Visualizing Neighborhood COVID-19 Levels, Trends, and Inequities in Wastewater: An Equity-Centered Approach and Comparison to CDC Methods.

CONTEXT: Monitoring neighborhood-level SARS-CoV-2 wastewater concentrations can help guide public health interventions and provide early warning ahead of lagging COVID-19 clinical indicators. To date, however, U.S. Centers for Disease Control and Prevention's (CDC) National Wastewater Surveillance System (NWSS) has provided methodology solely for communicating national and state-level "wastewater viral activity levels." PROGRAM: In October 2022, the Boston Public Health Commission (BPHC) began routinely sampling wastewater at 11 neighborhood sites to better understand COVID-19 epidemiology and inequities across neighborhoods, which vary widely in sociodemographic and socioeconomic characteristics. We developed equity-centered methods to routinely report interpretable and actionable descriptions of COVID-19 wastewater levels, trends, and neighborhood-level inequities. APPROACH AND IMPLEMENTATION: To produce these data visualizations, spanning October 2022 to December 2023, we followed four general steps: (1) smoothing raw values; (2) classifying current COVID-19 wastewater levels; (3) classifying current trends; and (4) reporting and visualizing results. EVALUATION: COVID-19 wastewater levels corresponded well with lagged COVID-19 hospitalizations and deaths over time, with "Very High" wastewater levels coinciding with winter surges. When citywide COVID-19 levels were at the highest and lowest points, levels and trends tended to be consistent across sites. In contrast, when citywide levels were moderate, neighborhood levels and trends were more variable, revealing inequities across neighborhoods, emphasizing the importance of neighborhood-level results. Applying CDC/NWSS state-level methodology to neighborhood sites resulted in vastly different neighborhood-specific wastewater cut points for "High" or "Low," obscured inequities between neighborhoods, and systematically underestimated COVID-19 levels during surge periods in neighborhoods with the highest COVID-19 morbidity and mortality. DISCUSSION: Our methods offer an approach that other local jurisdictions can use for routinely monitoring, comparing, and communicating neighborhood-level wastewater levels, trends, and inequities. Applying CDC/NWSS methodology at the neighborhood-level can obscure and perpetuate COVID-19 inequities. We recommend jurisdictions adopt equity-focused approaches in neighborhood-level wastewater surveillance for valid community comparisons.

Implementation of Neighborhood-Level Wastewater-Based Epidemiology to Measure and Mitigate Inequities in SARS-CoV-2 Infection in Boston, Massachusetts.

Starting October 2022, the Boston Public Health Commission implemented a neighborhood-level wastewater-based epidemiology program to inform strategies to reduce COVID-19 inequities. We collected samples twice weekly at 11 neighborhood sites, covering approximately 18% of Boston, Massachusetts's population. Results from the program's first year revealed inequities unobservable in regional wastewater data both between the City of Boston and the greater Boston area and between Boston neighborhoods. We report program results and neighborhood-specific recommendations and resources to help residents interpret and use our findings. (Am J Public Health. Published online ahead of print August 8, 2024:e1-e5. https://doi.org/10.2105/AJPH.2024.307749).

School closures significantly reduced arrests of black and latinx urban youth.

BACKGROUND & METHODS: Youth of color are surveilled and arrested by police at higher rates than their White peers, contributing to racial inequities across the life course and in population health. Previous research points to schools as an increasingly relevant site for youth criminalization, but existing studies emphasize within-school mechanisms, with limited analysis of policing in surrounding school areas. To fill this gap, we study changes in police arrests of youth after initial COVID-19 school closures in 2020 across four US cities overall and in relation to public school locations. We analyze geocoded arrest records and use interrupted time series negative binomial regression models with city and month fixed effects to estimate change in weekly arrest rates among White, Black, and Latinx youth. We estimate arrest densities within school areas before and after school closures using spatial buffers of 300 feet. RESULTS: In the immediate weeks and months following COVID-19 pandemic school closures, youth arrest rates fell dramatically and with lasting impacts compared to other age groups. During the period of remote learning, weekly youth arrest rates declined by 54.0% compared to youth arrests rates in 2019, adjusting for city and seasonality (Incident Rate Ratio 0.46, 95% CI: 0.41, 0.52). We estimate Black youth weekly arrests fell from 43.6 to 16.8 per 100,000, vs. 4.6 to 2.2 per 100,000 among White youth. However, Black youth arrest rates during the remote learning period were still nearly 5 times that of White youth pre-pandemic. We also find that youth arrest rates declined during two school closure periods: at the start of the pandemic in 2020 and during Summer 2019. A spatial analysis shows Black and Latinx youth arrest densities in the surrounding 300 feet of K-12 schools were at least 15 and 8.5 times that of White youth, respectively, in both pre- and remote-learning periods. CONCLUSIONS: Black and Latinx youth face a higher likelihood of being arrested near a school than do White youth and older age groups, and racial inequities in arrests remains after school closures. Our findings show school closures significantly reduced arrests of urban youth of color, and policies addressing youth criminalization and structural racism should consider the joint spatial context of schools and policing. Although school closures may have resulted in learning loss and harms to youth wellbeing, closures interrupted comparatively high levels of arrest for Black and Latinx youth.

