IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0228540.html
   My bibliography  Save this article

Assessment of environmental variability on malaria transmission in a malaria-endemic rural dry zone locality of Sri Lanka: The wavelet approach

Author

Listed:
  • Rahini Mahendran
  • Sisira Pathirana
  • Ilangamage Thilini Sashika Piyatilake
  • Shyam Sanjeewa Nishantha Perera
  • Manuj Chrishantha Weerasinghe

Abstract

Malaria is a global public health concern and its dynamic transmission is still a complex process. Malaria transmission largely depends on various factors, including demography, geography, vector dynamics, parasite reservoir, and climate. The dynamic behaviour of malaria transmission has been explained using various statistical and mathematical methods. Of them, wavelet analysis is a powerful mathematical technique used in analysing rapidly changing time-series to understand disease processes in a more holistic way. The current study is aimed at identifying the pattern of malaria transmission and its variability with environmental factors in Kataragama, a malaria-endemic dry zone locality of Sri Lanka, using a wavelet approach. Monthly environmental data including total rainfall and mean water flow of the “Menik Ganga” river; mean temperature, mean minimum and maximum temperatures and mean relative humidity; and malaria cases in the Kataragama Medical Officer of Health (MOH) area were obtained from the Department of Irrigation, Department of Meteorology and Malaria Research Unit (MRU) of University of Colombo, respectively, for the period 1990 to 2005. Wavelet theory was applied to analyze these monthly time series data. There were two significant periodicities in malaria cases during the period of 1992–1995 and 1999–2000. The cross-wavelet power spectrums revealed an anti-phase correlation of malaria cases with mean temperature, minimum temperature, and water flow of “Menik Ganga” river during the period 1991–1995, while the in-phase correlation with rainfall is noticeable only during 1991–1992. Relative humidity was similarly associated with malaria cases between 1991–1992. It appears that environmental variables have contributed to a higher incidence of malaria cases in Kataragama in different time periods between 1990 and 2005.

Suggested Citation

  • Rahini Mahendran & Sisira Pathirana & Ilangamage Thilini Sashika Piyatilake & Shyam Sanjeewa Nishantha Perera & Manuj Chrishantha Weerasinghe, 2020. "Assessment of environmental variability on malaria transmission in a malaria-endemic rural dry zone locality of Sri Lanka: The wavelet approach," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-15, February.
    • Handle: RePEc:plo:pone00:0228540
    DOI: 10.1371/journal.pone.0228540
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0228540
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0228540&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0228540?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
    ---><---

    References listed on IDEAS

    as
    1. Luís Francisco Aguiar & Maria Joana Soares, 2010. "The Continuous Wavelet Transform: A Primer," NIPE Working Papers 23/2010, NIPE - Universidade do Minho.
    2. Brown, Peter J., 1986. "Socioeconomic and demographic effects of malaria eradication: A comparison of Sri Lanka and Sardinia," Social Science & Medicine, Elsevier, vol. 22(8), pages 847-859, January.
    Full references (including those not matched with items on IDEAS)

    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. Lubos Hanus & Lukas Vacha, 2015. "Business cycle synchronization of the Visegrad Four and the European Union," Working Papers IES 2015/19, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2015.
    2. Peter Martey Addo & Monica Billio & Dominique Guegan, 2012. "Alternative Methodology for Turning-Point Detection in Business Cycle : A Wavelet Approach," Post-Print halshs-00694420, HAL.
    3. Chima, Reginald Ikechukwu & Goodman, Catherine A. & Mills, Anne, 2003. "The economic impact of malaria in Africa: a critical review of the evidence," Health Policy, Elsevier, vol. 63(1), pages 17-36, January.
    4. Boako, Gideon & Alagidede, Paul, 2017. "Co-movement of Africa’s equity markets: Regional and global analysis in the frequency–time domains," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 359-380.
    5. Ying Fan & Abdullah Yavas, 2023. "Price Dynamics in Public and Private Commercial Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 67(1), pages 150-190, July.
    6. Lin, Fu-Lai & Chen, Yu-Fen & Yang, Sheng-Yung, 2016. "Does the value of US dollar matter with the price of oil and gold? A dynamic analysis from time–frequency space," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 59-71.
    7. Kuşkaya, Sevda & Bilgili, Faik & Muğaloğlu, Erhan & Khan, Kamran & Hoque, Mohammad Enamul & Toguç, Nurhan, 2023. "The role of solar energy usage in environmental sustainability: Fresh evidence through time-frequency analyses," Renewable Energy, Elsevier, vol. 206(C), pages 858-871.
    8. Habimana, Olivier, 2016. "Oil price, exchange rate and consumer price co-movement: A continuous-wavelet analysis," MPRA Paper 71886, University Library of Munich, Germany.
    9. KRAVETS Tetyana & LIASHENKO Olena, 2014. "The Synchronization Effects Of Stock Indices Dynamics In The Multifractal Analysis Using The Wavelet Technology," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 66(2), pages 41-57.
    10. Luís Aguiar-Conraria & Teresa Maria Rodrigues & Maria Joana Soares, 2014. "Oil Shocks and the Euro as an Optimum Currency Area," Dynamic Modeling and Econometrics in Economics and Finance, in: Marco Gallegati & Willi Semmler (ed.), Wavelet Applications in Economics and Finance, edition 127, pages 143-156, Springer.
    11. Elisa Sicuri & David B Evans & Fabrizio Tediosi, 2015. "Can Economic Analysis Contribute to Disease Elimination and Eradication? A Systematic Review," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-21, June.
    12. Jamal Bouoiyour & Refk Selmi, 2015. "What Does Bitcoin Look Like?," Annals of Economics and Finance, Society for AEF, vol. 16(2), pages 449-492, November.
    13. Bilgili, Faik & Kocak, Emrah & Kuskaya, Sevda & Bulut, Umit, 2022. "Co-movements and causalities between ethanol production and corn prices in the USA: New evidence from wavelet transform analysis," Energy, Elsevier, vol. 259(C).
    14. Magazzino, Cosimo & Giolli, Lorenzo, 2021. "The relationship among railway networks, energy consumption, and real added value in Italy. Evidence form ARDL and Wavelet analysis," Research in Transportation Economics, Elsevier, vol. 90(C).
    15. Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia, 2023. "Do commodity markets catch a cold from stock markets? Modelling uncertainty spillovers using Google search trends and wavelet coherence," International Review of Financial Analysis, Elsevier, vol. 87(C).
    16. Cheneal Raubenheimer & Andrew Phiri, 2023. "The impact of climate change and economic development on fisheries in South Africa: a wavelet-based spectral analysis," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    17. Aguiar-Conraria, LuI´s & Joana Soares, Maria, 2011. "Business cycle synchronization and the Euro: A wavelet analysis," Journal of Macroeconomics, Elsevier, vol. 33(3), pages 477-489, September.
    18. Boako, Gideon & Alagidede, Imhotep Paul & Sjo, Bo & Uddin, Gazi Salah, 2020. "Commodities price cycles and their interdependence with equity markets," Energy Economics, Elsevier, vol. 91(C).
    19. Jamal Bouoiyour & Refk Selmi & Aviral Kumar Tiwari, 2015. "Is Bitcoin Business Income Or Speculative Foolery? New Ideas Through An Improved Frequency Domain Analysis," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 1-23.
    20. Andrew Phiri, 2022. "Changing efficiency of BRICS currency markets during the COVID-19 pandemic," Economic Change and Restructuring, Springer, vol. 55(3), pages 1673-1699, August.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0228540. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.