Risk Calculator VS COVID-19

Proj-riskcalculator

https://solve.mit.edu/challenges/health-security-pandemics/solutions/20816  

Introduction

Problem and back ground- The current health crisis of the world is getting very critical because it is not only killing patients but also the medicals staffs who are treating the patients. In China, more than 3,000 doctors were infected, nearly half of them in Wuhan, where the pandemic began, according to Chinese government statistics. Li Wenliang, the Chinese doctor who first tried to raise the alarm about Covid-19, eventually died of it. In Italy, the number of infected heath care workers is now twice the Chinese total, and the National Federation of Orders of Surgeons and Dentists has compiled a list of 50 who have died. Nearly 14 percent of Spain’s confirmed Coronavirus cases are medical professionals. Even though the data of how many medical personals have been infected is not reported to the public, it is not hard to imagine it is very large in number because of the level of infection in that city. This data is very worrying and if we see the world infection data for patient VS the medical staff, you can see it is matter of time that we no longer have sufficient medical personals to control the put break.

Solution summary in simple terms- This project is building algorithms that calculate the chance or probability of infection occurrence on medical personal based on their activities and rotates with other medical staff to even the risk. If you are a medical staff working on treatment of the patient who has been infected with the Coronavirus, the longer you work in the hospital or in the treatment center, the more work load there is and that will make you tried at each work hours and when you get tired you will lose focus which makes you less carful to protect yourself from being infected with the coronavirus while treating patients. so we need to collect data like the average time duration of infected medical personals who has been infected while on the job, we need comparison data on the time duration of work VS work load because if the medical stuff have low number of patients but spent higher duration on the treatment center it does not mean they are at risk but if both factors are found to be high they are statistically high. 

Solution summary in technical terms- This project is building algorithms that calculate the chance or probability of infection occurrence on medical personal based on their activities and rotates with other medical staff to even the risk. This is very important because, no medical staff should hold the burden of getting high probability of getting infected with Coronavirus by himself or herself. This project will show that we have appreciation for our medical staff and this will be a good way of showing it besides clapping our hand in our window being in protected our home which does not really provide much help in protection of their health besides being a moral strength. The working mechanism of the algorithm bases on the data we gather from other infected medical personals like the data that shows how many patients they treated, how many risky medical operations or treatments they had, how many hours of work they spent in the treatment center, their physical conditions and other factors before they got infected with the Coronavirus. This calculation will help us to estimate mathematically, which medical staff is in risk of getting infection and switch her/ him to lower load faculty and bring other personals sharing the risk equally.     

State of advancement- Currently this project is at design stage and when the design has been finished we will transition to building the prototype. I have been designing the basic algorithms on how it will work with the limited time have and I could not manage to finalize the design. So the next step of the project is hiring experts to finish my work on the design and build the prototype. This will require resources like payment for experts including the material cost. 

The project needs experts like

• Data analyst,
• Software developer,
• Doctor.

Project timeline- The algorithm can be built in matter of weeks with right team in place and there need to be complete transparency of the data between the developer and the hospital centers in supplying the required input listed above. In order for the algorithm to function as intended we need to register and record every activities of the medical staffs which is the basic procedure of standard medicals centers, so the algorithms most likely be very practical. Assuming this project have the funding, it will have the following time line

Team hiring- 2 to 3 weeks

Local experts like software dveloper and doctors

Designing, material purchasing and data collection– 3 to 4 weeks

Local market supply

Prototype building and data collection- 8 to 10 weeks

Workshop rent, production

Project implementation 

The current health crisis of the world is getting very critical because it is not only killing patients but also the medicals staffs who are treating the patients. In China, more than 3,000 doctors were infected, nearly half of them in Wuhan, where the pandemic began, according to Chinese government statistics. Li Wenliang, the Chinese doctor who first tried to raise the alarm about Covid-19, eventually died of it. In Italy, the number of infected heath care workers is now twice the Chinese total, and the National Federation of Orders of Surgeons and Dentists has compiled a list of 50 who have died. Nearly 14 percent of Spain’s confirmed Coronavirus cases are medical professionals. Even though the data of how many medical personals have been infected is not reported to the public, it is not hard to imagine it is very large in number because of the level of infection in that city. This data is very worrying and if we see the world infection data for patient VS the medical staff, you can see it is matter of time that we no longer have sufficient medical personals to control the put break.

This project is building algorithms that calculate the chance or probability of infection occurrence on medical personal based on their activities and rotates with other medical staff to even the risk. This is very important because, no medical staff should hold the burden of getting high probability of getting infected with Coronavirus by himself or herself. This project will show that we have appreciation for our medical staff and this will be a good way of showing it besides clapping our hand in our window being in protected our home which does not really provide much help in protection of their health besides being a moral strength. The working mechanism of the algorithm bases on the data we gather from other infected medical personals like the data that shows how many patients they treated, how many risky medical operations or treatments they had, how many hours of work they spent in the treatment center, their physical conditions and other factors before they got infected with the Coronavirus. This calculation will help us to estimate mathematically, which medical staff is in risk of getting infection and switch her/ him to lower load faculty and bring other personals sharing the risk equally.     

The algorithm can be built in matter of days with right team in place and there need to be complete transparency of the data between the developer and the hospital centers in supplying the required input listed above. In order for the algorithm to function as intended we need to register and record every activities of the medical staffs which is the basic procedure of standard medicals centers, so the algorithms most likely be very practical. 

For more information please visit https://solve.mit.edu/challenges/health-security-pandemics/solutions/20816

Expected result- This project is about solving the current Coronavirus crisis of the world by developing a simple algorithm that supports medical staffs to do their work while protecting their health condition.