Examining COVID-19 mortality rates by race and ethnicity among incarcerated people in 11 U.S. state prisons (March-October 2021).

Background: Populations who are incarcerated have experienced disproportionately high coronavirus disease 2019 (COVID-2019) mortality rates compared to the general population. However, mortality rates by race/ethnicity from federal, state, and local carceral settings are largely unavailable due to unregulated reporting; therefore, racial/ethnic inequities have yet to be examined. We aimed to estimate coronavirus disease 2019 (COVID-19) mortality rates among individuals incarcerated in U.S. state prisons by race and ethnicity (RE). Methods: Public records requests to state Departments of Corrections were used to identify deaths from COVID-19 among incarcerated adults occurring from March 1-October 1, 2020. We requested race, ethnicity, and age specific data on deaths and custody populations; sufficient data to calculate age-adjusted rates were obtained for 11 state systems. Race and ethnic specific unadjusted deaths rates per 100,000 persons were calculated overall and by state, based on March 1, 2020 custody populations. Rate ratios (RR) and 95% confidence intervals (95%CI) compared aggregated age-adjusted death rates by race and ethnicity, with White individuals as the reference group. Results: Of all COVID-related deaths in U.S. prisons through October 2020, 23.35% (272 of 1165) were captured in our analyses. The average age at COVID-19 death was 63 years (SD = 10 years) and was significantly lower among Black (60 years, SD = 11 years) compared to White adults (66 years, SD = 10 years; p < 0.001). In age-standardized analysis, COVID-19 death rates were significantly higher among Black (RR = 1.93, 95% CI: 1.25-2.99), Hispanic (RR = 1.81, 95% CI: 1.10-2.96) and those of Other racial and ethnic groups (RR = 2.60, 95% CI: 1.01-6.67) when compared to White individuals. Conclusions: Age-standardized death rates were higher among incarcerated Black, Hispanic and those of Other racial and ethnic groups compared to their White counterparts. Greater data transparency from all carceral systems is needed to better understand populations at disproportionate risk of COVID-19 morbidity and mortality.

Lifting Universal Masking in Schools - Covid-19 Incidence among Students and Staff.

BACKGROUND: In February 2022, Massachusetts rescinded a statewide universal masking policy in public schools, and many Massachusetts school districts lifted masking requirements during the subsequent weeks. In the greater Boston area, only two school districts - the Boston and neighboring Chelsea districts - sustained masking requirements through June 2022. The staggered lifting of masking requirements provided an opportunity to examine the effect of universal masking policies on the incidence of coronavirus disease 2019 (Covid-19) in schools. METHODS: We used a difference-in-differences analysis for staggered policy implementation to compare the incidence of Covid-19 among students and staff in school districts in the greater Boston area that lifted masking requirements with the incidence in districts that sustained masking requirements during the 2021-2022 school year. Characteristics of the school districts were also compared. RESULTS: Before the statewide masking policy was rescinded, trends in the incidence of Covid-19 were similar across school districts. During the 15 weeks after the statewide masking policy was rescinded, the lifting of masking requirements was associated with an additional 44.9 cases per 1000 students and staff (95% confidence interval, 32.6 to 57.1), which corresponded to an estimated 11,901 cases and to 29.4% of the cases in all districts during that time. Districts that chose to sustain masking requirements longer tended to have school buildings that were older and in worse condition and to have more students per classroom than districts that chose to lift masking requirements earlier. In addition, these districts had higher percentages of low-income students, students with disabilities, and students who were English-language learners, as well as higher percentages of Black and Latinx students and staff. Our results support universal masking as an important strategy for reducing Covid-19 incidence in schools and loss of in-person school days. As such, we believe that universal masking may be especially useful for mitigating effects of structural racism in schools, including potential deepening of educational inequities. CONCLUSIONS: Among school districts in the greater Boston area, the lifting of masking requirements was associated with an additional 44.9 Covid-19 cases per 1000 students and staff during the 15 weeks after the statewide masking policy was rescinded.

