Experiencing a Natural Disaster Temporarily Boosts Relationship Satisfaction in Newlywed Couples

2021 ◽  
pp. 095679762110156
Author(s):  
Hannah C. Williamson ◽  
Thomas N. Bradbury ◽  
Benjamin R. Karney
Keyword(s):  
Relationship Satisfaction ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Intimate Relationships ◽  
Recovery Period ◽  
Married Couples ◽  
Harris County ◽  
Relationship Outcomes ◽  
Before And After ◽  
Levels Of Functioning

How do natural disasters affect intimate relationships? Some research suggests that couples are brought closer together after a disaster, whereas other research suggests that relationships become more strained in the aftermath. Yet all of this work is limited by a lack of predisaster data that would allow for examination of how relationships actually change. The current study is the first to use longitudinal data collected before and after a natural disaster to examine its effect on relationship outcomes. Using a sample of 231 married couples in Harris County, Texas, who experienced Hurricane Harvey, we found that spouses experienced significant increases in satisfaction from before to after the hurricane, but the increase was temporary; couples decreased in satisfaction after the initial boost. Thus, couples appear to grow closer in the immediate aftermath of a natural disaster but then revert to their prehurricane levels of functioning as the recovery period continues.

scholarly journals Early Effects of the COVID-19 Pandemic on Relationship Satisfaction and Attributions

2020 ◽  
Vol 31 (12) ◽  
pp. 1479-1487
Author(s):  
Hannah C. Williamson
Keyword(s):  
Relationship Satisfaction ◽  
Intimate Relationships ◽  
Early Experience ◽  
Demographic Characteristics ◽  
Couple Relationships ◽  
Change Over Time ◽  
Responsibility Attributions ◽  
Relationship Outcomes ◽  
Early Effects ◽  
Over Time

How has the COVID-19 pandemic affected intimate relationships? The existing literature is mixed on the effect of major external stressors on couple relationships, and little is known about the early experience of crises. The current study used 654 individuals involved in a relationship who provided data immediately before the onset of the pandemic (December, 2019) and twice during the early stages of the pandemic (March and April, 2020). Results indicate that relationship satisfaction and causal attributions did not change over time, but responsibility attributions decreased on average. Changes in relationship outcomes were not moderated by demographic characteristics or negative repercussions of the pandemic. There were small moderation effects of relationship coping and conflict during the pandemic, revealing that satisfaction increased and maladaptive attributions decreased in couples with more positive functioning, and satisfaction decreased and maladaptive attributions increased in couples with lower functioning.

IMPACT OF WILDFIRES AND FLOODS ON PROPERTY VALUES: A BEFORE AND AFTER ANALYSIS

2016 ◽  
Vol 61 (01) ◽  
pp. 1640002 ◽  
Author(s):  
WASANTHA ATHUKORALA ◽  
WADE MARTIN ◽  
PRASAD NEELAWALA ◽  
DARSHANA RAJAPAKSA ◽  
CLEVO WILSON
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
House Prices ◽  
Property Values ◽  
Policy Decision ◽  
Control Site ◽  
Property Market ◽  
Park Avenue ◽  
Before And After ◽  
The Impact

One of the most evident casualties of a natural disaster is the property market. The private and social costs from such events run into millions of dollars. In this paper, we use a unique dataset to examine the impact on residential house prices affected by natural disasters using a hedonic property (HP) values approach. For this purpose, we use data before and after a wildfire and floods from Rockhampton in central Queensland, Australia. The data is unique because one suburb was affected by wildfires and another was affected by floods. For the analysis, three suburbs namely Frenchville, Park Avenue and Norman Gardens are used. Frenchville was significantly affected by wildfires in the latter part of 2009 and to a lesser extent in 2012, while Park Avenue was affected by floods at the end of 2010, January 2011–2013. Norman Gardens, which was relatively unaffected, is used as a control site. This enables us to examine the before and after effects on property values in the three suburbs. The results confirm that soon after a natural disaster property prices in affected areas decrease even though the large majority of individual houses remain unaffected. Furthermore, the results indicate that the largely unaffected suburb may gain immediately after a natural disaster but this gain may disappear if natural disasters continue to occur in the area/region due to the stigma created. The results have several important policy decision and welfare implications which are briefly discussed in the paper.

scholarly journals Disease and Social Media in Post-Natural Disaster Recovery Philippines

2021 ◽  
Author(s):  
Lauren E. Charles ◽  
Courtney D. Corley
Keyword(s):  
Social Media ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Disease Surveillance ◽  
Disaster Recovery ◽  
Recovery Period ◽  
Disease Outbreaks ◽  
The Philippines ◽  
Surveillance Program ◽  
Multilinear Regression

