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10.4103/ijph.IJPH_522_20

http://scihub22266oqcxt.onion/10.4103/ijph.IJPH_522_20
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32496252!ä!32496252

suck abstract from ncbi


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pmid32496252      Indian+J+Public+Health 2020 ; 64 (Supplement): S183-S187
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  • An epidemiological study of laboratory confirmed COVID-19 cases admitted in a tertiary care hospital of Pune, Maharashtra #MMPMID32496252
  • Tambe MP; Parande MA; Tapare VS; Borle PS; Lakde RN; Shelke SC
  • Indian J Public Health 2020[Jun]; 64 (Supplement): S183-S187 PMID32496252show ga
  • BACKGROUND: India has reported more than 70,000 cases and 2000 deaths. Pune is the second city in the Maharashtra state after Mumbai to breach the 1000 cases. Total deaths reported from Pune were 158 with a mortality of 5.7%. To plan health services, it is important to learn lessons from early stage of the outbreak on course of the disease in a hospital setting. OBJECTIVES: To describe the epidemiological characteristics of the outbreak of COVID-19 in India from a tertiary care hospital. METHODS: This was a hospital-based cross-sectional study which included all admitted laboratory confirmed COVID19 cases from March 31, to April 24, 2020. The information was collected in a predesigned pro forma which included sociodemographic data, duration of stay, family background, outcome, etc., by trained staff after ethics approval. Epi Info7 was used for data analysis. RESULTS: Out of the total 197 cases, majority cases were between the ages of 31-60 years with slight male preponderance. Majority of these cases were from the slums. Breathlessness was the main presenting symptom followed by fever and cough. More than 1/5(th) of patients were asymptomatic from exposure to admission. The case fatality rate among the admitted cases was 29.4%. Comorbidity was one of the significant risk factors for the progression of disease and death (odds ratio [OR] = 16.8, 95% confidence interval [CI] = 7.0 - 40.1, P < 0.0001). CONCLUSION: Mortality was higher than the national average of 3.2%; comorbidity was associated with bad prognosis.
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Betacoronavirus[MESH]
  • |COVID-19[MESH]
  • |Comorbidity[MESH]
  • |Coronavirus Infections/*epidemiology/mortality/physiopathology[MESH]
  • |Cross-Sectional Studies[MESH]
  • |Female[MESH]
  • |Hospitalization[MESH]
  • |Humans[MESH]
  • |India/epidemiology[MESH]
  • |Length of Stay[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*epidemiology/mortality/physiopathology[MESH]
  • |Risk Factors[MESH]
  • |SARS-CoV-2[MESH]
  • |Socioeconomic Factors[MESH]
  • |Spatial Analysis[MESH]
  • |Tertiary Care Centers/*statistics & numerical data[MESH]


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