IDEAS home Printed from https://ideas.repec.org/a/eee/cysrev/v118y2020ics0190740920315929.html
   My bibliography  Save this article

Does seasonal variation affect diarrhoea prevalence among children in India? An analysis based on spatial regression models

Author

Listed:
  • Chaurasia, Himanshu
  • Srivastava, Shobhit
  • Kumar Singh, Jiten

Abstract

Diarrhoea is the eighth leading cause of childhood mortality and is responsible for 1.6 million deaths/year in children under five years of age. This study aims to explore the effect of seasonal variation over diarrhoea prevalence among children in India. Data from the National Family Health Survey was used, which was conducted in 2015–16 in India (N = 259,627). Spatial regression analysis (ordinary least square, spatial lag model and spatial error model) was done across 640 districts of India to carve out the results. Moran’s I value for diarrhoea prevalence was 0.375, which indicates high spatial auto-correlation in diarrhoea over the districts of India. Diarrhoea prevalence is highly concentrated in the northern region of India, i.e. in the state of Uttarakhand, Punjab, Haryana, Delhi, Himachal Pradesh, Uttar-Pradesh, Bihar and north part of Madhya Pradesh, Jharkhand, and Chhattisgarh. The spatial error models indicate that the 10% point increase in birth order four and above will increase the diarrhoea prevalence by 1.18% in a respective district. Similarly, if open defecation and unsafe stool disposal in a district increases by 10% points than the prevalence of diarrhoea will increase by 0.71% and 0.48% in the respective district. Additionally, if the length of the spring season increases by 10% points the prevalence of diarrhoea increases by 0.10% points. Therefore, the study concludes that seasonal variation had an impact on diarrhoea prevalence among children in India. Therefore, identifying the risk areas would undoubtedly help in designing effective interventions to reduce diarrhoea among children in these areas and seasons when the risk of diarrhoea is high.

