equilibrium point is globally asymptotically stable under certain conditions. The conditions of global stability of the endemic equilibrium are obtained using the compound matrix. The dynamical study of our model provides a clear insight of the role of pollution on the spread of waterborne diseases. An increase in the size of infected population with increase in the stress related parameters demonstrates that environmental pollution increases the size of the epidemics. Despite the severity of the issue, little efforts have been made in this direction. We firmly believe that our study will bridge this gap and help the authorities forming policies to combat fatal waterborne diseases.

Suggested Citation

  • Sharma, Sandeep & Kumari, Nitu, 2019. "Dynamics of a waterborne pathogen model under the influence of environmental pollution," Applied Mathematics and Computation, Elsevier, vol. 346(C), pages 219-243.
  • Handle: RePEc:eee:apmaco:v:346:y:2019:i:c:p:219-243
    DOI: 10.1016/j.amc.2018.10.044
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S009630031830910X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2018.10.044?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gian-Reto Walther & Eric Post & Peter Convey & Annette Menzel & Camille Parmesan & Trevor J. C. Beebee & Jean-Marc Fromentin & Ove Hoegh-Guldberg & Franz Bairlein, 2002. "Ecological responses to recent climate change," Nature, Nature, vol. 416(6879), pages 389-395, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liao, Shi-Gen & Yi, Shu-Ping, 2021. "Modeling and analyzing knowledge transmission process considering free-riding behavior of knowledge acquisition: A waterborne disease approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 569(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mayeul Dalleau & Stéphane Ciccione & Jeanne A Mortimer & Julie Garnier & Simon Benhamou & Jérôme Bourjea, 2012. "Nesting Phenology of Marine Turtles: Insights from a Regional Comparative Analysis on Green Turtle (Chelonia mydas)," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-13, October.
    2. Monika Punia & Suman Nain & Amit Kumar & Bhupendra Singh & Amit Prakash & Krishan Kumar & V. Jain, 2015. "Analysis of temperature variability over north-west part of India for the period 1970–2000," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 935-952, January.
    3. Feng Dong & Chih-Ming Hung & Shou-Hsien Li & Xiao-Jun Yang, 2021. "Potential Himalayan community turnover through the Late Pleistocene," Climatic Change, Springer, vol. 164(1), pages 1-10, January.
    4. Chan, Nathan & Wichman, Casey, 2017. "The Effects of Climate on Leisure Demand: Evidence from North America," RFF Working Paper Series 17-20, Resources for the Future.
    5. Richter, Andries & Grasman, Johan, 2013. "The transmission of sustainable harvesting norms when agents are conditionally cooperative," Ecological Economics, Elsevier, vol. 93(C), pages 202-209.
    6. A. Kosanic & S. Harrison & K. Anderson & I. Kavcic, 2014. "Present and historical climate variability in South West England," Climatic Change, Springer, vol. 124(1), pages 221-237, May.
    7. Andrew J Allyn & Michael A Alexander & Bradley S Franklin & Felix Massiot-Granier & Andrew J Pershing & James D Scott & Katherine E Mills, 2020. "Comparing and synthesizing quantitative distribution models and qualitative vulnerability assessments to project marine species distributions under climate change," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-28, April.
    8. Nye, Janet A. & Gamble, Robert J. & Link, Jason S., 2013. "The relative impact of warming and removing top predators on the Northeast US large marine biotic community," Ecological Modelling, Elsevier, vol. 264(C), pages 157-168.
    9. Ernesto Azzurro & Paula Moschella & Francesc Maynou, 2011. "Tracking Signals of Change in Mediterranean Fish Diversity Based on Local Ecological Knowledge," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-8, September.
    10. Fei, Teng & Skidmore, Andrew K. & Venus, Valentijn & Wang, Tiejun & Toxopeus, Bert & Bian, Meng & Liu, Yaolin, 2012. "Predicting micro thermal habitat of lizards in a dynamic thermal environment," Ecological Modelling, Elsevier, vol. 231(C), pages 126-133.
    11. Ralf C Buckley & J Guy Castley & Fernanda de Vasconcellos Pegas & Alexa C Mossaz & Rochelle Steven, 2012. "A Population Accounting Approach to Assess Tourism Contributions to Conservation of IUCN-Redlisted Mammal Species," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-8, September.
    12. Aagaard, Kevin J. & Thogmartin, Wayne E. & Lonsdorf, Eric V., 2018. "Temperature-influenced energetics model for migrating waterfowl," Ecological Modelling, Elsevier, vol. 378(C), pages 46-58.
    13. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    14. Hu, Saiquan & Jia, Xiao & Zhang, Xiaojin & Zheng, Xiaoying & Zhu, Junming, 2017. "How political ideology affects climate perception: Moderation effects of time orientation and knowledge," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 124-131.
    15. Kim, Jung-Hun & Oh, Jeong-Ik & Tsang, Yiu Fai & Park, Young-Kwon & Lee, Jechan & Kwon, Eilhann E., 2020. "CO2-assisted catalytic pyrolysis of digestate with steel slag," Energy, Elsevier, vol. 191(C).
    16. Edward Kato & Claudia Ringler & Mahmud Yesuf & Elizabeth Bryan, 2011. "Soil and water conservation technologies: a buffer against production risk in the face of climate change? Insights from the Nile basin in Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 42(5), pages 593-604, September.
    17. Lazarus Chapungu & Luxon Nhamo & Roberto Cazzolla Gatti & Munyaradzi Chitakira, 2020. "Quantifying Changes in Plant Species Diversity in a Savanna Ecosystem Through Observed and Remotely Sensed Data," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
    18. Torres-Alruiz, Maria Daniela & Rodríguez, Diego J., 2013. "A topo-dynamical perspective to evaluate indirect interactions in trophic webs: New indexes," Ecological Modelling, Elsevier, vol. 250(C), pages 363-369.
    19. Ding, Helen & Nunes, Paulo A.L.D., 2014. "Modeling the links between biodiversity, ecosystem services and human wellbeing in the context of climate change: Results from an econometric analysis of the European forest ecosystems," Ecological Economics, Elsevier, vol. 97(C), pages 60-73.
    20. Hong Ying & Hongyan Zhang & Ying Sun & Jianjun Zhao & Zhengxiang Zhang & Xiaoyi Guo & Hang Zhao & Rihan Wu & Guorong Deng, 2020. "CMIP5-Based Spatiotemporal Changes of Extreme Temperature Events during 2021–2100 in Mainland China," Sustainability, MDPI, vol. 12(11), pages 1-18, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:apmaco:v:346:y:2019:i:c:p:219-243. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.