scholarly journals Evolving Trends and Research Hotspots in Disaster Epidemiology From 1985 to 2020: A Bibliometric Analysis

2021 ◽  
Vol 9 ◽  
Author(s):  
Tao Liu ◽  
Xin Liu ◽  
Yue Li ◽  
Shuyu Liu ◽  
Chunxia Cao
Keyword(s):  
Health Effects ◽  
Disaster Management ◽  
Relevant Literature ◽  
Disaster Medicine ◽  
The Past ◽  
The Usa ◽  
Disaster Epidemiology ◽  
Short And Long Term ◽  
Research Hotspots

Background: Disaster epidemiology has not attracted enough attention in the past few decades and still faces significant challenges. This study aimed to systematically analyze the evolving trends and research hotspots in disaster epidemiology and provide insights into disaster epidemiology.Methods: We searched the Scopus and Web of Science Core Collection (WoSCC) databases between 1985 and 2020 to identify relevant literature on disaster epidemiology. The retrieval strategies were TITLE-ABS-KEY (disaster epidemiology) and TS = (disaster AND epidemiology). Bibliometrix, VOSviewer 1.6.6 and SigmaPlot 12.5 were used to analyze the key bibliometric indicators, including trends and annual publications, the contributions of countries, institutions, journals and authors, and research hotspots.Results: A total of 1,975 publications were included. There was an increasing trend in publications over the past 35 years. The USA was the most productive country. The most frequent institutions and journals were Fukushima Medical University and Prehospital and Disaster Medicine. Galea S made significant contributions to this field. “Epidemiology” was the highest-frequency keyword. COVID-19 was highly cited after 2019. Three research hotspots were identified: (i) the short- and long-term adverse health effects of disasters on the population; (ii) COVID-19 pandemic and emergency preparedness; and (iii) disaster management.Conclusions: In recent decades, the USA was a global leader in disaster epidemiology. Disaster management, the short- and long-term health effects of disasters, and the COVID-19 pandemic reflected the research focuses. Our results suggest that these directions will remain research hotspots in the future. International collaboration is also expected to widen and deepen in the field of disaster epidemiology.

Courting the Youth Vote in 2008: The Obama Effect

2009 ◽  
Vol 5 ◽  
Author(s):  
Lindsey C Bohl
Keyword(s):  
Presidential Elections ◽  
Voter Registration ◽  
The Internet ◽  
The Past ◽  
Several Variables ◽  
High Turnout ◽  
Short And Long Term ◽  
Use Of The Internet ◽  
Youth Vote

This paper examines a few of the numerous factors that may have led to increased youth turnout in 2008 Election. First, theories of voter behavior and turnout are related to courting the youth vote. Several variables that are perceived to affect youth turnout such as party polarization, perceived candidate difference, voter registration, effective campaigning and mobilization, and use of the Internet, are examined. Over the past 40 years, presidential elections have failed to engage the majority of young citizens (ages 18-29) to the point that they became inclined to participate. This trend began to reverse starting in 2000 Election and the youth turnout reached its peak in 2008. While both short and long-term factors played a significant role in recent elections, high turnout among youth voters in 2008 can be largely attributed to the Obama candidacy and campaign, which mobilized young citizens in unprecedented ways.

Increase associated risk of gynaecological cancer due to long-term exposure to high concentration of atmospheric SO2 industrial pollutant

2021 ◽  
pp. 1420326X2110036
Author(s):  
Qian Xu ◽  
Chan Lu ◽  
Rachael Gakii Murithi ◽  
Lanqin Cao
Keyword(s):  
Time Windows ◽  
Air Pollutant ◽  
Gynaecological Cancer ◽  
High Concentration ◽  
The Past ◽  
Short And Long Term ◽  
Using Data ◽  
Air Quality Monitoring Stations ◽  
Control Study

