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A nonparametric estimation for infectious diseases with latent period

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  • Wensheng Wang
  • Hui Zhou
  • Anwei Zhu

Abstract

Predicting the future contagion of infectious diseases depends on the ability to estimate the current number of cases of infection. In this paper, a full smoothing method is proposed to evaluate the number of daily new cases of infection during the epidemic period. Under mild regularity assumptions, we obtain the consistency and asymptotic normality of the resulting estimator. Both simulated examples and a real data example are used for illustration.

Suggested Citation

  • Wensheng Wang & Hui Zhou & Anwei Zhu, 2022. "A nonparametric estimation for infectious diseases with latent period," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 51(19), pages 6701-6718, October.
    • Handle: RePEc:taf:lstaxx:v:51:y:2022:i:19:p:6701-6718
    DOI: 10.1080/03610926.2020.1865402
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