15 research outputs found
An Analysis of LEGO as an Investment Asset
No full textIn a world with increased information for investors, investors constantly seek new opportunities to maximize their return on investment. LEGO presents itself as a new, nontraditional investment asset type for investors. This paper collects information on approximately 3,300 LEGO sets released from 2000-2023 from brickset.com. From this data, the author performed a regression model and return on investment calculation to determine what aspects contribute to a LEGO set’s ROI and if LEGO can outperform the stock market. This paper finds that while, on average, a LEGO set will not outperform the stock market, an investor with a keen eye and understanding of LEGO may find opportunities to outperform the stock market. For this reason and because LEGO is exposed to risk factors different from traditional investment assets, it is a viable and noteworthy investment option for investors willing to invest in nontraditional investment assets.No embargoAcademic Major: Economic
Can Political Representation Economically Empower Oppressed Classes? An Analysis of Reconstruction Policy
No full textIn politics, representation in government is often thought of as the most salient means by which an oppressed class of people can improve their standing and raise themselves out of subjugation. The Reconstruction South featured a great influx of African-Americans into political office during the 1860s and 1870s, which allows us to question: did representation affect the material lives of black southerners after the Civil War? By wedding historical record and econometric analysis, I have found that there was largely little effect of black representation in government on black landownership and accumulation of wealth while there was a short-lived effect on income. During this period, many African-American officeholders sought to effect black landownership by increasing taxes on unused acreage within large plantations. Politicians decided against pursuing forced seizure of land to redistribute, and instead chose to incent landowners to sell their unused land. This economic incentive was meant to force a redistribution of land to poorer citizens. However, my analysis shows that this was not successful. Regression analysis shows a relationship between per capita county taxes in a county and a decrease in the number of large farms there. Yet, there is no demonstrable relationship between black political representation and black ownership of small, yeoman farms. Historical accounts indicate wealthy landowners as well as speculators from both the North and South purchased this land for their own means. As this policy backfired, tenant farming and sharecropping became entrenched southern institutions preventing black accumulation of wealth and increasing profits for white landowners. In counties that had black political leadership, there was an effect of increasing rates of tenant farming over sharecropping through taxes. Though this represents an increase in incomes at the time, this income could not translate to sustained wealth. As modern black poverty largely stems from denial of wealth accumulation over centuries, these results help paint a broader picture of representation politics and their failure to tame systemic and market forces at play in American society.No embargoAcademic Major: Economic
Redlining in Rochester
No full textCore 4990 course assignment Research urban Renewal in the Rochester are
Re-emergence of arbovirus diseases in the State of Rio de Janeiro, Brazil: The role of simultaneous viral circulation between 2014 and 2019
No full textThe burden of arbovirus diseases in Brazil has increased within the past decade due to the emergence of chikungunya and Zika and endemic circulation of all four dengue serotypes. Changes in temperature and rainfall patterns may alter conditions to favor vector-host transmission and allow for cyclic re-emergence of disease. We sought to determine the impact of climate conditions on arbovirus co-circulation in Rio de Janeiro, Brazil. We assessed the spatial and temporal distributions of chikungunya, dengue, and Zika cases from Brazil's national notifiable disease information system (SINAN) and created autoregressive integrated moving average models (ARIMA) to predict arbovirus incidence accounting for the lagged effect of temperature and rainfall. Each year, we estimate that the combined arboviruses were associated with an average of 8429 to 10,047 lost Disability-Adjusted Life Years (DALYs). After controlling for temperature and precipitation, our model predicted a three cycle pattern where large arbovirus outbreaks appear to be primed by a smaller scale surge and followed by a lull of cases. These dynamic arbovirus patterns in Rio de Janeiro support a mechanism of susceptibility enhancement until the theoretical threshold of population immunity allows for temporary cross protection among certain arboviruses. This suspected synergy presents a major public health challenge due to overlapping locations and seasonality of arbovirus diseases, which may perpetuate disease burden and overwhelm the health system
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Repercussions of the COVID-19 pandemic on preventive health services in Brazil
No full textINTRODUCTION: The increasing burden of non-communicable diseases and limited public financing are major challenges facing health care systems in Latin America. Although COVID-19 severely impacted the Brazilian health care system, it is crucial to further characterize the degree of disruption caused to public health efforts, in order to address and manage long term effects of this pandemic. We therefore quantified the demand for preventive and treatment services from the Brazilian Unified Health System (Sistema Único de Saúde/SUS) in 2020 to evaluate potential repercussions of COVID-19 in this setting.
METHODS: Using the SUS database, we compared preventative and treatment services rendered in 2020 to the same services rendered from 2017 to 19. We also evaluated the frequency of respiratory infection (RI) diagnoses during the pandemic, relative to the preceding years.
RESULTS: Compared to 2017-19, in 2020 non-urgent medical appointments decreased 1.4-fold (p = 0.0017), dental consultations 2.8-fold (p = 0.05), and immunization coverage 1.5 fold (p = 0.0005). The number of RI visits to SUS ambulatory care units in 2020 was 4.2 times higher than in preceding years (p = 0.0014), with a peak of 280,898 diagnoses in July 2020.
