MIDAS Student Mentorship Program
November 4, 2021
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.
Latest News
COVID-19 Scenario Modeling Hub Round 10 Announcement
October 26, 2021
MIDAS COVID-19 Data Catalog now available
October 5, 2021
Training & Events
Dates: November 30 - December 3, 2021
Location: online
Dates: December 12-18, 2021
Location: online
Member Spotlight
Cameron Matsui
Undergraduate Student
University of Texas at Austin
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
Cristina Lanzas
Associate Professor
North Carolina State University
Virginia Pitzer
Associate Professor
Yale University
Kate Grabowski
Assistant Professor
Johns Hopkins University
Bonnie Joubert
Epidemiologist, Program Official
National Institutes of Health
Ling Bian
Professor
University of Buffalo
COVID-19 Researchers
Estee Cramer
PhD Student
University of Massachusetts Amherst
Srinivasan Venkatramanan
Research Scientist
University of Virginia
Marc Lipsitch
Professor
Harvard University
Alison Galvani
Professor
Yale University
Donald Burke
Distinguished University Professor of Health Science and Policy
University of Pittsburgh
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
What's in a model? No, really - what goes in to a model is very important. We explore how the guts of a model impacts how its used, its usefulness, and 🚨what assumptions mean for input and output🚨. With all the cool people at @viralemergence
The science of the hostâvirus network
Nature Microbiology - A network science framework for understanding and predicting human and animal susceptibility to viral infections is proposed.
www.nature.com
So great to chat with @KCBSRadio about #COVID19 https://twitter.com/kcbsradio/status/1463279194918596616
#LISTEN: On today's #AskAnExpert, @AnisabelBento explained to @QuanKCBSRadio and @dmitchinson how researching the number of deaths widespread vaccination efforts have prevented can help inform future public health policy.
https://www.audacy.com/kcbsradio/news/national/widespread-covid-19-vaccination-prevented-140-000-deaths?utm_campaign=www.audacy.com%252Fkcbsradio&utm_content=1637707920&utm_medium=social&utm_source=twitter&utm_term=KCBS-AM
come work with @ElizabethRBrow2 she is a great researcher and amazing person to work with! https://twitter.com/ElizabethRBrow2/status/1463235038716198912
I have an opening for a PhD level biostatistician interested in working on infectious disease studies. https://careers-fhcrc.icims.com/jobs/20679/staff-scientist---protocol-statistician/job?mobile=false&width=1332&height=500&bga=true&needsRedirect=false&jan1offset=-480&jun1offset=-420
Excited to share my conversation with @shanoorseervai of #TheDosePodcast. @EricSchneiderMD and I discuss our research showing how effective #COVID19 vaccines are at saving lives, and how to prepare for the next pandemic.
Find the episode here:
COVID Vaccines Save Lives, But We’re Chasing a Moving Target
On The Dose podcast, Alison Galvani and Eric Schneider use data to show COVID-19 vaccines have saved lives and are the most effective way out of the p...
thedose.show
Happy #FeatureFriday! This week we are featuring Achla Marathe. Achla is a member of the Network Systems Science and Advanced Computing division. Learn more about Achla here: https://biocomplexity.virginia.edu/person/achla-marathe
New work led by @LeahKatzelnick characterizing antigenic evolution of dengue viruses over 20 years in Thailand We found that dengue viruses became more antigenically distant from each other over time. 1/2
Antigenic evolution of dengue viruses over 20 years
For Dengue viruses, both individual antibody level and antigenic differences between specific infecting strains may be important for future disease ri...
www.science.org
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Thank you to NIGMS Grant U24GM132013 for supporting the work at the Coordination Center.
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