A cohort case–control study was conducted in XiangYa Hospital, Changsha, China, which involved 305 patients and 399 healthy women, from June 2010 to December 2018, to evaluate the association between Chinese women’s short- and long-term exposure to industrial air pollutant, SO2 and gynaecological cancer (GC). We obtained personal and family information from the XiangYa Hospital electronic computer medical records. Using data obtained from the air quality monitoring stations in Changsha, we estimated each woman’s exposure to the industrial air pollutant, sulphur dioxide (SO2), for different time windows, including the past 1, 5, 10 and 15 years before diagnosis of the disease. A multiple logistic regression model was used to assess the association between GC and SO2 exposure. GC was significantly associated with long-term SO2 exposure, with adjusted odds ratio (95% confidence interval) = 1.56 (1.10–2.21) and 1.81 (1.07–3.06) for a per interquartile range increase in the past 10 and 15 years, respectively. Sensitivity analysis showed that different groups reacted in different ways to long-term SO2 exposure. We concluded that long-term exposure to high concentration of industrial pollutant, SO2 is associated with the development of GC. This finding has implications for the prevention and reduction of GC.

scholarly journals Forecasting of COVID-19 Reproduction Number by ARIMA Methodology and Quantile Estimation based on Best Fit Distribution by L- moments for Top-10 Affected Countries

2021 ◽  
Author(s):  
Muhammad Waqas ◽  
Songhua Xu ◽  
Linyun Zhou
Keyword(s):  
Reproduction Number ◽  
Quantile Estimation ◽  
The Usa ◽  
L Moments ◽  
Short And Long Term ◽  
Long Term Forecasting ◽  
Novel Coronavirus ◽  
The Uk ◽  
Health Experts

Abstract We utilized the average weekly estimated reproduction number data of COVID-19 from March (2020–2021). By applying ARIMA and L-moments methodology, short-and-long-term forecasting of R0 is made for Govt. officials and public health experts to take before-time policy measures to control the spread of novel coronavirus. This study helps medical staff to measure the expected demand of COVID-19 vaccine doses. We applied various ARIMA models on each country’s data and the best selected based on RMSE, AIC, and BIC for point and interval forecasting. Application L-Moments techniques selected GLO, GEV, and GNO distributions and quantile estimation with return period calculations. The forecasting shows that maximum countries mean R0 > 1, which is still a serious threat and can lead to heath disaster. The forecasting provided an alarming situation in the coming months for India, France, Turkey, and Spain; health experts should take strict measures because the cases rise due to the high R0 forecast. The USA, Russia, and the UK mean R0 will not suddenly increase; these countries consistent in COVID-19 R0 control. We find that even the significant population differences prevail among selected countries, the R0 is still high in maximum countries, so its a dire need to take strict control actions to minimize the R0 for public safety.

The Final Score

2020 ◽  
pp. 201-210
Author(s):  
Steven M. Ortiz
Keyword(s):  
Lived Experience ◽  
Longitudinal Research ◽  
Long Term Effects ◽  
Professional Athlete ◽  
The Past ◽  
Personal Empowerment ◽  
Final Score ◽  
Short And Long Term ◽  
Over Time

The conclusion provides some final observations about the longitudinal research itself and its short- and long-term effects on the women involved. It briefly touches on the few areas of the sport marriage that have seen improvement in the past few decades, discusses the conscious decisions the women make to continue normalizing the career-dominated marriage, and reports on how the marriages fared over time. It also describes the women’s personal empowerment as a result of their participation in the research. Finally, it summarizes the advice and suggested keys to a successful sport marriage that the wives in both studies offered, based on their lived experience. This overview essentially describes how and why the wife of a male professional athlete must adapt to realities if she wants her marriage to survive her husband’s career and retirement.

