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V2P (Vector to People) Disease Prediction : A Differential Equation Approach

Ayush Sachdeva1

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-7 , Page no. 317-321, Jul-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i7.317321

Online published on Jul 31, 2018

Copyright © Ayush Sachdeva . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Ayush Sachdeva, “V2P (Vector to People) Disease Prediction : A Differential Equation Approach,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.317-321, 2018.

MLA Style Citation: Ayush Sachdeva "V2P (Vector to People) Disease Prediction : A Differential Equation Approach." International Journal of Computer Sciences and Engineering 6.7 (2018): 317-321.

APA Style Citation: Ayush Sachdeva, (2018). V2P (Vector to People) Disease Prediction : A Differential Equation Approach. International Journal of Computer Sciences and Engineering, 6(7), 317-321.

BibTex Style Citation:
@article{Sachdeva_2018,
author = {Ayush Sachdeva},
title = {V2P (Vector to People) Disease Prediction : A Differential Equation Approach},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {6},
Issue = {7},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {317-321},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2435},
doi = {https://doi.org/10.26438/ijcse/v6i7.317321}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i7.317321}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2435
TI - V2P (Vector to People) Disease Prediction : A Differential Equation Approach
T2 - International Journal of Computer Sciences and Engineering
AU - Ayush Sachdeva
PY - 2018
DA - 2018/07/31
PB - IJCSE, Indore, INDIA
SP - 317-321
IS - 7
VL - 6
SN - 2347-2693
ER -

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Abstract

The devastating effect of vector-borne diseases is well-known in tropical and sub-tropical regions across the globe. Mosquitos serve as vectors to spread diseases such as dengue and malaria which cause wide-spread desolation on a yearly basis. By carrying contagious pathogens, they infect millions of people across various countries, putting the health of many at risk and causing numerous fatalities. Measures of prevention and control prove to be widely unsuccessful due to the lack of a targeted approach. This results in the sub-optimal allocation of over-stretched healthcare and financial resources. Moreover, traditional control methods prove to be hazardous when used excessively and indiscriminately. They are recommended to be used only where needed. By virtue of the factors discussed, there arises a need for a scientific method to predict areas with high susceptibility and a system designed to scale the model to larger geographical areas.

Key-Words / Index Term

Human Mosquito Contact Rate, Infected Class, SIR Model, Susceptible Class

References

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[2] Oloko-oba Mustapha O., Badru R. A, Popoola O. S., Alaga T. A., Ogunyemi S. A., Samson S. A., "Assessment of Filling Station in Ilorin, Kwara State, Nigeria Using Geospatial Techniques", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 1, Issue 2, pp.69-74, September-October.2016