Modelling human response to information in voluntary vaccination behaviour using epidemic data Article Swipe
Bruno Buonomo
,
Rossella Della Marca
,
Manalebish Debalike Asfaw
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3934/mbe.2025043
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3934/mbe.2025043
Here, we considered Holling functional responses, a core concept in population dynamics, and discussed their potential interpretation in the context of social epidemiology. Then, we assessed which Holling functional response best represents the vaccination behaviour of individuals when such a behaviour is influenced by information and rumours about the disease. In particular, we used the Holling functionals to represent the information-dependent vaccination rate in a socio-epidemiological model for meningococcal meningitis. As a field case test, we estimated the information-related parameters by using official data from a meningitis outbreak in Nigeria and numerically assessed the impact of the functionals on the solutions of the model. We observed significant inaccuracies on parameter estimates when either Holling type Ⅰ or Holling type Ⅲ functional were used. On the contrary, when the Holling type Ⅱ functional was employed, epidemiological data were well reproduced, and reasonable values of the information parameters were obtained. Given the socio-epidemiological interpretation of the Holling type Ⅱ functional, this means that the rate at which susceptible individuals come into contact with information may be assumed to be constant and that the time needed to handle the available information cannot be neglected.
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Modelling human response to information in voluntary vaccination behaviour using epidemic dataWork title
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2025Year of publication
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2025-01-01Full publication date if available
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Bruno Buonomo, Rossella Della Marca, Manalebish Debalike AsfawList of authors in order
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https://doi.org/10.3934/mbe.2025043Publisher landing page
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goldOpen access status per OpenAlex
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https://doi.org/10.3934/mbe.2025043Direct OA link when available
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Vaccination, Turnover, Econometrics, Psychology, Computer science, Medicine, Virology, Mathematics, Economics, ManagementTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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35Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2988221178, https://openalex.org/W3090511569, https://openalex.org/W2163753340, https://openalex.org/W2503208974, https://openalex.org/W2515822818, https://openalex.org/W640023950, https://openalex.org/W1991038590, https://openalex.org/W2143523119, https://openalex.org/W2438325488, https://openalex.org/W2485771356, https://openalex.org/W2157760369, https://openalex.org/W2026544868, https://openalex.org/W2060686418, https://openalex.org/W3175385222, https://openalex.org/W4320085790, https://openalex.org/W3091995435, https://openalex.org/W4387266871, https://openalex.org/W3199716700, https://openalex.org/W4223565360, https://openalex.org/W2981359977, https://openalex.org/W2131915744, https://openalex.org/W1969027200, https://openalex.org/W4236226036, https://openalex.org/W2944978160, https://openalex.org/W2574310857, https://openalex.org/W2772363278, https://openalex.org/W2162180283, https://openalex.org/W2406983649, https://openalex.org/W4372332377, https://openalex.org/W2072639225, https://openalex.org/W2094584175, https://openalex.org/W2983289675, https://openalex.org/W2112680994, https://openalex.org/W2020319074, https://openalex.org/W3103143917 |
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