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Methods in Global Health: Disease Modelling

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Global Health Essentials

Part of the book series: Sustainable Development Goals Series ((SDGS))

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Abstract

Disease modelling utilizes statistical and mathematical models to address questions in biomedical sciences, ecology, epidemiology, and public health, for infectious and non-communicable diseases. When applied to global health, modelling improves our understanding of diseases affecting humans globally and supports decision-making for improving health at the individual and population levels. While a range of topics can be examined, modelling does not necessarily aim to predict the future, but to analyze hypothetical scenarios to estimate the impact and economics of interventions, and to select between them to improve health outcomes. In this chapter, we outline basic concepts for understanding the use of models to improve disease knowledge; to design or evaluate interventions to reduce the disease burden; and to support global health decision-making. We provide several examples of applications and critical questions in disease modelling for global health.

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References

  1. Heesterbeek H, Anderson RM, Andreasen V, Bansal S, De Angelis D, Dye C, et al. Modeling infectious disease dynamics in the complex landscape of global health. Science. 2015;347(6227):aaa4339.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Wu JT, Leung K, Bushman M, Kishore N, Niehus R, de Salazar PM, et al. Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan. China Nat Med. 2020;26(4):506–10.

    Article  CAS  PubMed  Google Scholar 

  3. Wang Y, Wang J. Modelling and prediction of global non-communicable diseases. BMC Public Health. 2020;20(1):1–13.

    Article  Google Scholar 

  4. Fitzpatrick MC, Bauch CT, Townsend JP, Galvani AP. Modelling microbial infection to address global health challenges. Nat Microbiol. 2019;4(10):1612–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Penny MA, Verity R, Bever CA, Sauboin C, Galactionova K, Flasche S, et al. Public health impact and cost-effectiveness of the RTS,S/AS01 malaria vaccine: a systematic comparison of predictions from four mathematical models. Lancet. 2016;387(10016):367–75.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Divajeva D, Marsh T, Logstrup S, Kestens M, Vemer P, Kriaucioniene V, et al. Economics of chronic diseases protocol: cost-effectiveness modelling and the future burden of non-communicable disease in Europe. BMC Public Health. 2014;14(1):1–5.

    Article  Google Scholar 

  7. Rajkomar A, Hardt M, Howell MD, Corrado G, Chin MH. Ensuring fairness in machine learning to advance health equity. Ann Intern Med. 2018;169(12):866–72.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Unwin HJT, Mwandigha L, Winskill P, Ghani AC, Hogan AB. Analysis of the potential for a malaria vaccine to reduce gaps in malaria intervention coverage. Malar J. 2021;20(1):1–11.

    Article  Google Scholar 

  9. Camponovo F, Lee TE, Russell JR, Burgert L, Gerardin J, Penny MA. Mechanistic within-host models of the asexual plasmodium falciparum infection: a review and analytical assessment. Malar J. 2021;20(1):1–22.

    Article  Google Scholar 

  10. Leopold SJ, Watson JA, Jeeyapant A, Simpson JA, Phu NH, Hien TT, et al. Investigating causal pathways in severe falciparum malaria: a pooled retrospective analysis of clinical studies. PLoS Med. 2019;16(8):e1002858.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Weiss DJ, Lucas TC, Nguyen M, Nandi AK, Bisanzio D, Battle KE, et al. Mapping the global prevalence, incidence, and mortality of plasmodium falciparum, 2000–17: a spatial and temporal modelling study. Lancet. 2019;394(10195):322–31.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Lesko CR, Buchanan AL, Westreich D, Edwards JK, Hudgens MG, Cole SR. Generalizing study results: a potential outcomes perspective. Epidemiology. 2017;28(4):553.

    Article  PubMed  PubMed Central  Google Scholar 

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Author information

Authors and Affiliations

  1. Swiss Tropical and Public Health Institute, Allschwil, Switzerland

    Melissa A. Penny & Pablo M. De Salazar

  2. University of Basel, Basel, Switzerland

    Melissa A. Penny & Pablo M. De Salazar

Authors
  1. Melissa A. Penny
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  2. Pablo M. De Salazar
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Corresponding author

Correspondence to Melissa A. Penny .

Editor information

Editors and Affiliations

  1. Centre for Multidisciplinary Research in Health Science (MACH), University of Milan, Milan, Italy

    Mario C. B. Raviglione

  2. Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwill, Switzerland

    Fabrizio Tediosi

  3. Centre for Multidisciplinary Research in Health Science (MACH), University of Milan, Milan, Italy

    Simone Villa

  4. Barcelona Institute for Global Health (ISGlobal), Hospital Clínic, University of Barcelona, Barcelona, Spain

    Núria Casamitjana

  5. Barcelona Institute for Global Health (ISGlobal), Hospital Clínic, University of Barcelona, Barcelona, Spain

    Antoni Plasència

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Penny, M.A., De Salazar, P.M. (2023). Methods in Global Health: Disease Modelling. In: Raviglione, M.C.B., Tediosi, F., Villa, S., Casamitjana, N., Plasència, A. (eds) Global Health Essentials. Sustainable Development Goals Series. Springer, Cham. https://doi.org/10.1007/978-3-031-33851-9_82

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  • DOI: https://doi.org/10.1007/978-3-031-33851-9_82

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-33850-2

  • Online ISBN: 978-3-031-33851-9

  • eBook Packages: MedicineMedicine (R0)

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