Electronic Health Record-Based Algorithm for Monitoring Respiratory Virus-Like Illness.

Viral respiratory illness surveillance has traditionally focused on single pathogens (e.g., influenza) and required fever to identify influenza-like illness (ILI). We developed an automated system applying both laboratory test and syndrome criteria to electronic health records from 3 practice groups in Massachusetts, USA, to monitor trends in respiratory viral-like illness (RAVIOLI) across multiple pathogens. We identified RAVIOLI syndrome using diagnosis codes associated with respiratory viral testing or positive respiratory viral assays or fever. After retrospectively applying RAVIOLI criteria to electronic health records, we observed annual winter peaks during 2015-2019, predominantly caused by influenza, followed by cyclic peaks corresponding to SARS-CoV-2 surges during 2020-2024, spikes in RSV in mid-2021 and late 2022, and recrudescent influenza in late 2022 and 2023. RAVIOLI rates were higher and fluctuations more pronounced compared with traditional ILI surveillance. RAVIOLI broadens the scope, granularity, sensitivity, and specificity of respiratory viral illness surveillance compared with traditional ILI surveillance.

Association between Combined Sewer Overflow Events and Gastrointestinal Illness in Massachusetts Municipalities with and without River-Sourced Drinking Water, 2014-2019.

BACKGROUND: Combined sewer overflow (CSO) events release untreated wastewater into surface waterbodies during heavy precipitation and snowmelt. Combined sewer systems serve ∼40 million people in the United States, primarily in urban and suburban municipalities in the Midwest and Northeast. Predicted increases in heavy precipitation events driven by climate change underscore the importance of quantifying potential health risks associated with CSO events. OBJECTIVES: The aims of this study were to a) estimate the association between CSO events (2014-2019) and emergency department (ED) visits for acute gastrointestinal illness (AGI) among Massachusetts municipalities that border a CSO-impacted river, and b) determine whether associations differ by municipal drinking water source. METHODS: A case time-series design was used to estimate the association between daily cumulative upstream CSO discharge and ED visits for AGI over lag periods of 4, 7, and 14 days, adjusting for temporal trends, temperature, and precipitation. Associations between CSO events and AGI were also compared by municipal drinking water source (CSO-impacted river vs. other sources). RESULTS: Extreme upstream CSO discharge events (>95th percentile by cumulative volume) were associated with a cumulative risk ratio (CRR) of AGI of 1.22 [95% confidence interval (CI): 1.05, 1.42] over the next 4 days for all municipalities, and the association was robust after adjusting for precipitation [1.17 (95% CI: 0.98, 1.39)], although the CI includes the null. In municipalities with CSO-impacted drinking water sources, the adjusted association was somewhat less pronounced following 95th percentile CSO events [CRR= 1.05 (95% CI: 0.82, 1.33)]. The adjusted CRR of AGI was 1.62 in all municipalities following 99th percentile CSO events (95% CI: 1.04, 2.51) and not statistically different when stratified by drinking water source. DISCUSSION: In municipalities bordering a CSO-impacted river in Massachusetts, extreme CSO events are associated with higher risk of AGI within 4 days. The largest CSO events are associated with increased risk of AGI regardless of drinking water source. https://doi.org/10.1289/EHP14213.

Using decision tree models and comprehensive statewide data to predict opioid overdoses following prison release.