AbstractIntroductionThe Philippines is plagued with natural disasters and resulting precipitating factors for disease outbreaks. The developing country has a strong disease surveillance program during and post-disaster phases; however, latent disease contracted during these emergency situations emerges once the Filipinos return to their homes. Coined the social media capital of the world, the Philippines provides an opportunity to evaluate the potential of social media use in disease surveillance during the post-recovery period. By developing and defining a non-traditional method for enhancing detection of infectious diseases post-natural disaster recovery in the Philippines, this research aims to increase the resilience of affected developing countries through advanced passive disease surveillance with minimal cost and high impact.MethodsWe collected 50 million geo-tagged tweets, weekly case counts for six diseases, and all natural disasters from the Philippines between 2012 and 2013. We compared the predictive capability of various disease lexicon-based time series models (e.g., Twitter’s BreakoutDetection, Autoregressive Integrated Moving Average with Explanatory Variable [ARIMAX], Multilinear regression, and Logistic regression) and document embeddings (Gensim’s Doc2Vec).ResultsThe analyses show that the use of only tweets to predict disease outbreaks in the Philippines has varying results depending on which technique is applied, the disease type, and location. Overall, the most consistent predictive results were from the ARIMAX model which showed the significance in tweet value for prediction and a role of disaster in specific instances.DiscussionOverall, the use of disease/sick lexicon-filtered tweets as a predictor of disease in the Philippines appears promising. Due to the consistent and large increase use of Twitter within the country, it would be informative to repeat analysis on more recent years to confirm the top method for prediction. In addition, we suggest that a combination disease-specific model would produce the best results. The model would be one where the case counts of a disease are updated periodically along with the continuous monitoring of lexicon-based tweets plus or minus the time from disaster.

scholarly journals DEVELOPING TROPICAL LANDSLIDE SUSCEPTIBILITY MAP USING DINSAR TECHNIQUE OF JERS-1 SAR DATA

2013 ◽  
Vol 8 (1) ◽  
Author(s):  
Ilham Alimuddin ◽  
Luhur Bayuaji ◽  
Haeruddin C. Maddi3 ◽  
Josaphat Tetuko Sri Sumantyo ◽  
Hiroaki Kuze1
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Landslide Susceptibility ◽  
Volcanic Eruptions ◽  
Geographical Information ◽  
Susceptibility Map ◽  
Landslide Susceptibility Map ◽  
Landslide Event ◽  
Before And After ◽  
Sar Data

Comprehensive information in natural disaster area is essential to prevent and mitigate people from further damage that might occur before and after such event. Mapping this area is one way to comprehend the situation when disaster strikes. Remote sensing data have been widely used along with GIS to create a susceptibility map. The objective of this study was to develop existing landslides susceptibility map by integrating optical satellite images of Landsat ETM and ASTER with Japanese Earth Resource Satellites (JERS-1) Synthetic Aperture Radar (SAR) data complemented by ground GPS and feature measurement into a Geographical Information Systems (GIS) platform. The study area was focused on a landslide event occurred on 26 March 2004 in Jeneberang Watershed of South Sulawesi, Indonesia. Change detection analysis was used to extract thematic information and the technique of Differential SAR Interferometry (DInSAR) was employed to detect slight surface displacement before the landslide event. The DInSAR processed images would be used to add as one weighted analysis factor in creating landslide susceptibility map. The result indicated that there was a slight movement of the slope prior to the event of landslide during the JERS-1 SAR data acquisition period of 1993-1998. Keywords: Optical Images, JERS-1 SAR, DInSAR, Tropical Landslide, GIS, Susceptibility Map 1. Introduction Recently, natural disasters increased in terms of frequency, complexity, scope, and destructive capacity. They have been particularly severe during the last few years when the world has experienced several large-scale natural disasters such as the Indian Ocean earthquake and tsunami; floods and forest fires in Europe, India and China, and drought in Africa (Sassa, 2005). Mapping such natural disaster areas is essential to prevent and mitigate people from further damage that might occur before and after such event. In Indonesia in particular, in these recent years natural disasters occurred more frequently compared to the last decade (BNPB, 2008). Once within a month in 2011, in three different islands, Indonesia was stricken by earthquake, tsunami, flash floods, and volcanic eruptions with severe fatalities to the people and environment. It was obvious that Indonesia was prone to natural disaster due to its position of being squeezed geologically by three major world plates and this fact makes Indonesia one of the most dangerous

When Mother Earth Rises Up

2013 ◽  
Vol 44 (4) ◽  
pp. 271-277 ◽  
Author(s):  
Simona Sacchi ◽  
Paolo Riva ◽  
Marco Brambilla
Keyword(s):  
Free Will ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Mental States ◽  
Disaster Victims ◽  
Willingness To Help ◽  
Mother Earth

Anthropomorphization is the tendency to ascribe humanlike features and mental states, such as free will and consciousness, to nonhuman beings or inanimate agents. Two studies investigated the consequences of the anthropomorphization of nature on people’s willingness to help victims of natural disasters. Study 1 (N = 96) showed that the humanization of nature correlated negatively with willingness to help natural disaster victims. Study 2 (N = 52) tested for causality, showing that the anthropomorphization of nature reduced participants’ intentions to help the victims. Overall, our findings suggest that humanizing nature undermines the tendency to support victims of natural disasters.

