Analysis of Pandemic Data in Brazil : The relationship between vaccinated and hospitalized in Recife

Camila Dantas, J. Dantas, João Ferreira
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Abstract

This paper consist in a time series analysis of Covid-19 vaccination data and hospitalization data for suspected or confirmed Severe Acute Respiratory Syndrome cases for Covid-19 among the citizens of Recife city, located in Pernambuco, in the northeast region of Brazil. This study aims to demonstrate the effectiveness of vaccination to combat severe cases of Covid-19 in a population. For this, population vaccination data against Covid-19 and data on severe cases were arranged in time series for correlation study. The results show that the adherence in residents to the vaccination against Covid-19 can directly reflect a reduction of serious cases, even in front of challenges such as the relaxation of restrictive measures, the pandemic politicization, the high contagion of the variants, and the spread of misinformation about vaccines. The research also demonstrates that establishing a technological policy to combat pandemics may make a difference by generating consistent and reliable data for science in the race for answers, bringing speed and organization in the population immunization.
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巴西大流行数据分析:累西腓接种疫苗与住院之间的关系
本文对巴西东北部伯南布哥省累西腓市市民中Covid-19疫苗接种数据和疑似或确诊的Covid-19严重急性呼吸综合征病例的住院数据进行了时间序列分析。这项研究旨在证明疫苗接种在人群中对抗Covid-19严重病例的有效性。为此,将Covid-19人群疫苗接种数据与重症病例数据按时间序列进行相关性研究。结果表明,即使面临限制措施放松、大流行政治化、变体高传染性、疫苗错误信息传播等挑战,居民坚持接种新冠肺炎疫苗也能直接反映严重病例的减少。这项研究还表明,制定一项对抗流行病的技术政策可能会产生影响,因为它可以为寻求答案的科学竞赛提供一致和可靠的数据,加快人口免疫的速度和组织。
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