Community solutions to food apartheid: A spatial analysis of community food-growing spaces and neighborhood demographics in Philadelphia.

Black and low-income neighborhoods tend to have higher concentrations of fast-food restaurants and low produce supply stores. Limited access to and consumption of nutrient-rich foods is associated with poor health outcomes. Given the realities of food access, many members within the Black communities grow food as a strategy of resistance to food apartheid, and for the healing and self-determination that agriculture offers. In this paper, we unpack the history of Black people, agriculture, and land in the United States. In addition to our brief historical review, we conduct a descriptive epidemiologic study of community food-growing spaces, food access, and neighborhood racial composition in present day Philadelphia. We leverage one of the few existing datasets that systematically documents community food-growing locations throughout a major US city. By applying spatial regression techniques, we use conditional autoregressive models to determine if there are spatial associations between Black neighborhoods, poverty, food access, and urban agriculture in Philadelphia. Fully adjusted spatial models showed significant associations between Black neighborhoods and urban agriculture (RR: 1.28, 95% CI = 1.03, 1.59) and poverty and urban agriculture (RR: 1.27, 95% CI = 1.1, 1.46). The association between low food access and the presence of urban agriculture was generally increased across neighborhoods with a higher proportion of Black residents. These results show that Philadelphia neighborhoods with higher populations of Black people and neighborhoods with lower incomes, on average, tend to have more community gardens and urban farms. While the garden data is non-temporal and non-causal, one possible explanation for these findings, in alignment with what Philadelphia growers have claimed, is that urban agriculture may be a manifestation of collective agency and community resistance in Black and low-income communities, particularly in neighborhoods with low food access.

Racial Disparities in Neighborhood Arrest Rates during the COVID-19 Pandemic.

Structural racism in police contact is an important driver of health inequities among the U.S. urban population. Hyper-policing and police violence in marginalized communities have risen to the top of the national policy agenda, particularly since protests in 2020. How did pandemic conditions impact policing? We assess neighborhood racial disparities in arrests after COVID-19 stay-at-home orders in Boston, Charleston, Pittsburgh, and San Francisco census tracts (January 2019-August 2020). Using interrupted time series models with census tract fixed effects, we report arrest rates across tract racial and ethnic compositions. In the weeks following stay-at-home orders, overall arrest rates were 39% lower (95% CI: 37-41%) on average compared to rates the year prior. Although arrest rates steadily increased thereafter, most tracts did not reach pre-pandemic arrest levels. However, despite declines in nearly all census tracts, the magnitude of racial inequities in arrests remained unchanged. During the initial weeks of the pandemic, arrest rates declined significantly in areas with higher Black populations, but average rates in Black neighborhoods remained higher than pre-pandemic arrest rates in White neighborhoods. These findings support urban policy reforms that reconsider police capacity and presence, particularly as a mechanism for enforcing public health ordinances and reducing racial disparities.

Epidemiology of tuberculosis among children and adolescents in the USA, 2007-17: an analysis of national surveillance data.

BACKGROUND: Understanding tuberculosis epidemiology among children and adolescents informs treatment and prevention efforts, and efforts to eliminate disparities in tuberculosis incidence and mortality. We sought to describe the epidemiology of children and adolescents with tuberculosis disease in the USA, including tuberculosis incidence rates by parental country of birth and for US territories and freely associated states, which have not been previously described. METHODS: We analysed data for children aged younger than 15 years and adolescents aged 15-17 years with tuberculosis disease reported to the National Tuberculosis Surveillance System during 2007-17, and calculated tuberculosis incidence rates using population estimates from the US Census Bureau. FINDINGS: During 2010-17, 6072 tuberculosis cases occurred among children and adolescents; of these, 5175 (85%) of 6072 occurred in the 50 US states or the District of Columbia and 897 (15%) of 6072 in US-affiliated islands. In US states, 3520 (68%) of 5175 cases occurred among US-born people overall, including 2977 (76%) of 3896 children and 543 (42%) of 1279 adolescents. The incidence rate among children and adolescents was 1·0 per 100 000 person-years during 2007-17 and declined 47·8% (95% CI -51·4 to -44·1) during this period. We observed disproportionately high tuberculosis rates among children and adolescents of all non-white racial or ethnic groups, people living in US-affiliated islands, and children born in or with parents from tuberculosis-endemic countries. INTERPRETATION: Overall, tuberculosis incidence among children and adolescents in the USA is low and steadily declining, but additional efforts are needed to eliminate disparities in incidence and mortality. FUNDING: US Centers for Disease Control and Prevention.

