A System Of Differential Equations Modeling Covid-19 Transmission Dynamics In Pampanga (Record no. 15974)
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| fixed length control field | 02072ntm a2200169 a 4500 |
| 001 - CONTROL NUMBER | |
| control field | 135061 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | 0000000000 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250408094547.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230310n 000 0 eng d |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Mallari, Karla S. |
| 245 00 - TITLE STATEMENT | |
| Title | A System Of Differential Equations Modeling Covid-19 Transmission Dynamics In Pampanga |
| Medium | [manuscript] / |
| Statement of responsibility, etc. | Karla S. Mallari. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Magalang, Pampanga : |
| Name of publisher, distributor, etc. | Pampanga State Agricultural University, |
| Date of publication, distribution, etc. | August 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 111 leaves ; |
| Dimensions | 28 cm. + 1 computer disc (4 3/4 in.) |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | The main objective of the study was to develop and present a system of differential equations modeling COVID-19 transmission dynamics in the province of Pampanga. The researcher described COVID-i9 status and modeled it using the given observed data. COVID-19 cases in Pampanga increased dramatically from March 2020 to December 2021, reaching six to seven times the annual increase of cases. The ADAR of COVID-19 at a certain area or per 100,000 population increased from low to high risk over a two-year period. The vaccination status for COVID-19 is increasing - 48.74 % of the population were fully vaccinated as of December 2021. An SIR-D model was developed, which was based on the SIR model developed by Kermack and McKendrick in 1927. An analytical and numerical method was used in this model analysis. I(t) was solved aualytically fullowed by sulving the parameter of the wuodel using the optimization process in the Excel solver. The numerical solution for dS dt, dR/dt and dD/dt was solved using Runge-Kutta method in Scilab 6.1.1.Based on the developed model, the transmission rate (r), removal rate (recovery (A) and death rate (w)), proportion of the population using face mask (0) and the efficacy of face mask (¢) were significant factors driving the rise of cases. Keywords: COVID-19, Runge-Kutta method, SIR model, modelling, SIRD. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Aldrin P. Mendoza, |
| Relator term | Adviser. |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection | Home library | Current library | Shelving location | Date acquired | Total checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Not for loan | BS Mathematics | PSAU OLM | PSAU OLM | Dissertation, Theses | 03/10/2023 | UT M25 2022 | UT12785 | 04/08/2025 | 04/08/2025 | Theses |