IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0248850.html

People who inject drugs in metropolitan Chicago: A meta-analysis of data from 1997-2017 to inform interventions and computational modeling toward hepatitis C microelimination

Author

Listed:
  • Basmattee Boodram
  • Mary Ellen Mackesy-Amiti
  • Aditya Khanna
  • Bryan Brickman
  • Harel Dahari
  • Jonathan Ozik

Abstract

Progress toward hepatitis C virus (HCV) elimination in the United States is not on track to meet targets set by the World Health Organization, as the opioid crisis continues to drive both injection drug use and increasing HCV incidence. A pragmatic approach to achieving this is using a microelimination approach of focusing on high-risk populations such as people who inject drugs (PWID). Computational models are useful in understanding the complex interplay of individual, social, and structural level factors that might alter HCV incidence, prevalence, transmission, and treatment uptake to achieve HCV microelimination. However, these models need to be informed with realistic sociodemographic, risk behavior and network estimates on PWID. We conducted a meta-analysis of research studies spanning 20 years of research and interventions with PWID in metropolitan Chicago to produce parameters for a synthetic population for realistic computational models (e.g., agent-based models). We then fit an exponential random graph model (ERGM) using the network estimates from the meta-analysis in order to develop the network component of the synthetic population.

Suggested Citation

  • Basmattee Boodram & Mary Ellen Mackesy-Amiti & Aditya Khanna & Bryan Brickman & Harel Dahari & Jonathan Ozik, 2022. "People who inject drugs in metropolitan Chicago: A meta-analysis of data from 1997-2017 to inform interventions and computational modeling toward hepatitis C microelimination," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-17, January.
    • Handle: RePEc:plo:pone00:0248850
    DOI: 10.1371/journal.pone.0248850
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0248850
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0248850&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0248850?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. Goodreau, Steven M. & Handcock, Mark S. & Hunter, David R. & Butts, Carter T. & Morris, Martina, 2008. "A statnet Tutorial," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 24(i09).
    2. Alexander Gutfraind & Basmattee Boodram & Nikhil Prachand & Atesmachew Hailegiorgis & Harel Dahari & Marian E Major, 2015. "Agent-Based Model Forecasts Aging of the Population of People Who Inject Drugs in Metropolitan Chicago and Changing Prevalence of Hepatitis C Infections," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-23, September.
    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. Sándor Juhász, 2021. "Spinoffs and tie formation in cluster knowledge networks," Small Business Economics, Springer, vol. 56(4), pages 1385-1404, April.
    2. Cornelius Fritz & Michael Lebacher & Göran Kauermann, 2020. "Tempus volat, hora fugit: A survey of tie‐oriented dynamic network models in discrete and continuous time," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 74(3), pages 275-299, August.
    3. Angel Ortiz-Pelaez & Getaneh Ashenafi & Francois Roger & Agnes Waret-Szkuta, 2012. "Can Geographical Factors Determine the Choices of Farmers in the Ethiopian Highlands to Trade in Livestock Markets?," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-11, February.
    4. Peng, Tai-Quan, 2015. "Assortative mixing, preferential attachment, and triadic closure: A longitudinal study of tie-generative mechanisms in journal citation networks," Journal of Informetrics, Elsevier, vol. 9(2), pages 250-262.
    5. De Benedictis Luca & Nenci Silvia & Santoni Gianluca & Tajoli Lucia & Vicarelli Claudio, 2014. "Network Analysis of World Trade using the BACI-CEPII Dataset," Global Economy Journal, De Gruyter, vol. 14(3-4), pages 287-343, October.
    6. Elena Kotyrlo, 2017. "Social network sites: What users post and to whom they address. Some approaches to the study," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 47, pages 74-99.
    7. Gallemore, Caleb & Jespersen, Kristjan, 2016. "Transnational Markets for Sustainable Development Governance: The Case of REDD+," World Development, Elsevier, vol. 86(C), pages 79-94.
    8. Olivier Sire & Salim Lardjane, 2014. "VORTEX, a dedicated tool for the development of territorial intelligence based on a systemic approach of the social network for innovation in Brittany [VORTEX, un outil d'intelligence territoriale pour une approche systémique du réseau social de l," Working Papers hal-01098549, HAL.
    9. Tom Broekel & Pierre-Alexandre Balland & Martijn Burger & Frank Oort, 2014. "Modeling knowledge networks in economic geography: a discussion of four methods," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 423-452, September.
    10. Joshua Daniel Loyal & Yuguo Chen, 2020. "Statistical Network Analysis: A Review with Applications to the Coronavirus Disease 2019 Pandemic," International Statistical Review, International Statistical Institute, vol. 88(2), pages 419-440, August.
    11. André Spithoven & Jef Vlegels & Walter Ysebaert, 2021. "Commercializing academic research: a social network approach exploring the role of regions and distance," The Journal of Technology Transfer, Springer, vol. 46(4), pages 1196-1231, August.
    12. Zsifkovits, Martin & Zsifkovits, Johannes & Pickl, Stefan W., 2016. "Simulating healthcare quality innovation based on a novel medical treatment: The case of Hepatitis-C in Europe," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 454-459.
    13. Brooke Foucault Welles & Noshir Contractor, 2015. "Individual Motivations and Network Effects," The ANNALS of the American Academy of Political and Social Science, , vol. 659(1), pages 180-190, May.
    14. Cimenler, Oguz & Reeves, Kingsley A. & Skvoretz, John, 2015. "An evaluation of collaborative research in a college of engineering," Journal of Informetrics, Elsevier, vol. 9(3), pages 577-590.
    15. Duy Dang-Pham & Siddhi Pittayachawan & Vince Bruno & Karlheinz Kautz, 2019. "Investigating the diffusion of IT consumerization in the workplace: A case study using social network analysis," Information Systems Frontiers, Springer, vol. 21(4), pages 941-955, August.
    16. Peter R. Herman, 2022. "Correction to: Modeling complex network patterns in international trade," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(2), pages 713-714, May.
    17. Fischer, Manuel, 2015. "Collaboration patterns, external shocks and uncertainty: Swiss nuclear energy politics before and after Fukushima," Energy Policy, Elsevier, vol. 86(C), pages 520-528.
    18. Manajit Chakraborty & Maksym Byshkin & Fabio Crestani, 2020. "Patent citation network analysis: A perspective from descriptive statistics and ERGMs," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-28, December.

    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:pone00:0248850. 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.