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1.
J Epidemiol Community Health ; 76(9): 833-838, 2022 09.
Article in English | MEDLINE | ID: covidwho-1993048

ABSTRACT

Recent crises have underscored the importance that housing has in sustaining good health and, equally, its potential to harm health. Considering this and building on Howden-Chapman's early glossary of housing and health and the WHO Housing and Health Guidelines, this paper introduces a range of housing and health-related terms, reflecting almost 20 years of development in the field. It defines key concepts currently used in research, policy and practice to describe housing in relation to health and health inequalities. Definitions are organised by three overarching aspects of housing: affordability (including housing affordability stress (HAS) and fuel poverty), suitability (including condition, accessibility and sustainable housing) and security (including precarious housing and homelessness). Each of these inter-related aspects of housing can be either protective of, or detrimental to, health. This glossary broadens our understanding of the relationship between housing and health to further promote interdisciplinarity and strengthen the nexus between these fields.


Subject(s)
Health Status , Housing , Costs and Cost Analysis , Ill-Housed Persons , Housing/economics , Humans , Poverty
2.
Lancet Infect Dis ; 21(7): 903-905, 2021 07.
Article in English | MEDLINE | ID: covidwho-1246257
3.
Nat Commun ; 12(1): 2274, 2021 04 15.
Article in English | MEDLINE | ID: covidwho-1189224

ABSTRACT

Massive unemployment during the COVID-19 pandemic could result in an eviction crisis in US cities. Here we model the effect of evictions on SARS-CoV-2 epidemics, simulating viral transmission within and among households in a theoretical metropolitan area. We recreate a range of urban epidemic trajectories and project the course of the epidemic under two counterfactual scenarios, one in which a strict moratorium on evictions is in place and enforced, and another in which evictions are allowed to resume at baseline or increased rates. We find, across scenarios, that evictions lead to significant increases in infections. Applying our model to Philadelphia using locally-specific parameters shows that the increase is especially profound in models that consider realistically heterogenous cities in which both evictions and contacts occur more frequently in poorer neighborhoods. Our results provide a basis to assess eviction moratoria and show that policies to stem evictions are a warranted and important component of COVID-19 control.


Subject(s)
COVID-19/transmission , Communicable Disease Control/methods , Housing/legislation & jurisprudence , Pandemics/prevention & control , Policy , COVID-19/economics , COVID-19/epidemiology , COVID-19/virology , Cities/legislation & jurisprudence , Cities/statistics & numerical data , Communicable Disease Control/legislation & jurisprudence , Computer Simulation , Housing/economics , Humans , Models, Statistical , Philadelphia/epidemiology , SARS-CoV-2/pathogenicity , Unemployment/statistics & numerical data , Urban Population/statistics & numerical data
5.
JAMA Netw Open ; 3(12): e2028195, 2020 12 01.
Article in English | MEDLINE | ID: covidwho-985881

