# Geographical Variation in SARS-CoV-2 Transmission Potential in Massachusetts

**Authors:** Ina Sze-Ting Lee, Xinyi Hua, Jing Xiong Kersey, Kayoko Shioda, Gerardo Chowell, Isaac Chun-Hai Fung

PMC · DOI: 10.3390/epidemiologia7010015 · Epidemiologia · 2026-01-21

## TL;DR

This study analyzed how SARS-CoV-2 spread differently across regions in Massachusetts from 2020 to 2022 and how nonpharmaceutical interventions affected transmission.

## Contribution

The study provides new insights into the regional effectiveness of early nonpharmaceutical interventions on SARS-CoV-2 transmission in Massachusetts.

## Key findings

- School closures and gathering restrictions in 2020 reduced the reproduction number (Rt) by 14.7% statewide.
- High-density areas like Boston saw a 16.9% reduction in Rt due to these interventions.
- Other NPIs like mask mandates and curfews did not significantly impact Rt.

## Abstract

Background/Objectives: This ecological study aimed to investigate changes in the time-varying reproduction number (Rt) of SARS-CoV-2 across six regions of Massachusetts from 2020 to 2022 and to evaluate the impact of various nonpharmaceutical interventions (NPIs) implemented in 2020 by examining associated changes in the Rt. Methods: COVID-19 incident case data from the Johns Hopkins University database were adjusted for reporting delays using deconvolution and for underreporting via a Poisson-distributed multiplier of 4. Negative and zero counts were corrected using imputation. Rt was estimated using R package EpiEstim (Version 2.2-4) with a 7-day sliding window from 2020 to 2022 and with non-overlapping time windows between policy changes in 2020. Results: From 2020 to 2022, Massachusetts experienced five COVID-19 surges, linked to the wild-type strain and emerging variants, with Rt exceeding 1 during each wave and stabilizing at or dropping below 1 during low-incidence phases. School closure and gathering restrictions, the first major intervention, were associated with a 14.7% statewide reduction in Rt (95% credible interval (CrI): −23.6%, −5.6%), with greater reductions in high-density areas such as Boston (−16.9%; 95% CrI: −26.9%, −7.5%). No statistically significant changes in Rt were found to be associated with other NPIs in 2020, including the mask mandate, reopening phases, travel restrictions and quarantine requirements, and curfews. Conclusions: Our findings highlight the different NPIs’ varying impacts on COVID-19 transmission dynamics across regions in Massachusetts in 2020 and underscore the importance of early interventions for future pandemic preparedness.

## Linked entities

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

## Full-text entities

- **Diseases:** COVID-19 (MESH:D000086382), infected (MESH:D007239), influenza (MESH:D007251), opioid overdose (MESH:D000083682), injury to (MESH:D014947), overdose (MESH:D062787), respiratory pathogens (MESH:D012131)
- **Chemicals:** alcohol (MESH:D000438)
- **Species:** Homo sapiens (human, species) [taxon 9606], Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049]

## Full text

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## Figures

12 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12922091/full.md

## References

134 references — full list in the complete paper: https://tomesphere.com/paper/PMC12922091/full.md

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Source: https://tomesphere.com/paper/PMC12922091