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http://hdl.handle.net/1942/49976| Title: | Survey on data availability and data needs for modelers during the COVID-19 pandemic | Data Creator - person: | Mazzoli, Mattia Varela-Lasheras, Irma Namorado, Sónia CAETANO, Constantino Leite, Andreia HERMANS, Lisa HENS, Niel Turkmen, Polen Kalimeri, Kyriaki Ferres, Leo Cattuto, Ciro PAOLOTTI, Daniela Verhulst, Stefaan |
Data Creator - organization: | Institute for Scientific Interchange | Rights Holder - person: | Mazzoli, Mattia | Rights Holder - organization: | Institute for Scientific Interchange | Publisher: | Zenodo | Issue Date: | 2025 | Abstract: | As part of a study aimed to identify and review data needs and availability during the COVID-19 pandemic, including both traditional and non-traditional data sources, we created survey for the modeling community in Europe. In particular the survey aims to better understand the types of data used for modeling during the pandemic, their purpose, and their limitations as well as the unmet data needs of the modeling community. | Research Discipline: | Natural sciences > Mathematical sciences and statistics > Statistics > Biostatistics, statistical methodology in epidemiology and public health (01010809) | Keywords: | COVID-19/epidemiology;Epidemiological Models;Data science | DOI: | 10.5281/zenodo.17990063 | Link to publication/dataset: | https://zenodo.org/doi/10.5281/zenodo.17990063 | Source: | Zenodo. 10.5281/zenodo.17990063 https://zenodo.org/doi/10.5281/zenodo.17990063 | License: | Creative Commons Attribution 4.0 International (CC-BY-4.0) | Access Rights: | Open Access | Category: | DS | Type: | Dataset |
| Appears in Collections: | Datasets |
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