New species and a fascinating diversity of Chironomidae (Diptera, Insecta) in and around an overlooked urban vernal pool.

In this study, the biodiversity of Chironomidae was investigated in Palmer Park Pond A, an urban vernal pond in Detroit, Michigan, USA. This study is developed as part of our ongoing Public Environmental Outreach Program at the Detroit Exploration and Nature Center in Palmer Park. Twenty-one Chironomidae species were discovered in and on the adjacent riparian vegetation of this pond using molecular and morphological methods. Three species Bryophaenocladiuspalmerparcum Namayandeh & Hudson sp. nov., Limnophyesstagnum Namayandeh, Guerra & Ram sp. nov., and Rheocricotopus (s. s.) angustus Namayandeh & Hudson sp. nov. are new to science. Bryophaenocladiuspalmerparcum sp. nov. and L.stagnum sp. nov. are unusual Orthoclads, with B.palmerparcum sp. nov. possessing a setose, short, and wide anal point and L.stagnum sp. nov. lacking lanceolate setae on both sexes. Based on the shape of superior volsella, R.angustus sp. nov., belongs to the effusus group, which was also confirmed by DNA barcoding molecular analysis. In this study, a new faunistic record was also found for the Nearctic as well as four new faunistic records for the state of Michigan. Ephemeral aquatic habitats such as vernal pools are often overlooked or destroyed by urbanization activities, controlling vector species, creating groomed fields, and/or residential development. Therefore, finding these new species demonstrates the biodiversity value of vernal ponds as important habitats, further motivating us to preserve them.

Estimation of z-scores of cardiac structures in healthy children in Southeast Nigeria.

BACKGROUND: The z-scoring system shows the mean deviation of cardiac dimensions from age-specific population. The use of the European-based z-score studies has resulted in misdiagnosis and late treatment of Nigerian children with heart diseases leading to increased mortality and morbidity. OBJECTIVES: This study aimed to determine the z­scores for various cardiac structures and functions among healthy children in Southeast Nigeria. MATERIALS AND METHODS: This is a cross-sectional observational study where z-scores of the cardiac structure and function of three hundred healthy children were estimated using echocardiography and compared with the standard Detroit values. RESULT: There was a significant positive correlation between age and cardiac valve diameter. The aortic valve strongly correlated positively with age with the Pearson correlation coefficient (ρ) of 0.8 and probability value (P-value) of 0.00. None of the ventricular function variables deviated beyond the +2 or -2 z-score. There was a positive correlation between the z-scores of ventricular function parameters and participants' age, although the strength of the correlation varied. Comparing these values with that of Detroit values, there was a significant difference in the deviation of the mean of the mitral valve and left pulmonary artery diameters from the Detroit values between the males and the females. While the mean z-score mitral valve was 0.8 in males, it was 0.6 in females (P = 0.02). CONCLUSION: Z-scores of cardiac structures and function are derived from children in this locale. These values were similar to that of Detroit values except for the mitral valve and left pulmonary artery.

Violence Exposure and Mental Health Consequences Among Urban Youth.

Urban residents are disproportionately affected by violence exposure and mental health consequences as compared to non-urban residents. The present study examined the prevalence of violence exposure and associated mental health consequences among urban and non-urban youth. Urban participants were drawn from Detroit, Michigan, a city that has led the nation for most of the last decade as one of the most violent big cities in the U.S. Participants included 32 Detroit youth and 32 youth recruited from the surrounding non-urban areas, matched on age (M=10.4±2.8 years) and sex (49% male). Youth completed validated measures of violence exposure, anxiety, and depression symptoms. Urban youth reported more violence exposures than their non-urban counterparts, including hearing gunshots (69% vs. 19%, respectively), witnessing a shooting (24% vs. 6%), and witnessing an arrest (58% vs. 27%). Overall, greater violence exposure was associated with more anxiety symptoms, particularly among urban youth. Although violence exposure was not associated with depressive symptoms overall, urban youth reported significantly higher depressive symptoms than non-urban youth. Exposure to specific violence types, particularly hearing gunshots, was associated with higher anxiety and depressive symptoms among urban but not non-urban youth. Being beat up predicted depressive symptoms among non-urban but not urban youth. Household income and community distress did not predict mental health outcomes. Taken together, urban youth have more exposure to violence, particularly firearm violence, and associated mental health problems than their non-urban counterparts. Targeted community-wide initiatives to prevent violence and identify exposed youth are needed to improve mental health in at-risk communities.

