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Institute for Disease Modeling

Institute for Disease Modeling (IDM) is an institute within the Global Health Division of the Bill and Melinda Gates Foundation. Established in 2008 as part of the Global Good Fund, a non-profit subsidiary of Intellectual Ventures (IV) funded by Bill and Melinda Gates, IDM has transitioned in mid-2020 to the Gates Foundation.[1]

IDM specializes in mathematical modelling of infectious disease and other quantitative global health research. Its models include malaria, polio, measles, COVID-19[2] and HIV (with EMOD). IDM releases source code of their stable models to the public.[3][4] While at IV, the institute was located in Bellevue, Washington. After the outbreak of COVID-19 in Washington State, IDM has transitioned to all-remote work with no physical offices. It will eventually relocate to the Gates Foundation's main office in Seattle.[citation needed]

Disease modeling software edit

EMOD is the group's individual-based disease modeling software (not a compartmental model) initially coded c. 2005. It has been released to the public as open-source software. The software can model malaria, HIV, tuberculosis, measles, dengue, polio and typhoid.[5]

In 2020, IDM developed a designated COVID-19 agent-based model named "Covasim." It was used initially to advise on decision-making during the COVID-19 pandemic in Oregon and in Washington State,[2][6] gaining national attention.[7][8] Covasim, coded in Python, is open-source and has been used by independent researchers around the world.[9]

References edit

  1. ^ Cheney, Catherine (3 December 2020). "The Gates Foundation leans into disease modeling". Devex. Retrieved 30 December 2020.
  2. ^ a b Sandi Doughton (March 15, 2020). "How big will the coronavirus outbreak get? This Bellevue scientist is figuring that out". The Seattle Times.
  3. ^ Eaton et al. 2015.
  4. ^ Ross Reynolds (March 14, 2014). "Improving The Battle Against Infectious Diseases" (audio). Seattle: KUOW-FM.
  5. ^ Bershteyn et al. 2018.
  6. ^ Tess Riski (March 31, 2020). "How Bad Will Oregon's Outbreak Get? It Depends on Which Experts You Ask". Willamette Week. Two reliable studies show divergent COVID-19 outcomes in Oregon.
  7. ^ Todd Bishop; Taylor Soper (April 15, 2020), "As Washington state COVID cases keep falling, here's the data driving the ongoing 'stay home' order", Geekwire
  8. ^ Gillian Friedman (April 3, 2020). "Coronavirus: How the West Coast is winning, and what Utah can learn". Deseret News. Salt Lake City.
  9. ^ Kerr, Cliff; Mistry, Dina; et al. (2021). "Covasim: an agent-based model of COVID-19 dynamics and interventions". medRxiv 10.1101/2020.05.10.20097469v1.

Sources edit

  • Jeffrey W Eaton; Nicolas Bacaër; Anna Bershteyn; Valentina Cambiano; Anne Cori; Rob E Dorrington; et al. (October 2015), "Assessment of epidemic projections using recent HIV survey data in South Africa: a validation analysis of ten mathematical models of HIV epidemiology in the antiretroviral therapy era", The Lancet, 3 (10): e598–e608, doi:10.1016/S2214-109X(15)00080-7, hdl:10044/1/33879, PMID 26385301
  • Bershteyn, Anna; Gerardin, Jaline; Bridenbecker, Daniel; Lorton, Christopher W; Bloedow, Jonathan; Baker, Robert S; Chabot-Couture, Guillaume; Chen, Ye; Fischle, Thomas; Frey, Kurt; Gauld, Jillian S; Hu, Hao; Izzo, Amanda S; Klein, Daniel J; Lukacevic, Dejan; McCarthy, Kevin A; Miller, Joel C; Ouedraogo, Andre Lin; Perkins, T Alex; Steinkraus, Jeffrey; ten Bosch, Quirine A; Ting, Hung-Fu; Titova, Svetlana; Wagner, Bradley G; Welkhoff, Philip A; Wenger, Edward A; Wiswell, Christian N (2018), "Implementation and applications of EMOD, an individual-based multi-disease modeling platform", Pathogens and Disease, 76 (5), doi:10.1093/femspd/fty059, ISSN 2049-632X, PMC 6067119, PMID 29986020

External links edit

  • Official website
  • EMOD on GitHub
  • COVID-19 Chapter 11: Modeling, This Podcast Will Kill You, May 4, 2020, interview with Dr. Mike Famulare from the Institute for Disease Modeling recorded April 29, 2020 starts at 28:30


institute, disease, modeling, institute, within, global, health, division, bill, melinda, gates, foundation, established, 2008, part, global, good, fund, profit, subsidiary, intellectual, ventures, funded, bill, melinda, gates, transitioned, 2020, gates, found. Institute for Disease Modeling IDM is an institute within the Global Health Division of the Bill and Melinda Gates Foundation Established in 2008 as part of the Global Good Fund a non profit subsidiary of Intellectual Ventures IV funded by Bill and Melinda Gates IDM has transitioned in mid 2020 to the Gates Foundation 1 IDM specializes in mathematical modelling of infectious disease and other quantitative global health research Its models include malaria polio measles COVID 19 2 and HIV with EMOD IDM releases source code of their stable models to the public 3 4 While at IV the institute was located in Bellevue Washington After the outbreak of COVID 19 in Washington State IDM has transitioned to all remote work with no physical offices It will eventually relocate to the Gates Foundation s main office in Seattle citation needed Contents 1 Disease modeling software 2 References 2 1 Sources 3 External linksDisease modeling software editEMOD is the group s individual based disease modeling software not a compartmental model initially coded c 2005 It has been released to the public as open source software The software can model malaria HIV tuberculosis measles dengue polio and typhoid 5 In 2020 IDM developed a designated COVID 19 agent based model named Covasim It was used initially to advise on decision making during the COVID 19 pandemic in Oregon and in Washington State 2 6 gaining national attention 7 8 Covasim coded in Python is open source and has been used by independent researchers around the world 9 References edit Cheney Catherine 3 December 2020 The Gates Foundation leans into disease modeling Devex Retrieved 30 December 2020 a b Sandi Doughton March 15 2020 How big will the coronavirus outbreak get This Bellevue scientist is figuring that out The Seattle Times Eaton et al 2015 Ross Reynolds March 14 2014 Improving The Battle Against Infectious Diseases audio Seattle KUOW FM Bershteyn et al 2018 Tess Riski March 31 2020 How Bad Will Oregon s Outbreak Get It Depends on Which Experts You Ask Willamette Week Two reliable studies show divergent COVID 19 outcomes in Oregon Todd Bishop Taylor Soper April 15 2020 As Washington state COVID cases keep falling here s the data driving the ongoing stay home order Geekwire Gillian Friedman April 3 2020 Coronavirus How the West Coast is winning and what Utah can learn Deseret News Salt Lake City Kerr Cliff Mistry Dina et al 2021 Covasim an agent based model of COVID 19 dynamics and interventions medRxiv 10 1101 2020 05 10 20097469v1 Sources edit Jeffrey W Eaton Nicolas Bacaer Anna Bershteyn Valentina Cambiano Anne Cori Rob E Dorrington et al October 2015 Assessment of epidemic projections using recent HIV survey data in South Africa a validation analysis of ten mathematical models of HIV epidemiology in the antiretroviral therapy era The Lancet 3 10 e598 e608 doi 10 1016 S2214 109X 15 00080 7 hdl 10044 1 33879 PMID 26385301 Bershteyn Anna Gerardin Jaline Bridenbecker Daniel Lorton Christopher W Bloedow Jonathan Baker Robert S Chabot Couture Guillaume Chen Ye Fischle Thomas Frey Kurt Gauld Jillian S Hu Hao Izzo Amanda S Klein Daniel J Lukacevic Dejan McCarthy Kevin A Miller Joel C Ouedraogo Andre Lin Perkins T Alex Steinkraus Jeffrey ten Bosch Quirine A Ting Hung Fu Titova Svetlana Wagner Bradley G Welkhoff Philip A Wenger Edward A Wiswell Christian N 2018 Implementation and applications of EMOD an individual based multi disease modeling platform Pathogens and Disease 76 5 doi 10 1093 femspd fty059 ISSN 2049 632X PMC 6067119 PMID 29986020External links editOfficial website EMOD on GitHub COVID 19 Chapter 11 Modeling This Podcast Will Kill You May 4 2020 interview with Dr Mike Famulare from the Institute for Disease Modeling recorded April 29 2020 starts at 28 30 nbsp This article about the COVID 19 pandemic is a stub You can help Wikipedia by expanding it vte Retrieved from https en wikipedia org w index php title Institute for Disease Modeling amp oldid 1193479199, wikipedia, wiki, book, books, library,

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