ABSTRACT

Importance: Approximately 356 000 people stay in homeless shelters nightly in the United States. They have high risk of contracting coronavirus disease 2019 (COVID-19). Objective: To assess the estimated clinical outcomes, costs, and cost-effectiveness associated with strategies for COVID-19 management among adults experiencing sheltered homelessness. Design, Setting, and Participants: This decision analytic model used a simulated cohort of 2258 adults residing in homeless shelters in Boston, Massachusetts. Cohort characteristics and costs were adapted from Boston Health Care for the Homeless Program. Disease progression, transmission, and outcomes data were taken from published literature and national databases. Surging, growing, and slowing epidemics (effective reproduction numbers [Re], 2.6, 1.3, and 0.9, respectively) were examined. Costs were from a health care sector perspective, and the time horizon was 4 months, from April to August 2020. Exposures: Daily symptom screening with polymerase chain reaction (PCR) testing of individuals with positive symptom screening results, universal PCR testing every 2 weeks, hospital-based COVID-19 care, alternative care sites (ACSs) for mild or moderate COVID-19, and temporary housing were each compared with no intervention. Main Outcomes and Measures: Cumulative infections and hospital-days, costs to the health care sector (US dollars), and cost-effectiveness, as incremental cost per case of COVID-19 prevented. Results: The simulated population of 2258 sheltered homeless adults had a mean (SD) age of 42.6 (9.04) years. Compared with no intervention, daily symptom screening with ACSs for pending tests or confirmed COVID-19 and mild or moderate disease was associated with 37% fewer infections (1954 vs 1239) and 46% lower costs ($6.10 million vs $3.27 million) at an Re of 2.6, 75% fewer infections (538 vs 137) and 72% lower costs ($1.46 million vs $0.41 million) at an Re of 1.3, and 51% fewer infections (174 vs 85) and 51% lower costs ($0.54 million vs $0.26 million) at an Re of 0.9. Adding PCR testing every 2 weeks was associated with a further decrease in infections; incremental cost per case prevented was $1000 at an Re of 2.6, $27 000 at an Re of 1.3, and $71 000 at an Re of 0.9. Temporary housing with PCR every 2 weeks was most effective but substantially more expensive than other options. Compared with no intervention, temporary housing with PCR every 2 weeks was associated with 81% fewer infections (376) and 542% higher costs ($39.12 million) at an Re of 2.6, 82% fewer infections (95) and 2568% higher costs ($38.97 million) at an Re of 1.3, and 59% fewer infections (71) and 7114% higher costs ($38.94 million) at an Re of 0.9. Results were sensitive to cost and sensitivity of PCR and ACS efficacy in preventing transmission. Conclusions and Relevance: In this modeling study of simulated adults living in homeless shelters, daily symptom screening and ACSs were associated with fewer severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and decreased costs compared with no intervention. In a modeled surging epidemic, adding universal PCR testing every 2 weeks was associated with further decrease in SARS-CoV-2 infections at modest incremental cost and should be considered during future surges.


Subject(s)
COVID-19/prevention & control , Communicable Disease Control/methods , Health Care Costs , Hospitalization/economics , Housing/economics , Ill-Housed Persons , Mass Screening/methods , COVID-19/economics , COVID-19/epidemiology , COVID-19/transmission , COVID-19 Nucleic Acid Testing/economics , COVID-19 Nucleic Acid Testing/methods , Cohort Studies , Communicable Disease Control/economics , Computer Simulation , Cost-Benefit Analysis , Decision Support Techniques , Humans , Mass Screening/economics , SARS-CoV-2 , Symptom Assessment/economics , Symptom Assessment/methods , United States/epidemiology
6.
7.
PLoS One ; 15(10): e0240080, 2020.
Article in English | MEDLINE | ID: covidwho-835959

ABSTRACT

The global COVID-19 pandemic is causing unprecedented job loss and financial strain. It is unclear how those most directly experiencing economic impacts may seek assistance from disparate safety net programs. To identify self-reported economic hardship and enrollment in major safety net programs before and early in the COVID-19 pandemic, we compared individuals with COVID-19 related employment or earnings reduction with other individuals. We created a set of questions related to COVID-19 economic impact that was added to a cross-sectional, nationally representative online survey of American adults (age ≥18, English-speaking) in the AmeriSpeak panel fielded from April 23-27, 2020. All analyses were weighted to account for survey non-response and known oversampling probabilities. We calculated unadjusted bivariate differences, comparing people with and without COVID-19 employment and earnings reductions with other individuals. Our study looked primarily at awareness and enrollment in seven major safety net programs before and since the pandemic (Medicaid, health insurance marketplaces/exchanges, unemployment insurance, food pantries/free meals, housing/renters assistance, SNAP, and TANF). Overall, 28.1% of all individuals experienced an employment reduction (job loss or reduced earnings). Prior to the pandemic, 39.0% of the sample was enrolled in ≥1 safety net program, and 50.0% of individuals who subsequently experienced COVID-19 employment reduction were enrolled in at least one safety net program. Those who experienced COVID-19 employment reduction versus those who did not were significantly more likely to have applied or enrolled in ≥1 program (45.9% versus 11.7%, p<0.001) and also significantly more likely to specifically have enrolled in unemployment insurance (29.4% versus 5.4%, p < .001) and SNAP (16.8% versus 2.8%, p = 0.028). The economic devastation from COVID-19 increases the importance of a robust safety net.