Passive swab versus grab sampling for detection of SARS-CoV-2 markers in wastewater.

Early detection of the COVID-19 virus, SARS-CoV-2, is key to mitigating the spread of new outbreaks. Data from individual testing is increasingly difficult to obtain as people conduct non-reported home tests, defer tests due to logistics or attitudes, or ignore testing altogether. Wastewater based epidemiology is an alternative method for surveilling a community while maintaining individual anonymity; however, a problem is that SARS-CoV-2 markers in wastewater vary throughout the day. Collecting grab samples at a single time may miss marker presence, while autosampling throughout a day is technically challenging and expensive. This study investigates a passive sampling method that would be expected to accumulate greater amounts of viral material from sewers over a period of time. Tampons were tested as passive swab sampling devices from which viral markers could be eluted with a Tween-20 surfactant wash. Six sewersheds in Detroit were sampled 16-22 times by paired swab (4 h immersion before retrieval) and grab methods over a five-month period and enumerated for N1 and N2 SARS-CoV-2 markers using ddPCR. Swabs detected SARS-CoV-2 markers significantly more frequently (P < 0.001) than grab samples, averaging two to three-fold more copies of SARS-CoV-2 markers than their paired grab samples (p < 0.0001) in the assayed volume (10 mL) of wastewater or swab eluate. No significant difference was observed in the recovery of a spiked-in control (Phi6), indicating that the improved sensitivity is not due to improvements in nucleic acid recovery or reduction of PCR inhibition. The outcomes of swab-based sampling varied significantly between sites, with swab samples providing the greatest improvements in counts for smaller sewersheds that otherwise tend to have greater variation in grab sample counts. Swab-sampling with tampons provides significant advantages in detection of SARS-CoV-2 wastewater markers and are expected to provide earlier detection of new outbreaks than grab samples, with consequent public health benefits.

At the nexus of ludology and narratology: Advances in reality-based story-driven games.

Story-driven games are growing in popularity across a wide range of genres. However, the narrative potential of video games is still being debated, particularly in light of the so-called tension between gameplay and storytelling. This study proposes that rules and game mechanics perform narrative semiotic functions, offering a ludic grammar of interactive storytelling. Case studies of four representative games show through exploratory player action shaped by rules, the medium of video games can generate meanings that traditional media cannot, thereby better achieving their narrative goals.

The development of a 3D-printed in vitro integrated oro-pharyngeal air-liquid interface cellular throat model for drug transport.

To simulate the deposition of drugs in the oro-pharynx region, several in vitro models are available such as the United States Pharmacopeia-Induction Port (USP-IP) throat and the Virginia Commonwealth University (VCU) models. However, currently, there is no such in vitro model that incorporates a biological barrier to elucidate drug transport across the pharyngeal cells. Cellular models such as in vitro air-liquid interface (ALI) models of human respiratory epithelial cell lines are extensively used to study drug transport. To date, no studies have yet been performed to optimise the ALI culture conditions of the human pharyngeal cell line Detroit 562 and determine whether it could be used for drug transport. Therefore, this study aimed to develop a novel 3D-printed throat model integrated with an ALI cellular model of Detroit 562 cells and optimise the culture conditions to investigate whether the combined model could be used to study drug transport, using Lidocaine as a model drug. Differentiating characteristics specific to airway epithelia were assessed using 3 seeding densities (30,000, 60,000, and 80,000 cells/well (c/w), respectively) over 21 days. The results showed that Detroit 562 cells completely differentiates on day 18 of ALI for both 60,000 and 80,000 c/w with significant mucus production, showing response to bacterial and viral stimuli and development of functional tight junctions and Lidocaine transport with no significant differences observed between the ALI models with the 2 cell seeding densities. Results showed the suitability of the Low density (60,000 c/w or 1.8 × 105 cells/cm2) ALI model to study drug transport. Importantly, the developed novel 3D-printed throat model integrated with our optimised in vitro Detroit 562 ALI model showed transport of Lidocaine throat spray. Overall, the study highlights the potential of the novel 3D-printed bio-throat integrated model as a promising in vitro system to investigate the transport of inhalable drug therapies targeted at the oro-pharyngeal region.

