IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v38y2018i11p2478-2496.html
   My bibliography  Save this article

Children Are Exposed to Fecal Contamination via Multiple Interconnected Pathways: A Network Model for Exposure Assessment

Author

Listed:
  • Yuke Wang
  • Christine L. Moe
  • Peter F. M. Teunis

Abstract

In recent decades, quantitative microbial risk assessment (QMRA) has been widely used to assess exposure to fecal microbes and associated health risks. In this study, a multipathway exposure assessment model was developed to evaluate exposure to fecal microbes for children under 5 in highly contaminated urban environments. Children had contact with various environmental compartments. The contamination levels of these compartments were estimated from fecal indicator counts in the environmental samples. Structured observations of child behavior (including activities, locations, and time) were used to model behavioral sequences as a dynamic network. The exposure model combines behavior sequences with environmental contamination, using additional exposure factors when needed, to estimate the number of fecal microbes transferred from environmental sources to human oral ingestion. As fecal exposure in a highly contaminated urban environment consists of contributions from multiple pathways, it is imperative to study their relative importance. The model helps us better understand the characteristics of the exposure pathways that may be driven by variation in contamination and by variable behavior, like hygiene and high‐risk activities. Importantly, the model also allows prediction of the quantitative effects of an intervention—the expected reduction in exposure due to infrastructural or behavioral changes—by means of scenario studies. Based on experience with this exposure model, we make specific recommendations for additional studies of child behavior and exposure factors in order to fill critical information gaps and improve the model structure and assumptions.

Suggested Citation

  • Yuke Wang & Christine L. Moe & Peter F. M. Teunis, 2018. "Children Are Exposed to Fecal Contamination via Multiple Interconnected Pathways: A Network Model for Exposure Assessment," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2478-2496, November.
  • Handle: RePEc:wly:riskan:v:38:y:2018:i:11:p:2478-2496
    DOI: 10.1111/risa.13146
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/risa.13146
    Download Restriction: no

    File URL: https://libkey.io/10.1111/risa.13146?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. Justin Stoler & John R Weeks & Richard Appiah Otoo, 2013. "Drinking Water in Transition: A Multilevel Cross-sectional Analysis of Sachet Water Consumption in Accra," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-11, June.
    2. Valerie G. Zartarian & Jianping Xue & Halûk Özkaynak & Winston Dang & Graham Glen & Luther Smith & Casson Stallings, 2006. "A Probabilistic Arsenic Exposure Assessment for Children Who Contact CCA‐Treated Playsets and Decks, Part 1: Model Methodology, Variability Results, and Model Evaluation," Risk Analysis, John Wiley & Sons, vol. 26(2), pages 515-531, April.
    3. Peter T.L. Popkowski Leszczyc & Harry Timmermans, 2002. "Unconditional and conditional competing risk models of activity duration and activity sequencing decisions: An empirical comparison," Journal of Geographical Systems, Springer, vol. 4(2), pages 157-170, June.
    4. Mark Nicas & Rachael M. Jones, 2009. "Relative Contributions of Four Exposure Pathways to Influenza Infection Risk," Risk Analysis, John Wiley & Sons, vol. 29(9), pages 1292-1303, September.
    5. Halûk Özkaynak & Jianping Xue & Valerie G. Zartarian & Graham Glen & Luther Smith, 2011. "Modeled Estimates of Soil and Dust Ingestion Rates for Children," Risk Analysis, John Wiley & Sons, vol. 31(4), pages 592-608, April.
    6. An, Li, 2012. "Modeling human decisions in coupled human and natural systems: Review of agent-based models," Ecological Modelling, Elsevier, vol. 229(C), pages 25-36.
    7. Jaspreet S. Gujral & Deborah M. Proctor & Steave H. Su & Joseph M. Fedoruk, 2011. "Water Adherence Factors for Human Skin," Risk Analysis, John Wiley & Sons, vol. 31(8), pages 1271-1280, August.
    8. Sido D. Mylius & Maarten J. Nauta & Arie H. Havelaar, 2007. "Cross‐Contamination During Food Preparation: A Mechanistic Model Applied to Chicken‐Borne Campylobacter," Risk Analysis, John Wiley & Sons, vol. 27(4), pages 803-813, August.
    9. Anonymous, 1958. "World Health Organization," International Organization, Cambridge University Press, vol. 12(3), pages 391-394, July.
    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. Danielle Medgyesi & Daniel Sewell & Reid Senesac & Oliver Cumming & Jane Mumma & Kelly K Baker, 2019. "The landscape of enteric pathogen exposure of young children in public domains of low-income, urban Kenya: The influence of exposure pathway and spatial range of play on multi-pathogen exposure risks," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 13(3), pages 1-21, March.

