Quantifying the under-reporting of uncorrelated longitudal data: the genital warts example.

ABSTRACT:

Background

Genital warts are a common and highly contagious sexually transmitted disease. They have a large economic burden and affect several aspects of quality of life. Incidence data underestimate the real occurrence of genital warts because this infection is often under-reported, mostly due to their specific characteristics such as the asymptomatic course.

Methods

Genital warts cases for the analysis were obtained from the Catalan public health system database (SIDIAP) for the period 2009-2016. People under 15 and over 94 years old were excluded from the analysis as the incidence of genital warts in this population is negligible. This work introduces a time series model based on a mixture of two distributions, capable of detecting the presence of under-reporting in the d

SUBMITTER: Morina D 

PROVIDER: S-EPMC7789373 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature