About: COVID-19 infection in Hokkaido, Japan might depend on the viscosity of atmospheric air

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About: COVID-19 infection in Hokkaido, Japan might depend on the viscosity of atmospheric air Goto Sponge NotDistinct Permalink

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scientific article published on 10 December 2020

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rdf:type	Item
description	wetenschappelijk artikel (nl) article scientifique publié en 2020 (fr) artículu científicu espublizáu n'avientu de 2020 (ast) 2020 թվականի դեկտեմբերի 10-ին հրատարակված գիտական հոդված (hy) scientific article published on 10 December 2020 (en) наукова стаття, опублікована 10 грудня 2020 (uk) 2020 ވަނަ އަހަރުގެ ޑިސެމްބަރުމަހުގެ 10ވަނަ ދުވަހު ޝާއިރުކުރެވުނު ސައިންޓިފިކް ލިޔުމެއް (dv)
publication date	wds:Q104289864-0FE7461B-A476-4B5C-8F4C-9A3FE125EF83
publication date	2020-12-10 00:00:00Z (xsd:dateTime)
cites work	wds:Q104289864-12934341-FF34-4DC0-AC79-15953A1E13A1 wds:Q104289864-174F63F6-E163-473E-ABCA-A19515AC9787 wds:Q104289864-1FA24598-9B54-433D-B797-F58511294784 wds:Q104289864-28434531-29A8-47A7-8CFC-28878D8A25B6 wds:Q104289864-2D96D666-6BD7-40AE-8310-60DF215A2916 wds:Q104289864-2DDCDA5C-D266-4F5C-95CC-FB71DB3847BC wds:Q104289864-3941FC23-D9FC-4595-9591-A03AE1F38BCE wds:Q104289864-3D549980-4799-494C-8541-74C3100D48C9 wds:Q104289864-41BF735B-F150-47E5-A2E8-8106E262EF58 wds:Q104289864-4640D0E8-0476-4DF4-AF41-89D4E32E54C6 wds:Q104289864-48EA2E41-A9AE-4F38-B62A-8A34245F7CEA wds:Q104289864-49052718-0A78-4E69-8389-B8EBE8D2FA81 wds:Q104289864-4F037418-EC84-42EE-BDDA-3E063BFD25B7 wds:Q104289864-5CB4E695-E75F-4F58-9FBD-B974203C939E wds:Q104289864-661F51D4-9D4E-4390-9342-0E1AD0E45F03 wds:Q104289864-6A2989A1-60BE-43CF-BDEB-DBBAE9504AD4 wds:Q104289864-7DE37B44-E5D6-41D8-BB2A-FE2981388768 wds:Q104289864-88DE0629-64CB-4582-BAD4-EA63E15243EF wds:Q104289864-8A608C02-DE1B-4563-8FFC-AF0DD6DCCD70 wds:Q104289864-8B6D4D1A-0CDB-4984-9DD9-355AACDBB938 wds:Q104289864-96543418-2F75-4983-9648-07953CB1F6D2 wds:Q104289864-9858D0DE-23A0-46AF-8A57-F8632BF02FE7 wds:Q104289864-989423DF-2692-4653-BCAE-F60014BDF9E8 wds:Q104289864-9998E7BA-1BBB-47B8-8F99-68638F0936C6 wds:Q104289864-B104A36A-0A79-4521-BA5C-839600130C63 wds:Q104289864-C3275BC5-DB8B-49F8-99D9-ECBD43DAAE29 wds:Q104289864-CDAFDB53-63C1-4DF5-A5A7-21AC5ABA5421 wds:Q104289864-D0C58161-C082-43ED-A322-B1CD921101DE wds:Q104289864-D9293524-16F5-433B-B20B-3C9E084F3618 wds:Q104289864-E1AC36C3-16C6-4387-B060-44F365C20B28 wds:Q104289864-E3116067-2576-4098-9C6E-057DE0564D90 wds:Q104289864-EBE29A46-3993-4B2E-A43B-F7809C0AD362 wds:Q104289864-EEB3149A-9C2E-482F-BF74-98CB7D706B9F wds:Q104289864-FBD34E10-2893-4902-A16D-90FBBA9655E4 wds:Q104289864-FDA4752C-7F36-4672-9A38-4D194CED692C
cites work	Effect of relative humidity on the airborne survival of rhinovirus-14. Survival characteristics of airborne human coronavirus 229E Detection of airborne severe acute respiratory syndrome (SARS) coronavirus and environmental contamination in SARS outbreak units. A new framework and software to estimate time-varying reproduction numbers during epidemics Severe acute respiratory syndrome coronavirus on hospital surfaces. A Contribution to the Mathematical Theory of Epidemics Influenza Survival of airborne influenza virus: effects of propagating host, relative humidity, and composition of spray fluids Disease metaphors in new epidemics: the UK media framing of the 2003 SARS epidemic Effect of temperature and relative humidity on the stability of infectious porcine