scholarly journals Contribution of historical precipitation change to US flood damages

2021 ◽  
Vol 118 (4) ◽  
pp. e2017524118
Author(s):  
Frances V. Davenport ◽  
Marshall Burke ◽  
Noah S. Diffenbaugh
Keyword(s):  
United States ◽  
Global Warming ◽  
Climate Models ◽  
State Level ◽  
The United States ◽  
Precipitation Change ◽  
Cumulative Impact ◽  
Flood Damages ◽  
Precipitation Changes ◽  
The Impact

Precipitation extremes have increased across many regions of the United States, with further increases anticipated in response to additional global warming. Quantifying the impact of these precipitation changes on flood damages is necessary to estimate the costs of climate change. However, there is little empirical evidence linking changes in precipitation to the historically observed increase in flood losses. We use >6,600 reports of state-level flood damage to quantify the historical relationship between precipitation and flood damages in the United States. Our results show a significant, positive effect of both monthly and 5-d state-level precipitation on state-level flood damages. In addition, we find that historical precipitation changes have contributed approximately one-third of cumulative flood damages over 1988 to 2017 (primary estimate 36%; 95% CI 20 to 46%), with the cumulative impact of precipitation change totaling $73 billion (95% CI 39 to $91 billion). Further, climate models show that anthropogenic climate forcing has increased the probability of exceeding precipitation thresholds at the extremely wet quantiles that are responsible for most flood damages. Climate models project continued intensification of wet conditions over the next three decades, although a trajectory consistent with UN Paris Agreement goals significantly curbs that intensification. Taken together, our results quantify the contribution of precipitation trends to recent increases in flood damages, advance estimates of the costs associated with historical greenhouse gas emissions, and provide further evidence that lower levels of future warming are very likely to reduce financial losses relative to the current global warming trajectory.

State-Level Cyberbullying Policy

2016 ◽  
pp. 62-82 ◽  
Author(s):  
Ramona Sue McNeal ◽  
Susan M. Kunkle ◽  
Lisa Dotterweich Bryan
Keyword(s):  
United States ◽  
Information Technology ◽  
State Level ◽  
The United States ◽  
Government Policies ◽  
Policy Adoption ◽  
Legislative Action ◽  
Bullying Laws ◽  
The Impact ◽  
Cyberbullying Policy

Cyberbullying is the use of information technology to deliberately hurt, taunt, threaten or intimidate someone. Currently, there are no federal statutes in the United States which directly address this problem. The response of the states has varied from attempting to use existing anti-bullying laws to limit cyberbullying to passing new laws that specifically target cyberbullying behavior. An important question is, “why are some states taking a lead in combating this cybercrime through new laws while others are relying on existing laws?” The literature on policy adoption suggests politics, resources and public need are important factors in predicting why certain states are more likely to enact government policies. This chapter analyzes the impact of these factors and others on policy adoption by exploring the level of legislative action to update existing cyberbullying laws for 2009 through 2014.

scholarly journals COVID-19 scenarios for the United States

2020 ◽  
Author(s):  
◽  
Simon I Hay
Keyword(s):  
United States ◽  
Model Performance ◽  
State Level ◽  
The United States ◽  
Economic Damage ◽  
Reference Scenario ◽  
Level Model ◽  
Per Capita ◽  
Novel Coronavirus ◽  
The Impact

The United States (US) has not been spared in the ongoing pandemic of novel coronavirus disease. COVID-19, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), continues to cause death and disease in all 50 states, as well as significant economic damage wrought by the non-pharmaceutical interventions (NPI) adopted in attempts to control transmission. We use a deterministic, Susceptible, Exposed, Infectious, Recovered (SEIR) compartmental framework to model possible trajectories of SARS-CoV-2 infections and the impact of NPI at the state level. Model performance was tested against reported deaths from 01 February to 04 July 2020. Using this SEIR model and projections of critical driving covariates (pneumonia seasonality, mobility, testing rates, and mask use per capita), we assessed some possible futures of the COVID-19 pandemic from 05 July through 31 December 2020. We explored future scenarios that included feasible assumptions about NPIs including social distancing mandates (SDMs) and levels of mask use. The range of infection, death, and hospital demand outcomes revealed by these scenarios show that action taken during the summer of 2020 will have profound public health impacts through to the year end. Encouragingly, we find that an emphasis on universal mask use may be sufficient to ameliorate the worst effects of epidemic resurgences in many states. Masks may save as many as 102,795 (55,898-183,374) lives, when compared to a plausible reference scenario in December. In addition, widespread mask use may markedly reduce the need for more socially and economically deleterious SDMs.

scholarly journals A State-Level Socioeconomic Data Collection of the United States for COVID-19 Research

Data ◽  
2020 ◽  
Vol 5 (4) ◽  
pp. 118
Author(s):  
Dexuan Sha ◽  
Anusha Srirenganathan Malarvizhi ◽  
Qian Liu ◽  
Yifei Tian ◽  
You Zhou ◽  
...  
Keyword(s):  
United States ◽  
Data Collection ◽  
Socioeconomic Factors ◽  
State Level ◽  
The United States ◽  
Dynamic Factor ◽  
Time Frequency ◽  
Socioeconomic Determinant ◽  
Socioeconomic Data ◽  
The Impact

