Modeling and Analysis of COVID-19 Spread: The Impacts of Nonpharmaceutical Protocols

<div>Dynamical behavior of model trajectories corresponding to (a) asymptomatic individuals, (b) symptomatic individuals, and (c) exposed individuals at different initial conditions, according to Theorem <a href="https://static.hindawi.com/articles/cmmm/volume-2022/7706447/figures/#thm2">4</a>. For this purpose, all parameters are taken from Table <a href="../tab3/">3</a>, except <svg height="12.7178pt" id="M331" style="vertical-align:-3.42947pt" version="1.1" viewbox="-0.0498162 -9.28833 63.1597 12.7178" width="63.1597pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M558 587C558 666 497 712 432 712C379 712 330 691 284 650C212 586 178 508 148 348L71 -65C49 -185 35 -229 23 -235L27 -261C49 -259 101 -251 124 -224C131 -216 138 -178 159 -24C171 66 197 200 227 356C264 550 295 668 393 668C443 668 479 632 479 575C479 516 446 458 383 418C361 404 344 398 318 397L296 350C395 338 460 281 460 192C460 110 411 40 300 40C258 40 215 55 192 69L181 51C191 18 222 -16 266 -16C308 -16 351 1 397 26C471 67 545 142 545 221C545 315 486 365 401 395C469 437 558 498 558 587Z"></path></g><g transform="matrix(.013,0,0,-0.013,11.186,0)"><path d="M535 323V373H52V323H535ZM535 138V188H52V138H535Z"></path></g><g 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width="62.3246pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M494 514C482 587 419 712 303 712C238 712 174 667 174 603C174 561 205 514 249 449C219 438 187 422 162 407C93 366 23 283 23 177C23 69 87 -12 190 -12C244 -12 288 5 328 33C406 87 444 170 444 249C444 329 404 391 331 475C265 550 222 605 222 627C222 647 238 657 267 657C355 657 421 585 484 499L494 514ZM359 234C359 143 319 30 219 30C172 30 114 75 114 178C114 275 163 343 195 378C212 397 241 415 269 425C305 382 359 313 359 234Z"></path></g><g transform="matrix(.013,0,0,-0.013,10.354,0)"><path d="M535 323V373H52V323H535ZM535 138V188H52V138H535Z"></path></g><g transform="matrix(.013,0,0,-0.013,21.617,0)"><path d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 312C443 466 390 635 241 635ZM238 602C329 602 354 454 354 312C354 172 330 22 240 22C152 22 124 173 124 313S148 602 238 602Z"></path></g><g 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Computational and Mathematical Methods in Medicine

fig14

Figure 14

Figure 14: Modeling and Analysis of COVID-19 Spread: The Impacts of Nonpharmaceutical Protocols 