reproductive and respiratory syndrome virus in aerosols A new coronavirus associated with human respiratory disease in China A novel coronavirus outbreak of global health concern Aerosol and Surface Stability of SARS-CoV-2 as Compared with SARS-CoV-1 An initial investigation of the association between the SARS outbreak and weather: with the view of the environmental temperature and its variation Aerosol and surface contamination of SARS-CoV-2 observed in quarantine and isolation care Weather impact on airborne coronavirus survival Household secondary attack rate of COVID-19 and associated determinants in Guangzhou, China: a retrospective cohort study Incubation Period and Other Epidemiological Characteristics of 2019 Novel Coronavirus Infections with Right Truncation: A Statistical Analysis of Publicly Available Case Data Distribution of the SARS-CoV-2 Pandemic and Its Monthly Forecast Based on Seasonal Climate Patterns The viscosity of atmospherically relevant organic particles. Aerodynamic analysis of SARS-CoV-2 in two Wuhan hospitals Airborne Transmission Route of COVID-19: Why 2 Meters/6 Feet of Inter-Personal Distance Could Not Be Enough Impact of meteorological factors on COVID-19 pandemic: Evidence from top 20 countries with confirmed cases Regression models for convex ROC curves Transmission of COVID-19 in the terminal stage of incubation period: a familial cluster Experimental Aerosol Survival of SARS-CoV-2 in Artificial Saliva and Tissue Culture Media at Medium and High Humidity Persistence of SARS-CoV-2 in the environment and COVID-19 transmission risk from environmental matrices and surfaces The role of environmental factors on transmission rates of the COVID-19 outbreak: an initial assessment in two spatial scales Populational survey of arthropods on transgenic common bean expressing the rep gene from Bean golden mosaic virus Influenza and humidity--Why a bit more damp may be good for you! The clinical and immunological features of pediatric COVID-19 patients in China Using the contact network model and Metropolis-Hastings sampling to reconstruct the COVID-19 spread on the "Diamond Princess" Airborne SARS-CoV-2 is Rapidly Inactivated by Simulated Sunlight Correlation between COVID-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity Spread of SARS-CoV-2 through Latin America and the Caribbean region: A look from its economic conditions, climate and air pollution indicators
author name string	wds:Q104289864-04F828DC-51EC-48AA-9C42-8EAF80852E1D wds:Q104289864-2234064A-25CB-4DC5-A7C8-CBD338E3EDBA wds:Q104289864-55548978-98CB-46CB-B259-7747C2321C06 wds:Q104289864-62A95E24-309E-4797-A4F7-F189A5CE7B8C wds:Q104289864-77D7B08D-A850-4FE9-86D0-20E7F1E786AF wds:Q104289864-AA2C40C4-A1BA-445E-B692-260C4BFD4E77 wds:Q104289864-DEF68FE0-930C-4315-8899-CFD5E3E7D3FE
author name string	Takeshi Mikami Nobuhiro Mikuni Yukinori Akiyama Yusuke Kimura Masayasu Arihara Katsuya Komatsu Kyoya Sakashita
rdfs:label	COVID-19 infection in Hokkaido, Japan might depend on the viscosity of atmospheric air (dv) COVID-19 infection in Hokkaido, Japan might depend on the viscosity of atmospheric air (en) COVID-19 infection in Hokkaido, Japan might depend on the viscosity of atmospheric air (nl)
skos:prefLabel	COVID-19 infection in Hokkaido, Japan might depend on the viscosity of atmospheric air (dv) COVID-19 infection in Hokkaido, Japan might depend on the viscosity of atmospheric air (en) COVID-19 infection in Hokkaido, Japan might depend on the viscosity of atmospheric air (nl)

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