"I Don't Really Know What Diabetes Is": A Qualitative Study Exploring the Experiences of Aboriginal and Torres Strait Islander Young People Aged 10 to 25 Years Living With Type 2 Diabetes in Northern and Central Australia.

OBJECTIVE: Our aim in this study was to gain an understanding of the experiences of Aboriginal and Torres Strait Islander young people aged 10 to 25 years with type 2 diabetes (T2D) living in Northern and Central Australia. METHODS: In this qualitative study we explored participants' experiences of T2D using a social constructionist epistemology and a phenomenologic methodology. Twenty-seven young people participated in semistructured in-depth interviews from 4 primary health-care sites. RESULTS: Three major constructs emerged. Young people experienced a normalisation-shame paradox in response to their diagnosis (partly related to that "everyone has diabetes," as well as the fear that friends "might judge [me]"), had suboptimal levels of understanding of T2D ("I don't really know what diabetes is. I just need somebody to explain to me a bit more") and experienced multiple barriers inhibiting their T2D management. These included complex lives ("I have a rheumatic heart disease […] then they told me that I have diabetes…I have two things") and the availability of support ("[I] talk to my mum…I talk to my aunty too…I don't talk to anyone else"). Successful management requires support from health professionals and family and includes strengthening social networks and educational opportunities. CONCLUSIONS: Our findings reinforce the need for alternative support systems tailored to the specific needs of young Aboriginal and Torres Strait Islander people with T2D. Enhanced models of care must be codesigned with young people and their communities and include a focus on shifting norms and expectations about youth T2D to reduce diabetes stigma and broaden social support and consider the delivery of health information in youth-friendly environments.

Surveillance of SARS-CoV-2 in nine neighborhood sewersheds in Detroit Tri-County area, United States: Assessing per capita SARS-CoV-2 estimations and COVID-19 incidence.

Wastewater-based epidemiology (WBE) has been suggested as a useful tool to predict the emergence and investigate the extent of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this study, we screened appropriate population biomarkers for wastewater SARS-CoV-2 normalization and compared the normalized SARS-CoV-2 values across locations with different demographic characteristics in southeastern Michigan. Wastewater samples were collected between December 2020 and October 2021 from nine neighborhood sewersheds in the Detroit Tri-County area. Using reverse transcriptase droplet digital polymerase chain reaction (RT-ddPCR), concentrations of N1 and N2 genes in the studied sites were quantified, with N1 values ranging from 1.92 × 102 genomic copies/L to 6.87 × 103 gc/L and N2 values ranging from 1.91 × 102 gc/L to 6.45 × 103 gc/L. The strongest correlations were observed with between cumulative COVID-19 cases per capita (referred as COVID-19 incidences thereafter), and SARS-CoV-2 concentrations normalized by total Kjeldahl nitrogen (TKN), creatinine, 5-hydroxyindoleacetic acid (5-HIAA) and xanthine when correlating the per capita SARS-CoV-2 and COVID-19 incidences. When SARS-CoV-2 concentrations in wastewater were normalized and compared with COVID-19 incidences, the differences between neighborhoods of varying demographics were reduced as compared to differences observed when comparing non-normalized SARS-CoV-2 with COVID-19 cases. This indicates when studying the disease burden in communities of different demographics, accurate per capita estimation is of great importance. The study suggests that monitoring selected water quality parameters or biomarkers, along with RNA concentrations in wastewater, will allow adequate data normalization for spatial comparisons, especially in areas where detailed sanitary sewage flows and contributing populations in the catchment areas are not available. This opens the possibility of using WBE to assess community infections in rural areas or the developing world where the contributing population of a sample could be unknown.

