TransMID SIGNED
Translational and Transdisciplinary research in Modeling Infectious Diseases
Total Cost €
0EC-Contrib. €
0Partnership
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0TransMID project word cloud
Explore the words cloud of the TransMID project. It provides you a very rough idea of what is the project "TransMID" about.
Project "TransMID" data sheet
The following table provides information about the project.
| Coordinator |
UNIVERSITEIT HASSELT
Organization address contact info |
| Coordinator Country | Belgium [BE] |
| Project website | http://www.socialcontactdata.org |
| Total cost | 1˙639˙168 € |
| EC max contribution | 1˙639˙168 € (100%) |
| Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
| Code Call | ERC-2015-CoG |
| Funding Scheme | ERC-COG |
| Starting year | 2016 |
| Duration (year-month-day) | from 2016-10-01 to 2021-09-30 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | UNIVERSITEIT HASSELT | BE (HASSELT) | coordinator | 1˙203˙485.00 |
| 2 | UNIVERSITEIT ANTWERPEN | BE (ANTWERPEN) | participant | 435˙683.00 |
Map
Project objective
TransMID focuses on the development of novel methods to estimate key epidemiological parameters from both serological and social contact data, with the aim to significantly expand the range of public health questions that can be adequately addressed using such data. Using new statistical and mathematical theory and newly collected as well as readily available serological and social contact data (mainly from Europe), fundamental mathematical and epidemiological challenges as outlined in the following work packages will be addressed: (a) frequency and density dependent mass action relating potential effective contacts to transmission dynamics in (sub)populations of different sizes with an empirical assessment using readily available contact data, (b) behavioural and temporal variations in contact patterns and their impact on the dynamics of infectious diseases, (c) close contact household networks and the assumption of homogeneous mixing within households, (d) estimating parameters from multivariate and serial cross-sectional serological data taking temporal effects and heterogeneity in acquisition into account in combination with the use of social contact data, and (e) finally the design of sero- and social contact surveys with specific focus on serial cross-sectional surveys. TransMID is transdisciplinary in nature with applications on diseases of major public health interest, such as pertussis, cytomegalovirus and measles. Translational methodology is placed at the heart of TransMID resulting in the development of a unifying methodology for other diseases and settings. The development of a toolbox and accompanying software allow easy and effective application of these fundamentally improved techniques on many infectious diseases and in different geographic contexts, which should maximize TransMID’s impact on public health in Europe and beyond.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2018 |
Marc Aerts, Adelino JC Juga, Niel Hens Measures for concordance and discordance with applications in disease control and prevention published pages: 96228021879625, ISSN: 0962-2802, DOI: 10.1177/0962280218796252 |
Statistical Methods in Medical Research | 2019-09-02 |
| 2019 |
Nina Keersmaekers, Benson Ogunjimi, Pierre Van Damme, Philippe Beutels, Niel Hens An ODE-based mixed modelling approach for B- and T-cell dynamics induced by Varicella-Zoster Virus vaccines in adults shows higher T-cell proliferation with Shingrix than with Varilrix published pages: 2537-2553, ISSN: 0264-410X, DOI: 10.1016/j.vaccine.2019.03.075 |
Vaccine 37/19 | 2019-09-02 |
| 2019 |
Diana M Hendrickx, Steven Abrams, Niel Hens The impact of behavioral interventions on co-infection dynamics: An exploration of the effects of home isolation published pages: 5-18, ISSN: 0022-5193, DOI: 10.1016/j.jtbi.2019.05.017 |
Journal of Theoretical Biology 476 | 2019-09-02 |
| 2018 |
Nele Goeyvaerts, Eva Santermans, Gail Potter, Andrea Torneri, Kim Van Kerckhove, Lander Willem, Marc Aerts, Philippe Beutels, Niel Hens Household members do not contact each other at random: implications for infectious disease modelling published pages: 20182201, ISSN: 0962-8452, DOI: 10.1098/rspb.2018.2201 |
Proceedings of the Royal Society B: Biological Sciences 285/1893 | 2019-09-02 |
| 2019 |
Thang Van Hoang, Pietro Coletti, Alessia Melegaro, Jacco Wallinga, Carlos G. Grijalva, John W. Edmunds, Philippe Beutels, Niel Hens A Systematic Review of Social Contact Surveys to Inform Transmission Models of Close-contact Infections published pages: 1, ISSN: 1044-3983, DOI: 10.1097/ede.0000000000001047 |
Epidemiology | 2019-08-30 |
| 2018 |
Pietro Coletti, Chiara Poletto, Clément Turbelin, Thierry Blanchon, Vittoria Colizza Shifting patterns of seasonal influenza epidemics published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-018-30949-x |
Scientific Reports 8/1 | 2019-08-30 |
| 2019 |
Stéphanie Blaizot, Sereina A. Herzog, Steven Abrams, Heidi Theeten, Amber Litzroth, Niel Hens Sample size calculation for estimating key epidemiological parameters using serological data and mathematical modelling published pages: , ISSN: 1471-2288, DOI: 10.1186/s12874-019-0692-1 |
BMC Medical Research Methodology 19/1 | 2019-09-02 |
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