Abstract
The COVID-19 pandemic has significantly altered movement and behaviour patterns of populations across the world. To reduce disease spread, countries have enacted varying levels of control measures, such as border restrictions, mask mandates, and social distancing policies.1 Given the rising rates of SARS-CoV-2 vaccination, a key challenge for each country is to determine the optimal speed to relax control measures at, as domestic vaccine coverage increases. In The Lancet Regional Health – Western Pacific, Trung Nguyen and colleagues2 use mathematical modelling to analyse how different vaccination strategies interact with control measures to affect COVID-19 transmission in New Zealand (NZ).
Highlights
The COVID-19 pandemic has significantly altered movement and behaviour patterns of populations across the world
In The Lancet Regional Health – Western Pacific, Trung Nguyen and colleagues[2] use mathematical modelling to analyse how different vaccination strategies interact with control measures to affect COVID-19 transmission in New Zealand (NZ)
Throughout the pandemic, NZ has used strong applications of border closure policies and lockdowns to maintain long periods without community spread. This has resulted in incredibly successful disease mitigation, with New Zealand being one of the only high-income countries to achieve a negative excess death rate in 2020.4 this means that NZ has low rates of infectioninduced immunity, increasing the vaccine coverage required to achieve broad population-level protection and potentially altering future transmission dynamics.[5]
Summary
The COVID-19 pandemic has significantly altered movement and behaviour patterns of populations across the world. Countries have enacted varying levels of control measures, such as border restrictions, mask mandates, and social distancing policies.[1] Given the rising rates of SARS-CoV-2 vaccination, a key challenge for each country is to determine the optimal speed to relax control measures at, as domestic vaccine coverage increases.
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