Sensitive detection of SARS-CoV-2 molecular markers in urban community sewersheds using automated viral RNA purification and digital droplet PCR.

Wastewater based epidemiology (WBE) has emerged as a strategy to identify, locate, and manage outbreaks of COVID-19, and thereby possibly prevent surges in cases, which overwhelm local to global health care networks. The WBE process is based on assaying municipal wastewater for molecular markers of the SARS-CoV-2 virus. Standard processes for purifying viral RNA from municipal wastewater are often time-consuming and require the handling of large quantities of wastewater, negatively affecting throughput, timely reporting, and safety. We demonstrate here an automated, faster system to purify viral RNA from smaller volumes of wastewater but with increased sensitivity for detection of SARS-CoV-2 markers. We document the effectiveness of this new approach by way of comparison to the PEG/NaCl/Qiagen method prescribed by the State of Michigan for SARS-CoV-2 wastewater monitoring and show its application to several Detroit sewersheds. Specifically, compared to the PEG/NaCl/Qiagen method, viral RNA purification using the PerkinElmer Chemagic™ 360 lowered handling time, decreased the amount of wastewater required by ten-fold, increased the amount of RNA isolated per µl of final elution product by approximately five-fold, and effectively removed ddPCR inhibitors from most sewershed samples. For detection of markers on the borderline of viral detectability, we found that use of the Chemagic™ 360 enabled the measurement of viral markers in a significant number of samples for which the result with the PEG/NaCl/Qiagen method was below the level of detectability. The improvement in detectability of the viral markers might be particularly important for early warning to public health authorities at the beginning of an outbreak. Applied to sewersheds in Detroit, the technique enabled more sensitive detection of SARS-CoV-2 markers with good correlation between wastewater signals and COVID-19 cases in the sewersheds. We also discuss advantages and disadvantages of several automated RNA purification systems, made by Promega, PerkinElmer, and ThermoFisher.

Five-week warning of COVID-19 peaks prior to the Omicron surge in Detroit, Michigan using wastewater surveillance.

Wastewater-based epidemiology (WBE) is useful in predicting temporal fluctuations of COVID-19 incidence in communities and providing early warnings of pending outbreaks. To investigate the relationship between SARS-CoV-2 concentrations in wastewater and COVID-19 incidence in communities, a 12-month study between September 1, 2020, and August 31, 2021, prior to the Omicron surge, was conducted. 407 untreated wastewater samples were collected from the Great Lakes Water Authority (GLWA) in southeastern Michigan. N1 and N2 genes of SARS-CoV-2 were quantified using RT-ddPCR. Daily confirmed COVID-19 cases for the City of Detroit, and Wayne, Macomb, Oakland counties between September 1, 2020, and October 4, 2021, were collected from a public data source. The total concentrations of N1 and N2 genes ranged from 714.85 to 7145.98 gc/L and 820.47 to 6219.05 gc/L, respectively, which were strongly correlated with the 7-day moving average of total daily COVID-19 cases in the associated areas, after 5 weeks of the viral measurement. The results indicate a potential 5-week lag time of wastewater surveillance preceding COVID-19 incidence for the Detroit metropolitan area. Four statistical models were established to analyze the relationship between SARS-CoV-2 concentrations in wastewater and COVID-19 incidence in the study areas. Under a 5-week lag time scenario with both N1 and N2 genes, the autoregression model with seasonal patterns and vector autoregression model were more effective in predicting COVID-19 cases during the study period. To investigate the impact of flow parameters on the correlation, the original N1 and N2 gene concentrations were normalized by wastewater flow parameters. The statistical results indicated the optimum models were consistent for both normalized and non-normalized data. In addition, we discussed parameters that explain the observed lag time. Furthermore, we evaluated the impact of the omicron surge that followed, and the impact of different sampling methods on the estimation of lag time.

