Background:Due to uncertainties encompassing the transmission dynamics of COVID-19,mathematical models informing the trajectory of disease are being proposed throughout the world.Current pandemic is also characterized...Background:Due to uncertainties encompassing the transmission dynamics of COVID-19,mathematical models informing the trajectory of disease are being proposed throughout the world.Current pandemic is also characterized by surge in hospitalizations which has overwhelmed even the most resilient health systems.Therefore,it is imperative to assess health system preparedness in tandem with need projections for comprehensive outlook.Objective:We attempted this study to forecast the need for hospital resources for one year period and correspondingly assessed capacity and tipping points of Indian health system to absorb surges in need due to COVID-19.Methods:We employed age-structured deterministic SEIR model and modified it to allow for testing and isolation capacity to forecast the need under varying scenarios.Projections for documented cases were made for varying degree of containment and mitigation strategies.Correspondingly,data on health resources was collated from various government records.Further,we computed daily turnover of each of these resources which was then adjusted for proportion of cases requiring mild,severe and critical care to arrive at maximum number of COVID-19 cases manageable by health care system of India.Findings:Our results revealed pervasive deficits in the capacity of public health system to absorb surge in need during peak of epidemic.Also,model suggests that continuing strict lockdown measures in India after mid-May 2020 would have been ineffective in suppressing total infections significantly.Augmenting testing to 1,500,000 tests per day during projected peak(mid-September)under social-distancing measures and current test to positive rate of 9.7%would lead to more documented cases(60,000,000 to 90,000,000)culminating to surge in demand for hospital resources.A minimum allocation of 13x,70x and 37x times more beds for mild cases,ICU beds and mechanical ventilators respectively would be required to commensurate with need under that scenario.However,if testing capacity is limited to 9,000,000展开更多
文摘Background:Due to uncertainties encompassing the transmission dynamics of COVID-19,mathematical models informing the trajectory of disease are being proposed throughout the world.Current pandemic is also characterized by surge in hospitalizations which has overwhelmed even the most resilient health systems.Therefore,it is imperative to assess health system preparedness in tandem with need projections for comprehensive outlook.Objective:We attempted this study to forecast the need for hospital resources for one year period and correspondingly assessed capacity and tipping points of Indian health system to absorb surges in need due to COVID-19.Methods:We employed age-structured deterministic SEIR model and modified it to allow for testing and isolation capacity to forecast the need under varying scenarios.Projections for documented cases were made for varying degree of containment and mitigation strategies.Correspondingly,data on health resources was collated from various government records.Further,we computed daily turnover of each of these resources which was then adjusted for proportion of cases requiring mild,severe and critical care to arrive at maximum number of COVID-19 cases manageable by health care system of India.Findings:Our results revealed pervasive deficits in the capacity of public health system to absorb surge in need during peak of epidemic.Also,model suggests that continuing strict lockdown measures in India after mid-May 2020 would have been ineffective in suppressing total infections significantly.Augmenting testing to 1,500,000 tests per day during projected peak(mid-September)under social-distancing measures and current test to positive rate of 9.7%would lead to more documented cases(60,000,000 to 90,000,000)culminating to surge in demand for hospital resources.A minimum allocation of 13x,70x and 37x times more beds for mild cases,ICU beds and mechanical ventilators respectively would be required to commensurate with need under that scenario.However,if testing capacity is limited to 9,000,000
