While most governments try to hide the facts and manipulate statistics about COVOD-19 due to political/economical/stupidity reasons, many physicians and scientists are currently working on finding cures for COVOD-19. I am curious whether there is any center/platform to use experts from different areas of research in this fight.
To be clearer, let me ask this:
I work in biomedical engineering department. I, my colleagues and our students are familiar with optimization, data analysis, artificial intelligence, time-series analysis, modeling, control and …
I hope there might be a center which can provide some data, plus some tasks, so we can do some real and useful research and have a share in this fight.
Just a saying: maybe a proper deep neural network can suggest best combination of drugs according to the available history.
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P.S.
My question is about the direct fight. I don’t mean helping in e.g. producing masks, cloths and …
There are two fronts:
1) Short-time efforts that can ease the crisis management, e.g., alternative ways to use/adapt equipment to healthcare needs, taking notes of new empirical knowledge, check the mathematical models, etc.
2) Medium and long term efforts: remediate the healthcare, political and economic by-products the pandemic. I particularly think production engineering can be of great help because several practices could be reorganized to ease all economic sectors.
We can test, validate and suggest some good fitting models for the underline data of COVOD-19 for quick recognition analysis.
Hello,
There is a website that proposes to solve puzzle for science : https://fold.it/
You can propose algorithms but also computing time and ressources with your PC.
You should check it out.
In System Dynamics, there are models for the spread of a disease. They partition a group of people into three: the susceptible, the infected, and the recovered individuals. The current data can be used to estimate some parameters within the model. From there, it is possible to predict the further development of the spread of the disease. This information can be used to determine how much capacity for the treatment of infected people is needed and at what time in the future there will be a peak infection (assuming that the underlying parameters about the infection rate do not change over time).
Very Useful & Innovative query -
Usefull Engineering - https://www.researchgate.net/post/Whether_Bio-Technological_Research_is_essential_to_develope_our_nation_including_the_threats_of_Corona_Virus-How
Useful Mathematical Modelling - Microbial both Bacterial & Viral Kinetics -
MICROBIAL GROWTH KINETICS : A MATHEMATICAL REVIEW
- August 2019
- DOI:
- 10.13140/RG.2.2.14645.01762/4
- License
- CC BY-SA 4.0
One can do statistical analysis with the data of spreading COVID-19. Then also we can find some fitting or law to predict how this virus is spreading and in which area it can spread most. But it is very difficult to find real data. Because it's not a matter of one country. We need data from all over the world and then only we can try to find a good statistical measure to predict the area and control.
https://hackaday.com/2020/03/12/ultimate-medical-hackathon-how-fast-can-we-design-and-deploy-an-open-source-ventilator/
Something else would be to 3D print T for the nurses to put multiple patients on the same ventilator:
https://youtu.be/uClq978oohY
If you have an open source file of it, share so I can print some ;)
The COVID-19 virus affects the breathing process of the affected people. As the speech production mechanism has some partial relation with the breathing process, it can be expected that there will be a change (w.r.t normal) in speech characteristics of the patient. We can do some analysis on the speech samples of COVID-19 patients and can build some models to identify the new sufferers in advance.
It is a problem to put several patients on same ventilator since every has a different need. It can be done only if there is a central air pressure source and every patient is monitored by a for his needs set pressure /flow regulator and frequency control.
Building AI algorithms that can assist medical staff for detection COVID19 as well as analysing the data ti reduce the outbreak.
Engineers can help in inventing better and rapid method for testing covid, mathmaticians can model the transmission of the covid@Mohammed and Sajad
I suggest that you delete the conspiracy theories of yours. No-one is interested. COVOD?? What is that?
The mathematical modelling equations are developed to combine the mathematical model for a Pseudo – Gaussian distribution curve – for Growth of Covid19 . The superimposition of Gaussiun curve with Microbial growth curve can be fitted for the resulant model equation considering the sharp Exponential spreading of the Virus .
REF : https://osf.io/78jvr/
There are two fronts:
1) Short-time efforts that can ease the crisis management, e.g., alternative ways to use/adapt equipment to healthcare needs, taking notes of new empirical knowledge, check the mathematical models, etc.
2) Medium and long term efforts: remediate the healthcare, political and economic by-products the pandemic. I particularly think production engineering can be of great help because several practices could be reorganized to ease all economic sectors.
Engineers can help in inventing better and rapid method for testing covid, mathmaticians can model the transmission of the covid@Mohammed and Sajad
Biomedical engineers can help in vaccine production by developing an active ingredients extractor for alternative medicine vaccine
Biomedical engineers can help in vaccine production by developing an active ingredients extractor for alternative medicine vaccine
Engineers might develop COVID-19 sensors/detectors.
Mathematicians might find the COVID-19 patterns of behavior to set a counterattack/blocking strategy.
Sajad: You have watched too many silly thrillers on TV - stop it!
Dear Sajad Jafari, keep 1.5 m distance from others, wear a mask, clean your hands often, and...focus on your research work! 😎
Genarally there are two types of suppot . Mathematical Modelling as well as Molecular modelling but the problem is that if we start some set of dataset and
when a model is simulated -as per iterative approach the result should coencide with the another data set of the same mutants under identical condition . But the
problem is that Covid19 fails the reproducibility /reliability of the study .
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