COVID-19 Scenario Modeling Hub Round 12 Announcement
January 11, 2022
Dates: January 28, 2022
Location: online
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: March 21-25, 2022
Location: Paris, France
Member Spotlight
Sandip Mandal
Scientist (Consultant)
Indian Council of Medical Research
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
Tenley Brownwright
Post Doc
University of Pittsburgh
Javier Burgos
Research Director
CIINAS CORP
Samuel Scarpino
Assistant Professor
Northeastern University
Ashley Buchanan
Adjunct Assistant Professor
Brown University
Jeanine Buchanich
Reseach Associate Professor
University of Pittsburgh
COVID-19 Researchers
Anne Shapiro
PhD Student
Boston University
Nazlican Arslan
PhD Candidate
Northwestern University
Jeffrey Morgan
Sr. Systems Engineer
Catholic University of America
Chaelin Kim
Research Assistant
Thomas Blamey
Mathematics/Statistics/Data Science Faculty
University of Hawaii
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
Top 100 Most-Cited Publications on Breast Cancer and Machine Learning Research: A Bibliometric Analysis.
Current medicinal chemistry
Hanis TM, Islam MA, Musa KI
2021-11-07
Distinct SARS-CoV-2 antibody reactivity patterns elicited by natural infection and mRNA vaccination.
NPJ vaccines
Assis R, Jain A, Nakajima R, Jasinskas A, Khan S, Palma A, Parker DM, Chau A, , Obiero JM, Tifrea D, Leung A, Grabar C, Muqolli F, Khalil G, Escobar JC, Ventura J, Davies DH, Albala B, Boden-Albala B, Schubl S, Felgner PL
2021-11-04
Addendum needed on COVID-19 travel study
The Lancet: Infectious Diseases
Lee Altenberg
2021-11-01
Prediction of Dengue Incidence in the Northeast Malaysia Based on Weather Data Using the Generalized Additive Model.
BioMed research international
Masrani AS, Nik Husain NR, Musa KI, Yasin AS
2021-10-25
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
The 2022 Call for Symposia is open! Submission deadline: February 23. https://tinyurl.com/3fxa3j73 #TropMed22
Thanks to everyone who participated in the Tenth Annual Diversity Conference this past weekend! We had an amazing group of speakers and volunteers, and a brilliant and engaged group of students. What a wonderful event!
@kevin23ma @hshoch @sciencejess_ @KayJay56
Any recent/soon-to-be genomics PhDs with experience or interest in applications to public health who are looking for a job/fellowship? Please get in touch with me!
#genomics #publichealth #postdoc
Applications for the 2022 NIAID Emerging Leaders in Data Sciences #Fellowship Program are now OPEN! This is a great opportunity to apply #informatics & #datascience techniques in #InfectiousDiseases & immune-mediated disease research. For more info – https://www.zintellect.com/Opportunity/Details/NIH-NIAID-2022-0002
Round 12 of the #COVID19 Scenario Modeling Hub is an update our #omicron scenarios taken into account our better understanding of this variant. (1/7)
https://covid19scenariomodelinghub.org/
Network data release! A few years ago we (@NAChristakis @Bruce_Landon et al) used a social network approach to study polio vaccine hesitancy in India. Network, vaccine status, and baseline covariates here: https://doi.org/10.5281/zenodo.5774086. Original paper here: https://doi.org/10.1016/j.socscimed.2016.01.024
MIDAS
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Thank you to NIGMS Grant U24GM132013 for supporting the work at the Coordination Center.
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