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Disaggregated data on age and sex for the first 250 days of the COVID-19 pandemic in Bucharest, Romania
Marian-Gabriel Hâncean, Maria Cristina Ghiţǎ, Matjaž Perc, Jürgen Lerner, Iulian Oană, Bianca-Elena Mihǎilǎ, Adelina Alexandra Stoica, David-Andrei Bunaciu, 2022, original scientific article

Abstract: Experts worldwide have constantly been calling for high-quality open-access epidemiological data, given the fast-evolving nature of the COVID-19 pandemic. Disaggregated high-level granularity records are still scant despite being essential to corroborate the effectiveness of virus containment measures and even vaccination strategies. We provide a complete dataset containing disaggregated epidemiological information about all the COVID-19 patients officially reported during the first 250 days of the COVID-19 pandemic in Bucharest (Romania). We give the sex, age, and the COVID-19 infection confirmation date for 46.440 individual cases, between March 7th and November 11th, 2020. Additionally, we provide context-wise information such as the stringency levels of the measures taken by the Romanian authorities. We procured the data from the local public health authorities and systemized it to respond to the urgent international need of comparing observational data collected from various populations. Our dataset may help understand COVID-19 transmission in highly dense urban communities, perform virus spreading simulations, ascertain the effects of non-pharmaceutical interventions, and craft better vaccination strategies.
Keywords: disaggregated data, age, sex, COVID-19, pandemic, Romania
Published in DKUM: 15.07.2024; Views: 92; Downloads: 7
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Occupations and their impact on the spreading of COVID-19 in urban communities
Marian-Gabriel Hâncean, Jürgen Lerner, Matjaž Perc, Iulian Oană, David-Andrei Bunaciu, Adelina Alexandra Stoica, Maria Cristina Ghiţǎ, 2022, original scientific article

Abstract: The current pandemic has disproportionally afected the workforce. To improve our understanding of the role that occupations play in the transmission of COVID-19, we analyse real-world network data that were collected in Bucharest between August 1st and October 31st 2020. The data record sex, age, and occupation of 6895 patients and the 13,272 people they have interacted with, thus providing a social network from an urban setting through which COVID-19 has spread. Quite remarkably, we fnd that medical occupations have no signifcant efect on the spread of the virus. Instead, we fnd common transmission chains to start with infected individuals who hold jobs in the private sector and are connected with non-active alters, such as spouses, siblings, or elderly relatives. We use relational hyperevent models to assess the most likely homophily and network efects in the community transmission. We detect homophily with respect to age and anti-homophily with respect to sex and employability. We note that, although additional data would be welcomed to perform more in-depth network analyses, our fndings may help public authorities better target under-performing vaccination campaigns.
Keywords: occupation, urban community, spreading of disease, covid-19
Published in DKUM: 15.07.2024; Views: 79; Downloads: 7
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