The main outcome of this project is increased safety for the medical staffs fighting this pandemic by facing it in the front line.

Safety, quality assurance and regulation 

The main point of this project is creating or developing a mechanism that can insure the safety of medical staffs during this coronavirus crisis using numerical analysis as a basic tool. This project will increase the work quality of the process of fighting the Coronavirus in all over the world increasing the safety of the general population by decreasing the risk on the medical staffs who are very critical in controlling this crisis.

Impact, issue and risk

The impact of the project depends on the result it brings towards insuring the seafty of medical workers from the coronavirus. Meaning, the productivity of the mechanism will be direct implication of the impact it will bring locally and globally. This project has no issue and has no risks if implemented. 

Team experience

I have dedicated my life for invention and research because not only I have big dreams but also it is my only way out of poverty. We all have a talent we know or did not find out yet. Mine happens to be inventing. I discovered this talent of mine when I was in second year student during my university life. Starting from that point everything seemed not important except creating new ideas. So, until now I have invented more than 50 inventions which are new to the world and the rest are intended for Ethiopia that will change the life of many people including mine. But because of poverty, theft and

many reasons I could not manage to make it. But all that matter is I will never give up. I will invent until and after I become successful. That makes me a strong entrepreneur. My skills are aided with a mechanical engineering degree on design, production and sales expertise. You can find some of my inventions via https://contest.techbriefs.com/profile?user=89682,

https://www.herox.com/crowdsourcing-community/antenehgashaw-123126 ,

https://desall.com/User/AntenehGashaw/Portfolio

https://challenges.openideo.com/profiles/antenh.g/contributions#recent-contributions

My latest big international honors are

- Winner of Mechanical maker challenge by NASA/ JPL- 2019 with my design invention

“Mechanical eye”

- Finalist in TKF plastic innovation challenge 2019 with my invention “Smart green washer”

- Top 100 inventions of 2019 by create the future contest by tech briefs with my project “Cone solar panel”

- Top 10 winner of TIA challenge 2019 with my multiple unique solutions and invention

- Finalist in Enel challenge on MV & LV distribution challenge 2019 with my invention “Turbine for avoiding birds in MV & LV distribution lines

I believe that I have made many contributions to science so far for example

- In the recent Hawaii natural problem challenge which is the saving the Ohi’a challenge (https://conservationx.com/challenge/invasives/ohia), I submitted more than 30 possible solution which you can see via https://conservationx.com/challenge/invasives/ohia/projects

- I have invented a mechanism that will solve the hurricane crisis of the USA for good and I am looking for a department to submit my white paper which you can see via

https://www.herox.com/ideas/128-solving-us-hurricane

- I have proposed a way that will solve the Caribbean Sargassum problem which you can see via https://conservationx.com/project/id/372/caribbeanssargassumproblem

- I have designed a Green- technology that will solve the micro fiber problem in the oceans which you can see via https://2019.spaceappschallenge.org/challenges/earths-oceans/trashcleanup/teams/the-saviors/project

- I have designed a Green- technology that will solve the micro Plastic problem in the oceans which you can see via https://contest.techbriefs.com/2019/entries/medical/9465

- I have many contribution for agriculture industry with my multiple project like

https://challenges.openideo.com/challenge/food-system-vision-prize/opensubmission/isolation-farming

- I have contributed to teraforming Mars with my project Melting mars polar ice cap

https://www.globalinnovationexchange.org/innovation/melting-mars-polar-ice-cap

- I have contributed on reduction of plastics in packaging in beverage industries with my project bottle belt https://contest.techbriefs.com/2019/entries/sustainable-technologies/9466

- You can find some of my more than 50 inventions or my contribution to science via

https://contest.techbriefs.com/profile?user=89682, https://www.herox.com/crowdsourcingcommunity/antenehgashaw-123126 , https://desall.com/User/AntenehGashaw/Portfolio

So far I am publishing my work on many platform that are committed to solve the coronavirus beside JOGL. For example I have published 18 projects for SOLVE MIT pandemic challenge which is committed to solve this crisis which you can see via 

https://solve.mit.edu/challenges/health-security-pandemics/solutions/22229

https://solve.mit.edu/challenges/health-security-pandemics/solutions/21752

https://solve.mit.edu/challenges/health-security-pandemics/solutions/20816 ;

https://solve.mit.edu/challenges/health-security-pandemics/solutions/21295 ;

https://solve.mit.edu/challenges/health-security-pandemics/solutions/20404 ;

https://solve.mit.edu/challenges/health-security-pandemics/solutions/20037 ;

https://solve.mit.edu/challenges/health-security-pandemics/solutions/19817 ;

https://solve.mit.edu/challenges/health-security-pandemics/solutions/19875 ;

https://solve.mit.edu/challenges/health-security-pandemics/solutions/19737 ;

https://solve.mit.edu/challenges/health-security-pandemics/solutions/19715 ;

https://solve.mit.edu/challenges/health-security-pandemics/solutions/19673 ;

https://solve.mit.edu/challenges/health-security-pandemics/solutions/19658 ;

https://solve.mit.edu/challenges/health-security-pandemics/solutions/19611 ;

https://solve.mit.edu/challenges/health-security-pandemics/solutions/19521 ;

https://solve.mit.edu/challenges/health-security-pandemics/solutions/19420 ;

https://solve.mit.edu/challenges/health-security-pandemics/solutions/19324  ;

https://solve.mit.edu/challenges/health-security-pandemics/solutions/19521