Concentrations and health effects of short- and long-term exposure to PM2.5, NO2, and O3 in ambient air of Ahvaz city, Iran (2014–2017)

2019 ◽  
Vol 180 ◽  
pp. 542-548 ◽  
Author(s):  
Afsaneh Karimi ◽  
Mohammad Shirmardi ◽  
Mostafa Hadei ◽  
Yaser Tahmasebi Birgani ◽  
Abdolkazem Neisi ◽  
...  
Keyword(s):  
Health Effects ◽  
Ambient Air ◽  
Short And Long Term

The effects of air pollution on vegetation from a geographic perspective

2000 ◽  
Vol 24 (1) ◽  
pp. 53-74 ◽  
Author(s):  
Eunmi Chang ◽  
Valery J. Terwilliger
Keyword(s):  
Air Pollution ◽  
Atmospheric Chemistry ◽  
Community Dynamics ◽  
Research Output ◽  
Physical Geography ◽  
Atmospheric Emissions ◽  
The Past ◽  
Short And Long Term ◽  
Holistic Research

Researchers in many fields seek to understand the effects of anthropogenic changes in atmospheric chemistry on vegetation distributions. Particularly important needs for information from a pragmatic perspective include (1) relationships between short-and long-term metabolic consequences of pollutant uptake to vegetation distributions, and (2) indirect influences of air pollution on plant-community dynamics. Biogeography would be the appropriate discipline to make the most powerful contributions to these needs. This does not only mean gathering research output to show a broader picture. In addition, it means introducing new approaches from various fields in order to deepen understanding of spatial phenomena in the past and present, and to better predict patterns of the future. We review developments in both reductionist and holistic research approaches that have effectively enhanced knowledge of how atmospheric emissions affect vegetation. Limitations of these approaches are also discussed. We assume that the contributions of Geographic Information Systems and remote sensing to this line of inquiry are sufficiently appreciated by the bio- and physical geography community to be de-emphasized here. Instead, other approaches better known in more specialized disciplines that are leading to powerful insights from a more restricted sector of the biogeographical community are emphasized. A synthetic core role for physical and biogeography that more fully embraces developments in related disciplines is then proposed.

Principles of Disaster Management Lesson 14. Criteria for Assessing a Program

2001 ◽  
Vol 16 (4) ◽  
pp. 303-306 ◽  
Author(s):  
Fred C. Cuny
Keyword(s):  
Disaster Management ◽  
Task Force ◽  
Disaster Medicine ◽  
Program Execution ◽  
Short Term ◽  
Management Guidelines ◽  
World Association ◽  
Goals And Objectives ◽  
Utstein Style

AbstractThis lesson examines mechanisms that can be used for the evaluation of a program or project. The principal concern raised is whether the project has met its stated goals and objectives and whether the project has resulted in producing benefits to the affected society. Short-term (immediate) and long-term (developmental) contributions are discussed. The importance of projects contributing to increasing the absorbing capacity of the affected community for the next event is stressed. Twelve problems commonly encountered in program execution are defined. Optimal management attempts to identify potential pitfalls in advance, designing and implementing mechanisms to avoid them, and to deal with them if they should become manifest. Simply meeting the goals and objectives of the sponsoring organization is inadequate, as all responses must be coordinated and approved by the national coordinating agency. Thus, not only is the effectiveness of the project in meeting the defined goals and objectives important, but the project must be assessed in terms of the overall impact of the project on the society. Reference is made to using the structure provided by the Health Disaster Management: Guidelines for Evaluation and Research in the Utstein Style as promulgated by the Task Force on Quality Control of the World Association for Disaster and Emergency Medicine and the Nordic Society of Disaster Medicine.

scholarly journals THE PANDEMIC AND THE ‘ENVIRONMENTALISATION’ OF GEOGRAPHY. AN EPISTEMIC-POLITICAL CHALLENGE

2020 ◽  
Vol 1 (31) ◽  
pp. 65-85
Author(s):  
Marcelo Souza
Keyword(s):  
Social Research ◽  
Physical Geography ◽  
Long Term Effects ◽  
Academic World ◽  
The Past ◽  
Environmental Geography ◽  
Political Challenge ◽  
Short And Long Term ◽  
Epistemic Objects

