Data-Powered Positive Deviance during the SARS-CoV-2 Pandemic—An Ecological Pilot Study of German Districts
We introduced the mixed-methods Data-Powered Positive Deviance (DPPD) framework as a potential addition to the set of tools used to search for effective response strategies against the SARS-CoV-2 pandemic. For this purpose, we conducted a DPPD study in the context of the early stages of the German S...
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doaj-67ad74e6836549efa37670d95d3f6a432021-09-26T00:19:57ZengMDPI AGInternational Journal of Environmental Research and Public Health1661-78271660-46012021-09-01189765976510.3390/ijerph18189765Data-Powered Positive Deviance during the SARS-CoV-2 Pandemic—An Ecological Pilot Study of German DistrictsJoshua Driesen0Ziad El-Khatib1Niklas Wulkow2Mitchell Joblin3Iskriyana Vasileva4Andreas Glücker5Valentin Kruspel6Catherine Vogel7Driesen Data Analytics, 04317 Leipzig, GermanyDepartment of Global Public Health, Karolinska Institutet, Solna, 17177 Stockholm, SwedenDepartment of Mathematics and Computer Science, Zuse Institute Berlin, Freie Universität Berlin, 14195 Berlin, GermanySiemens AG Corporate Technology, 80333 Munich, GermanyIskriyana Vasileva Data Science, 10997 Berlin, GermanyDeutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, Postfach 5180, 65726 Eschborn, GermanyDeutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, Postfach 5180, 65726 Eschborn, GermanyDeutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, Postfach 5180, 65726 Eschborn, GermanyWe introduced the mixed-methods Data-Powered Positive Deviance (DPPD) framework as a potential addition to the set of tools used to search for effective response strategies against the SARS-CoV-2 pandemic. For this purpose, we conducted a DPPD study in the context of the early stages of the German SARS-CoV-2 pandemic. We used a framework of scalable quantitative methods to identify positively deviant German districts that is novel in the scientific literature on DPPD, and subsequently employed qualitative methods to identify factors that might have contributed to their comparatively successful reduction of the forward transmission rate. Our qualitative analysis suggests that quick, proactive, decisive, and flexible/pragmatic actions, the willingness to take risks and deviate from standard procedures, good information flows both in terms of data collection and public communication, alongside the utilization of social network effects were deemed highly important by the interviewed districts. Our study design with its small qualitative sample constitutes an exploratory and illustrative effort and hence does not allow for a clear causal link to be established. Thus, the results cannot necessarily be extrapolated to other districts as is. However, the findings indicate areas for further research to assess these strategies’ effectiveness in a broader study setting. We conclude by stressing DPPD’s strengths regarding replicability, scalability, adaptability, as well as its focus on local solutions, which make it a promising framework to be applied in various contexts, e.g., in the context of the Global South.https://www.mdpi.com/1660-4601/18/18/9765Data-Powered Positive Deviancepandemic responseSARS-CoV-2mixed methods |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Joshua Driesen Ziad El-Khatib Niklas Wulkow Mitchell Joblin Iskriyana Vasileva Andreas Glücker Valentin Kruspel Catherine Vogel |
spellingShingle |
Joshua Driesen Ziad El-Khatib Niklas Wulkow Mitchell Joblin Iskriyana Vasileva Andreas Glücker Valentin Kruspel Catherine Vogel Data-Powered Positive Deviance during the SARS-CoV-2 Pandemic—An Ecological Pilot Study of German Districts International Journal of Environmental Research and Public Health Data-Powered Positive Deviance pandemic response SARS-CoV-2 mixed methods |
author_facet |
Joshua Driesen Ziad El-Khatib Niklas Wulkow Mitchell Joblin Iskriyana Vasileva Andreas Glücker Valentin Kruspel Catherine Vogel |
author_sort |
Joshua Driesen |
title |
Data-Powered Positive Deviance during the SARS-CoV-2 Pandemic—An Ecological Pilot Study of German Districts |
title_short |
Data-Powered Positive Deviance during the SARS-CoV-2 Pandemic—An Ecological Pilot Study of German Districts |
title_full |
Data-Powered Positive Deviance during the SARS-CoV-2 Pandemic—An Ecological Pilot Study of German Districts |
title_fullStr |
Data-Powered Positive Deviance during the SARS-CoV-2 Pandemic—An Ecological Pilot Study of German Districts |
title_full_unstemmed |
Data-Powered Positive Deviance during the SARS-CoV-2 Pandemic—An Ecological Pilot Study of German Districts |
title_sort |
data-powered positive deviance during the sars-cov-2 pandemic—an ecological pilot study of german districts |
publisher |
MDPI AG |
series |
International Journal of Environmental Research and Public Health |
issn |
1661-7827 1660-4601 |
publishDate |
2021-09-01 |
description |
We introduced the mixed-methods Data-Powered Positive Deviance (DPPD) framework as a potential addition to the set of tools used to search for effective response strategies against the SARS-CoV-2 pandemic. For this purpose, we conducted a DPPD study in the context of the early stages of the German SARS-CoV-2 pandemic. We used a framework of scalable quantitative methods to identify positively deviant German districts that is novel in the scientific literature on DPPD, and subsequently employed qualitative methods to identify factors that might have contributed to their comparatively successful reduction of the forward transmission rate. Our qualitative analysis suggests that quick, proactive, decisive, and flexible/pragmatic actions, the willingness to take risks and deviate from standard procedures, good information flows both in terms of data collection and public communication, alongside the utilization of social network effects were deemed highly important by the interviewed districts. Our study design with its small qualitative sample constitutes an exploratory and illustrative effort and hence does not allow for a clear causal link to be established. Thus, the results cannot necessarily be extrapolated to other districts as is. However, the findings indicate areas for further research to assess these strategies’ effectiveness in a broader study setting. We conclude by stressing DPPD’s strengths regarding replicability, scalability, adaptability, as well as its focus on local solutions, which make it a promising framework to be applied in various contexts, e.g., in the context of the Global South. |
topic |
Data-Powered Positive Deviance pandemic response SARS-CoV-2 mixed methods |
url |
https://www.mdpi.com/1660-4601/18/18/9765 |
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