CONCLUSION: The COVID-19 pandemic appears to have led to a dramatic decline in preventative and treatment services provided by SUS to the Brazilian population. Our findings may aid decision-makers in formulating policies to increase the availability of outpatient services in the aftermath of the pandemic. Counter measures will be critical to avoid a resurgence in vaccine-preventable diseases and complications stemming from non-communicable, chronic health conditions
Data from: Spatial and temporal patterns of frugivorous Hornbill movements in Central Africa and their implications for rain forest conservation
No full textTropical forest conservation and restoration require an understanding of the movements and habitat preferences of important seed dispersers. With forests now being altered at an unprecedented rate, avian frugivores are becoming increasingly vital for forest regeneration. Seed movement, however, is highly dependent on the behavioral characteristics of their dispersers. Here, we examined the movements, habitat preferences, and range sizes of two African frugivores: the Black-casqued (Ceratogymna atrata) and the White-thighed (Bycanistes albotibialis) Hornbill, in the lowland rain forests of southern Cameroon. Using satellite transmitters, we tracked eight hornbills for 3 yr to characterize their movements and relate them to environmental landscape features. Hornbill movements differed significantly, with B. albotibialis ranging over larger areas (mean = 20,274 ha) than C. atrata (mean = 5604 ha), and females of both species covering over 15 times the area of males. Evidence suggests that movements are irruptive during particular periods, perhaps driven by low resource availability. In addition, hornbills often returned to the same localities within a year, although movements were not characterized as migratory. Both species displayed significant differences in habitat preference, with B. albotibialis utilizing disturbed habitat more frequently than C. atrata (t = −22.04, P = 2.2 × 10−16). Major roads were found to act as barriers for C. atrata, but not for B. albotibialis. The ability of both hornbill species to move large distances suggests hornbills will play a vital role in the maintenance and regeneration of rain forests in Central Africa as forest fragmentation increases and terrestrial vertebrates decline in numbers
Genomic vulnerability and socio‐economic threats under climate change in an African rainforest bird
No full textPreserving biodiversity under rapidly changing climate conditions is challenging. One approach for estimating impacts and their magnitude is to model current relationships between genomic and environmental data and then to forecast those relationships under future climate scenarios. In this way, understanding future genomic and environmental relationships can help guide management decisions, such as where to establish new protected areas where populations might be buffered from high temperatures or major changes in rainfall. However, climate warming is only one of many anthropogenic threats one must consider in rapidly developing parts of the world. In Central Africa, deforestation, mining, and infrastructure development are accelerating population declines of rainforest species. Here we investigate multiple anthropogenic threats in a Central African rainforest songbird, the little greenbul (Andropadus virens). We examine current climate and genomic variation in order to explore the association between genome and environment under future climate conditions. Specifically, we estimate Genomic Vulnerability, defined as the mismatch between current and predicted future genomic variation based on genotype-environment relationships modeled across contemporary populations. We do so while considering other anthropogenic impacts. We find that coastal and central Cameroon populations will require the greatest shifts in adaptive genomic variation, because both climate and land use in these areas are predicted to change dramatically. In contrast, in the more northern forest-savanna ecotones, genomic shifts required to keep pace with climate will be more moderate, and other anthropogenic impacts are expected to be comparatively low in magnitude. While an analysis of diverse taxa will be necessary for making comprehensive conservation decisions, the species-specific results presented illustrate how evolutionary genomics and other anthropogenic threats may be mapped and used to inform mitigation efforts. To this end, we present an integrated conceptual model demonstrating how the approach for a single species can be expanded to many taxonomically diverse species
Clinical and epidemiological characteristics of SARS-CoV-2 Infection in Los Angeles County youth during the first year of the pandemic
No full textOBJECTIVES: The aim of this study was to characterize SARS-CoV-2 infection patterns in Los Angeles (LA) County youth followed at our institution during the first pandemic year. DESIGN: A prospective cohort of patients aged < 25 years who tested positive for SARS-CoV-2 using reverse-transcriptase polymerase chain reaction (RT-PCR) assays between March 13, 2020, and March 31, 2021, was evaluated at a large LA County health network. Demographics, age distribution, and disease severity were analyzed. RESULTS: There were 28,088 youth aged < 25 years tested for SARS-CoV-2 using RT-PCR, with 1849 positive results identified (7%). Among the positive results, 475 of 11,922 (4%) were identified at the pandemic onset (March-September 2020) (Cohort 1) and 1374 of 16,166 (9%) between October 2020 and March 2021 (Cohort 2), P < 0.001. When disease severity was compared across cohorts, Cohort 2 had a greater proportion of asymptomatic and mild/moderate disease categories than Cohort 1 (98% vs 80%, respectively); conversely, Cohort 1 had a near–10-fold higher proportion of severe disease than Cohort 2 (17% vs 1.8%). Cohort 2 comprised younger patients with a mean age of 13.7 years vs 17.3 years in Cohort 1. Older age was associated with a higher percentage of infection, with 63% of all confirmed cases found in participants aged 19 to 25 years in Cohort 1, compared with 38% of confirmed cases in Cohort 2. Age increase was also associated with greater disease severity by linear regression modeling (P< 0.001). CONCLUSION: Coronavirus disease 2019 (COVID-19) disease severity in youth decreased over time in LA County during the first pandemic year, likely a reflection of changing demographics, with younger children infected. A higher infection rate in youth did not lead to higher disease severity over time
