Austrian Academy of Sciences

Elektronisches Publikationsportal der Österreichischen Akademie der Wissenschaften
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    Neuper, Alois (Lois)

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    * 10.6.1924 Bad Mitterndorf/St, † 27.9.2014 Bad Goisern/OÖ. Lehrer, Volksmusiker, Sammler

    Zierer, Franz Joseph (Josef)

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    * 27.10.1822 Alservorstadt (heute Wien IX), † 30.5.1903 Trattenbach/NÖ (begr. 3.6.1903 Wien, Zentralfriedhof). Lehrer, Kirchenmusiker, Komponist

    Heilbitte und Heildank: Antike Gliedervotive als Kultzeugnisse und ihre Aussagekraft für die Spezialisierung von Heil-Heiligtümern. VIRUS - Beiträge zur Sozialgeschichte der Medizin|VIRUS. Beiträge zur Sozialgeschichte der Medizin Band 19. Schwerpunkt: Objekte als Quellen der Medizingeschichte|

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    The article questions the hypothesis about the specialization of healing sanctuaries on thehealing of specific diseases by interpreting the frequency of so-called anatomical votives.Those votives represent parts of the human body and are known to be dedicated in relation tothe wish for the healing of a particular body part. But the interpretation of those objects holdssome challenges which the article addresses. There are not just multiple reasons for dedicatinga specific anatomical votive but also the way of how they are preserved – as an object itself oras a name in an inscription – must be considered. Furthermore, their quantity cannot be usedfor a representative statistical analysis. Also, their validity for medical and historical questionsis limited. Finally, a catalogue of criteria for interpreting the individual context of the objectswill be presented to sensitize to an objective interpretation

    Zierer, Anton

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    * 19.5.1765 Langenzersdorf/NÖ, † 14.6.1842 Landstraße (Wien III). Klaviermacher

    Index. Orea|Punta di Zambrone I Oriental and European Archaeology Volume 17|

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    Deriving Indicators for Points of Interest and Analyzing Mixed Activities in Urban Areas. GI_Forum|GI_Forum 2021, Volume 1|

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    This paper evaluates indicators to analyse mixed activities, representing a combination of various facilities and services, in urban areas. Although mixed activities play an important role in urban planning projects, measuring themhas been problematic due to the lack of appropriate data and measurement approaches. In ecology, there are dozens of potential diversity indices, which have been deployed in recent land use studies to measure mixed activities. However, ecologists have highlighted that these indices are not always expressed inintuitive units. Recognizing the limitation of commonly used diversity indices, Hill numbers, which represent a mathematically unified family of diversity indices, are used. Taking advantage of new data sources such as Points of Interest (POIs) from OpenStreetMap, this study applied Hill numbers on POIs to measure mixed activities at a quarter level in Frankfurt. Results showed that Hill1 (exponential of Shannon) is an appropriate quantitative measure to describe the diversity of facilities and services by a single numerical value. However, it is difficult to explain which factor, namely evenness or richness,has a stronger impact on the index. To gain a more comprehensive picture of mixed activities we suggest to considering further indicators such as evenness and richness

    An indirect method to monitor the fraction of people ever infected with COVID-19: An application to the United States

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    The number of COVID-19 infections is key for accurately monitoring the pandemics. However, due to differential testing policies, asymptomatic individuals and limited large-scale testing availability, it is challenging to detect all cases. Seroprevalence studies aim to address this gap by retrospectively assessing the number of infections, but they can be expensive and time-intensive, limiting their use to specific population subgroups. In this paper, we propose a complementary approach that combines estimated (1) infection fatality rates (IFR) using a Bayesian melding SEIR model with (2) reported case-fatality rates (CFR) in order to indirectly estimate the fraction of people ever infected (from the total population) and detected (from the ever infected). We apply the technique to the U.S. due to their remarkable regional diversity and because they count with almost a quarter of all global confirmed cases and deaths. We obtain that the IFR varies from 1.25% (0.39–2.16%, 90% CI) in Florida, the most aged population, to 0.69% in Utah (0.21–1.30%, 90% CI), the youngest population. By September 8, 2020, we estimate that at least five states have already a fraction of people ever infected between 10% and 20% (New Jersey, New York, Massachussets, Connecticut, and District of Columbia). The state with the highest estimated fraction of people ever infected is New Jersey with 17.3% (10.0, 55.8, 90% CI). Moreover, our results indicate that with a probability of 90 percent the fraction of detected people among the ever infected since the beginning of the epidemic has been less than 50% in 15 out of the 20 states analyzed in this paper. Our approach can be a valuable tool that complements seroprevalence studies and indicates how efficient have testing policies been since the beginning of the outbreak

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