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10.7189/jogh.10.020508

http://scihub22266oqcxt.onion/10.7189/jogh.10.020508
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33110591!7567443!33110591
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suck abstract from ncbi


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pmid33110591      J+Glob+Health 2020 ; 10 (2): 020508
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  • Coronavirus: An insight into global research until outbreak of COVID-19 and its implications for the future #MMPMID33110591
  • Klingelhofer D; Braun M; Bruggmann D; Groneberg DA
  • J Glob Health 2020[Dec]; 10 (2): 020508 PMID33110591show ga
  • BACKGROUND: The currently prevailing global threat of COVID-19 caused the publication numbers on coronaviruses to explode. The awareness of the scientific and public community is enormous. But what about the sense of all these undertakings and what can be learned about the future for a better understanding? These questions were answered with established bibliometric analyses of the time until the avalanche of publications unfolded. METHODS: Chronological, geographical aspects of publication output on coronavirus were also evaluated under the influence of epidemiological and socio-economic parameters. RESULTS: The trend in publication and citation numbers shows the strong influence of the past pandemics SARS and MERS with an untypical decline afterward. Research is becoming increasingly multidisciplinary over time. The USA and China, as the countries with the highest number of publications, are being displaced by other countries in the consideration of socio-economic and epidemiological aspects, which shows the effect of regional interest in corona research. A significant correlation was found between the number of SARS cases per country and related publications, while no correlation was found for MERS cases and articles. CONCLUSIONS: The results underline the need for sustainable and forward-looking approaches that should not end with the containment of COVID-19.
  • |*Bibliometrics[MESH]
  • |*Coronavirus Infections[MESH]
  • |*Pandemics[MESH]
  • |*Pneumonia, Viral[MESH]
  • |Betacoronavirus[MESH]
  • |Biomedical Research/*trends[MESH]
  • |COVID-19[MESH]
  • |Disease Outbreaks/statistics & numerical data[MESH]
  • |Forecasting/*methods[MESH]
  • |Humans[MESH]


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