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10.1017/dmp.2020.157

http://scihub22266oqcxt.onion/10.1017/dmp.2020.157
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32418556!7276503!32418556
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suck abstract from ncbi


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pmid32418556      Disaster+Med+Public+Health+Prep 2020 ; 14 (5): 638-642
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  • Predicted Effects of Stopping COVID-19 Lockdown on Italian Hospital Demand #MMPMID32418556
  • Bollon J; Paganini M; Nava CR; De Vita N; Vaschetto R; Ragazzoni L; Della Corte F; Barone-Adesi F
  • Disaster Med Public Health Prep 2020[Oct]; 14 (5): 638-642 PMID32418556show ga
  • OBJECTIVES: Italy has been one of the first countries to implement mitigation measures to curb the coronavirus disease 2019 (COVID-19) pandemic. There is currently a debate on when and how such measures should be loosened. To forecast the demand for hospital intensive care unit (ICU) and non-ICU beds for COVID-19 patients from May to September, we developed 2 models, assuming a gradual easing of restrictions or an intermittent lockdown. METHODS: We used a compartmental model to evaluate 2 scenarios: (A) an intermittent lockdown; (B) a gradual relaxation of the lockdown. Predicted ICU and non-ICU demand was compared with the peak in hospital bed use observed in April 2020. RESULTS: Under scenario A, while ICU demand will remain below the peak, the number of non-ICU will substantially rise and will exceed it (133%; 95% confidence interval [CI]: 94-171). Under scenario B, a rise in ICU and non-ICU demand will start in July and will progressively increase over the summer 2020, reaching 95% (95% CI: 71-121) and 237% (95% CI: 191-282) of the April peak. CONCLUSIONS: Italian hospital demand is likely to remain high in the next months. If restrictions are reduced, planning for the next several months should consider an increase in health-care resources to maintain surge capacity across the country.
  • |COVID-19/*complications/epidemiology[MESH]
  • |Health Services Needs and Demand/*statistics & numerical data[MESH]
  • |Hospitalization/statistics & numerical data[MESH]
  • |Hospitals/statistics & numerical data[MESH]
  • |Humans[MESH]
  • |Intensive Care Units/organization & administration/statistics & numerical data[MESH]
  • |Italy/epidemiology[MESH]
  • |Pandemics/*prevention & control/statistics & numerical data[MESH]
  • |Quarantine/*methods/standards/statistics & numerical data[MESH]


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