PURPOSE: Identifying predictors of opioid overdose following release from prison is critical for opioid overdose prevention. METHODS: We leveraged an individually linked, state-wide database from 2015-2020 to predict the risk of opioid overdose within 90 days of release from Massachusetts state prisons. We developed two decision tree modeling schemes: a model fit on all individuals with a single weight for those that experienced an opioid overdose and models stratified by race/ethnicity. We compared the performance of each model using several performance measures and identified factors that were most predictive of opioid overdose within racial/ethnic groups and across models. RESULTS: We found that out of 44,246 prison releases in Massachusetts between 2015-2020, 2237 (5.1%) resulted in opioid overdose in the 90 days following release. The performance of the two predictive models varied. The single weight model had high sensitivity (79%) and low specificity (56%) for predicting opioid overdose and was more sensitive for White non-Hispanic individuals (sensitivity = 84%) than for racial/ethnic minority individuals. CONCLUSIONS: Stratified models had better balanced performance metrics for both White non-Hispanic and racial/ethnic minority groups and identified different predictors of overdose between racial/ethnic groups. Across racial/ethnic groups and models, involuntary commitment (involuntary treatment for alcohol/substance use disorder) was an important predictor of opioid overdose.

Key Informants' Perceptions of Health Equity and Racial Justice Impacts of the 2019 Massachusetts An Act Modernizing Tobacco Control.

INTRODUCTION: The Massachusetts legislature passed An Act Modernizing Tobacco Control in November 2019 to restrict retail sales of flavored commercially manufactured tobacco products including menthol products, increase penalties for violating the law's provisions, and provide health insurance coverage for tobacco treatment. AIMS AND METHODS: This study explores key informants' perceptions of intended and unintended impacts of implementation of the 2019 Massachusetts statewide law through a health equity and racial justice lens. We conducted in-depth interviews with 25 key informants from three key informant groups (public health officials and advocates, clinicians, and school staff) between March 2021 and April 2022. Using deductive codes on unintended impacts of the implementation of the law's policies, we conducted a focused analysis to identify impacts that were perceived and observed by informants from different key informant groups. RESULTS: Perceived or observed impacts of the law were identified across multiple levels by key informants and included concerns related to three broad themes: 1) intended impacts on health equity and racial justice, 2) ongoing availability of restricted products undermining the intended impact of the law, and 3) inequitable targeting by the policies and enforcement among communities of color. CONCLUSIONS: Future evaluation is needed to assess the intended and unintended impacts of implementation of the Massachusetts law to maximize the potential of the policies to reduce tobacco-related health disparities. We discuss implications and recommendations for achieving a national policy and equitable enforcement of flavored tobacco sales restrictions. IMPLICATIONS: This qualitative study among 25 key informants including public health and tobacco control advocates, clinicians, and school staff obtained perspectives of intended and unintended health equity and racial justice impacts of the 2019 Massachusetts An Act Modernizing Tobacco Control. Findings and recommendations from this study can inform monitoring efforts to assess the law's impacts in Massachusetts and the adoption of similar flavored tobacco sales restrictions and other tobacco control policies in other states to maximize the health equity benefits and minimize unintended impacts.

Community Hospital Interventions Addressing the Medical and Social Needs of Patients : Patient Perspectives From the CHART Investment Program.

High utilizers of acute care in nonurban settings are at risk for poor health outcomes. Much of Massachusetts is nonurban, with many residents experiencing limited access to health care providers, fragmented health care services, inadequate housing, and low health literacy. This study examines patient perspectives on the Community Hospital Acceleration, Revitalization, and Transformation (CHART) investment program, a state-based grant program focused on advancing community hospitals toward value-based care. We found that CHART staff engaged patients in care coordination and patient advocacy, promoted patient agency and health literacy, and provided socioemotional support. These findings may help inform future program development around meeting the medical and social needs of high utilizers of health care services.

Telehealth Medication Abortion in Primary Care: A Comparison to Usual in-Clinic Care.