The purpose of this article is to extract from the COVID-19 pandemic a lesson for geographers: although without intending (or being possible) to simply go back to the past, it is necessary to re-value, nevertheless, the very quintessence of the identity of the geographical discourse, which has been characterised by a way of building epistemic objects that is committed to a dialogue between social research (represented by what we usually call‘human geography’) and natural research (represented by what we usually call ‘physical geography’). This project, presently called ‘environmentalisation,’ does not aim at anything overly ambitious: there is no case here for an exclusionary thesis in the style ‘geography should be this, and nothing else’; in fact, it just defends the idea that an approach such as that of environmental geography, resulting from an attempt at ‘environmentalisation,’ must have its place assured. Environmental geography, being committed to the construction of hybrid epistemic objects, allows us to mobilise the interfaces and knowledge necessary to deal with complex tasks such as the analysis of the short and long-term effects of the pandemic (among many other issues). However, the environmental geography project not only has to deal with intellectual challenges (integrating what knowledge, how and for what purpose?), but, in the end, it must also face political obstacles: the concrete power relations in the academic world and the zeal with which ‘borders’ and ‘territories’ are patrolled and defended, not to mention the resistance of many researchers to leave their thematic and theoretical-methodological comfort zones.

scholarly journals Rural Poverty and Land Degradation: A Review of the Current State of Knowledge

1998 ◽  
Vol 37 (4II) ◽  
pp. 1053-1070 ◽  
Author(s):  
Sohail Jehangir Malik ◽  
Hina Nazli
Keyword(s):  
World Bank ◽  
Land Degradation ◽  
Rural Poverty ◽  
The Past ◽  
Current State ◽  
The World Bank ◽  
Resource Degradation ◽  
The World ◽  
Short And Long Term

By highlighting the lack of rigorous evidence and calling for a greater understanding of the interaction of the two processes, a recent study [Nelson et al. (1997)] has called into question the strong perception that poverty is both a consequence as well as a cause of resource degradation.1 This perception which is widely held is strongly evident in the writings of the multilateral development agencies such as the World Bank (1990) and IFAD (1992) and exists despite extensive reviews which indicate that the short- and long-term implications of land degradation are not very clear [see Scherr and Yadav (1995)]. Similarly, while knowledge about poverty is expanding rapidly, thanks in large parts to the massive international focus and resources brought to bear on its understanding in the past ten.........................

scholarly journals Probing the past 30-year phenology trend of US deciduous forests

2015 ◽  
Vol 12 (15) ◽  
pp. 4693-4709 ◽  
Author(s):  
X. Yue ◽  
N. Unger ◽  
T. F. Keenan ◽  
X. Zhang ◽  
C. S. Vogel
Keyword(s):  
New England ◽  
Model Performance ◽  
Remote Sensing Data ◽  
Deciduous Forests ◽  
Significant Advance ◽  
Spring Phenology ◽  
Continental Scale ◽  
The Past ◽  
The Usa

Abstract. Phenology is experiencing dramatic changes over deciduous forests in the USA. Estimates of trends in phenology on the continental scale are uncertain, however, with studies failing to agree on both the magnitude and spatial distribution of trends in spring and autumn. This is due to the sparsity of in situ records, uncertainties associated with remote sensing data, and the regional focus of many studies. It has been suggested that reported trends are a result of recent temperature changes, though multiple processes are thought to be involved and the nature of the temperature forcing remains unknown. To date, no study has directly attributed long-term phenological trends to individual forcings across the USA through integrating observations with models. Here, we construct an extensive database of ground measurements of phenological events across the USA, and use it to calibrate and evaluate a suite of phenology models. The models use variations of the accumulative temperature summation, with additional chilling requirements for spring phenology and photoperiod limitation for autumn. Including a chilling requirement or photoperiod limitation does not improve model performance, suggesting that temperature change, especially in spring and autumn, is likely the dominant driver of the observed trend during the past 3 decades. Our results show that phenological trends are not uniform over the contiguous USA, with a significant advance of 0.34 day yr−1 for the spring budburst in the east, a delay of 0.15 day yr−1 for the autumn dormancy onset in the northeast and west, but no evidence of change elsewhere. Relative to the 1980s, the growing season in the 2000s is extended by about 1 week (3–4 %) in the east, New England, and the upper Rocky Mountains forests. Additional sensitivity tests show that intraspecific variations may not influence the predicted phenological trends. These results help reconcile conflicting reports of phenological trends in the literature, and directly attribute observed trends to long-term changes in temperature.

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