Modeling the Impact of COVID-19 Mitigation Strategies in Pennsylvania, USA.

IF 1.9 Q3 HEALTH CARE SCIENCES & SERVICES MDM Policy and Practice Pub Date : 2024-06-20 eCollection Date: 2024-01-01 DOI:10.1177/23814683241260744
Mary G Krauland, Mark S Roberts
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Abstract

Purpose. To estimate the impact on mortality of nonpharmaceutical interventions (NPIs) implemented early in the COVID-19 pandemic. Methods. We implemented an agent-based modified SEIR model of COVID-19, calibrated to match death numbers reported in Pennsylvania from January 2020 to April 2021 and including representations of NPIs implemented in Pennsylvania. To investigate the impact of these strategies, we ran the calibrated model with no interventions and with varying combinations, timings, and levels of interventions. Results. The model closely replicated death outcomes data for Pennsylvania. Without NPIs, deaths in the early months of the pandemic were estimated to be much higher (67,718 deaths compared to actual 6,969). Voluntary interventions alone were relatively ineffective at decreasing mortality. Delaying implementation of interventions led to higher deaths (∼9,000 more deaths with just a 1-week delay). School closure was insufficient as a single intervention but was an important part of a combined intervention strategy. Conclusions. NPIs were effective at reducing deaths early in the COVID-19 pandemic. Agent-based models can incorporate substantial detail on infectious disease spread and the impact of mitigations. Policy Implications. The model supports the importance and effectiveness of NPIs to decrease morbidity from respiratory pathogens. This is particularly important for emerging pathogens for which no vaccines or treatments exist, but such strategies are applicable to a variety of respiratory pathogens.

Highlights: Nonpharmaceutical interventions were used extensively during the early period of the COVID-19 pandemic, but their use has remained controversial.Agent-based modeling of the impact of these mitigation strategies early in the COVID-19 pandemic supports the effectiveness of nonpharmaceutical interventions at decreasing mortality.Since such interventions are not specific to a particular pathogen, they can be used to protect against any respiratory pathogen, known or emerging. They can be applied rapidly when conditions warrant.

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美国宾夕法尼亚州 COVID-19 缓解战略的影响建模。
目的估计在 COVID-19 大流行早期实施的非药物干预措施 (NPI) 对死亡率的影响。方法。我们对 COVID-19 实施了基于代理的修正 SEIR 模型,该模型经过校准以匹配宾夕法尼亚州 2020 年 1 月至 2021 年 4 月期间报告的死亡人数,并包含宾夕法尼亚州实施的非药物干预措施。为了研究这些策略的影响,我们在不采取任何干预措施的情况下运行了校准模型,并对干预措施的组合、时间和水平进行了调整。结果。该模型密切复制了宾夕法尼亚州的死亡结果数据。如果没有 NPI,估计大流行初期几个月的死亡人数要高得多(67,718 人死亡,而实际死亡人数为 6,969 人)。仅靠自愿干预措施在降低死亡率方面效果相对较差。推迟实施干预措施会导致更高的死亡人数(仅仅推迟一周就会增加 9,000 人的死亡)。关闭学校作为单一干预措施是不够的,但却是综合干预策略的重要组成部分。结论。在 COVID-19 大流行的早期,NPIs 能有效减少死亡人数。基于代理的模型可以包含有关传染病传播和缓解措施影响的大量细节。政策影响。该模型支持 NPIs 在降低呼吸道病原体发病率方面的重要性和有效性。这对于尚无疫苗或治疗方法的新兴病原体尤为重要,但此类策略适用于各种呼吸道病原体:非药物干预措施在 COVID-19 大流行早期被广泛使用,但其使用仍存在争议。基于代理的模型对 COVID-19 大流行早期这些缓解策略的影响进行了分析,结果表明非药物干预措施在降低死亡率方面非常有效。由于这些干预措施并非针对特定病原体,因此可用于预防任何已知或新出现的呼吸道病原体。
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来源期刊
MDM Policy and Practice
MDM Policy and Practice Medicine-Health Policy
CiteScore
2.50
自引率
0.00%
发文量
28
审稿时长
15 weeks
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