An Individual-Based Model In Maintaining Herd Immunity: Case On Malaysia Pertussis Data

Public health controls the re-emergence of infectious diseases by achieving herd immunity establishment in the population. This paper aims to consolidate two factors affecting herd immunity namely individuals' trust in public health and vaccines as well as wane of immunity in individuals into one epidemiological model in maintaining herd immunity. The model formulation adopts Individual-Based Model (IBM) approach to address the heterogeneity effects of individuals' attributes. The individuals' vaccination decision is modelled with imitation dynamics based on game theory. The model simulations use the real parameters obtained for Pertussis in Malaysia. By using different probability of individuals acquire trust, the simulation results are validated with the real Pertussis prevalence where the Root-Mean-Square-Percentage-Error (RMSPE) is used as the accuracy measurement metric. Around 70 percent to 80 percent of individuals must acquire trust towards public health and vaccines so that the simulation results become more fitted to the real Pertussis prevalence. In addition, the modified herd immunity threshold formula is derived from the model and is analyzed through parameter sensitivity analysis. Comparing to the general formula of herd immunity threshold, the modified herd immunity threshold formula provides a higher threshold for the establishment of herd immunity due to additional parameters included in the formula. The disruption of herd immunity because of the wane of immunity in individual would be countered by the vaccination of individuals who trust in public health and vaccines, hence establishing the herd immunity in the population. (Abstract)

[1]  Elizabeth Hunter,et al.  Validating and Testing an Agent-Based Model for the Spread of COVID-19 in Ireland , 2022, Algorithms.

[2]  M. Jit,et al.  Challenges in ensuring global access to COVID-19 vaccines: production, affordability, allocation, and deployment , 2021, The Lancet.

[3]  U. Wiedermann,et al.  Towards understanding vaccine hesitancy and vaccination refusal in Austria , 2020, Wiener klinische Wochenschrift.

[4]  J. Freedman,et al.  Mistrust of the medical profession and higher disgust sensitivity predict parental vaccine hesitancy , 2020, PloS one.

[5]  M. Narendran,et al.  Public perception and preparedness for the pandemic COVID 19: A Health Belief Model approach , 2020, Clinical Epidemiology and Global Health.

[6]  Reem M. Alotaibi,et al.  An analytical study on the awareness, attitude and practice during the COVID-19 pandemic in Riyadh, Saudi Arabia , 2020, Journal of Infection and Public Health.

[7]  È. Dubé,et al.  Vaccine acceptance: How to build and maintain trust in immunization. , 2020, Canada communicable disease report = Releve des maladies transmissibles au Canada.

[8]  John W. Glasser,et al.  Modeling the waning and boosting of immunity from infection or vaccination , 2020, Journal of theoretical biology.

[9]  Y. Lee,et al.  A qualitative study on parents' reasons and recommendations for childhood vaccination refusal in Malaysia. , 2020, Journal of infection and public health.

[10]  Juliet E. Carlisle,et al.  The effect of trust and proximity on vaccine propensity , 2019, PloS one.

[11]  Nikolas Popper,et al.  Why should we apply ABM for decision analysis for infectious diseases?—An example for dengue interventions , 2019, PloS one.

[12]  P. Paterson,et al.  Pertussis Prevention: Reasons for Resurgence, and Differences in the Current Acellular Pertussis Vaccines , 2019, Front. Immunol..

[13]  Gustavo S. Mesch,et al.  Vaccination hesitancy: fear, trust, and exposure expectancy of an Ebola outbreak , 2019, Heliyon.

[14]  Samit Bhattacharyya,et al.  Game dynamic model of optimal budget allocation under individual vaccination choice. , 2019, Journal of theoretical biology.

[15]  Long Wang,et al.  Dynamic analysis and decision-making in disease-behavior systems with perceptions , 2019, 2019 Chinese Control And Decision Conference (CCDC).

[16]  Michelle M. Papachrisanthou,et al.  The Resurgence of Measles, Mumps, and Pertussis , 2019, The Journal for Nurse Practitioners.

[17]  L. Gostin A National Action Plan to Eliminate Vaccine Preventable Childhood Diseases. , 2019, Milbank Quarterly.

[18]  Mikhail Prokopenko,et al.  The Effects of Imitation Dynamics on Vaccination Behaviours in SIR-Network Model , 2019, International journal of environmental research and public health.

[19]  Ann M. Bowling Immunizations – Nursing Interventions to Enhance Vaccination Rates☆ , 2018, Journal of pediatric nursing.

[20]  Madiha Ahmed,et al.  The Anti-vaccination Movement: A Regression in Modern Medicine , 2018, Cureus.

[21]  Xia Wang,et al.  An age-structured epidemic model with waning immunity and general nonlinear incidence rate , 2018, International Journal of Biomathematics.

[22]  Wing Y. Lam,et al.  Parental Decision-Making on Childhood Vaccination , 2018, Front. Psychol..

[23]  H. Larson,et al.  Measuring trust in vaccination: A systematic review , 2018, Human vaccines & immunotherapeutics.

[24]  M. Wass,et al.  Herd Immunity to Ebolaviruses Is Not a Realistic Target for Current Vaccination Strategies , 2018, bioRxiv.

[25]  R. Amlȏt,et al.  Infection prevention behaviour and infectious disease modelling: a review of the literature and recommendations for the future , 2018, BMC Public Health.

[26]  Yu Ma,et al.  Knowledge, Attitudes and Practices (KAP) toward seasonal influenza vaccine among young workers in South China , 2018, Human vaccines & immunotherapeutics.

[27]  Y. Grad,et al.  Vaccine waning and mumps re-emergence in the United States , 2017, Science Translational Medicine.

[28]  B. Hughes,et al.  Infection-acquired versus vaccine-acquired immunity in an SIRWS model , 2017, Infectious Disease Modelling.

[29]  T. Stukel,et al.  Effectiveness of pertussis vaccination and duration of immunity , 2016, Canadian Medical Association Journal.

[30]  Ling Yeong Tyng,et al.  HUMAN BEHAVIORAL CHANGES AND ITS IMPACT IN DISEASE MODELING , 2015 .

[31]  N. Arinaminpathy,et al.  Self-boosting vaccines and their implications for herd immunity , 2012, Proceedings of the National Academy of Sciences.

[32]  Abba B. Gumel,et al.  Analyzing the dynamics of an SIRS vaccination model with waning natural and vaccine-induced immunity , 2011 .

[33]  Alessandro Vespignani,et al.  Towards a Characterization of Behavior-Disease Models , 2011, PloS one.

[34]  C. Bauch Imitation dynamics predict vaccinating behaviour , 2005, Proceedings of the Royal Society B: Biological Sciences.

[35]  R. Mashru,et al.  The Role of Herd Immunity in Control of Contagious Diseases , 2020 .

[36]  K. O'Connor,et al.  HERD IMMUNITY , 2020 .

[37]  V. Bhanurekha,et al.  Herd immunity: An epidemiological concept to eradicate infectious diseases , 2018 .

[38]  R. Anderson,et al.  The concept of herd immunity and the design of community-based immunization programmes. , 1992, Vaccine.