MIDAS COVID-19 Data Catalog now available
October 5, 2021
Dates: October 20
Location: online
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MIDAS
MODELS OF INFECTIOUS DISEASE AGENT STUDY
MIDAS is a global network of scientists and practitioners who develop and use computational, statistical and mathematical models to improve the understanding of infectious disease dynamics. Through education, research, service, and sharing of ideas, the MIDAS network aims to advance science to improve global preparedness and response.
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Training & Events
Dates: October 29, 2021
Location: online
Dates: November 3, 2021
Location: online
Membership
MIDAS membership is open to any infectious disease scientist, practitioner, or student who supports the mission and vision of the network. MIDAS is defined by broad inclusivity and diversity of its members, fostering collaboration to advance the science and application of infectious disease modeling. MIDAS members enjoy many advantages of being part of the network, free of charge.
MIDAS Members
Tigist Menkir
Graduate Student
Harvard University
Caitlin Rivers
Assistant Professor
Johns Hopkins University
Joseph Servadio
Postdoctoral Scholar
Penn State University
Virginia Pitzer
Associate Professor
Yale University
Mary Bushman
PostDoc
Emory University
COVID-19 Researchers
Xiaomeng Yuan
graduate student
University of Florida
Ruchita Balasubramanian
Graduate Student
University of Cambridge
Tracy Qi Dong
PhD Candidate
University of Washington
Andrea Buchwald
Research Associate
University of Colorado Anschutz Medical Campus
Katelin Jackson
Doctoral Candidate
Washington State University
MIDAS at a Glance
Our Vision and Mission
MIDAS is a global network of scientists and practitioners who develop and use computational, statistical and mathematical models to improve the understanding of infectious disease dynamics.
Membership
MIDAS network membership is open to any infectious disease scientist, practitioner, or student who supports our mission. The MIDAS network is defined by its broad member inclusivity.
Coodination Center
MIDAS creates educational, training, mentoring and career development opportunities in computational and statistical modeling, and is dedicated to train a broad community of scientists and practitioners.
Training
MIDAS creates educational, training, mentoring and career development opportunities in computational and statistical modeling, and is dedicated to train a broad community of scientists and practitioners.
Computing
HPC Services are funded by the NIH National Institute of General Medical Sciences (NIGMS) and are free of charge for MIDAS members from non-commercial organizations.
Students
MIDAS enables students to create professional relationships across the network, foster future collaborations, share educational resources, and provide a relaxed environment to share research and progress.
MIDAS Member Papers
Infectious Disease Papers
Trade-offs between individual and ensemble forecasts of an emerging infectious disease.
Nature communications
Oidtman RJ, Omodei E, Kraemer MUG, Castañeda-Orjuela CA, Cruz-Rivera E, Misnaza-Castrillón S, Cifuentes MP, Rincon LE, Cañon V, Alarcon P, España G, Huber JH, Hill SC, Barker CM, Johansson MA, Manore CA, Reiner RC Jr., Rodriguez-Barraquer I, Siraj AS, Frias-Martinez E, García-Herranz M, Perkins TA
2020-04-01
How will mosquitoes adapt to climate warming?
eLife
Couper LI, Farner JE, Caldwell JM, Childs ML, Harris MJ, Kirk DG, Nova N, Shocket M, Skinner EB, Uricchio LH, Exposito-Alonso M, Mordecai EA
2021-08-16
Assessing Interventions That Prevent Multiple Infectious Diseases: Simple Methods for Multidisease Modeling.
Medical decision making : an international journal of the Society for Medical Decision Making
Claypool AL, Goldhaber-Fiebert JD, Brandeau ML
2021-08-10
Modeling the effect of vaccination on selection for antibiotic resistance in Streptococcus pneumonia e
Science translational medicine
Davies NG, Flasche S, Jit M, Atkins KE
2021-08-10
MIDAS Member Projects
Test-based guideline to end isolation of patients
Midas Coordination Center Urgent Grant Program – Supplemental
People: Keisuke Ejima
2021 – 2021
Modelling University Responses to COVID-19
Midas Coordination Center Urgent Grant Program – Supplemental
People: Kyle Dahlin
2021 – 2021
Using climate & mobility data to model SARS-CoV-2
Midas Coordination Center Urgent Grant Program – Supplemental
People: Elizabeth Carlton
2021 – 2021
Data Mining & Transfer Learning for Modeling COVID
Midas Coordination Center Urgent Grant Program – Supplemental
People: Shi Chen
2021 – 2021
MIDAS Coordination Center
Follow @MIDAS_Network
Really pleased to have such an amazing speaker for CMMID’s annual lecture this year. I am sure Dr Van Kerkhove will have fascinating insights on the pandemic and beyond.
All welcome.
@cmmid_lshtm https://twitter.com/lshtm/status/1450029516169089028
Want the latest on the global #COVID19 situation, insights from @WHO & possible paths of the pandemic?🌍
Well nobody better to hear from than COVID Technical Lead at WHO & LSHTM alum @mvankerkhove!
Can't wait for @cmmid_lshtm's Annual Lecture tomorrow 👉 http://bit.ly/3D5tNOA
We have launched an updated visualization of short-term predictions from the US #COVID19 Forecast Hub. So much data to look at here: dozens of models forecasting every week new cases, hospitalizations and deaths at the state/national level in the US.
https://viz.covid19forecasthub.org/
1/2
The virtual #StettenLecture is this Wednesday! Join us live at 3 p.m. ET to hear Dr. Trevor Bedford, @FredHutch, talk about the mutation patterns and transmission of SARS-CoV-2 variants. https://go.usa.gov/xMKBd. @trvrb
Was really glad to get to push some ideas about where to go next with our approaches to epi modeling in this article by @sioroberts along with @mlipsitch @StatModeling @SDGuikema
Reimagining our pandemic problems with the mindset of an engineer
Grappling with all the uncertainty, the epidemiologist’s role during the pandemic proved confusingly complex. A more pragmatic, problem-solving ...
www.technologyreview.com
Come join us at UGA! We’re hiring 8 faculty in Ecology, Engineering, Epidemiology, & Statistics for a cluster hire in AI, Data Science, & Infectious Disease Dynamics. For full details, see: https://www.ceid.uga.edu/idd/
🦠Postdoc opportunities in EHS with @ShamanJeffrey's Group @ColumbiaMSPH🦠
Infectious disease modeling ✔️
Influenza, COVID-19, malaria, dengue ✔️
Mathematicians, comp biologists, epidemiologists ✔️
https://academic.careers.columbia.edu/#/79992?keywords=post&sortKey=keywordScore
Please retweet and welcome Jeff to Twitter!
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Thank you to NIGMS Grant U24GM132013 for supporting the work at the Coordination Center.
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