The impact of stigma on HIV testing decisions for gay, bisexual, queer and other men who have sex with men: a qualitative study.

BACKGROUND: Stigmatization may prompt gay, bisexual, queer and other men who have sex with men (GBQMSM) to avoid or delay HIV testing. There has been little attention to GBQMSMs' perspectives about how stigma may influence their decisions about whether, where, and how often to get tested for HIV. METHODS: We conducted nine focus groups with 64 adult GBQMSM in Metropolitan Detroit, including HIV-negative men and people living with HIV (PLWH). Data were thematically analyzed deductively and inductively in three rounds. RESULTS: Three themes emerged regarding whether to get tested: (1) Perceived promiscuity, risk perceptions and HIV testing; (2) Fearing sexual rejection; and (3) Fearing friend and family member distancing and rejection. Themes concerning where to get tested included: (4) Conflating HIV testing and diagnosis; and (5) Seeking privacy and safety at specialized services. As for how often to get tested, themes included: (6) Reducing contact with healthcare providers due to intersectional stigma; (7) Responsibility and regular testing; and (8) HIV stigma and testing as routine care. Black participants articulated themes (3), (4), and (6) with greater frequency than other participants. Framing HIV testing as a personal responsibility may have created a "new stigma," with unintended consequences not observed with "routine healthcare" messaging. CONCLUSIONS: GBQMSMs' perspectives indicate the potential for new foci for HIV testing promotion interventions based on stigma-related issues that they deem important. There is a need for interventions to challenge the "promiscuity" stereotype, and to reduce the sexual stigmatization of GBQMSM living with HIV/AIDS-especially online. Provider stigma requires both intervention and continued availability of specialized services. Future stigma-reduction interventions for Black GBQMSM could focus on building family support/acceptance, awareness of multiple testing options, and integrating LGBTQ-related issues into initiatives for racial justice in health care.

Healthy lifestyle initiatives for increasing fruit and vegetable intake among Aboriginal and Torres Strait Islander peoples.

Adequate fruit and vegetable intake is key to reducing chronic disease risk among Australian Aboriginal and Torres Strait Islander peoples. This rapid review collated evidence on healthy lifestyle initiatives that focused on increasing fruit and vegetable intake among Australian Aboriginal and Torres Strait Islander peoples residing in major cities. Due to limited studies conducted within major cities, we extended our inclusion criteria to regional and remote areas. Sixteen studies were included. Five (31%) studies were rated as good quality (least risk of bias), 10 (63%) studies were rated as fair, and 1 (6%) study was rated as poor (significant risk of bias). Five (31%) studies employed participatory research in the design and/or execution, and 7 (44%) studies included minimal community involvement. Only 5 (31%) studies were undertaken in major cities; 4 of these combined major cities with regional and/or remote areas. All 5 studies reported positive findings, such as an increase in fresh fruit availability, usage of fresh vegetables, or self-reported fruit and vegetable intake. This review provides evidence confirming the need for high-quality healthy lifestyle initiatives to increase fruit and vegetable intake targeted at Aboriginal and Torres Strait Islander peoples living in major cities. This evidence will assist community organisations in designing effective health promotion interventions, providing insight into improving the structure and function of such programs. PROSPERO registration number: CRD42020194522. Novelty Five studies were undertaken in major cities and all reported positive findings; only 1 study was rated as good quality. Presented data supports the need for high-quality studies to be conducted among those residing in major cities.

Threats to and Opportunities for Low-Income Homeownership, Housing Stability, and Health: Protocol for the Detroit 2017 Make-It-Home Evaluation Study.

