社会多样性与疫情传播:来自印度的证据
Social Diversity and Spread of Pandemic: Evidence from India
AI总结:
本文基于印度数据研究种姓多样性与 COVID-19 传播的关系,发现种姓同质性较高的县感染增长更慢,并提出社区卫生工作者参与度更高是潜在机制,强调可用种姓多样性识别公共卫生热点。
摘要:
在疫情期间遵守公共卫生指南需要协调一致的社区行动,而这种行动在社会多样性较高的地区可能会受到削弱。本文评估了印度全国封锁和解封期间种姓群体多样性与 COVID-19 感染传播之间的关系。在扩展边际上,我们发现种姓同质性较高的县系统性地需要更多天数才能跨越 50 至 500 例的集中度阈值。利用每日病例数对集约边际进行的估计进一步表明,种姓同质性较高的县感染增长更为缓慢。总体而言,种姓群体同质性的影响在封锁开始后的 2.5 个月(约 76 天)内保持正向且统计显著,并随着封锁后续阶段的推进而减弱。即使在考虑了封锁前初始热点地区的出现、通过每日固定效应反映的更广泛扩散模式、地区固定效应,以及通过县级时变滞后 COVID-19 死亡人数反映的动态行政响应之后,结果依然成立。这些效应并未被部分州检测水平差异和病例漏报所混淆。来自偏差校正处理效应的一致估计也确保我们的发现在考虑其他不可观测因素后仍然稳健。我们发现种姓同质性较高的地区社区卫生工作者参与度更高的提示性证据,且这种参与在封锁后进一步增加。我们认为这是可以解释我们结果的一个潜在渠道。我们的发现揭示了如何利用种姓群体多样性来识别公共卫生紧急事件中的潜在热点地区,并强调了社区卫生工作者和分散化政策响应的重要性。
英文摘要:
Compliance with the public health guidelines during a pandemic requires coordinated community actions which might be undermined in socially diverse areas. In this paper, we assess the relationship between caste-group diversity and the spread of COVID-19 infection during the nationwide lockdown and unlocking period in India. On the extensive margin, we find that caste-homogeneous districts systematically took more days to cross the concentration thresholds of 50 to 500 cases. Estimates on the intensive margin, using daily cases, further show that caste-homogeneous districts experienced slower growth in infection. Overall, the effects of caste-group homogeneity remained positive and statistically significant for 2.5 months (about 76 days) after the beginning of the lockdown and weakened with subsequent phases of the lockdown. The results hold even after accounting for the emergence of initial hotspots before lockdown, broader diffusion patterns through daily fixed effects, region fixed effects, and dynamic administrative response through time-variant lagged COVID-19 fatalities at the district level. These effects are not found to be confounded by differential levels of testing and underreporting of cases in some states. Consistent estimates from bias-adjusted treatment effects also ensure that our findings remain robust even after accounting for other unobservables. We find suggestive evidence of higher engagement of community health workers in caste-homogenous localities, which further increased after the lockdown. We posit this as one potential channel that can explain our results. Our findings reveal how caste-group diversity can be used to identify potential hotspots during public health emergencies and emphasize the importance of community health workers and decentralized policy response.
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