    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. Laura H. Kwong & Ayse Ercumen & Amy J. Pickering & Leanne Unicomb & Jennifer Davis & Stephen P. Luby, 2016. "Hand- and Object-Mouthing of Rural Bangladeshi Children 3–18 Months Old," IJERPH, MDPI, vol. 13(6), pages 1-18, June.
    2. Ficko, Andrej & Boncina, Andrej, 2013. "Probabilistic typology of management decision making in private forest properties," Forest Policy and Economics, Elsevier, vol. 27(C), pages 34-43.
    3. Nan Zhang & Yuguo Li, 2018. "Transmission of Influenza A in a Student Office Based on Realistic Person-to-Person Contact and Surface Touch Behaviour," IJERPH, MDPI, vol. 15(8), pages 1-20, August.
    4. Qingxu Huang & Dawn C Parker & Tatiana Filatova & Shipeng Sun, 2014. "A Review of Urban Residential Choice Models Using Agent-Based Modeling," Environment and Planning B, , vol. 41(4), pages 661-689, August.
    5. Ulfia A. Lenfers & Julius Weyl & Thomas Clemen, 2018. "Firewood Collection in South Africa: Adaptive Behavior in Social-Ecological Models," Land, MDPI, vol. 7(3), pages 1-17, August.
    6. Domhnall Melly & Emmet McLoughlin & Kelly Maguire, 2023. "Emerging Venue Considerations for Event Management: The Case of Ireland," Tourism and Hospitality, MDPI, vol. 4(1), pages 1-15, March.
    7. Kamel Louhichi & Aymeric Ricome & Sergio Gomez y Paloma, 2022. "Impacts of agricultural taxation in Sub‐Saharan Africa: Insights from agricultural produce cess in Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 53(5), pages 671-686, September.
    8. Bindewald, Eckart, 2017. "A survey suggests individual priorities are virtually unique: Implications for group dynamics, goal achievement and ecology," Ecological Modelling, Elsevier, vol. 362(C), pages 69-79.
    9. Allahviranloo, Mahdieh & Recker, Will, 2013. "Daily activity pattern recognition by using support vector machines with multiple classes," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 16-43.
    10. Natalia Soto-Coloballes, 2020. "The Development of Air Pollution in Mexico City," SAGE Open, , vol. 10(2), pages 21582440209, June.
    11. James D. A. Millington & Hang Xiong & Steve Peterson & Jeremy Woods, 2017. "Integrating Modelling Approaches for Understanding Telecoupling: Global Food Trade and Local Land Use," Land, MDPI, vol. 6(3), pages 1-18, August.
    12. Laura McKinney & Devin C. Wright, 2021. "Climate Change and Water Dynamics in Rural Uganda," Sustainability, MDPI, vol. 13(15), pages 1-12, July.
    13. Hancong Ma & Mei Li & Xin Tong & Ping Dong, 2023. "Community-Level Household Waste Disposal Behavior Simulation and Visualization under Multiple Incentive Policies—An Agent-Based Modelling Approach," Sustainability, MDPI, vol. 15(13), pages 1-15, July.
    14. Nunoo, Jacob & Koomson, Isaac & Orkoh, Emmanuel, 2015. "Household Deficiency in Demand for Water: Do Water Source and Travel Time Matter?," MPRA Paper 66007, University Library of Munich, Germany.
    15. Unknown, 1964. "The World Food Budget: 1970," Foreign Agricultural Economic Report (FAER) 144071, United States Department of Agriculture, Economic Research Service.
    16. Jane K L Teh & Nai Peng Tey & Sor Tho Ng, 2014. "Ethnic and Gender Differentials in Non-Communicable Diseases and Self-Rated Health in Malaysia," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-8, March.
    17. Xia, Min & Zhang, Yanyuan & Zhang, Zihong & Liu, Jingjie & Ou, Weixin & Zou, Wei, 2020. "Modeling agricultural land use change in a rapid urbanizing town: Linking the decisions of government, peasant households and enterprises," Land Use Policy, Elsevier, vol. 90(C).
    18. Christos Nicolaides & Demetris Avraam & Luis Cueto‐Felgueroso & Marta C. González & Ruben Juanes, 2020. "Hand‐Hygiene Mitigation Strategies Against Global Disease Spreading through the Air Transportation Network," Risk Analysis, John Wiley & Sons, vol. 40(4), pages 723-740, April.
    19. Pacilly, Francine C.A. & Hofstede, Gert Jan & Lammerts van Bueren, Edith T. & Kessel, Geert J.T. & Groot, Jeroen C.J., 2018. "Simulating crop-disease interactions in agricultural landscapes to analyse the effectiveness of host resistance in disease control: The case of potato late blight," Ecological Modelling, Elsevier, vol. 378(C), pages 1-12.
    20. Zagaria, Cecilia & Schulp, Catharina J.E. & Zavalloni, Matteo & Viaggi, Davide & Verburg, Peter H., 2021. "Modelling transformational adaptation to climate change among crop farming systems in Romagna, Italy," Agricultural Systems, Elsevier, vol. 188(C).

    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:wly:riskan:v:38:y:2018:i:11:p:2478-2496. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1539-6924 .

    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.