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Predicting the prog...
Predicting the progress of COVID-19 : the case for Turkey
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- Özdinc, Mesut (författare)
- Åbo Akademi University, Finland;Mimar Sinan FA University, Turkey
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- Senel, Kerem (författare)
- İstanbul University-Cerrahpaşa, Turkey
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- Ozturkcan, Selcen (författare)
- Linnéuniversitetet,Institutionen för marknadsföring (MF),Sabanci University, Turkey,DISA;DISA-IDP
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- Akgul, Ahmet (författare)
- İstanbul University-Cerrahpaşa, Turkey
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(creator_code:org_t)
- 2020
- 2020
- Engelska.
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Ingår i: Turkiye Klinikleri Journal of Medical Sciences. - : Türkiye Klinikleri. - 1300-0292 .- 2146-9040. ; 40:2, s. 117-119
- Relaterad länk:
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https://doi.org/10.5...
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https://www.turkiyek...
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https://lnu.diva-por... (primary) (Raw object)
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https://doi.org/10.5...
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https://urn.kb.se/re...
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https://doi.org/10.5...
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Abstract
Ämnesord
Stäng
- The SIR model is applied to a dataset of 43 days from the beginning of the COVID-19 pandemic in Turkey. Model outputs regarding the estimates of effective reproduction number and peak date of the maximum number of actively infected are presented. Favorable impact of social distancing measures are observed in comparing model outputs on progressive days. Findings are valuable for policy and decision makers in shedding light on the next phases of the pandemic.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
Nyckelord
- COVID-19
- Turkey
- epidemic models
- SIR
- coronavirus
- Health and Caring Sciences
- Hälsovetenskap
- Statistics/Econometrics
- Statistik
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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