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(Changed short description, added Goals section, and edited project summary section)
 
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|Main Image=
 
|Main Image=
 
|Scope=Kepler
 
|Scope=Kepler
|Field=Biology, Biomedical Engineering, Medical Biology
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|Field=Biology, Biomedical Engineering, Medical Biology, Physics - Mechanics
 
|Project Status=Active
 
|Project Status=Active
 
|Start Date=2020/06/22
 
|Start Date=2020/06/22
 
|End Date=
 
|End Date=
 
|Repository=https://github.com/LilTeethDoc/Epidemiology
 
|Repository=https://github.com/LilTeethDoc/Epidemiology
|Short Description=A project in medical biology and epidemiology.
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|Short Description=Analyze data, patterns, and effects of the COVID-19 pandemic.
 
|Project Leader=DrAmbica
 
|Project Leader=DrAmbica
 
|Collaborators=Pjagada
 
|Collaborators=Pjagada
|Description=We are currently planning to work on generating data seta & statistical models for a pandemic and achieve results that may provide some more clarity about the disease process and how it spreads.
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|Description=We are currently planning to work on generating data seta & statistical models for the ongoing COVID-19 pandemic and achieve results that may provide some more clarity about the disease process and how it spreads, including concepts such as comorbidities and re-infection rates.
 
The purpose of this project is to apply epidemiology principles and implement basic research methodologies, to the current worldwide situations, thereby allowing the students to learn how diseases are studied and controlling measures are formulated by biomedical researchers.
 
The purpose of this project is to apply epidemiology principles and implement basic research methodologies, to the current worldwide situations, thereby allowing the students to learn how diseases are studied and controlling measures are formulated by biomedical researchers.
 
|Deliverables=In progress
 
|Deliverables=In progress
 
}}
 
}}
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==<span class="mw-headline-content">Goals</span>==
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===<span class="mw-headline-content">Comorbidities</span>===
  
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* We need a better understanding of which comorbidities are the most important in the intensity of the coronavirus for a person. We have heard that those with conditions like heart disease, compromised immune systems, and diabetes are at greater risk to experience more severe and dangerous systems, but there is a lack of studies that show any statistical significance for these.
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===Re-infection Rates===
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* We also will collect data on re-infection rates to attempt to find a pattern and learn more about how re-infection works with the coronavirus.
 
{{ProjectPosts}}
 
{{ProjectPosts}}
 
{{Bibliography}}
 
{{Bibliography}}

Latest revision as of 00:25, July 1, 2020

Bio Bugs

Analyze data, patterns, and effects of the COVID-19 pandemic.

A Kepler-level Biomedical Engineering / Medical Biology / Biology / Physics - Mechanics project led by Ambica Mallipeddi in collaboration with Pranav Jagada.

Student Team: Anika Sridhar, Sriya Chebrolu, Anika Chebrolu, Madhalasa Iyer and Joelle Gregory-Stewart

Sponsoring Patron: Krista Stepney

Began: June 22, 2020

Project Summary: We are currently planning to work on generating data seta & statistical models for the ongoing COVID-19 pandemic and achieve results that may provide some more clarity about the disease process and how it spreads, including concepts such as comorbidities and re-infection rates. The purpose of this project is to apply epidemiology principles and implement basic research methodologies, to the current worldwide situations, thereby allowing the students to learn how diseases are studied and controlling measures are formulated by biomedical researchers.

Project Repository: https://github.com/LilTeethDoc/Epidemiology

Deliverables

In progress

Project Timeline

There are no tasks currently associated with this project.

Goals

Comorbidities

  • We need a better understanding of which comorbidities are the most important in the intensity of the coronavirus for a person. We have heard that those with conditions like heart disease, compromised immune systems, and diabetes are at greater risk to experience more severe and dangerous systems, but there is a lack of studies that show any statistical significance for these.

Re-infection Rates

  • We also will collect data on re-infection rates to attempt to find a pattern and learn more about how re-infection works with the coronavirus.

Project Posts

No posts yet.