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- Q100693222 description "2020 ވަނަ އަހަރުގެ އޮކްޓޯބަރުމަހުގެ 16ވަނަ ދުވަހު ޝާއިރުކުރެވުނު ލިޔުމެއް" @default.
- Q100693222 description "artículu científicu espublizáu n'ochobre de 2020" @default.
- Q100693222 description "scientific article published on 16 October 2020" @default.
- Q100693222 description "wetenschappelijk artikel" @default.
- Q100693222 description "наукова стаття, опублікована 16 жовтня 2020" @default.
- Q100693222 name "It depends on how you ask: measuring bias in population surveys of compliance with COVID-19 public health guidance" @default.
- Q100693222 name "It depends on how you ask: measuring bias in population surveys of compliance with COVID-19 public health guidance" @default.
- Q100693222 name "It depends on how you ask: measuring bias in population surveys of compliance with COVID-19 public health guidance" @default.
- Q100693222 type Item @default.
- Q100693222 label "It depends on how you ask: measuring bias in population surveys of compliance with COVID-19 public health guidance" @default.
- Q100693222 label "It depends on how you ask: measuring bias in population surveys of compliance with COVID-19 public health guidance" @default.
- Q100693222 label "It depends on how you ask: measuring bias in population surveys of compliance with COVID-19 public health guidance" @default.
- Q100693222 prefLabel "It depends on how you ask: measuring bias in population surveys of compliance with COVID-19 public health guidance" @default.
- Q100693222 prefLabel "It depends on how you ask: measuring bias in population surveys of compliance with COVID-19 public health guidance" @default.
- Q100693222 prefLabel "It depends on how you ask: measuring bias in population surveys of compliance with COVID-19 public health guidance" @default.
- Q100693222 P1433 Q100693222-EDE2822C-6F87-4648-8C5A-E6FB940869CC @default.
- Q100693222 P1476 Q100693222-4B0307D4-844D-48AF-8404-20CF558ACE1D @default.
- Q100693222 P2093 Q100693222-6CF5A471-5D4F-4ACD-8293-2D787270CB45 @default.
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- Q100693222 P2093 Q100693222-EA376185-6798-4553-B68E-7D56FA4B743B @default.
- Q100693222 P31 Q100693222-770DE135-D661-4E89-8093-9560AEBA325D @default.
- Q100693222 P356 Q100693222-EE9DE11F-E7D2-406E-9403-A3E92E81AB5A @default.
- Q100693222 P50 Q100693222-84DA7A70-D2D3-4264-ABF9-7FAA6A1B8853 @default.
- Q100693222 P577 Q100693222-CA25C228-60FA-4224-B2B3-F809604539B0 @default.
- Q100693222 P698 Q100693222-A034374D-0BE4-4989-934B-CD09C280D718 @default.
- Q100693222 P921 Q100693222-044C0ACC-9FA5-4CCD-BD5A-211617390CA6 @default.
- Q100693222 P356 JECH-2020-215256 @default.
- Q100693222 P698 33067252 @default.
- Q100693222 P1433 Q3428712 @default.
- Q100693222 P1476 "It depends on how you ask: measuring bias in population surveys of compliance with COVID-19 public health guidance" @default.
- Q100693222 P2093 "Cameron Belton" @default.
- Q100693222 P2093 "Frances McGinnity" @default.
- Q100693222 P2093 "Martina Barjaková" @default.
- Q100693222 P2093 "Peter Lunn" @default.
- Q100693222 P31 Q13442814 @default.
- Q100693222 P356 "10.1136/JECH-2020-215256" @default.
- Q100693222 P50 Q88332886 @default.
- Q100693222 P577 "2020-10-16T00:00:00Z" @default.
- Q100693222 P698 "33067252" @default.
- Q100693222 P921 Q84263196 @default.