COVID-19 has been impacting us all globally, nationally, and locally. The challenges we are

dealing with are expanding across many domains. COVID-19 outbreak is a human tragedy affecting not

only thousands of people but also the global economy. The situation is constantly evolving

, resulting in varying implications. Therefore, we continue to need quick and robust

analyses to prevent as much risk as possible, if possible.

On April 8, 2020, about two years ago, there were 3,021 new cases of COVID in New Jersey,

and the 7-day average was 3,597. On April 8, 2021, new cases of COVID in New Jersey were

4,332, and the 7-day average was 3,984. On April 8, 2022, new cases of COVID in New Jersey

were 2,018, and the 7-day average was 1,560. So although we are seemingly doing better with the

distribution of vaccines, the numbers are not exactly supporting the case, at least in New Jersey.

Hospital occupancy was a major concern over the last two years and continues to be so if

numbers spike. In fact, one of the many challenges states and hospitals face is hospital

capacity during the spikes.

we are interested in expanding our understanding of the demand/supply

challenges hospitals face when numbers peak (beds, equipment, medical staffing, PPE, etc.). We

would like to use your expertise to help us with the following case:

- You are the CEO of a 100-bed hospital with 10 ICU beds in New Jersey. The next nearby

The 1000-bed hospital is 100 miles away. You were allocated $4 million to deal with the

surge. How would you give your resources to ensure patients receive the care they

need while the staff is protected?

- What parameters and metrics do you need to construct a model for this analysis?

- How sensitive is your response to the parameters you used in your model?

- Explain how robust your resource allocation is given specific uncertainties you have

incorporated into your model?

- Recommendations based on the following scenario.

Please explain everything in detail with the random data that can be chosen. Attach the files where it is required.

Thanks