The outbreak of COVID-19 from late 2019 not only threatens the health and lives of humankind but impacts public policies, economic activities, and human behavior patterns significantly. To understand the impact and better prepare for future outbreaks, socioeconomic factors play significant roles in (1) determinant analysis with health care, environmental exposure and health behavior; (2) human mobility analyses driven by policies; (3) economic pressure and recovery analyses for decision making; and (4) short to long term social impact analysis for equity, justice and diversity. To support these analyses for rapid impact responses, state level socioeconomic factors for the United States of America (USA) are collected and integrated into topic-based indicators, including (1) the daily quantitative policy stringency index; (2) dynamic economic indices with multiple time frequency of GDP, international trade, personal income, employment, the housing market, and others; (3) the socioeconomic determinant baseline of the demographic, housing financial situation and medical resources. This paper introduces the measurements and metadata of relevant socioeconomic data collection, along with the sharing platform, data warehouse framework and quality control strategies. Different from existing COVID-19 related data products, this collection recognized the geospatial and dynamic factor as essential dimensions of epidemiologic research and scaled down the spatial resolution of socioeconomic data collection from country level to state level of the USA with a standard data format and high quality.

State-Level Cyberbullying Policy

2016 ◽  
pp. 59-79
Author(s):  
Ramona Sue McNeal ◽  
Susan M. Kunkle ◽  
Lisa Dotterweich Bryan
Keyword(s):  
United States ◽  
Information Technology ◽  
State Level ◽  
The United States ◽  
Government Policies ◽  
Policy Adoption ◽  
Legislative Action ◽  
Bullying Laws ◽  
The Impact ◽  
Cyberbullying Policy

Cyberbullying is the use of information technology to deliberately hurt, taunt, threaten or intimidate someone. Currently, there are no federal statutes in the United States which directly address this problem. The response of the states has varied from attempting to use existing anti-bullying laws to limit cyberbullying to passing new laws that specifically target cyberbullying behavior. An important question is, “why are some states taking a lead in combating this cybercrime through new laws while others are relying on existing laws?” The literature on policy adoption suggests politics, resources and public need are important factors in predicting why certain states are more likely to enact government policies. This chapter analyzes the impact of these factors and others on policy adoption by exploring the level of legislative action to update existing cyberbullying laws for 2009 through 2014.

Introduction to Complexities of Migration, Movement, and Change

2012 ◽  
Vol 34 (4) ◽  
pp. 2-3
Author(s):  
Anita Puckett
Keyword(s):  
United States ◽  
Global Warming ◽  
Homo Sapiens ◽  
The United States ◽  
Anthropological Research ◽  
The One ◽  
The Impact

The title for this issue emerged from common themes expressed in the set of individually volunteered articles that comprise this issue. All of the articles coalesce around something to do with instability or impermanence, with the kinds of replacements and displacements that typify contemporary cultural fluidity and fragmentation in response to transglobal neoliberal socioeconomics. All but one offer reflective commentary on applied anthropological research in the United States; the one exception offers a meta-commentary on anthropological responsibility toward the impact of global warming on both Homo sapiens and the biosphere.

scholarly journals The Impact of Uncertainty on State-Level Housing Markets of the United States: The Role of Social Cohesion

2021 ◽  
Vol 13 (6) ◽  
pp. 3065
Author(s):  
Linyan Dai ◽  
Xin Sheng
Keyword(s):  
United States ◽  
Social Cohesion ◽  
Housing Markets ◽  
State Level ◽  
The United States ◽  
Negative Effects ◽  
Housing Returns ◽  
The Impact

While considering the role of social cohesion, we analyse the impact of uncertainty on housing markets across the 50 states of the United States, plus the District of Columbia, using the local projection method for panel data. We find that both short-term and long-term measurements of macroeconomic and financial uncertainties reduce real housing returns, with the strongest effect originated from the macro-economic uncertainty over the long term. Moreover, the degree of social cohesion does not change the nature of the impact of uncertainty on real housing returns dramatically, but the size of the negative effects is relatively large for states with low social cohesion.

scholarly journals Impact and Effectiveness of State-Level Tuberculosis Interventions in California, Florida, New York, and Texas: A Model-Based Analysis

2019 ◽  
Vol 188 (9) ◽  
pp. 1733-1741 ◽  
Author(s):  
Sourya Shrestha ◽  
Sarah Cherng ◽  
Andrew N Hill ◽  
Sue Reynolds ◽  
Jennifer Flood ◽  
...  
Keyword(s):  
United States ◽  
New York ◽  
Adult Population ◽  
State Level ◽  
The United States ◽  
Homeless Persons ◽  
Preventive Therapy ◽  
Hiv Positive ◽  
Populations At Risk ◽  
The Impact