INTRODUCTION: Providing abortion in primary care expands access and alleviates delays. The 2020 COVID-19 public health emergency (PHE) led to the expansion of telehealth, including medication abortion (MAB). This study evaluates the accessibility of novel telehealth MAB (teleMAB) initiated during the PHE, with the lifting of mifepristone restrictions, compared with traditional in-clinic MAB offered before the PHE at a Massachusetts safety-net primary care organization. METHODS: We conducted a retrospective electronic medical record review of 267 MABs. We describe sociodemographic, care access, and complete abortion characteristics and compare differences between teleMAB and in-clinic MABs using Chi-squared test, fisher's exact test, independent t test, and Wilcoxon rank sum. We conducted logistic regression to examine differences in time to care (6 days or less vs 7 days or more). RESULTS: 184 MABs were eligible for analysis (137 in-clinic, 47 teleMAB). Patients were not significantly more likely to receive teleMAB versus in-clinic MAB based on race, ethnicity, language, or payment. Completed abortion did not significantly differ between groups (P = .187). Patients received care more quickly when accessing teleMAB compared with usual in-clinic MAB (median 3 days, range 0 to 20 vs median 6 days, range 0 to 32; P < . 001). TeleMAB patients had 2.29 times the odds of having their abortion appointment within 6 days compared with in-clinic (95% CI: 1.13, 4.86). CONCLUSION: TeleMAB in primary care is as effective, timelier, and potentially more accessible than in-clinic MAB when in-person mifepristone regulations were enforced. TeleMAB is feasible and can promote patient-centered and timely access to abortion care.

LatinX harm reduction capital, medication for opioid use disorder, and nonfatal overdose: A structural equation model analysis among people who use drugs in Massachusetts.

BACKGROUND: We introduce the concept of harm reduction capital (HRCap) as the combination of knowledge, resources, and skills related to substance use risk reduction, which we hypothesize to predict MOUD use and opioid overdose. In this study, we explored the interrelationships between ethnicity, HRCap, nonfatal overdose, and MOUD use among PWUD. METHODS: Between 2017 and 2019, people who currently or in the past used opioids and who lived in Massachusetts completed a one-time survey on substance use history, treatment experiences, and use of harm reduction services. We fit first-order measurement constructs for positive and negative HRCap (facilitators and barriers). We used generalized structural equation models to examine the inter-relationships of the latent constructs with LatinX self-identification, past year overdose, and current use of MOUD. RESULTS: HRCap barriers were positively associated with past-year overdose (b=2.6, p<0.05), and LatinX self-identification was inversely associated with HRCap facilitators (b=-0.49, p<0.05). There was no association between overdose in the past year and the current use of MOUD. LatinX self-identification was positively associated with last year methadone treatment (b=0.89, p<0.05) but negatively associated with last year buprenorphine treatment (b=-0.68, p<0.07). Latinx PWUD reported lower positive HRCap than white non-LatinX PWUD and had differential utilization of MOUD. CONCLUSION: Our findings indicate that a recent overdose was not associated with the current use of MOUD, highlighting a severe gap in treatment utilization among individuals at the highest risk. The concept of HRCap and its use in the model highlight substance use treatment differences, opportunities for intervention, and empowerment.

Medicaid Inmate Exclusion Policy and Infectious Diseases Care for Justice-Involved Populations.

The Medicaid Inmate Exclusion Policy (MIEP) prohibits using federal funds for ambulatory care services and medications (including for infectious diseases) for incarcerated persons. More than one quarter of states, including California and Massachusetts, have asked the federal government for authority to waive the MIEP. To improve health outcomes and continuation of care, those states seek to cover transitional care services provided to persons in the period before release from incarceration. The Massachusetts Sheriffs' Association, Massachusetts Department of Correction, Executive Office of Health and Human Services, and University of Massachusetts Chan Medical School have collaborated to improve infectious disease healthcare service provision before and after release from incarceration. They seek to provide stakeholders working at the intersection of criminal justice and healthcare with tools to advance Medicaid policy and improve treatment and prevention of infectious diseases for persons in jails and prisons by removing MIEP barriers through Section 1115 waivers.

Deployment of the National Notifiable Diseases Surveillance System during the 2022-23 mpox outbreak in the United States-Opportunities and challenges with case notifications during public health emergencies.

