MCA Dataset
About
This dataset contains additional resources and references to the work performed and the data collected in the MCA ("Mobile Corona Analytik) project of Leibniz Universität Hannover and its project partners.
In particular, the dataset provides demonstrators of the developed software and possible drafts of standard operating procedures for operating a university-based diagnostic laboratory with screening facilities during pandemics.
Related publications
Journal articles
- Mobile SARS‑CoV‑2 screening facilities for rapid deployment and university-based diagnostic laboratory; DOI: 10.1002/elsc.202200026
- Low impact of regular PCR testing on presence at work site during the COVID-19 pandemic: Experiences during an open observational study in Lower Saxony 2020-21; DOI: 10.1186/s12889-023-15036-9
- Comparison of two antibody screening systems for SARS-CoV-2 antibody detection in recovered and vaccinated subjects - test performance and possible indicators for immunity; DOI: 10.1016/j.jcv.2022.105322
- Combined Prospective Seroconversion and PCR Data of Selected Cohorts Indicate a High Rate of Subclinical SARS-CoV-2 Infections — an Open Observational Study in Lower Saxony, Germany; DOI: 10.1128/spectrum.01512-21
- Children and Adolescents’ Behavioral Patterns in Response to Escalating COVID-19 Restriction Reveal Sex and Age Differences; DOI: 10.1016/j.jadohealth.2021.11.021
- Students’ age and parental level of education influence COVID-19 vaccination hesitancy; DOI: 10.1007/s00431-021-04343-1
- Nachweismethoden von SARS-CoV-2 - Dem Coronavirus auf der Spur; DOI: 10.1002/ciuz.202000058
Letters
- Signs of immunosenescence correlate with poor outcome of mRNA COVID-19 vaccination in older adults; DOI: 10.1038/s43587-022-00292-y
- Response to "Letter in response to 'Students' age and parental level of education influence COVID-19 vaccination hesitancy'"; DOI: 10.1007/s00431-022-04432-9
Additional resources
How to cite
If you analyze, cite or otherwise use the provided resources e.g. in academic research, please always include a citation of the following publication instead of this dataset: 10.1002/elsc.202200026.
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