Few studies have examined the combined effects of affordability, housing conditions and neighborhood characteristics on the housing stability and health of low-income homeowners. We begin to address these gaps through a mixed-method study design that evaluates the Make-it-Home program (MiH) in Detroit, Michigan, aimed at helping low-income tenants become homeowners when their landlords lose their homes to tax foreclosure. We compare the 'intervened group' of MiH homeowners to a 'comparison' group of similarly situated households whose homes experience property tax foreclosure at the same time. The comparison group represents the likely outcomes for the participants had they not participated the program. Participants will be surveyed twice (intervened group), or once (comparison group) per year over a three-year period, regarding their housing and neighborhood conditions, health, life events, and socio-economic status, including income and employment. We will use property and neighborhood census data to further examine the conditions experienced. The findings for policy and program development from this study are timely as the nation faces a chronic shortage of affordable housing for both purchasers and renters. The results suggest ways to improve the MiH program and lay out approaches for researchers to navigate some of the complexities associated with this type of research.

The effect of stress and acculturation on the self-rated health of Arab Americans.

BACKGROUND: The self-rated health of Arab Americans has been found to be worse than non-Hispanic whites. Psychosocial factors such as stress and acculturation may explain this disparity. As a result, we designed this survey to better understand the effects of stress and acculturation on the self-rated health of the Arab-American community. MATERIALS AND METHODS: Using a convenience sample, we surveyed 142 self-identified Arab Americans regarding demographics, stress, acculturation, and self-rated health. Stress was measured using instruments assessing perceived stress, everyday discrimination, and acculturative stress. Acculturation was measured using a modified Vancouver Index of Acculturation. To measure self-rated health, participants were asked to rate their current health on a scale of 1 (very poor) to 5 (very good). RESULTS: A logistic regression model adjusted for age, sex, body mass index, and education did not find that stress significantly affected the odds of having poor self-rated health in Arab Americans. Heritage identity was associated with lower odds of having poor self-rated health (odds ratio = 0.37, 95% confidence interval [CI] 0.15, 0.94, P < 0.05). No association was found between acculturation and poor self-rated health. CONCLUSION: Greater levels of stress were not significantly associated with greater odds of poor self-rated health in Arab Americans. We also found that greater heritage identity significantly decreased the odds of poor self-rated health in Arab Americans. The effects of everyday discrimination, perceived stress, and acculturation on self-rated health in Arab Americans remain unclear and need to be examined further.

Interventions to address food insecurity among Aboriginal and Torres Strait Islander people: a rapid review.

Food insecurity disproportionately impacts Aboriginal and Torres Strait Islander Australians. This review sought to investigate research and evaluations of programs and interventions implemented to address food insecurity among Aboriginal and Torres Strait Islander communities. A rapid review was conducted to collate the available research from 6 databases. The search was conducted in May 2020. Search constructs related to food insecurity, Aboriginal and Torres Strait Islander people, and Australia. Twenty-five publications were included in this review, 24 reported on an intervention, while 9 were evaluations of an intervention. Interventions included behaviour change projects, including projects that sought to change purchasing and cooking behaviours, school-based education programs, and gardening programs. In general, the studies included in this sample were small and lacked a systematic consideration of the factors that shape the experience of food insecurity among Aboriginal and Torres Strait Islander people specifically. Based on the findings of this review, authors suggest greater consideration to the systematic determinants of food insecurity among Aboriginal and Torres Strait Islander communities to have lasting and sustainable impact on food insecurity. This review has been registered with the international prospective register of systematic reviews (PROSPERO: CRD42020183709). Novelty: Food insecurity among Aboriginal and Torres Strait Islander people poses significant risk to health and wellbeing. Small-scale food security interventions may not provide ongoing and sustained impact. Any intervention to promote food security will need to involve Aboriginal and Torres Strait Islander people and be sustained once external parties have left.

Impact of COVID-19 on city-scale transportation and safety: An early experience from Detroit.