Timely case notifications following the introduction of an uncommon pathogen, such as mpox, are critical for understanding disease transmission and for developing and implementing effective mitigation strategies. When Massachusetts public health officials notified the Centers for Disease Control and Prevention (CDC) about a confirmed orthopoxvirus case on May 17, 2023, which was later confirmed as mpox at CDC, mpox was not a nationally notifiable disease. Because existing processes for new data collections through the National Notifiable Disease Surveillance System were not well suited for implementation during emergency responses at the time of the mpox outbreak, several interim notification approaches were established to capture case data. These interim approaches were successful in generating daily case counts, monitoring disease transmission, and identifying high-risk populations. However, the approaches also required several data collection approvals by the federal government and the Council for State and Territorial Epidemiologists, the use of four different case report forms, and the establishment of complex data management and validation processes involving data element mapping and record-level de-duplication steps. We summarize lessons learned from these interim approaches to inform and improve case notifications during future outbreaks. These lessons reinforce CDC's Data Modernization Initiative to work in close collaboration with state, territorial, and local public health departments to strengthen case-based surveillance prior to the next public health emergency.

Cost of start-up activities to implement a community-level opioid overdose reduction intervention in the HEALing Communities Study.

BACKGROUND: Communities That HEAL (CTH) is a novel, data-driven community-engaged intervention designed to reduce opioid overdose deaths by increasing community engagement, adoption of an integrated set of evidence-based practices, and delivering a communications campaign across healthcare, behavioral-health, criminal-legal, and other community-based settings. The implementation of such a complex initiative requires up-front investments of time and other expenditures (i.e., start-up costs). Despite the importance of these start-up costs in investment decisions to stakeholders, they are typically excluded from cost-effectiveness analyses. The objective of this study is to report a detailed analysis of CTH start-up costs pre-intervention implementation and to describe the relevance of these data for stakeholders to determine implementation feasibility. METHODS: This study is guided by the community perspective, reflecting the investments that a real-world community would need to incur to implement the CTH intervention. We adopted an activity-based costing approach, in which resources related to hiring, training, purchasing, and community dashboard creation were identified through macro- and micro-costing techniques from 34 communities with high rates of fatal opioid overdoses, across four states-Kentucky, Massachusetts, New York, and Ohio. Resources were identified and assigned a unit cost using administrative and semi-structured-interview data. All cost estimates were reported in 2019 dollars. RESULTS: State-level average and median start-up cost (representing 8-10 communities per state) were $268,657 and $175,683, respectively. Hiring and training represented 40%, equipment and infrastructure costs represented 24%, and dashboard creation represented 36% of the total average start-up cost. Comparatively, hiring and training represented 49%, purchasing costs represented 18%, and dashboard creation represented 34% of the total median start-up cost. CONCLUSION: We identified three distinct CTH hiring models that affected start-up costs: hospital-academic (Massachusetts), university-academic (Kentucky and Ohio), and community-leveraged (New York). Hiring, training, and purchasing start-up costs were lowest in New York due to existing local infrastructure. Community-based implementation similar to the New York model may have lower start-up costs due to leveraging of existing infrastructure, relationships, and support from local health departments.

Identifying data-driven subtypes of major depressive disorder with electronic health records.

BACKGROUND: Efforts to reduce the heterogeneity of major depressive disorder (MDD) by identifying subtypes have not yet facilitated treatment personalization or investigation of biology, so novel approaches merit consideration. METHODS: We utilized electronic health records drawn from 2 academic medical centers and affiliated health systems in Massachusetts to identify data-driven subtypes of MDD, characterizing sociodemographic features, comorbid diagnoses, and treatment patterns. We applied Latent Dirichlet Allocation (LDA) to summarize diagnostic codes followed by agglomerative clustering to define patient subgroups. RESULTS: Among 136,371 patients (95,034 women [70 %]; 41,337 men [30 %]; mean [SD] age, 47.0 [14.0] years), the 15 putative MDD subtypes were characterized by comorbidities and distinct patterns in medication use. There was substantial variation in rates of selective serotonin reuptake inhibitor (SSRI) use (from a low of 62 % to a high of 78 %) and selective norepinephrine reuptake inhibitor (SNRI) use (from 4 % to 21 %). LIMITATIONS: Electronic health records lack reliable symptom-level data, so we cannot examine the extent to which subtypes might differ in clinical presentation or symptom dimensions. CONCLUSION: These data-driven subtypes, drawing on representative clinical cohorts, merit further investigation for their utility in identifying more homogeneous patient populations for basic as well as clinical investigation.

