Article

Forecasting the daily COVID-19 incidence in large and small communities -- A comparative study of forecasting approaches for disease surveillance

2025-04-21

Abstract excerpt

<h4>Introduction: </h4> The COVID-19 pandemic highlighted the importance for accurate and timely forecasts to support public health preparedness. Automated surveillance systems fit with pre-built model offers efficiency, but identifying optimal model difficult due to variations in populations. This study assessed forecasting accuracy in regions with substantial differences in population-at-risk sizes. <h4>Materia...

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Literature Corpus work: cd9cfb3d-536f-5679-9af8-cfc98395c685
DOI: 10.22541/au.174522964.49177971/v1

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