The COVID-19 pandemic brought unprecedented levels of disruption to the local and regional transportation networks throughout the United States, especially the Motor City---Detroit. That was mainly a result of swift restrictive measures such as statewide quarantine and lock-down orders to confine the spread of the virus and the rising number of COVID-19 confirmed cases and deaths. This work is driven by analyzing five types of real-world data sets from Detroit related to traffic volume, daily cases, weather, social distancing index, and crashes from January 2019 to June 2020. The primary goals of this work are: i) figuring out the impacts of COVID-19 on the transportation network usage (traffic volume) and safety (crashes) for the City of Detroit, ii) determining whether each type of data (e.g. traffic volume data) could be a useful factor in the confirmed-cases prediction, and iii) providing an early future prediction method for COVID-19 rates, which can be a vital contributor to life-saving advanced preventative and preparatory responses. In addressing these problems, the prediction results of six feature groups are presented and analyzed to quantify the prediction effectiveness of each type of data. Then, a deep learning model was developed using long short-term memory networks to predict the number of confirmed cases within the next week. The model demonstrated a promising prediction result with a coefficient of determination ( R 2 ) of up to approximately 0.91. Furthermore, six essential observations with supporting evidence are presented, which will be helpful for decision-makers to take specific measures that aid in preventing the spread of COVID-19 and protecting public health and safety. The proposed approaches could be applied, customized, adjusted, and replicated for analysis of the impact of COVID-19 on a transportation network and prediction of the anticipated COVID-19 cases using a similar data set obtained for other large cities in the USA or from around the world.

Recurrent Home Flooding in Detroit, MI 2012-2020: Results of a Household Survey.

Household flooding has wide ranging social, economic and public health impacts particularly for people in resource poor communities. The determinants and public health outcomes of recurrent home flooding in urban contexts, however, are not well understood. A household survey was used to assess neighborhood and household level determinants of recurrent home flooding in Detroit, MI. Survey activities were conducted from 2012 to 2020. Researchers collected information on past flooding, housing conditions and public health outcomes. Using the locations of homes, a "hot spot" analysis of flooding was performed to find areas of high and low risk. Survey data were linked to environmental and neighborhood data and associations were tested using regression methods. 4803 households participated in the survey. Flooding information was available for 3842 homes. Among these, 2085 (54.26%) reported experiencing pluvial flooding. Rental occupied units were more likely to report flooding than owner occupied homes (Odd ratio (OR) 1.72 [95% Confidence interval (CI) 1.49, 1.98]). Housing conditions such as poor roof quality and cracks in basement walls influenced home flooding risk. Homes located in census tracts with increased percentages of owner occupied units (vs. rentals) had a lower odds of flooding (OR 0.92 [95% (CI) 0.86, 0.98]). Household factors were found the be more predictive of flooding than neighborhood factors in both univariate and multivariate analyses. Flooding and housing conditions associated with home flooding were associated with asthma cases. Recurrent home flooding is far more prevalent than previously thought. Programs that support recovery and which focus on home improvement to prevent flooding, particularly by landlords, might benefit the public health. These results draw awareness and urgency to problems of urban flooding and public health in other areas of the country confronting the compounding challenges of aging infrastructure, disinvestment and climate change.

Living in the concrete jungle: carnivore spatial ecology in urban parks.

People and wildlife are living in an increasingly urban world, replete with unprecedented human densities, sprawling built environments, and altered landscapes. Such anthropogenic pressures can affect multiple processes within an ecological community, from spatial patterns to interspecific interactions. We tested two competing hypotheses, human shields vs. human competitors, to characterize how humans affect the carnivore community using multispecies occupancy models. From 2017 to 2020, we conducted the first camera survey of city parks in Detroit, Michigan, and collected spatial occurrence data of the local native carnivore community. Our 12,106-trap night survey captured detection data for coyotes (Canis latrans), red foxes (Vulpes vulpes), raccoons (Procyon lotor), and striped skunks (Mephitis mephitis). Overall occupancy varied across species (Ψcoyote = 0.40, Ψraccoon = 0.54, Ψred fox = 0.19, Ψstriped skunk = 0.09). Contrary to expectations, humans did not significantly affect individual occupancy for these urban carnivores. However, co-occurrence between coyote and skunk increased with human activity. The observed positive spatial association between an apex and subordinate pair supports the human shield hypothesis. Our findings demonstrate how urban carnivores can exploit spatial refugia and coexist with humans in the cityscape.

