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S Sauermann, C. Kanjala, M. Templ:
"Preservation of individuals´ privacy in shared COVID-19 related data";
SSRN, http://dx.doi.org/10.2139/ssrn.3648430 (2020), 1 - 13.

This paper gives insight into the pseudo-anonymization and anonymization of COVID-19 data sets. First, methods for the pseudo-anonymization of direct identification variables are discussed. We also discuss different pseudo-IDs of the same person for multi-domain and multi-organization. Essentially, pseudo- anonymization and its encrypted IDs are used to successfully match data later if required and permitted, as well as to restore the true ID (and authenticity) in individual cases of a patient's clarification.
To make the re-identification of individual persons of COVID-19 (that are often enriched with other covariates like age, gender, nationality, etc.) impossible, the successful re-identification by a combination of attribute values must be prevented. This is done with methods of statistical disclosure control for anonymization of data.

Covid19 data, Anonymization, Statistical Disclosure Control

https://www.rd-alliance.org/system/files/RDA-COVID-19-Epidemiology_Data_Sharing%28v0.052_2020-06-15%29.pdf