de Sampaio Morais Gabriel Alves, Magno Laio, Paim Joilson Nascimento, Aranha Thais, Dourado Inês
Collective Health Institute, Federal University of Bahia, Salvador, Brazil.
Latin American Institute of Economics, Society and Politics, Federal University of Latin American Integration, Foz do Iguaçu, Brazil.
BMC Public Health. 2024 Dec 18;24(1):3435. doi: 10.1186/s12889-024-20877-z.
Programs offering financial support have been established to mitigate the economic fallout and vulnerabilities arising from the COVID-19 pandemic. Moreover, financial incentives were introduced to promote compliance with social isolation measures, thereby preventing SARS-CoV-2 infections and transmission. However, few low- and middle-income countries have implemented financial aid to alleviate the socio-economic impact of the COVID-19 pandemic. We estimated the association between the Brazilian Emergency Aid (EA) Program and SARS-CoV-2 testing demand, SARS-CoV-2 prevalence, and social isolation levels.
In this quasi-experimental study, we assessed microdata information from 380,000 individuals surveyed in the COVID-19 National Household Sample Survey (COVID-19 NHSS) between July 1, 2020, and Nov 30, 2020. Individuals meeting the EA eligibility criteria, those who have taken the SARS-CoV-2 test, those diagnosed with COVID-19, and/or those complying with social isolation measures were included. Beneficiaries and non-beneficiaries were matched (1:1) using propensity score matching, combined with the entropy balance technique and inverse probability treatment weighting, considering all relevant socioeconomic and health covariates. We performed logistic regression to compute the monthly average impact of EA benefits on the outcomes above.
We included 171,183 performed tests, 19,218 COVID-19 cases, and individuals' self-response in complying with mild (N = 660,297), moderate (N = 597,159), strict social isolation (N = 149,125), and those who did not constrain social gatherings (N = 1,406,581). EA recipients showed greater testing demand (November; odds ratio [OR] = 1.014, 95% confidence interval [CI]: 1.001-1.026); however, this did not significantly reduce SARS-CoV-2 prevalence. Beneficiaries adhered better to mild isolation from July-September (September; OR: 1.017, 95% CI: 1.007-1.028), with no significant improvement from October-November. EA beneficiaries did not adhere to moderate (July, OR: 0.95, 95% CI: 0.94-0.97; November, OR: 0.83, 95% CI: 0.80-0.86) or strict (July, OR: 0.79, 95% CI: 0.75-0.84; November, OR: 0.77, 95% CI: 0.73-0.81) isolation compared to non-beneficiaries.
Despite the severe COVID-19 situation in Brazil owing to the lack of effective public health policies and government resistance to scientific guidance, being an EA beneficiary was associated with increased testing demand and better adherence to mild social isolation measures.
已设立提供财政支持的项目,以减轻新冠疫情造成的经济影响和脆弱性。此外,还引入了财政激励措施,以促进人们遵守社会隔离措施,从而预防新冠病毒感染和传播。然而,很少有低收入和中等收入国家实施财政援助来减轻新冠疫情的社会经济影响。我们估计了巴西紧急援助(EA)计划与新冠病毒检测需求、新冠病毒流行率和社会隔离水平之间的关联。
在这项准实验研究中,我们评估了2020年7月1日至2020年11月30日期间在新冠疫情全国住户抽样调查(COVID-19 NHSS)中对380,000个人进行调查的微观数据信息。纳入符合紧急援助资格标准的个人、接受过新冠病毒检测的人、被诊断为新冠病毒感染的人,和/或遵守社会隔离措施的人。使用倾向得分匹配法,结合熵平衡技术和逆概率处理加权法,对受益者和非受益者进行(1:1)匹配,同时考虑所有相关的社会经济和健康协变量。我们进行逻辑回归分析,以计算紧急援助福利对上述结果的月度平均影响。
我们纳入了171,183次检测、19,218例新冠病毒感染病例,以及个人在遵守轻度(N = 660,297)、中度(N = 597,159)、严格社会隔离(N = 149,125)方面的自我反馈,以及那些不限制社交聚会的人(N = 1,406,581)。紧急援助受益者表现出更高的检测需求(十一月;优势比[OR] = 1.014,95%置信区间[CI]:1.001 - 1.026);然而,这并未显著降低新冠病毒流行率。受益者在7月至9月期间对轻度隔离的遵守情况更好(九月;OR:1.0