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During the outbreak of a disease caused by a pathogen with unknown characteristics, the uncertainty of its progression parameters can be reduced by devising methods that, based on rational assumptions, exploit available information to provide actionable insights. In this study, performed a few (~6) weeks into the outbreak of COVID-19 (caused by SARS-CoV-2), one of the most important disease parameters, the average time-to-recovery, was calculated using data publicly available on the internet (daily reported cases of confirmed infections, deaths, and recoveries), and fed into an algorithm that matches confirmed cases with deaths and recoveries. Unmatched cases were adjusted based on the matched cases calculation. The mean time-to-recovery, calculated from all globally reported cases, was found to be 18.01 days (SD 3.31 days) for the matched cases and 18.29 days (SD 2.73 days) taking into consideration the adjusted unmatched cases as well. The proposed method used limited data and provided experimental results in the same region as clinical studies published several months later. This indicates that the proposed method, combined with expert knowledge and informed calculated assumptions, could provide a meaningful calculated average time-to-recovery figure, which can be used as an evidence-based estimation to support containment and mitigation policy decisions, even at the very early stages of an outbreak. [ABSTRACT FROM AUTHOR]

Many researchers and practitioners consider ethnic segregation in neighbourhoods or schools detrimental to migrants' acculturation in host societies. Empirically, however, segregation is a 'mixed bag' and its effects depend crucially on the investigated acculturation domain (e.g., negative for language skills, positive for well‐being). As most prior studies have focused on a restricted spectrum of acculturation, a comprehensive assessment within one single study is needed to establish comparability across different acculturation domains. Among over 8000 immigrant‐background students from four countries, we investigated the association of classroom segregation, defined as opportunities for contact with natives and other migrants, with a broad spectrum of acculturation (academic, attitude‐related, identity‐related, social, health‐related, and psychological criteria). Some findings were consistent (e.g., academic acculturation), some were contrary to prior research (e.g., social acculturation). In sum, our results shed light on the 'mixed bag' of segregation and contribute to the understanding of a crucial social issue. [ABSTRACT FROM AUTHOR]