Social Response and Measles Dynamics

Author:

Adebanji Atinuke O.1ORCID,Aschl Franz2ORCID,Chumo Ednah Chepkemoi3,Owiredu Emmanuel Odame1ORCID,Müller Johannes24ORCID,Mbegalo Tukae5ORCID

Affiliation:

1. Department for Statistics & Actuarial Science, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi AK-448-4924, Ghana

2. School for Computation, Information and Technology, TU München (TUM), 80333 Munich, Germany

3. School of Sciences & Aerospace Studies, Department of Mathematics, Physics & Computing, Moi University, Eldoret 30107, Kenya

4. Institute for Computational Biology, Helmholtz Center Munich, 85764 Munich, Germany

5. Department of Mathematics and Statistics Studies, Mzumbe University, Morogoro P.O. Box 1, Tanzania

Abstract

Measles remains one of the leading causes of death among young children globally, even though a safe and cost-effective vaccine is available. Vaccine hesitancy and social response to vaccination continue to undermine efforts to eradicate measles. In this study, we consider data about measles vaccination and measles prevalence in Germany for the years 2008–2012 in 345 districts. In the first part of the paper, we show that the probability of a local outbreak does not significantly depend on the vaccination coverage, but—if an outbreak does take place—the scale of the outbreak depends significantly on the vaccination coverage. Additionally, we show that the willingness to be vaccinated is significantly increased by local outbreaks, with a delay of about one year. In the second part of the paper, we consider a deterministic delay model to investigate the consequences of the statistical findings on the dynamics of the infection. Here, we find that the delay might induce oscillations if the vaccination coverage is rather low and the social response to an outbreak is sufficiently strong. The relevance of our findings is discussed at the end of the paper.

Funder

VolkswagenStiftung

Publisher

MDPI AG

Subject

Statistics and Probability

Reference41 articles.

1. Modelling the deceleration of COVID-19 spreading;Barzon;J. Phys. Math. Theor.,2021

2. WHO (2022, June 12). 10 Threats to Global Health in 2019, Available online: https://www.who.int/news-room/spotlight/ten-threats-to-global-health-in-2019.

3. WHO (2022, June 22). Vaccine-Preventable Disease Outbreaks on the Rise in Africa, Available online: https://www.afro.who.int/news/vaccine-preventable-disease-outbreaks-rise-africa.

4. Baumgaertner, B., Ridenhour, B.J., Justwan, F., Carlisle, J.E., and Miller, C.R. (2020). Risk of disease and willingness to vaccinate in the United States: A population-based survey. PLoS Med., 17.

5. Measles epidemic from failure to immunize;Dales;West. J. Med.,1993

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