An Analysis of Orientation and Preceptorship Influence on Nurse Job Satisfaction Across Two States.

A large public nursing data set was used to determine whether orientation and/or preceptor programs impact job satisfaction among registered nurses in Maine and Massachusetts. There was no association between orientation and preceptor programs and satisfaction, nor evidence that new nurse status modified the relationship. There is a need for evaluation of orientation and preceptor programs' structure and effectiveness, and innovation is needed in promoting job satisfaction, thereby increasing nurse retention.

Increase in Functional Tic Presentations in Sexual Orientation and Gender Identity Minority Youth During Coronavirus Disease 2019.

BACKGROUND: Functional tic disorders are among the least common functional movement disorders, but their prevalence rose during the coronavirus disease 2019 (COVID-19) pandemic. Although female adolescents develop functional neurological disorders at higher rates than males, investigations into sexual orientation and gender identity (SOGI) status of these patients are limited. METHODS: We completed a retrospective, cross-sectional time series examining the incidence of new-onset functional tic disorders in youth presenting to the Massachusetts General Hospital Movement Disorder clinics before and during the COVID-19 pandemic. Data were collected by searching for relevant International Classification of Diseases (ICD)-10 diagnostic codes in youth aged nine to 26 years using a hospital-wide data repository. Individual cases were reviewed for inclusion based on clinical criteria and expert consensus. RESULTS: The prevalence of functional tic presentations in youth rose 8.6-fold from pre- to postpandemic levels (Fisher exact test P < 0.001), whereas the prevalence of developmental tic presentations pre- and postpandemic remained stable (114 vs 112). SOGI minority youth comprised 37% of those with functional tics (total n = 19). Ninety five percent of patients with functional tics identified as female, with 10% of these identifying as transgender. CONCLUSIONS: Our data confirm previously demonstrated dramatic rises in functional tic presentations during the COVID-19 pandemic and, more notably, reveal a strong association with SOGI minority status. We highlight the potential link between functional tic disorders and SOGI minority status. Providing a safe and supportive clinical environment and addressing stress linked to SOGI minority status may help to improve patient prognosis.

Expanding the Massachusetts Birth Defects Monitoring Program to include additional pregnancy outcomes: Programmatic efforts and impacts on case ascertainment, 2012-2020.

BACKGROUND: Birth defects affect 1 in 33 infants in the United States and are a leading cause of infant mortality. Birth defects surveillance is crucial for informing public health action. The Massachusetts Birth Defects Monitoring Program (MBDMP) began collecting other pregnancy losses (OPLs) in 2011, including miscarriages (<20 weeks gestation) or elective terminations (any gestational age), in addition to live births and stillbirths (≥20 weeks gestation). We describe programmatic changes for adding OPLs and their impact on prevalence estimates. METHODS: Using population-based, statewide, data from the MBDMP (2012-2020), we assessed prevalence per 10,000 live births and 95% confidence intervals (CIs) with and without OPLs overall and for specific birth defects by time period, maternal age, and race/ethnicity. RESULTS: Including OPLs required amending a state statute and promulgating regulations, new data sources, and additional data processing, cleaning, and verification. Overall prevalence with OPLs increased from 257.4 (95% CI: 253.5-261.4) to 333.9 (95% CI: 329.4-338.4) per 10,000; increases were observed in all time periods, age, and race/ethnicity groups. After including OPLs, the prevalence increased for neural tube defects [3.2 (2.7-3.6) to 8.3 (7.6-9.0)], and trisomies 13 [0.5 (0.3-0.7) to 4.1 (3.6-4.6)], 18 [1.5 (1.2-1.9) to 8.2 (7.5-8.9)], and 21 [12.3 (11.4-13.2) to 28.9 (27.6-30.2)]. Cardiovascular defects increased slightly, while prevalence of eye/ear, respiratory, and gastrointestinal defects remained similar. CONCLUSIONS: Adding OPLs required substantial programmatic efforts and resulted in more complete case ascertainment, particularly for certain birth defects. More complete case ascertainment will allow for improved research, screening, and resource allocation.

