The utility of 2009 H1N1 pandemic data in understanding the transmission potential and estimating the burden of COVID-19 in RSA to guide mitigation strategies

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dc.contributor.author Phaswana-Mafuya, Nancy
dc.contributor.author Shisana, Olive
dc.contributor.author Gray, Glenda
dc.contributor.author Zungu, Nompumelelo Precious
dc.contributor.author Bekker, Linda-Gail
dc.contributor.author Kuonza, Lazarus
dc.contributor.author Zuma, Khangelani
dc.contributor.author Baral, Stefan
dc.date.accessioned 2021-03-24T07:52:53Z
dc.date.available 2021-03-24T07:52:53Z
dc.date.issued 2020-05-25
dc.description.abstract The coronavirus disease (COVID-19) caused by the severe acute respiratory syndrome coronavirus (SARS-CoV-2) rapidly became a public health emergency of international concern requiring urgent attention. It emerged late in 2019 in China as a respiratory pathogen, with the first epicentres observed in Iran, Spain and northern Italy. At the time of writing there were about 4 525 497 cases and 307 395 deaths worldwide, of which 1 409 452 cases and 85 860 deaths were in the USA, which is the most affected country in absolute terms. The COVID-19 pandemic has been marked by extreme heterogeneity in both geography and population across the world. Consequently, leveraging local data aligned to the unique South African (SA) context is critical. Moreover, comprehensive mathematical models should integrate the full complexity of transmission dynamics observed with COVID-19 in the context of rapidly changing individual, social and structural determinants in SA. en_ZA
dc.description.department Psychology en_ZA
dc.description.librarian am2021 en_ZA
dc.description.uri http://www.samj.org.za en_ZA
dc.identifier.citation Phaswana-Mafuya, N., Shisana, O., Gray, G. et al. 2020, 'The utility of 2009 H1N1 pandemic data in understanding the transmission potential and estimating the burden of COVID-19 in RSA to guide mitigation strategies', South African Medical Journal, vol. 110, no. 8, pp. 576-577. en_ZA
dc.identifier.issn 0256-9574 (print)
dc.identifier.issn 2078-5135 (online)
dc.identifier.other 10.7196/SAMJ.2020. v110i7.14935
dc.identifier.uri http://hdl.handle.net/2263/79044
dc.language.iso en en_ZA
dc.publisher Health and Medical Publishing Group en_ZA
dc.rights © 2020, South African Medical Association. This article is licensed under a Creative Commons Attribution-NonCommercial Works License (CC BY-NC 3.0). en_ZA
dc.subject Transmission en_ZA
dc.subject COVID-19 pandemic en_ZA
dc.subject South Africa (SA) en_ZA
dc.subject Coronavirus disease 2019 (COVID-19) en_ZA
dc.subject Severe acute respiratory syndrome coronavirus (SARS-CoV-2) en_ZA
dc.subject Mitigation en_ZA
dc.title The utility of 2009 H1N1 pandemic data in understanding the transmission potential and estimating the burden of COVID-19 in RSA to guide mitigation strategies en_ZA
dc.type Article en_ZA


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