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Exploring the influence of daily climate variables on malaria transmission and abundance of anopheles arabiensis over Nkomazi Local Municipality, Mpumalanga Province, South Africa
No full textThe recent resurgence of malaria incidence across epidemic regions in South Africa has been linked to climatic and environmental factors. An in-depth investigation of the impact of climate variability and mosquito abundance on malaria parasite incidence may therefore offer useful insight towards the control of this life-threatening disease. In this study, we investigate the influence of climatic factors on malaria transmission over Nkomazi Municipality. The variability and interconnectedness between the variables were analyzed using wavelet coherence analysis. Time-series analyses revealed that malaria cases significantly declined after the outbreak in early 2000, but with a slight increase from 2015. Furthermore, the wavelet coherence and time-lagged correlation analyses identified rainfall and abundance of Anopheles arabiensis as the major variables responsible for malaria transmission over the study region. The analysis further highlights a high malaria intensity with the variables from 1998-2002, 2004-2006, and 2010-2013 and a noticeable periodicity value of 256-512 days. Also, malaria transmission shows a time lag between one month and three months with respect to mosquito abundance and the different climatic variables. The findings from this study offer a better understanding of the importance of climatic factors on the transmission of malaria. The study further highlights the significant roles of An. arabiensis on malaria occurrence over Nkomazi. Implementing the mosquito model to predict mosquito abundance could provide more insight into malaria elimination or control in Africa.The Fogarty International
Center of the National Institutes of Health (NIH) under
Award Number D43TW009343 and the University of
California Global Health Institute (UCGHI).https://www.hindawi.com/journals/jepham2019Geography, Geoinformatics and MeteorologySchool of Health Systems and Public Health (SHSPH
Can prenatal ultrasound predict adverse neonatal outcomes in SARS-CoV-2–affected pregnancies?
No full textBACKGROUND: On the basis of available data, at least 1 ultrasound assessment of pregnancies recovering from SARS-CoV-2 infection is recommended. However, reports on prenatal imaging findings and potential associations with neonatal outcomes following SARS-CoV-2 infection in pregnancy have been inconclusive. OBJECTIVE: This study aimed to describe the sonographic characteristics of pregnancies after confirmed SARS-CoV-2 infection and assess the association of prenatal ultrasound findings with adverse neonatal outcomes. STUDY DESIGN: This was an observational prospective cohort study of pregnancies diagnosed with SARS-CoV-2 by reverse transcription polymerase chain reaction between March 2020 and May 2021. Prenatal ultrasound evaluation was performed at least once after diagnosis of infection, with the following parameters measured: standard fetal biometric measurements, umbilical and middle cerebral artery Dopplers, placental thickness, amniotic fluid volume, and anatomic survey for infection-associated findings. The primary outcome was the composite adverse neonatal outcome, defined as ≥1 of the following: preterm birth, neonatal intensive care unit admission, small for gestational age, respiratory distress, intrauterine fetal demise, neonatal demise, or other neonatal complications. Secondary outcomes were sonographic findings stratified by trimester of infection and severity of SARS-CoV-2 infection. Prenatal ultrasound findings were compared with neonatal outcomes, severity of infection, and trimester of infection. RESULTS: A total of 103 SARS-CoV-2-affected mother-infant pairs with prenatal ultrasound evaluation were identified; 3 cases were excluded because of known major fetal anomalies. Of the 100 included cases, neonatal outcomes were available in 92 pregnancies (97 infants); of these, 28 (29%) had the composite adverse neonatal outcome, and 23 (23%) had at least 1 abnormal prenatal ultrasound finding. The most common abnormalities seen on ultrasound were placentomegaly (11/23; 47.8%) and fetal growth restriction (8/23; 34.8%). The latter was associated with a higher rate of the composite adverse neonatal outcome (25% vs 1.5%; adjusted odds ratio, 22.67; 95% confidence interval, 2.63-194.91; P<.001), even when small for gestational age was removed from this composite outcome. The Cochran Mantel-Haenszel test controlling for possible fetal growth restriction confounders continued to show this association (relative risk, 3.7; 95% confidence interval, 2.6-5.9; P<.001). Median estimated fetal weight and birthweight were lower in patients with the composite adverse neonatal outcome (P<.001). Infection in the third trimester was associated with lower median percentile of estimated fetal weight (P=.019). An association between placentomegaly and third-trimester SARS-CoV-2 infection was noted (P=.045). CONCLUSION: In our study of SARS-CoV-2-affected maternal-infant pairs, rates of fetal growth restriction were comparable to those found in the general population. However, composite adverse neonatal outcome rates were high. Pregnancies with fetal growth restriction after SARS-CoV-2 infection were associated with an increased risk for the adverse neonatal outcome and may require close surveillance