Programmatic Evaluation of an Algorithm for Intensified Tuberculosis Case Finding and Isoniazid Preventive Therapy for People Living With HIV in Thailand and Vietnam.

BACKGROUND: Tuberculosis (TB) screening affords clinicians the opportunity to diagnose or exclude TB disease and initiate isoniazid preventive therapy (IPT) for people living with HIV (PLHIV). METHODS: We implemented an algorithm to diagnose or rule out TB among PLHIV in 11 HIV clinics in Thailand and Vietnam. We assessed algorithm yield and uptake of IPT and factors associated with TB disease among PLHIV. RESULTS: A total of 1448 PLHIV not yet on antiretroviral therapy (ART) were enrolled and screened for TB. Overall, 634 (44%) screened positive and 119 (8%) were diagnosed with TB; of these, 40% (48/119) were diagnosed by a positive culture following a negative sputum smear microscopy. In total, 55% of those eligible (263/477) started on IPT and of those, 75% (196/263) completed therapy. The prevalence of TB disease we observed in this study was 8.2% (8218 per 100,000 persons): 46 and 25 times the prevalence of TB in the general population in Thailand and Vietnam, respectively. Several factors were independently associated with TB disease including being underweight [aOR (95% CI): 2.3 (1.2 to 2.6)] and using injection drugs [aOR (95% CI): 2.9 (1.3 to 6.3)]. CONCLUSIONS: The high yield of TB disease diagnosed among PLHIV screened with the algorithm, and higher burden among PLHIV who inject drugs, underscores the need for innovative, tailored approaches to TB screening and prevention. As countries adopt test-and-start for antiretroviral therapy, TB screening, sensitive TB diagnostics, and IPT should be included in differentiated-care models for HIV to improve diagnosis and prevention of TB among PLHIV.

The role of supplementary environmental surveillance to complement acute flaccid paralysis surveillance for wild poliovirus in Pakistan - 2011-2013.

BACKGROUND: More than 99% of poliovirus infections are non-paralytic and therefore, not detected by acute flaccid paralysis (AFP) surveillance. Environmental surveillance (ES) can detect circulating polioviruses from sewage without relying on clinical presentation. With extensive ES and continued circulation of polioviruses, Pakistan presents a unique opportunity to quantify the impact of ES as a supplement to AFP surveillance on overall completeness and timeliness of poliovirus detection. METHODS: Genetic, geographic and temporal data were obtained for all wild poliovirus (WPV) isolates detected in Pakistan from January 2011 through December 2013. We used viral genetics to assess gaps in AFP surveillance and ES as measured by detection of 'orphan viruses' (≥1.5% different in VP1 capsid nucleotide sequence). We compared preceding detection of closely related circulating isolates (≥99% identity) detected by AFP surveillance or ES to determine which surveillance system first detected circulation before the presentation of each polio case. FINDINGS: A total of 1,127 WPV isolates were detected by AFP surveillance and ES in Pakistan from 2011-2013. AFP surveillance and ES combined exhibited fewer gaps (i.e., % orphan viruses) in detection than AFP surveillance alone (3.3% vs. 7.7%, respectively). ES detected circulation before AFP surveillance in nearly 60% of polio cases (200 of 346). For polio cases reported from provinces conducting ES, ES detected circulation nearly four months sooner on average (117.6 days) than did AFP surveillance. INTERPRETATION: Our findings suggest ES in Pakistan is providing earlier, more sensitive detection of wild polioviruses than AFP surveillance alone. Overall, targeted ES through strategic selection of sites has important implications in the eradication endgame strategy.