Your browser doesn't support javascript.
loading
Characteristics and predictors of Long COVID among diagnosed cases of COVID-19.
Arjun, M C; Singh, Arvind Kumar; Pal, Debkumar; Das, Kajal; G, Alekhya; Venkateshan, Mahalingam; Mishra, Baijayantimala; Patro, Binod Kumar; Mohapatra, Prasanta Raghab; Subba, Sonu Hangma.
Afiliación
  • Arjun MC; Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
  • Singh AK; Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
  • Pal D; Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
  • Das K; Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
  • G A; Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
  • Venkateshan M; College of Nursing, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
  • Mishra B; Department of Microbiology, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
  • Patro BK; Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
  • Mohapatra PR; Department of Pulmonary Medicine and Critical Care, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
  • Subba SH; Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
PLoS One ; 17(12): e0278825, 2022.
Article en En | MEDLINE | ID: mdl-36538532
Asunto(s)
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: India
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: India