Do you want to download Summary in Excel? In Step#2 Click On Summary Button then Click here
Introduction: Advance COVID-19 Forecasting calculator is based on two simple steps. In step#1, end user selects three months and enter their projected COVID-19 patients’ numbers with breakup of Mild, Severe and Critical cases for each month. In Step#2, end user can adjust formulas by entering No. of Doctors / Medics Per Patient, Shift for Doctors / Medics in 24 hours, No. of Nurses / Paramedics Per Patient, Shift for Nurses / Paramedics in 24 hours, and 1 vent caters - how many Patients for 30 days? After entering projected number of COVID-19 patients and adjusting calculation parameters, end user can simply view and print specific month’s forecast quantities for PPEs, summary of three months for PPEs and forecast ventilators’ quantities. |
1. Hashikura M, Kizu J. 2009. Stockpile of personal protective equipment in hospital settings: preparedness for influenza pandemics. Am J Infect Control. 37:703-707. (https://www.ajicjournal.org/article/S0196-6553(09)00657-9/fulltext) 2. Naval Medical Research Unit 3 (NAMRU3) and USAID Egypt. 2011. Module 2: Principles of product selection and evaluation, stock planning of essential IC supplies. Program to Improve Quality and Safety of Healthcare in Egypt, Basic Infection Control Training Course (http://reprolineplus.org/system/files/resources/IPC_M11_Programs.pdf) ** Approximations: 1. 100 patients at one facility to change surgical mask 4 times a day 2. 5 hand senitizers / facility/day 3. 10 Biohazard bags/facility/day 4. 2 powered air-purifying respirators/facility The above estimations has been based on CDC guidelines on "Estimated Personal Protective Equipment (PPE) Needed for Healthcare Facilities" https://www.cdc.gov/vhf/ebola/healthcare-us/ppe/calculator.html |
|||||||||||||
Notes: 1. This is a living tool based on guidance available through international literature for forecasting of PPE's during differenct pandemics 2. Provsion for 40% to 60% buffer has been given catering for unexpected vast outbreak |
---|