COVID-19 mortality among Massachusetts workers and the association with telework ability, 2020.

BACKGROUND: Working outside the home put some workers at risk for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure and might partly explain elevated coronavirus disease 2019 (COVID-19) mortality rates in the first months of the pandemic in certain groups of Massachusetts workers. To further investigate this premise, we examined COVID-19 mortality among Massachusetts workers, with a specific focus on telework ability based on occupation. METHODS: COVID-19-associated deaths between January 1 and December 31, 2020 among Massachusetts residents aged 18-64 years were analyzed. Deaths were categorized into occupation-based quadrants (Q) of telework ability. Age-adjusted rates were calculated by key demographics, industry, occupation, and telework quadrant using American Community Survey workforce estimates as denominators. Rate ratios (RRs) and 95% confidence intervals comparing rates for quadrants with workers unlikely able to telework (Q2, Q3, Q4) to that among those likely able to telework (Q1) were calculated. RESULTS: The overall age-adjusted COVID-19-associated mortality rate was 26.4 deaths per 100,000 workers. Workers who were male, Black non-Hispanic, Hispanic, born outside the US, and with lower than a high school education level experienced the highest rates among their respective demographic groups. The rate varied by industry, occupation and telework quadrant. RRs comparing Q2, Q3, and Q4 to Q1 were 0.99 (95% confidence interval [CI]: 0.8-1.2), 3.2 (95% CI: 2.6-3.8) and 2.5 (95% CI: 2.0-3.0), respectively. CONCLUSION: Findings suggest a positive association between working on-site and COVID-19-associated mortality. Work-related factors likely contributed to COVID-19 among Massachusetts workers and should be considered in future studies of COVID-19 and similar diseases.

Differential Impact of Massachusetts, Canadian 4/91, and California (Cal) 1737 Genotypes of Infectious Bronchitis Virus Infection on Lymphoid Organs of Chickens.

Infectious bronchitis virus (IBV) induces severe economic losses in chicken farms due to the emergence of new variants leading to vaccine breaks. The studied IBV strains belong to Massachusetts (Mass), Canadian 4/91, and California (Cal) 1737 genotypes that are prevalent globally. This study was designed to compare the impact of these three IBV genotypes on primary and secondary lymphoid organs. For this purpose, one-week-old specific pathogen-free chickens were inoculated with Mass, Canadian 4/91, or Cal 1737 IBV variants, keeping a mock-infected control. We examined the IBV replication in primary and secondary lymphoid organs. The molecular, histopathological, and immunohistochemical examinations revealed significant differences in lesion scores and viral distribution in these immune organs. In addition, we observed B-cell depletion in the bursa of Fabricius and the spleen with a significant elevation of T cells in these organs. Further studies are required to determine the functional consequences of IBV replication in lymphoid organs.

"Wanna cry this out real quick?": an examination of secondary traumatic stress risk and resilience among post-overdose outreach staff in Massachusetts.

