cepiweek: Continuous Epidemiological Week Indexing for Time-Series Analysis

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Authors: Daniel Degina
Cited by: 0

Abstract

Provides a simple algorithm to generate a continuous epidemiological week index from date variables in a dataframe. Weeks are computed as sequential 7-day intervals starting from the earliest observed date. They do not reset at calendar year boundaries and are not ISO 8601 nor MMWR calendar weeks. The approach is intended for epidemiological modeling and time-series analysis where temporal continuity is required. The generated weeks are sequential and do not reset at calendar year boundaries.

Fields of Study & Subjects

Data-Driven Disease Surveillance Data Analysis with R Statistical Methods in Epidemiology

Publication details

Publication date
13 February 2026
Language
EN
Document type
Dataset