TY - GEN
T1 - Canines Rabies Epidemic and Control Simulator
AU - Youngjitikornkun, Chawapat
AU - Jiwattanakul, Jirawat
AU - Kusakunniran, Worapan
AU - Wiratsudakul, Anuwat
AU - Thanapongtharm, Weerapong
AU - Chumkaeo, Arun
AU - Leelahapongsathon, Kansuda
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/21
Y1 - 2020/10/21
N2 - Rabies, a fatal and infectious disease, is still endemic in all regions of Thailand. Domestic dogs are the most common reservoir of the virus. In a practical routine, it has a measure to control a disease with a mass vaccination, but operation is not effective due to the large area of operation protocol and difficulty in tracking an infected dog. In order to make a tool to help tracking an epidemic area, this paper presents the implementation of rabies epidemic simulation. The world generation and spatial data are generated from Mapbox SDK in Unity engine. Dog behavior and homerange are determined from a normal distribution and kernel density estimation method. Rabies infected dogs are modeled in SEIR model and their behavior is determined from a normal distribution combined with a factor probability value calculated from the incline and home position. The result shows that the coverage area of epidemic can cover other reported cases with a shorter radius than a vaccination protocol but giving a high RO result due to the dog group sample and unpredictable repeat bite of infected dog.
AB - Rabies, a fatal and infectious disease, is still endemic in all regions of Thailand. Domestic dogs are the most common reservoir of the virus. In a practical routine, it has a measure to control a disease with a mass vaccination, but operation is not effective due to the large area of operation protocol and difficulty in tracking an infected dog. In order to make a tool to help tracking an epidemic area, this paper presents the implementation of rabies epidemic simulation. The world generation and spatial data are generated from Mapbox SDK in Unity engine. Dog behavior and homerange are determined from a normal distribution and kernel density estimation method. Rabies infected dogs are modeled in SEIR model and their behavior is determined from a normal distribution combined with a factor probability value calculated from the incline and home position. The result shows that the coverage area of epidemic can cover other reported cases with a shorter radius than a vaccination protocol but giving a high RO result due to the dog group sample and unpredictable repeat bite of infected dog.
KW - dog behavior
KW - epidemic
KW - rabies
KW - simulation
KW - vaccination
UR - http://www.scopus.com/inward/record.url?scp=85100160739&partnerID=8YFLogxK
U2 - 10.1109/InCIT50588.2020.9310933
DO - 10.1109/InCIT50588.2020.9310933
M3 - Conference contribution
AN - SCOPUS:85100160739
T3 - InCIT 2020 - 5th International Conference on Information Technology
SP - 98
EP - 103
BT - InCIT 2020 - 5th International Conference on Information Technology
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Information Technology, InCIT 2020
Y2 - 21 October 2020 through 22 October 2020
ER -