Contributions to Health Disparities Observed in the COVID19 Pandemic

Ramprasad, Aarya; Qureshi, Fahad; Jones, Bridgette Jones L.

doi:10.1016/j.jnma.2020.09.029

Cited by 2 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Pre-existing medical conditions and access to healthcare may have contributed to the disproportionate impact of COVID-19 on the Hispanic community. Moreover, some researchers suggested that COVID-19 cases in Kansas City, MO were related to income level [28]. The health risk gap narrows as the median income rises, and being white and having a higher median income offers a significant advantage compared to racial and ethnic minority groups with lower median incomes [28].…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, some researchers suggested that COVID-19 cases in Kansas City, MO were related to income level [28]. The health risk gap narrows as the median income rises, and being white and having a higher median income offers a significant advantage compared to racial and ethnic minority groups with lower median incomes [28]. Thus, income level may contribute to the disproportionate impact of COVID-19 on certain communities.…”

Section: Discussionmentioning

confidence: 99%

“…By studying COVID-19 testing data over time, this study concluded that black populations observed lower COVID-19 testing rates than white populations. Another paper focused on COVID-19 cases in relation to income level by studying specific zip codes in Kansas City, MO [28]. One main finding was that an increase in median income level was associated with a decrease in the health risk gap.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Assessment of Retrospective COVID-19 Spatial Clusters with Respect to Demographic Factors: Case Study of Kansas City, Missouri, United States

AlQadi

Bani-Yaghoub

Balakumar

et al. 2021

IJERPH

View full text Add to dashboard Cite

Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The United States (U.S.) has the highest number of reported COVID-19 infections and related deaths in the world, accounting for 17.8% of total global confirmed cases as of August 2021. As COVID-19 spread throughout communities across the U.S., it became clear that inequities would arise among differing demographics. Several researchers have suggested that certain racial and ethnic minority groups may have been disproportionately impacted by the spread of COVID-19. In the present study, we used the daily data of COVID-19 cases in Kansas City, Missouri, to observe differences in COVID-19 clusters with respect to gender, race, and ethnicity. Specifically, we utilized a retrospective Poisson spatial scan statistic with respect to demographic factors to detect daily clusters of COVID-19 in Kansas City at the zip code level from March to November 2020. Our statistical results indicated that clusters of the male population were more widely scattered than clusters of the female population. Clusters of the Hispanic population had the highest prevalence and were also more widely scattered. This demographic cluster analysis can provide guidance for reducing the social inequalities associated with the COVID-19 pandemic. Moreover, applying stronger preventive and control measures to emerging clusters can reduce the likelihood of another epidemic wave of infection.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Assessment of Retrospective COVID-19 Spatial Clusters with Respect to Demographic Factors: Case Study of Kansas City, Missouri, United States

AlQadi

Bani-Yaghoub

Balakumar

et al. 2021

IJERPH

View full text Add to dashboard Cite

show abstract

“…Relativamente à ligação entre rendimento ou ausência dele e as situações de saúde/doença/morte, os estudos produzidos têm sido claros na identificação de um ciclo virtuoso/vicioso, no sentido em que se espera que mais/menos rendimento induza um maior/menor nível de saúde (também pela maior/menor utilização de cuidados de saúde) e vice-versa (Woolf et al, 2015;Alen et al, 2017;Ramprasad et al, 2020).…”

Section: Sobre Os Determinantes De Saúde E Suas Implicaçõesunclassified

Contributos para o Estudo dos Determinantes Sociais de Saúde na Área Metropolitana de Lisboa

Gato,

B. Moreira,

Dos Santos

et al. 2024

Rev. Port. de Estud. Reg.

View full text Add to dashboard Cite

A saúde é determinada por um conjunto multifacetado de fatores, nem sempre fáceis de selecionar e analisar, mas cujo estudo é essencial para a adoção de respostas adequadas, duradouras e promotoras de comunidades mais justas e saudáveis. O presente artigo visa estudar os determinantes sociais de saúde na Área Metropolitana de Lisboa (AML), especificamente: pobreza/privação material; habitação; acesso à saúde; trabalho; e educação. A pesquisa e análise documental focada nos determinantes em estudo foi suportada por diferentes fontes oficiais nacionais e regionais. O estudo dos determinantes na AML evidenciou tendências positivas e negativas. É a região do país com menor risco de pobreza/privação material; tem os trabalhadores mais qualificados e apresenta os níveis de escolaridade mais altos. Em contraposição, os indicadores de privação habitacional são os mais elevados; apresenta indicadores preocupantes ao nível do abandono escolar precoce nas mulheres e insuficiência no acesso aos cuidados de saúde primários, nomeadamente ao médico de família. Torna-se, assim, crucial investir em medidas promotoras do acesso a cuidados de saúde primários na AML e em políticas públicas que promovam o acesso à educação, previnam o abandono escolar e proporcionem o acesso a habitação condigna, pressupondo-se uma abordagem de proximidade, integrada, multidisciplinar e intersectorial.

show abstract

Contributions to Health Disparities Observed in the COVID19 Pandemic

Cited by 2 publications

References 0 publications

Assessment of Retrospective COVID-19 Spatial Clusters with Respect to Demographic Factors: Case Study of Kansas City, Missouri, United States

Assessment of Retrospective COVID-19 Spatial Clusters with Respect to Demographic Factors: Case Study of Kansas City, Missouri, United States

Contributos para o Estudo dos Determinantes Sociais de Saúde na Área Metropolitana de Lisboa

Contact Info

Product

Resources

About