Estimates of the basic reproduction number for rubella using seroprevalence data and indicator-based approaches.
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ABSTRACT: The basic reproduction number (R0) of an infection determines the impact of its control. For many endemic infections, R0 is often estimated from appropriate country-specific seroprevalence data. Studies sometimes pool estimates from the same region for settings lacking seroprevalence data, but the reliability of this approach is unclear. Plausibly, indicator-based approaches could predict R0 for such settings. We calculated R0 for rubella for 98 settings and correlated its value against 66 demographic, economic, education, housing and health-related indicators. We also trained a random forest regression algorithm using these indicators as the input and R0 as the output. We used the mean-square error to compare the performances of the random forest, simple linear regression and a regional a
SUBMITTER: Papadopoulos T
PROVIDER: S-EPMC8893344 | biostudies-literature | 2022 Mar
REPOSITORIES: biostudies-literature
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