- Source: Institute for Disease Modeling
- Pencemaran udara
- Neil Ferguson (epidemiolog)
- Penyakit Alzheimer
- Simbiosis
- Gejala Covid-19
- SARS-CoV-2
- Energi surya
- Apigenin
- Banjir
- Fosforilasi oksidatif
- Institute for Disease Modeling
- IDM
- Animal disease model
- Disease model of addiction
- Disease
- Centers for Disease Control and Prevention
- Model organism
- Intellectual Ventures
- United States Army Medical Research Institute of Infectious Diseases
- Alzheimer's disease
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.
IDM specializes in mathematical modelling of infectious disease and other quantitative global health research. Its models include malaria, polio, measles, COVID-19 and HIV (with EMOD). IDM releases source code of their stable models to the public. 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.
Disease modeling software
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.
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, gaining national attention. Covasim, coded in Python, is open-source and has been used by independent researchers around the world.
References
= Sources
=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
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