Lead Emissions and Population Vulnerability in the Detroit Metropolitan Area, 2006-2013: Impact of Pollution, Housing Age and Neighborhood Racial Isolation and Poverty on Blood Lead in Children.

This research investigates the relationships between airborne and depositional industrial lead emission concentrations modeled using Environmental Protection Agency's (EPA's) American Meteorological Society/Environmental Protection Agency Regulatory Model (AERMOD) and childhood blood lead levels (BLL) in the Detroit Metropolitan Area (DMA) 2006-2013. Linear and mediation interaction regression models estimated the effects of older housing and airborne and depositional lead emission concentrations on black and white childhood BLLs, controlling for neighborhood levels of racial isolation and poverty-important social structures in the DMA. The results showed a direct relationship between airborne and depositional lead emissions and higher childhood BLL, after controlling for median housing age. Lead emissions also exacerbated the effect of older housing on black and white children's BLLs (indirect relationship), after controlling for social structures. Findings from this research indicate that black and white children exposed to lead-based paint/pipes in older housing are further impacted by industrial lead pollution that may lead to permanent neurological damage.

Dynamic Panel Data Modeling and Surveillance of COVID-19 in Metropolitan Areas in the United States: Longitudinal Trend Analysis.

BACKGROUND: The COVID-19 pandemic has had profound and differential impacts on metropolitan areas across the United States and around the world. Within the United States, metropolitan areas that were hit earliest with the pandemic and reacted with scientifically based health policy were able to contain the virus by late spring. For other areas that kept businesses open, the first wave in the United States hit in mid-summer. As the weather turns colder, universities resume classes, and people tire of lockdowns, a second wave is ascending in both metropolitan and rural areas. It becomes more obvious that additional SARS-CoV-2 surveillance is needed at the local level to track recent shifts in the pandemic, rates of increase, and persistence. OBJECTIVE: The goal of this study is to provide advanced surveillance metrics for COVID-19 transmission that account for speed, acceleration, jerk and persistence, and weekly shifts, to better understand and manage risk in metropolitan areas. Existing surveillance measures coupled with our dynamic metrics of transmission will inform health policy to control the COVID-19 pandemic until, and after, an effective vaccine is developed. Here, we provide values for novel indicators to measure COVID-19 transmission at the metropolitan area level. METHODS: Using a longitudinal trend analysis study design, we extracted 260 days of COVID-19 data from public health registries. We used an empirical difference equation to measure the daily number of cases in the 25 largest US metropolitan areas as a function of the prior number of cases and weekly shift variables based on a dynamic panel data model that was estimated using the generalized method of moments approach by implementing the Arellano-Bond estimator in R. RESULTS: Minneapolis and Chicago have the greatest average number of daily new positive results per standardized 100,000 population (which we refer to as speed). Extreme behavior in Minneapolis showed an increase in speed from 17 to 30 (67%) in 1 week. The jerk and acceleration calculated for these areas also showed extreme behavior. The dynamic panel data model shows that Minneapolis, Chicago, and Detroit have the largest persistence effects, meaning that new cases pertaining to a specific week are statistically attributable to new cases from the prior week. CONCLUSIONS: Three of the metropolitan areas with historically early and harsh winters have the highest persistence effects out of the top 25 most populous metropolitan areas in the United States at the beginning of their cold weather season. With these persistence effects, and with indoor activities becoming more popular as the weather gets colder, stringent COVID-19 regulations will be more important than ever to flatten the second wave of the pandemic. As colder weather grips more of the nation, southern metropolitan areas may also see large spikes in the number of cases.