Modelling the Impact of Spread of Human Papillomavirus Infections under Vaccination in Kenya
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Human Papillomavirus (HPV), a sexually transmitted virus is a collection of more than 40 types of viruses, some of which are linked to several cancers. HPV type 16 and HPV type 18 are accountable for 70% of cervical cancer cause. Besides cervical cancer, HPV has been linked to several cancers such as anal cancer, oropharyngeal cancer and neck cancer. Mathematical models have been used in the evaluation of control strategies and making of health policies. Very few mathematical models have been developed on HPV awareness in Kenya. In this study we developed a deterministic model on the impact of HPV infection under vaccination. In this model we incorporated an ineffective media awareness. We computed the equilibrium points of the model and local and global stability analysis was conducted on the reproduction number. The numerical simulation results show that the HPV infections continue to stay in the community due to the ineffective mass media awareness. Sensitivity analysis show that the infection contact rate and negative attitudes influencing condom use rate are parameters that contribute to the persistence of HPV infections in the community.
References
-
WHO/ICO. Human Papillomavirus and Related Cancers in Kenya. Summary Report 2010. [Internet] 2010. Available from: www. who. int/ hpvcentre.
Google Scholar
1
-
Moody CA, Laimins LA. Human papillomavirus oncoproteins: pathways to transformation. Nature Reviews Cancer. 2010; 10(8): 550.
Google Scholar
2
-
Jemal A, Simard EP, Dorell C, Noone AM, Markowitz LE, Kohler B, et al. Annual report to the nation on the status of cancer, 1975–2009, featuring the burden and trends in human papillomavirus (HPV)–associated cancers and HPV vaccination coverage levels. JNCI: Journal of the National Cancer Institute. 2013; 105(3): 175-201.
Google Scholar
3
-
Gillison ML, Alemany L, Snijders PJ, Chaturvedi A, Steinberg BM, Schwartz S, et al. Human papillomavirus and diseases of the upper airway: head and neck cancer and respiratory papillomatosis. Vaccine. 2012; 30: F34-F54.
Google Scholar
4
-
Papillomaviruses H. IARC monographs on the evaluation of carcinogenic risks to humans. Lyon, France. IARC. 2011.
Google Scholar
5
-
Wilke J. Media Genres. Notes. 2010; 2: 5.
Google Scholar
6
-
FDA, U.S. Food and Drug Administration, HPV (Human Papillomavirus), HPV: Sexually Transmitted Diseases (STD). 2007.
Google Scholar
7
-
Wakefield MA, Loken B, Horni RC. Use of mass media campaigns to change health behaviour. The Lancet. 2010; 376(9748): 1261-1271.
Google Scholar
8
-
Breban R. Health newscasts for increasing influenza vaccination coverage: an inductive reasoning game approach. PloS One. 2011; 6(12): e28300.
Google Scholar
9
-
Fanti KA, Vanman E, Henrich CC, Avraamides MN. Desensitization to media violence over a short period of time. Aggressive Behavior: Official Journal of the International Society for Research on Aggression. 2009; 35(2): 179-187.
Google Scholar
10
-
Misra AK, Sharma A, Shukla JB. Modeling and analysis of effects of awareness programs by media on the spread of infectious diseases. Mathematical and Computer Modelling, 2011; 53(5-6): 1221-1228.
Google Scholar
11
-
Tchuenche JM, Dube N, Bhunu CP, Smith RJ, Bauch CT. The impact of media coverage on the transmission dynamics of human influenza. BMC Public Health. 2011; 11(1): S5.
Google Scholar
12
-
Granell C, Gómez S, Arenas A. Competing spreading processes on multiplex networks: awareness and epidemics. Physical Review E. 2014; 90(1): 012808.
Google Scholar
13
-
Funk S, Salathé M, Jansen VA. Modelling the influence of human behaviour on the spread of infectious diseases: a review. Journal of the Royal Society Interface. 2010; 7(50): 1247-1256
Google Scholar
14
-
Green A, Nieves Y, Enrigue C, Kribs-Zaleta C, Crawford B. A cost analysis of human papillomavirus: Individual education vs. mass-media campaign. MTBI Technical Report MTBI-04-03M, Arizona State University. 2007.
Google Scholar
15
-
Agaba GO, Kyrychko YN, Blyuss K. Mathematical model for the impact of awareness on the dynamics of infectious diseases. Mathematical Biosciences. 2017; 286: 22-30.
Google Scholar
16
-
Karei EM, Obuyi A, Omollo V. Community Norms About Youth Condom Use in Western Kenya: Is transition occuring? African Journal of Reproductive Health. 2012; 16(2): 241–252.
Google Scholar
17
-
Van den Driessche P, Watmough J. Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. Mathematical Biosciences. 2002; 180(1-2).
Google Scholar
18
-
Castillo-Chavez C, Feng Z, Huang W. On the computation of R~ 0 and its role in global stability. IMA Volumes in Mathematics and Its Applications. 2002; 125: 229-250.
Google Scholar
19
-
CIA. Central Intelligence Agency: The World Fact Book. The World of a Nation: The Center of Intelligence. [Internet] 2016 [cited 2018 August] Available from: https://www.cia.gov/library/publications/ the-world-factbook/fields/2054.html.
Google Scholar
20
-
ICO/IARC Information Centre on HPV and Cancer 2018. [Internet] Available from: www. who. int/ hpvcentre.
Google Scholar
21
-
Bruni L, Barrionuevo-Rosas L, Albero G, Serrano B, Mena M, Gómez D, et al. ICO/IARC Information Centre on HPV and Cancer (HPV Information Centre). Human Papillomavirus and Related Diseases in Kenya. Summary Report 10 December 2018. 2018.
Google Scholar
22
-
Ronoh M, Chirove F, Wairimu J, Ogana W. Evidence-based modeling of combination control on Kenyan youth HIV/AIDS dynamics. PloS One. 2020; 15(11): e0242491.
Google Scholar
23
-
Marino S, Hogue IB, Ray CJ, Kirschner DE. A methodology for performing global uncertainty and sensitivity analysis in systems biology. Journal of Theoretical Biology. 2008; 254(1): 178-196.
Google Scholar
24