Suggested Citation

  • Chaurasia, Himanshu & Srivastava, Shobhit & Kumar Singh, Jiten, 2020. "Does seasonal variation affect diarrhoea prevalence among children in India? An analysis based on spatial regression models," Children and Youth Services Review, Elsevier, vol. 118(C).
    • Handle: RePEc:eee:cysrev:v:118:y:2020:i:c:s0190740920315929
    DOI: 10.1016/j.childyouth.2020.105453
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0190740920315929
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.childyouth.2020.105453?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. Colvin, Christopher J. & Smith, Helen J. & Swartz, Alison & Ahs, Jill W. & de Heer, Jodie & Opiyo, Newton & Kim, Julia C. & Marraccini, Toni & George, Asha, 2013. "Understanding careseeking for child illness in sub-Saharan Africa: A systematic review and conceptual framework based on qualitative research of household recognition and response to child diarrhoea, ," Social Science & Medicine, Elsevier, vol. 86(C), pages 66-78.
    2. Kenan Arifoğlu & Sarang Deo & Seyed M. R. Iravani, 2020. "Markdowns in Seasonal Conspicuous Goods," Marketing Science, INFORMS, vol. 39(5), pages 1016-1029, September.
    3. J. Scott Long & Jeremy Freese, 2006. "Regression Models for Categorical Dependent Variables using Stata, 2nd Edition," Stata Press books, StataCorp LP, edition 2, number long2, March.
    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. Jinsuk Yang & Qing Hao & Mahmut Yaşar, 2023. "Institutional investors and cross‐border mergers and acquisitions: The 2000–2018 period," International Review of Finance, International Review of Finance Ltd., vol. 23(3), pages 553-583, September.
    2. Gregory Thompson & Jeffrey Brown & Torsha Bhattacharya, 2012. "What Really Matters for Increasing Transit Ridership: Understanding the Determinants of Transit Ridership Demand in Broward County, Florida," Urban Studies, Urban Studies Journal Limited, vol. 49(15), pages 3327-3345, November.
    3. Kerri Brick & Martine Visser & Justine Burns, 2012. "Risk Aversion: Experimental Evidence from South African Fishing Communities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 133-152.
    4. Seung-Whan Choi & James A. Piazza, 2017. "Foreign Military Interventions and Suicide Attacks," Journal of Conflict Resolution, Peace Science Society (International), vol. 61(2), pages 271-297, February.
    5. Clara Berridge & Yuanjin Zhou & Julie M. Robillard & Jeffrey Kaye, 2023. "AI Companion Robot Data Sharing: Preferences of an Online Cohort and Policy Implications," Journal of Elder Policy, John Wiley & Sons, vol. 2(3), pages 19-54, June.
    6. Mikael Svensson & Fredrik Nilsson & Karl Arnberg, 2015. "Reimbursement Decisions for Pharmaceuticals in Sweden: The Impact of Disease Severity and Cost Effectiveness," PharmacoEconomics, Springer, vol. 33(11), pages 1229-1236, November.
    7. Dixon, Huw D. & Grimme, Christian, 2022. "State-dependent or time-dependent pricing? New evidence from a monthly firm-level survey: 1980–2017," European Economic Review, Elsevier, vol. 150(C).
    8. Melanie Lefevre, 2011. "Willingness-to-pay for Local Milk-based Dairy Product in Senegal," CREPP Working Papers 1108, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège.
    9. Erik Stam & Roy Thurik & Peter van der Zwan, 2010. "Entrepreneurial exit in real and imagined markets," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 19(4), pages 1109-1139, August.
    10. Miriam Marcén & Marina Morales, 2019. "Live together: does culture matter?," Review of Economics of the Household, Springer, vol. 17(2), pages 671-713, June.
    11. Bruno Amable, 2009. "The Differentiation of Social Demands in Europe. The Social Basis of the European Models of Capitalism," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 91(3), pages 391-426, May.
    12. Krishna Chaitanya Vadlamannati & Yuanxin Li & Samuel Brazys & Alexander Dukalskis, 2019. "Building Bridges or Breaking Bonds? The Belt and Road Initiative and Foreign Aid Competition," Working Papers 201906, Geary Institute, University College Dublin.
    13. Altorjai, Szilvia, 2013. "Over-qualification of immigrants in the UK," ISER Working Paper Series 2013-11, Institute for Social and Economic Research.
    14. An, Wookhyun & Alarcón, Silverio, 2021. "Rural tourism preferences in Spain: Best-worst choices," Annals of Tourism Research, Elsevier, vol. 89(C).
    15. Michelsen, Carl Christian & Madlener, Reinhard, 2016. "Switching from fossil fuel to renewables in residential heating systems: An empirical study of homeowners' decisions in Germany," Energy Policy, Elsevier, vol. 89(C), pages 95-105.
    16. Wang, Liang & Xie, Zaiyang & Abdi, Majid & Lee, June Y. & Li, Stan Xiao, 2024. "The rise of female board representation in China as a glocalization process (2010–2018)," Journal of Business Research, Elsevier, vol. 172(C).
    17. Rolando Rubilar-Torrealba & Karime Chahuán-Jiménez & Hanns de la Fuente-Mella & Mercedes Marzo-Navarro, 2022. "Econometric Modeling to Measure the Social and Economic Factors in the Success of Entrepreneurship," Sustainability, MDPI, vol. 14(13), pages 1-15, June.
    18. Susanne Meyer & Javier Revilla Diez, 2015. "One country, two systems: How regional institutions shape governance modes in the greater Pearl River Delta, China," Papers in Regional Science, Wiley Blackwell, vol. 94(4), pages 891-900, November.
    19. Fabrizio Pompei & Ekaterina Selezneva, 2015. "Education Mismatch, Human Capital and Labour Status of Young People across European Union Countries," Working Papers 347, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    20. Richard Williams, 2009. "Using Heterogeneous Choice Models to Compare Logit and Probit Coefficients Across Groups," Sociological Methods & Research, , vol. 37(4), pages 531-559, 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:cysrev:v:118:y:2020:i:c:s0190740920315929. 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: http://www.elsevier.com/locate/childyouth .

    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.