# Impact of vaccine mandates and removals on COVID-19 vaccine uptake in Australia and international comparators: a study protocol

**Authors:** Aregawi Gebremedhin Gebremariam, Mesfin Genie, Huong Le, Katie Attwell, Bette Liu, Annette K Regan, Frank H Beard, Kristine Macartney, Francesco Paolucci, Hannah Catherine Moore, Christopher C Blyth

PMC · DOI: 10.1136/bmjopen-2024-097412 · 2025-07-07

## TL;DR

This study aims to evaluate how vaccine mandates and their removal affected COVID-19 vaccine uptake in Australia and other countries, providing insights for future public health policies.

## Contribution

The study introduces a protocol to assess the impact of vaccine mandates and their removal on vaccine uptake using causal inference methods across multiple countries.

## Key findings

- The study will use causal inference methods like interrupted time series and synthetic control to evaluate vaccine mandates.
- It will compare Australian policies with those in Europe and the USA to inform future pandemic preparedness.
- Results will be shared through peer-reviewed papers and public health conferences.

## Abstract

Vaccination against SARS-CoV-2 was a crucial public health measure during the COVID-19 pandemic. Among the multiple strategies developed to increase vaccine uptake, governments often employed vaccine mandates. However, little evidence exists globally about the impact of these mandates and their subsequent removal on vaccine uptake, including in Australia, France, Italy and the USA. The aim of this study is to provide a protocol to evaluate and quantify the impact of COVID-19 vaccine mandates and removals on vaccine uptake in these countries, with a specific focus on comparing Australian policies with those from Europe and the USA. Actualising the work outlined in this protocol will help to provide policy and technical guidance for future pandemic preparedness and routine immunisation programmes.

This protocol outlines a retrospective study using existing data sources including Australian Immunisation Register-Person Level Integrated Data Asset for Australia and publicly available data for France, Italy and California (USA). Causal inference methods such as interrupted time series, regression discontinuity design, difference-in-differences, matching and synthetic control will be employed to assess the estimated effects of vaccine mandates and removals on vaccine uptake.

The University of Newcastle’s human research ethics committee has approved the study (reference number: H-2024-0160). Peer-reviewed papers will be submitted, and results will be presented at public health, immunisation and health economic conferences nationally and internationally. A lay summary will be published on the MandEval website.

## Linked entities

- **Diseases:** SARS-CoV-2 (MONDO:0100096), COVID-19 (MONDO:0100096)

## Full-text entities

- **Diseases:** COVID-19 (MESH:D000086382)
- **Species:** Homo sapiens (human, species) [taxon 9606], Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049]

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Source: https://tomesphere.com/paper/PMC12258311