| 000 -LEADER |
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| fixed length control field |
01323nam a22001457a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
210806b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--AUTHOR |
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| Author |
AIFUWA, GODWIN OSADOLOR |
| 245 ## - TITLE STATEMENT |
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| Title |
MODELLING THE TRANSMISSION DYNAMICS OF MALARIA USING SEIRS MODEL |
| 250 ## - SUPERVISOR |
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| Supervisor |
Matthew O. Adewole, PhD |
| 260 ## - IMPRINT |
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| Place of publication |
Ibafo |
| Department (College) |
Computer Science and Mathematics |
| Date of publication |
2020 |
| 300 ## - COLLATION |
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| Pagination |
ix; 45 |
| Other physical details |
dia, tables |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
Several mathematical and statistical models have been used to describe the<br/>features involved in the transmission of malaria. However malaria still remains<br/>the most widespread and life-threatening disease among the known vector-borne<br/>diseases. In this work, an SEIR model is adapted to capture the basic features<br/>regarding the dynamics of malaria. We obtain the basic reproduction number<br/>(R0) and use it to establish the local stability of the disease-free equilibrium. The<br/>parameters most responsible for the disease transmission in the population are<br/>examined with respect to the basic reproduction number by sensitivity analysis.<br/>The disease-free equilibrium is found to be locally asymptotically stable if R0 < 1<br/>and unstable if R0 > 1. Numerical simulations are carried out to validate the<br/>theoretical results and to further investigate the dynamics of the disease.<br/> |
| 650 ## - TRACINGS |
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| Main Subject |
Mathematics |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Item type |
Students Thesis |
