EXPLORATION OF EPIGRO METHOD TO DETERMINE THE PEAK AND TOTAL CASES OF OUTBREAKS

The arising of many outbreaks lately, such as the case of 2014/2015 Ebola outbreak and the increasing number of cases of many outbreaks, such as the case of measles have pushed many researcher and scientists and public health community to think new ideas for developing mathematical models that ca...

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Main Author: Juanda, Ari
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/39193
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:39193
spelling id-itb.:391932019-06-24T13:58:03ZEXPLORATION OF EPIGRO METHOD TO DETERMINE THE PEAK AND TOTAL CASES OF OUTBREAKS Juanda, Ari Indonesia Final Project epidemiology, Ebola, mathematical model, EpiGro, inverted parabola, outbreak. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/39193 The arising of many outbreaks lately, such as the case of 2014/2015 Ebola outbreak and the increasing number of cases of many outbreaks, such as the case of measles have pushed many researcher and scientists and public health community to think new ideas for developing mathematical models that can provide useful information for public health community. Scientists from different fields extending from medicine and molecular biology to computer science and applied mathematics have teamed up for getting an accurate model of potentially urgent situations when an outbreak occur. On this article, we will discuss a data-driven method, EpiGro, which can be applied to cumulative case reports to estimate the order of magnitude of the duration, peak, and ultimate size of an ongoing outbreak. This method uses inverted parabola estimation obtained from historic and ongoing epidemics, does not require knowledge or estimation of disease transmission parameters, and runs quickly due to its mathematical simplicity. We will also provide modeling considerations that justify this approach and discuss its limitations and weaknesses. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description The arising of many outbreaks lately, such as the case of 2014/2015 Ebola outbreak and the increasing number of cases of many outbreaks, such as the case of measles have pushed many researcher and scientists and public health community to think new ideas for developing mathematical models that can provide useful information for public health community. Scientists from different fields extending from medicine and molecular biology to computer science and applied mathematics have teamed up for getting an accurate model of potentially urgent situations when an outbreak occur. On this article, we will discuss a data-driven method, EpiGro, which can be applied to cumulative case reports to estimate the order of magnitude of the duration, peak, and ultimate size of an ongoing outbreak. This method uses inverted parabola estimation obtained from historic and ongoing epidemics, does not require knowledge or estimation of disease transmission parameters, and runs quickly due to its mathematical simplicity. We will also provide modeling considerations that justify this approach and discuss its limitations and weaknesses.
format Final Project
author Juanda, Ari
spellingShingle Juanda, Ari
EXPLORATION OF EPIGRO METHOD TO DETERMINE THE PEAK AND TOTAL CASES OF OUTBREAKS
author_facet Juanda, Ari
author_sort Juanda, Ari
title EXPLORATION OF EPIGRO METHOD TO DETERMINE THE PEAK AND TOTAL CASES OF OUTBREAKS
title_short EXPLORATION OF EPIGRO METHOD TO DETERMINE THE PEAK AND TOTAL CASES OF OUTBREAKS
title_full EXPLORATION OF EPIGRO METHOD TO DETERMINE THE PEAK AND TOTAL CASES OF OUTBREAKS
title_fullStr EXPLORATION OF EPIGRO METHOD TO DETERMINE THE PEAK AND TOTAL CASES OF OUTBREAKS
title_full_unstemmed EXPLORATION OF EPIGRO METHOD TO DETERMINE THE PEAK AND TOTAL CASES OF OUTBREAKS
title_sort exploration of epigro method to determine the peak and total cases of outbreaks
url https://digilib.itb.ac.id/gdl/view/39193
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