Rising home values and Covid-19 case rates in Massachusetts

Arcaya, Mariana; Nidam, Yael; Binet, Andrew; Gibson, Reann; Gavin, Vedette

doi:10.1016/j.socscimed.2020.113290

Cited by 25 publications

(32 citation statements)

References 17 publications

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“…Overcrowded homes with few socioeconomic resources may be unable to alleviate the effect of poor housing (e.g., via proper ventilation) or to pay for adequate medical care to treat health problems related to overcrowding. Although some early studies highlight that high community rates of both poverty and household overcrowding are important predictors of COVID-19 risk ( Arcaya et al, 2020 ; Krieger et al, 2020 ), it remains unclear whether these two dimensions of disadvantage jointly shape COVID-19 mortality.…”

Section: Introductionmentioning

confidence: 99%

Overcrowding and COVID-19 mortality across U.S. counties: Are disparities growing over time?

Kamis¹,

Stolte²,

West³

et al. 2021

SSM - Population Health

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A growing line of research underscores that sociodemographic factors may contribute to disparities in the impact of COVID-19. Further, stages of disease theory suggests that disparities may grow as the pandemic unfolds and more advantaged areas are better able to apply growing knowledge and mitigation strategies. In this paper, we focus on the role of county-level household overcrowding on disparities in COVID-19 mortality in U.S. counties. We examine this relationship across three theoretically important periods of the pandemic from April–October 2020, that mark both separate stages of community knowledge and national mortality levels. We find evidence that the percentage of overcrowded households is a stronger predictor of COVID-19 mortality during later periods of the pandemic. Moreover, despite a relationship between overcrowding and poverty at the county-level, overcrowding plays an independent role in predicting COVID-19 mortality. Our findings underscore that areas disadvantaged by overcrowding may be more vulnerable to the effects of COVID-19 and that this vulnerability may lead to changing disparities over time.

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Section: Introductionmentioning

confidence: 99%

Overcrowding and COVID-19 mortality across U.S. counties: Are disparities growing over time?

Kamis¹,

Stolte²,

West³

et al. 2021

SSM - Population Health

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“…The HNR Consortium is a network of academic researchers, partners from community-based organizations, regional advocacy organizations, government agencies, and residents of nine neighborhoods in the greater Boston (MA) area (Figure 1). Members have spent more than 5 years engaged in the Healthy Neighborhoods Study, a longitudinal PAR study focused on the relationship between urban development and community health (Arcaya et al, 2018(Arcaya et al, , 2020Binet et al, 2019;The Healthy Neighborhoods Study, 2020). Through the study, 45 resident researchers-current or recent residents of the study neighborhoods ranging broadly in age, background, life experiences, languages spoken, and history in their communities-collaborate with academic researchers, leaders of community-based organizations, and representatives from public agencies across all phases of the research process.…”

Section: Methodsmentioning

confidence: 99%

The Moving Mapper

Daepp¹,

Binet²,

Gavin

et al. 2021

Journal of the American Planning Association

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Problem, research strategy, and findings: Big data promises new insights for planning but threatens to exclude community expertise from knowledge creation and decision-making processes. Participatory methods are needed to ensure that big data is marshaled to address problems of importance to communities, that hypotheses and interpretations are shaped by evidence from lived experience, and that results are ultimately useful to residents. In this study we used a participatory action research (PAR) framework to engage Boston (MA)-area residents in leveraging a longitudinal consumer credit database to understand shared planning challenges. We describe how residents, community organizations, and academic researchers collaborated to co-design an interactive map of residential moves across Massachusetts. The resulting estimates were largely consistent with residents' understandings of local moving patterns, providing a case of big data analysis confirming, and further specifying, phenomena identified through centering lived experience. Collaborative data analysis also generated new insights; for example, showing misalignment between regional planning boundaries and low-credit movers' moving patterns. This work shows how sustained PAR partnerships can combine the strengths of community expertise and big data analyses to inform planning.Takeaway for practice: PAR with big data is feasible, combines the power of lived experience and largescale quantitative analysis, and can mitigate the risks of exclusion that threaten emerging uses of big data.

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“…Crowding is associated with other housing and neighborhood factors that affect Latino youth, such as school quality (Massey et al 2013). Unaffordable housing often leads to crowding and elevated rates of displacement, homelessness, financial loss, and exposure to dangerous contagious diseases like COVID-19 (Arcaya et al 2020).…”

Section: Latino Youth: Housing Conditions Household Composition and Consequencesmentioning

confidence: 99%

From Crisis to Progress: Housing and Latino Youth since 2000

Rugh¹

2021

The ANNALS of the American Academy of Political and Social Scie

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Latino youth housing conditions have transformed dramatically over the past 20 years. Rates of household crowding have plummeted, nearly all Latino children are U.S.-born citizens, and broadband Internet access is widespread. However, Latino youth remain disadvantaged and their housing conditions remain understudied as they come of age in an era of housing crises, from foreclosures, evictions, to the novel coronavirus pandemic. This article examines Latino youth housing conditions since 2000, including crowding and mixed-nativity/status households. Multivariate analyses of national data show that eviction, foreclosure, and a representative zip code sample of COVID-19 case rates are strongly linked to the housing conditions of Latino youth. The article illustrates these links by analyzing and mapping eviction rates, foreclosure rates, and zip code coronavirus cases in the census tracts of Maricopa County, Arizona. The results underscore the urgent need for policies that invest in housing Latino youth to ensure that progress of the last 20 years is lasting.

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Rising home values and Covid-19 case rates in Massachusetts

Cited by 25 publications

References 17 publications

Overcrowding and COVID-19 mortality across U.S. counties: Are disparities growing over time?

Overcrowding and COVID-19 mortality across U.S. counties: Are disparities growing over time?

The Moving Mapper

From Crisis to Progress: Housing and Latino Youth since 2000

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