Subject(s)
Betacoronavirus , Coronavirus Infections/economics , Coronavirus Infections/epidemiology , Health Insurance Exchanges , Health Services Accessibility , Medicaid , Pandemics/economics , Pneumonia, Viral/economics , Pneumonia, Viral/epidemiology , Safety-net Providers , Adolescent , Adult , COVID-19 , Coronavirus Infections/virology , Cross-Sectional Studies , Family Characteristics , Female , Food Assistance , Housing/economics , Humans , Male , Middle Aged , Pneumonia, Viral/virology , SARS-CoV-2 , Surveys and Questionnaires , Unemployment , United States/epidemiology , Young Adult
8.
Soc Sci Med ; 265: 113290, 2020 11.
Article in English | MEDLINE | ID: covidwho-710223

ABSTRACT

We explore whether housing displacement pressure could help explain place-based disparities in Massachusetts COVID-19 prevalence. We use qualitative data from the Healthy Neighborhoods Study to illustrate how rising and unaffordable housing costs are experienced by residents in municipalities disproportionately affected by COVID-19. We then predict municipal-level COVID-19 case rates as a function of home value increases and housing cost burden prevalence among low-income households, controlling for previously identified community-level risk factors. We find that housing value increase predicts higher COVID-19 case rates, but that associations are ameliorated in areas with higher home values. Qualitative data highlight crowding, "doubling up," homelessness, and employment responses as mechanisms that might link housing displacement pressure to COVID-19 prevalence.


Subject(s)
COVID-19/epidemiology , Housing/economics , Health Status Disparities , Ill-Housed Persons/statistics & numerical data , Humans , Interviews as Topic , Massachusetts/epidemiology , Pandemics , Qualitative Research , Residence Characteristics , SARS-CoV-2 , Socioeconomic Factors
9.
Med Leg J ; 88(2): 57-64, 2020 Jul.
Article in English | MEDLINE | ID: covidwho-591486

ABSTRACT

This is a personal view from London as the Covid-19 pandemic continues to spread here and the situation changes from day to day. As such it can only be a snapshot caught in time; it is not a diary of events. The Coronavirus Act 2020 gives Government enormous powers and was passed by Parliament in one day of debate immediately before it closed early for the Easter break. In March, the government imposed a "lockdown: the closure of all" but "essential" businesses and people other than essential workers must work from home but are allowed out for exercise and food shopping but must maintain 2 m apart, the "social distancing rule". The aim is to suppress the spread of the virus, reduce the death toll and "protect the National Health Service (NHS)" which needed time to empty wards and expand its intensive care unit (ICU) capability to deal with an expected influx of thousands of very sick patients. I discuss whether this strategy is working, how and why it has rapidly been altered to respond to criticism. Why was the Government so slow to seek the help of private laboratories to assist with testing? Why was the personal protective equipment (PPE) guidance altered only after criticism? I look at the impact of the lockdown on the UK economy, the changes to practice of medicine and speeding of scientific research. Cooperating with the lockdown has its price; is it harming the health and mental health of children, people living in households with potentially abusive partners or parents and those who are disabled or financially desperate? Is the cure worse than the disease? The Economy is being devastated by the lockdown and each day of lockdown it is worse. Is litigation being seeded even now by the pandemic? Notwithstanding unprecedented Government financial help many businesses are on the edge of collapse, people will lose their jobs and pensioners income. The winners include pharmacies, supermarkets, online food retailers, Amazon, online apps, providers of video games, services, streaming and scientific research laboratories, manufacturers of testing kits, ventilators, hand sanitisers, coffins, undertakers, etc. The British public is cooperating with lockdown but are we less productive at home? Parents with babies and children often child minders, school, grandparents or paid help which is not now available. Will current reliance on video-conferencing and video calls permanently change the way we work and will we need smaller city offices? Will we travel less? Will medical and legal practice and civil and criminal trials be generally carried out remotely? Will social distancing with self-isolation and job losses and business failures fuel depression? Is Covid-19 comparable to past epidemics like the Plague and Spanish flu?


Subject(s)
Betacoronavirus , Coronavirus Infections/epidemiology , Pneumonia, Viral/epidemiology , Anxiety/epidemiology , COVID-19 , Commerce/legislation & jurisprudence , Communicable Disease Control , Coronavirus Infections/transmission , Criminal Law , Depression/epidemiology , Economics , Forecasting , Freedom , Government Regulation , Housing/economics , Humans , Internet , London/epidemiology , Medical Staff, Hospital/supply & distribution , Nursing Staff, Hospital/supply & distribution , Pandemics , Panic , Personal Autonomy , Pneumonia, Viral/transmission , Public Health Administration , Quarantine , SARS-CoV-2 , Schools , Social Control Policies , Social Isolation , Telemedicine , Travel , Triage
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