BACKGROUND: Post-overdose outreach programs engage overdose survivors and their families soon after an overdose event. Staff implementing these programs are routinely exposed to others' trauma, which makes them vulnerable to secondary traumatic stress (STS) and compassion fatigue. The purpose of this study was to explore experiences of STS and associated upstream and downstream risk and protective factors among program staff. METHODS: We conducted a post-hoc analysis of semi-structured interviews with post-overdose outreach program staff in Massachusetts. Transcripts were analyzed using a multi-step hybrid inductive-deductive approach to explore approaches and responses to outreach work, factors that might give rise to STS, and compassion fatigue resilience. Findings were organized according to the three main constructs within Ludick and Figley's compassion fatigue resilience model (empathy, secondary traumatic stress, and compassion fatigue resilience). RESULTS: Thirty-eight interviews were conducted with staff from 11 post-overdose outreach programs in Massachusetts. Within the empathy construct, concern for others' well-being emerged as a motivator to engage in post-overdose outreach work - with staff trying to understand others' perspectives and using this connection to deliver respectful and compassionate services. Within the secondary traumatic stress construct, interviewees described regular and repeated exposure to others' trauma - made more difficult when exposures overlapped with staff members' personal social spheres. Within the compassion fatigue resilience construct, interviewees described the presence and absence of self-care practices and routines, social supports, and workplace supports. Job satisfaction and emotional detachment from work experiences also arose as potential protective factors. Interviewees reported inconsistent presence and utilization of formal support for STS and compassion fatigue within their post-overdose outreach teams. CONCLUSION: Post-overdose outreach program staff may experience secondary traumatic stress and may develop compassion fatigue, particularly in the absence of resilience and coping strategies and support. Compassion fatigue resilience approaches for post-overdose outreach staff warrant further development and study.

Satellite imagery as a management tool for monitoring water clarity across freshwater ponds on Cape Cod, Massachusetts.

Water clarity serves as both an indicator and a regulator of biological function in aquatic systems. Large-scale, consistent water clarity monitoring is needed for informed decision-making. Inland freshwater ponds and lakes across Cape Cod, a 100-km peninsula in Massachusetts, are of particular interest for water clarity monitoring. Secchi disk depth (SDD), a common measure of water clarity, has been measured intermittently for over 200 Cape Cod ponds since 2001. Field-measured SDD data were used to estimate SDD from satellite data, leveraging the NASA/USGS Landsat Program and Copernicus Sentinel-2 mission, spanning 1984 to 2022. Random forest machine learning models were generated to estimate SDD from satellite reflectance data and maximum pond depth. Spearman rank correlations (rs) were "strong" for Landsat 5 and 7 (rs = 0.78 and 0.79), and "very strong" for Landsat 8, 9, and Sentinel-2 (rs = 0.83, 0.86, and 0.80). Mean absolute error also indicated strong predictive capacity, ranging from 0.65 to 1.05 m, while average bias ranged from -0.20 to 0.06 m. Long- and recent short-term changes in satellite-estimated SDD were assessed for 193 ponds, selected based on surface area and the availability of maximum pond depth data. Long-term changes between 1984 and 2022 established a retrospective baseline using the Mann-Kendall test for trend and Theil-Sen slope. Generally, long-term water clarity improved across the Cape; 149 ponds indicated increasing water clarity, and 8 indicated deteriorating water clarity. Recent short-term changes between 2021 and 2022 identified ponds that may benefit from targeted management efforts using the Mann-Whitney U test. Between 2021 and 2022, 96 ponds indicated deteriorations in water clarity, and no ponds improved in water clarity. While the 193 ponds analyzed here constitute only one quarter of Cape Cod ponds, they represent 85% of its freshwater surface area, providing the most spatially and temporally comprehensive assessment of Cape Cod ponds to date. Efforts are focused on Cape Cod, but can be applied to other areas given the availability of local field data. This study defines a framework for monitoring and assessing change in satellite-estimated SDD, which is important for both local and regional management and resource prioritization.

Association between social vulnerability and place of death during the first 2 years of COVID-19 in Massachusetts.

We investigated the relationship between individual-level social vulnerability and place of death during the infectious disease emergency of the COVID-19 pandemic in Massachusetts. Our research represents a unique contribution by matching individual-level death certificates with COVID-19 test data to analyse differences in distributions of place of death.