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コロナウイルス COVID レンダリング


サウサンプトン大学とオックスフォード大学が実施した最近の研究では、長期にわたる新型コロナウイルス感染症の発生率と地域特有の貧困レベルとの間に強い相関関係があることが明らかになった。 その結果、最も恵まれない地域の人々は、それほど恵まれない地域の人々と比べて、新型コロナウイルス感染症を長期間経験する可能性が46パーセント高いことが判明した。

に掲載されたこの研究は、 英国王立医学協会ジャーナル、20万人以上の労働年齢の成人を評価しました。 これは、長引く新型コロナウイルス感染症とさまざまな職業分野にわたる社会経済的地位との関連性を定量化する初の試みとなる。

国家統計局からのデータの分析[{” attribute=””>COVID-19 Infection Survey, the researchers found that females had a higher risk of long COVID, with the risk of long COVID in females in the least deprived areas comparable to that in males in the most deprived areas.

People living in the most deprived areas and working in the healthcare and education sectors had the highest risk of long COVID compared to the least deprived areas. There was no significant association between the risk of long COVID and the most and least deprived areas for people working in the manufacturing and construction sectors.

Lead researcher Dr. Nazrul Islam, of the Faculty of Medicine at the University of Southampton and Nuffield Department of Population Health at the University of Oxford, said: “Although certain occupational groups, especially frontline and essential workers, have been unequally affected by the COVID-19 pandemic, studies on long COVID and occupation are sparse.

“Our findings are consistent with pre-pandemic research on other health conditions, suggesting that workers with lower socioeconomic status have poorer health outcomes and higher premature mortality than those with higher socioeconomic position but a similar occupation. However, the socioeconomic inequality may vary considerably by occupation groups.”

According to the researchers, the study indicates the need for a diverse range of public health interventions after recovery from COVID-19 across multiple intersecting social dimensions. Future health policy recommendations, they say, should incorporate the multiple dimensions of inequality, such as sex, deprivation, and occupation when considering the treatment and management of long COVID.

Dr. Islam added: “The inequalities shown in this study show that such an approach can provide more precise identification of risks and be relevant to other diseases and beyond the pandemic.

“These findings will help inform health policy in identifying the most vulnerable sub-groups of populations so that more focused efforts are given, and proportional allocation of resources are implemented, to facilitate the reduction of health inequalities.”

Reference: “Socioeconomic inequalities of Long COVID: a retrospective population-based cohort study in the United Kingdom” by Sharmin Shabnam, Cameron Razieh, Hajira Dambha-Miller, Tom Yates, Clare Gillies, Yogini V Chudasama, Manish Pareek, Amitava Banerjee, Ichiro Kawachi, Ben Lacey, Eva JA Morris, Martin White, Francesco Zaccardi, Kamlesh Khunti and Nazrul Islam, 10 May 2023, Journal of the Royal Society of Medicine.
DOI: 10.1177/01410768231168377

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