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Dataset Information

Retail demand for emergency contraception in United States following New Year holiday: time series study.


ABSTRACT:

Objective

To estimate the increase in sales of emergency contraception following the New Year's Eve/New Year's Day holiday.

Design

Time series analysis using autoregressive integrated moving average (ARIMA) model.

Setting

Traditional (that is, "bricks and mortar") retail outlets-grocery stores, drug stores, mass merchandisers, club stores, dollar stores, and military outlets-in the United States from 2016 to 2022.

Data source

Marketing data on weekly aggregated sales of items classified as emergency contraception gathered between 2016 and 2022 (n=362). On the basis of dates, weeks were classified as following the New Year holiday (n=6) or not (n=356).

Main outcome measure

Weekly sales of levonorgestrel emergency contraception per 1000 women of reproducti

SUBMITTER: Wagner B 

PROVIDER: S-EPMC10731423 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature