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- Q102071647 description "article scientifique publié en 2020" @default.
- Q102071647 description "artículu científicu espublizáu n'ochobre de 2020" @default.
- Q102071647 description "scientific article published on 28 October 2020" @default.
- Q102071647 description "wetenschappelijk artikel" @default.
- Q102071647 description "наукова стаття, опублікована 28 жовтня 2020" @default.
- Q102071647 name "Identifying post-COVID vulnerable groups: A cross-sectional survey among different professions in China during the final stage of lockdown" @default.
- Q102071647 name "Identifying post-COVID vulnerable groups: A cross-sectional survey among different professions in China during the final stage of lockdown" @default.
- Q102071647 name "Identifying post-COVID vulnerable groups: A cross-sectional survey among different professions in China during the final stage of lockdown" @default.
- Q102071647 type Item @default.
- Q102071647 label "Identifying post-COVID vulnerable groups: A cross-sectional survey among different professions in China during the final stage of lockdown" @default.
- Q102071647 label "Identifying post-COVID vulnerable groups: A cross-sectional survey among different professions in China during the final stage of lockdown" @default.
- Q102071647 label "Identifying post-COVID vulnerable groups: A cross-sectional survey among different professions in China during the final stage of lockdown" @default.
- Q102071647 prefLabel "Identifying post-COVID vulnerable groups: A cross-sectional survey among different professions in China during the final stage of lockdown" @default.
- Q102071647 prefLabel "Identifying post-COVID vulnerable groups: A cross-sectional survey among different professions in China during the final stage of lockdown" @default.
- Q102071647 prefLabel "Identifying post-COVID vulnerable groups: A cross-sectional survey among different professions in China during the final stage of lockdown" @default.
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- Q102071647 P31 Q102071647-C6A39A04-A56B-4879-BEEB-4B53ABFF8204 @default.
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- Q102071647 P356 24240 @default.
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- Q102071647 P1433 Q6295534 @default.
- Q102071647 P1476 "Identifying post-COVID vulnerable groups: A cross-sectional survey among different professions in China during the final stage of lockdown" @default.
- Q102071647 P2093 "Ali Zafar" @default.
- Q102071647 P2093 "Gwendolyn Mayer" @default.
- Q102071647 P2093 "Jobst-Hendrik Schultz" @default.
- Q102071647 P2093 "Junfeng Du" @default.
- Q102071647 P2093 "Nadine Gronewold" @default.
- Q102071647 P2093 "Neele Oetjen" @default.
- Q102071647 P2093 "Svenja Hummel" @default.
- Q102071647 P31 Q13442814 @default.
- Q102071647 P356 "10.2196/24240" @default.
- Q102071647 P577 "2020-10-28T00:00:00Z" @default.
- Q102071647 P698 "33197231" @default.
- Q102071647 P932 "7713530" @default.