Abstract The incidence of tuberculosis (TB) in the United States has stabilized, and additional interventions are needed to make progress toward TB elimination. However, the impact of such interventions depends on local demography and the heterogeneity of populations at risk. Using state-level individual-based TB transmission models calibrated to California, Florida, New York, and Texas, we modeled 2 TB interventions: 1) increased targeted testing and treatment (TTT) of high-risk populations, including people who are non–US-born, diabetic, human immunodeficiency virus (HIV)-positive, homeless, or incarcerated; and 2) enhanced contact investigation (ECI) for contacts of TB patients, including higher completion of preventive therapy. For each intervention, we projected reductions in active TB incidence over 10 years (2016–2026) and numbers needed to screen and treat in order to avert 1 case. We estimated that TTT delivered to half of the non–US-born adult population could lower TB incidence by 19.8%–26.7% over a 10-year period. TTT delivered to smaller populations with higher TB risk (e.g., HIV-positive persons, homeless persons) and ECI were generally more efficient but had less overall impact on incidence. TTT targeted to smaller, highest-risk populations and ECI can be highly efficient; however, major reductions in incidence will only be achieved by also targeting larger, moderate-risk populations. Ultimately, to eliminate TB in the United States, a combination of these approaches will be necessary.

The Association of Federal and State-level Firearm Restriction Policies With Intimate Partner Homicide: A Re-analysis by Race of the Victim

2021 ◽  
pp. 088626052110219
Author(s):  
Mikaela A. Wallin ◽  
Charvonne N. Holliday ◽  
April M. Zeoli
Keyword(s):  
United States ◽  
Significant Risk ◽  
State Level ◽  
The United States ◽  
Intimate Partner ◽  
Future Research ◽  
Intimate Partner Homicide ◽  
Cross Sectional ◽  
Black Populations ◽  
The Impact

Firearms present a significant risk of intimate partner homicide (IPH) among women in the United States, and Black women continue to be overrepresented among IPH fatalities. State-level firearm restrictions for individuals under domestic violence restraining orders (DVRO) and firearm restrictions for those convicted of violent misdemeanor crimes are associated with reductions in IPH. To receive these protections, individuals must engage with the civil or criminal justice system. While access to, and engagement with, these systems may differ between Black and White populations, research has yet to examine the impact of these firearm restriction laws on IPH by racial group. We conducted pooled, cross-sectional, time-series analyses to examine the association of selected firearm restriction laws on IPH by the race of the victims, from 1981 to 2013 for 45 states in the United States. State-level DVRO firearm restrictions were associated with reductions in IPH in the White population only. The inclusion of relinquishment provisions in state DVRO firearm laws is associated with an 11% reduction in IPH and a 16% reduction in firearm IPH for White, but not Black, victims. Similarly, laws prohibiting individuals convicted of violent misdemeanors from possessing firearms are associated with a 23% reduction in IPH and a 28% reduction in firearm IPH for White victims only. The federal DVRO firearm restriction law is associated with a 27% reduction in state-level IPH and a 28% reduction in firearm IPH for Black, but not White, victims. Firearm restriction laws may have a limited impact on IPH in Black populations. Future research should examine the factors behind the differential estimated impact of these laws by the race of the victims.

scholarly journals State-level impact of social distancing and testing on COVID-19 in the United States

2020 ◽  
Author(s):  
Weihsueh A. Chiu ◽  
Rebecca Fischer ◽  
Martial L. Ndeffo-Mbah
Keyword(s):  
United States ◽  
Large Scale ◽  
Disease Incidence ◽  
State Level ◽  
The United States ◽  
Contact Tracing ◽  
Reproductive Number ◽  
Social Distancing ◽  
Epidemic Curve ◽  
The Impact

Abstract Social distancing measures have been implemented in the United States (US) since March 2020, to mitigate the spread of SARS-CoV-2, the causative agent of COVID-19. However, by mid-May most states began relaxing these measures to support the resumption of economic activity, even as disease incidence continued to increase in many states. To evaluate the impact of relaxing social distancing restrictions on COVID-19 dynamics and control in the US, we developed a transmission dynamic model and calibrated it to US state-level COVID-19 cases and deaths from March to June 20th, 2020, using Bayesian methods. We used this model to evaluate the impact of reopening, social distancing, testing, contact tracing, and case isolation on the COVID-19 epidemic in each state. We found that using stay-at-home orders, most states were able to curtail their COVID-19 epidemic curve by reducing and achieving an effective reproductive number below 1. But by June 20th, 2020, only 19 states and the District of Columbia were on track to curtail their epidemic curve with a 75% confidence, at current levels of reopening. Of the remaining 31 states, 24 may have to double their current testing and/or contact tracing rate to curtail their epidemic curve, and seven need to further restrict social contact by 25% in addition to doubling their testing and contact tracing rates. When social distancing restrictions are being eased, greater state-level testing and contact tracing capacity remains paramount for mitigating the risk of large-scale increases in cases and deaths.

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