Dates: June 3-9, 2022
Location: Atlanta, Georgia, USA
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
Training & Events
Dates: June 7-8, 2022
Location: online
Dates: June 17, 2022
Location: online
MIDAS Network Visualization (Beta Release)
The MIDAS Network Visualization is a view of the MIDAS-related collaborations in graph form with two types of nodes: member nodes and institution nodes. Member nodes represent MIDAS members and edges link to collaborators on an infectious disease paper published by the member. Institution nodes represent institutions with members in the MIDAS network and edges link to all MIDAS members of the institution.
This is a beta release. Please explore the graph and send any comments/bugs/suggestions to questions@midasnetwork.us.
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
Amy Goldberg
Assistant Professor
Duke University
Hasan Guclu
Professor
Istanbul Medeniyet University
Gregory Cooper
Professor of Biomedical Informatics
University of Pittsburgh
Darcy Rao
Acting Assistant Professor
University of Washington
Edwin Oh
Associate Professor
University of Nevada, Las Vegas
COVID-19 Researchers
Chrispin Chaguza
Postdoctoral Associate
Yale University
Jin Wang
Professor and UNUM Chair of Excellence
University of Tennessee Chattanooga
Vladimir Minin
Professor
University of California Irvine
Tyler Meadows
Postdoctoral Fellow
University of Idaho
Meggan Craft
Associate Professor
University of Minnesota
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
Real World Performance of SARS-CoV-2 Antigen Rapid Diagnostic Tests in Various Clinical Settings.
Infection control and hospital epidemiology
Regev-Yochay G, Kriger O, Mina MJ, Beni S, Rubin C, Mechnik B, Hason S, Biber E, Nadaf B, Kreiss Y, Amit S
2022-03-02
North to south gradient and local waves of influenza in Chile.
Scientific reports
Garcia-Calavaro C, Harrison LH, Pokutnaya D, Mair CF, Brooks MM, van Panhuis W
2022-02-14
Impact of the COVID-19 Pandemic on Chronic Disease Care in India, China, Hong Kong, Korea, and Vietnam.
Asia-Pacific journal of public health
Singh K, Xin Y, Xiao Y, Quan J, Kim D, Nguyen TP, Kondal D, Yan X, Li G, Ng CS, Kang H, Minh Nam H, Mohan S, Yan LL, Shi C, Chen J, Thi Hong Hanh H, Mohan V, Kong S, Eggleston K,
2022-01-22
Longitudinal analysis reveals high prevalence of Epstein-Barr virus associated with multiple sclerosis.
Science (New York, N.Y.)
Bjornevik K, Cortese M, Healy BC, Kuhle J, Mina MJ, Leng Y, Elledge SJ, Niebuhr DW, Scher AI, Munger KL, Ascherio A
2022-01-14
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
New #epiverse job posting: develop open-source R tools for outbreak preparedness @cmmid_lshtm or @mrcunitgambia
@rozeggo @sbfnk
Job Opportunity at LSHTM: Research Software Engineer (x2)
The London School of Hygiene & Tropical Medicine is a world-leading centre for research and postgraduate education in public and global health. Our mi...
jobs.lshtm.ac.uk
Save the date and consider applying for a lightning talk if you're a grad student or early postdoc! https://twitter.com/WiNS_Society/status/1529510392673673217
🚨Excited to announce that @WiNS_Society & Diversify NetSci will host a joint satellite @netsci2022!🚨
Date & Time: 8am-12pm EDT, July 14-16, 2022
Due June 10: submissions for lightning talks by grad students + postdocs at https://tinyurl.com/jointshowcase2022
Save the date & please RT!
One week left to register (free of charge!) for the #BIFI2022 Conference to be held, fully online, from 7 to 9 June. Check our program at http://bifi22.bifi.es/program/ and proceed to register using the link at http://bifi22.bifi.es/registration-3/ We are looking forward to seeing you in 2 weeks!
NIAID seeks a DATA Scholar with experience in #AI & knowledge representation methods to design & test a prototype knowledge graph with AI-ready info about a “prototype virus” chosen from 1 of the 20 #virus families with pandemic potential. #Apply by 5/27!
NIAID Data and Technology Advancement (DATA) National Service Scholar
Rockville, Maryland (remote work allowable) Office of the Director, Office of Data Science and Emerging Technologies (ODSET) Closes: May 27, 2022
bit.ly
Thrilled to announce that our data science (modeling/analytics) jobs are now live for the @cdcgov Center for Forecasting and Outbreak Analytics:
closing June 3 so apply now!
Proud to see this in print and to have had the opportunity to work with @thecallumarnold @sreesrini94 @TheFerrariLab and other @ciddpsu folks on this #SARSCoV2 #longitudinal #cohort study. https://twitter.com/TheFerrariLab/status/1528759054713118721
It was a long road, but it’s exciting to finally see this work by @thecallumarnold & @Sreesrini94 in print. We document assortativity in the Fall 2020 COVID outbreak in students & residents despite high transmission (>30% sero+) in students https://www.nature.com/articles/s41598-022-12499-5
MIDAS
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Contact us: questions@midasnetwork.us
Thank you to NIGMS Grant U24GM132013 for supporting the work at the Coordination Center.
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