SUSCEPTIBLE INFECTED MODEL BASED ON DBD PATIENTS DATA WITH POISSON DISTRIBUTION

In this thesis, we are showing a susceptible infected model which used in studying dengue virus infection, where the infection rate parameters is modeled by a time series model. Here, the new infection’s data are assumed having the Poisson distribution with the infection rate depends on the numbe...

Full description

Saved in:
Bibliographic Details
Main Author: Darmawati
Format: Theses
Language:Indonesia
Subjects:
Online Access:https://digilib.itb.ac.id/gdl/view/33602
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:33602
spelling id-itb.:336022019-01-25T15:04:11ZSUSCEPTIBLE INFECTED MODEL BASED ON DBD PATIENTS DATA WITH POISSON DISTRIBUTION Darmawati Matematika Indonesia Theses DBD, suceptible infected model, susceptible infected model with Poisson distribution, Poisson distribution. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/33602 In this thesis, we are showing a susceptible infected model which used in studying dengue virus infection, where the infection rate parameters is modeled by a time series model. Here, the new infection’s data are assumed having the Poisson distribution with the infection rate depends on the numbers of previous new infection and the previous infection rate. We apply this model to DBD’s data in Bandung, West Java. The result shows that, the model can describe the dynamics of DBD’s patients. 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
topic Matematika
spellingShingle Matematika
Darmawati
SUSCEPTIBLE INFECTED MODEL BASED ON DBD PATIENTS DATA WITH POISSON DISTRIBUTION
description In this thesis, we are showing a susceptible infected model which used in studying dengue virus infection, where the infection rate parameters is modeled by a time series model. Here, the new infection’s data are assumed having the Poisson distribution with the infection rate depends on the numbers of previous new infection and the previous infection rate. We apply this model to DBD’s data in Bandung, West Java. The result shows that, the model can describe the dynamics of DBD’s patients.
format Theses
author Darmawati
author_facet Darmawati
author_sort Darmawati
title SUSCEPTIBLE INFECTED MODEL BASED ON DBD PATIENTS DATA WITH POISSON DISTRIBUTION
title_short SUSCEPTIBLE INFECTED MODEL BASED ON DBD PATIENTS DATA WITH POISSON DISTRIBUTION
title_full SUSCEPTIBLE INFECTED MODEL BASED ON DBD PATIENTS DATA WITH POISSON DISTRIBUTION
title_fullStr SUSCEPTIBLE INFECTED MODEL BASED ON DBD PATIENTS DATA WITH POISSON DISTRIBUTION
title_full_unstemmed SUSCEPTIBLE INFECTED MODEL BASED ON DBD PATIENTS DATA WITH POISSON DISTRIBUTION
title_sort susceptible infected model based on dbd patients data with poisson distribution
url https://digilib.itb.ac.id/gdl/view/33602
_version_ 1822924044697075712