Impact of social distancing during COVID-19 pandemic on crime in Los Angeles and Indianapolis

Governments have implemented social distancing measures to address the ongoing COVID-19 pandemic. The measures include instructions that individuals maintain social distance when in public, school closures, limitations on gatherings and business operations, and instructions to remain at home. Social distancing may have an impact on the volume and distribution of crime. Crimes such as residential burglary may decrease as a byproduct of increased guardianship over personal space and property. Crimes such as domestic violence may increase because of extended periods of contact between potential offenders and victims. Understanding the impact of social distancing on crime is critical for ensuring the safety of police and government capacity to deal with the evolving crisis. Understanding how social distancing policies impact crime may also provide insights into whether people are complying with public health measures. Examination of the most recently available data from both Los Angeles, CA, and Indianapolis, IN, shows that social distancing has had a statistically significant impact on a few specific crime types. However, the overall effect is notably less than might be expected given the scale of the disruption to social and economic life

Human group formation in online guilds and offline gangs driven by common team dynamic

Quantifying human group dynamics represents a unique challenge. Unlike animals and other biological systems, humans form groups in both real (offline) and virtual (online) spaces -- from potentially dangerous street gangs populated mostly by disaffected male youths, through to the massive global guilds in online role-playing games for which membership currently exceeds tens of millions of people from all possible backgrounds, age-groups and genders. We have compiled and analyzed data for these two seemingly unrelated offline and online human activities, and have uncovered an unexpected quantitative link between them. Although their overall dynamics differ visibly, we find that a common team-based model can accurately reproduce the quantitative features of each simply by adjusting the average tolerance level and attribute range for each population. By contrast, we find no evidence to support a version of the model based on like-seeking-like (i.e. kinship or `homophily')

Association of Recorded Estimated Fetal Weight and Cesarean Delivery in Attempted Vaginal Delivery at Term:

To evaluate the association between documentation of estimated fetal weight, and its value, with cesarean delivery

Obstacles to Optimal Antenatal Corticosteroid Administration to Eligible Patients

Background Administration of antenatal corticosteroids (ANCS) is recommended for individuals expected to deliver between 24 and 34 weeks of gestation. Properly timed administration of ANCS achieves maximal benefit. However, more than 50% of individuals receive ANCS outside the recommended window. Objective To examine maternal and hospital factors associated with suboptimal receipt of ANCS among individuals who deliver between 24–34 weeks gestation. Study Design Secondary analysis of the Assessment of Perinatal Excellence (APEX), an observational study of births to 115,502 individuals at 25 hospitals in the US from March 2008–February 2011. Data from 3123 individuals who gave birth to a non-anomalous live-born infant between 240/7 to 340/7 weeks gestation, had prenatal records available at delivery, and data available on the timing of ANCS use were included in this analysis. Eligible individuals’ ANCS status was categorized as optimal (full course completed \u3e24 hours after ANCS but not \u3e7 days before birth) or suboptimal (none, too late, or too early). Maternal and hospital-level variables were compared using optimal as the referent group. Hierarchical multinomial logistic regression models, with site as a random effect, were used to identify maternal and hospital-level characteristics associated with optimal ANCS use. Results Overall, 83.6% (2612/3123) of eligible individuals received any treatment: 1216 (38.9%) optimal and 1907 (61.1%) suboptimal. Within suboptimal group495 (15.9%) received ANCS too late, 901 (28.9%) too early and 511 (16.4%) did not receive any ANCS. Optimal ANCS varied depending on indication for hospital admission (p\u3c0.001). Individuals who were admitted with intent to deliver were less likely to receive optimal ANCS while individuals admitted for hypertensive diseases of pregnancy were most likely to receive optimal ANCS (10% vs 35%). The median gestational age of individuals who received optimal ANCS was 31.0 weeks. Adjusting for hospital factors, hospitals with electronic medical records and who receive transfers had fewer eligible individuals who did not receive ANCS. ANCS administration and timing varied substantially by hospital; optimal frequencies ranged from 9.1 to 51.3%, and none frequencies from 6.1% to 61.8%. When evaluating variation by hospital site, models with maternal and hospital factors, did not explain any of the variation in ANCS use. Conclusions Optimal ANCS use varied by maternal and hospital factors and by hospital site, indicating opportunities for improvement

The Effect of Urban Street Gang Densities on Small Area Homicide Incidence in a Large Metropolitan County, 1994–2002

The presence of street gangs has been hypothesized as influencing overall levels of violence in urban communities through a process of gun–drug diffusion and cross-type homicide. This effect is said to act independently of other known correlates of violence, i.e., neighborhood poverty. To test this hypothesis, we independently assessed the impact of population exposure to local street gang densities on 8-year homicide rates in small areas of Los Angeles County, California. Homicide data from the Los Angeles County Coroners Office were analyzed with original field survey data on street gang locations, while controlling for the established covariates of community homicide rates. Bivariate and multivariate regression analyses explicated strong relationships between homicide rates, gang density, race/ethnicity, and socioeconomic structure. Street gang densities alone had cumulative effects on small area homicide rates. Local gang densities, along with high school dropout rates, high unemployment rates, racial and ethnic concentration, and higher population densities, together explained 90% of the variation in local 8-year homicide rates. Several other commonly considered covariates were insignificant in the model. Urban environments with higher densities of street gangs exhibited higher overall homicide rates, independent of other community covariates of homicide. The unique nature of street gang killings and their greater potential to influence future local rates of violence suggests that more direct public health interventions are needed alongside traditional criminal justice mechanisms to combat urban violence and homicides

Prediction of Spontaneous Preterm Birth Among Nulliparous Women With a Short Cervix

To evaluate whether demographic and sonographic factors associated with spontaneous preterm birth (sPTB) among nulliparous women with a cervical length (CL) < 30 mm could be combined into an accurate prediction model for sPTB

Short-Term Neonatal Outcomes of Pregnancies Complicated by Maternal Obesity

BACKGROUND: Maternal obesity complicates a high number of pregnancies. The degree to which neonatal outcomes are adversely affected is unclear. OBJECTIVE: This study aimed to evaluate neonatal outcomes of pregnancies complicated by maternal obesity. STUDY DESIGN: This study was a secondary analysis of a cohort of deliveries occurring on randomly selected days at 25 hospitals from 2008 to 2011. Data were collected by certified abstractors. This analysis included singleton deliveries between 24 and 42 weeks of gestation. Body mass index was calculated on the basis of maternal height and most recent weight before delivery. Normal and overweight (reference group; body mass index, 18.5-29.9 kg/m RESULTS: Overall, 52,162 patients and their neonates were included after propensity score matching. Of these, 21,704 (41.6%) were obese, 3787 (7.3%) were morbidly obese, and 590 (1.1%) were super morbidly obese. A total of 2103 neonates (4.0%) had the composite outcome. Neonates born to pregnant people with morbid obesity had a 33% increased risk of composite neonatal morbidity compared with those in the reference group (adjusted odds ratio, 1.33; 95% confidence interval, 1.17-1.52), but no significant association was observed for persons with obesity (adjusted odds ratio, 1.05; 95% confidence interval, 0.97-1.14) or with super morbid obesity (adjusted odds ratio, 1.18; 95% confidence interval, 0.86-1.64). CONCLUSION: Compared with the reference group, gravidas with morbid obesity were at higher risk of composite neonatal morbidity

Activity Restriction Among Women With a Short Cervix

To estimate determinants of and outcomes associated with activity restriction among women with a short cervix