Responsiveness to personal positive events in married couples predicts positive relationship outcomes

2006 ◽  
Author(s):  
Heather Setrakian ◽  
Gian Gonzaga ◽  
Lynette Lau ◽  
Gazi Begum ◽  
Thomas Bradbury
Keyword(s):  
Positive Relationship ◽  
Married Couples ◽  
Positive Events ◽  
Relationship Outcomes

Law on Natural Disasters

2018 ◽  
Author(s):  
Ki-Gab Park
Keyword(s):  
Natural Disasters ◽  
International Cooperation ◽  
Natural Disaster ◽  
International Community ◽  
The State ◽  
Efficient Tool ◽  
International Solidarity ◽  
Cooperation Mechanism ◽  
Prior Consent ◽  
Humanitarian Crises

The chapter argues that natural disasters are common concerns in the international community. At the same time, the current international cooperation mechanism, based on the principle of equal sovereignty, require prior consent by the state affected by a natural disaster. Unfortunately, this is not always an efficient tool for the protection of victims. The globalization of problems and the proliferation of humanitarian crises make the veritable solidarity of the international community increasingly necessary, and therefore another high value, namely international solidarity or community obligations, should create direct and immediate obligations for all members of the international community. The main object of this chapter is to discuss the future-oriented direction of the law on natural disasters. This means, first, to ascertain the lex lata, especially customary rules. The chapter further offers some suggestions on possible ways for the international community to provide more effective relief for victims of natural disasters.

scholarly journals A Chatbot System to Support Mine Safety Procedures during Natural Disasters

2021 ◽  
Vol 13 (2) ◽  
pp. 654
Author(s):  
Meng-Han Tsai ◽  
Hao-Yung Chan ◽  
Yi-Lin Chan ◽  
Heng-Kuang Shen ◽  
Pei-Yi Lin ◽  
...  
Keyword(s):  
Natural Disasters ◽  
Cost Reduction ◽  
Instant Messaging ◽  
Mine Safety ◽  
Time Cost ◽  
Time Consumption ◽  
Related Information ◽  
Before And After ◽  
Efficiency And Effectiveness ◽  
Safety Procedures

This study developed a chatbot to improve the efficiency of government activation of mine safety procedures during natural disasters. Taiwan has a comprehensive governmental system dedicated to responding to frequent natural disasters, and the Bureau of Mines has instituted clear procedures to ensure the delivery of disaster alarms and damage reports. However, the labor- and time-consumption procedures are inefficient. In this study, we propose a system framework for disaster-related information retrieval and immediate notifications to support the execution of mine safety procedures. The framework utilizes instant messaging (IM) applications as the user interface to look up information and send messages to announce the occurrence of disaster events. We evaluated the efficiency of the procedures before and after adopting the system and achieved a time-cost reduction of 55.8 min among three types of disaster events. The study has proven the feasibility of adopting novel techniques for decision-making and assures the improvement of the efficiency and effectiveness of the procedure activation.

scholarly journals Do Long-Term Natural Disasters Influence Social Trust? Empirical Evidence from China

2021 ◽  
Vol 18 (14) ◽  
pp. 7280
Author(s):  
Yao Li ◽  
Haoyang Li ◽  
Jianqing Ruan
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Social Trust ◽  
Geographical Location ◽  
Household Survey ◽  
Flood Frequency ◽  
Psychological Characteristics ◽  
The North ◽  
The Impact

The natural environment is one of the most critical factors that profoundly influences human races. Natural disasters may have enormous effects on individual psychological characteristics. Using China’s long-term historical natural disaster dataset from 1470 to 2000 and data from a household survey in 2012, we explore whether long-term natural disasters affect social trust. We find that there is a statistically significant positive relationship between long-term natural disaster frequency and social trust. We further examine the impact of long-term natural disaster frequency on social trust in specific groups of people. Social trust in neighbors and doctors is stronger where long-term natural disasters are more frequent. Our results are robust after we considering the geographical difference. The effect of long-term natural disasters remains positively significant after we divide the samples based on geographical location. Interestingly, the impact of long-term flood frequency is only significant in the South and the impact of long-term drought frequency is only significant in the North.

The Impact of Personality Disorders on Longitudinal Change in Relationship Satisfaction in Long-Term Married Couples

2020 ◽  
Vol 34 (4) ◽  
pp. 439-458 ◽  
Author(s):  
Susan C. South ◽  
Michael J. Boudreaux ◽  
Thomas F. Oltmanns
Keyword(s):  
Marital Satisfaction ◽  
Relationship Satisfaction ◽  
Personality Disorders ◽  
Married Couples ◽  
Structured Interview ◽  
Individual Variability ◽  
Self Report ◽  
Longitudinal Change ◽  
The Impact

Personality disorders (PDs) are significantly, negatively related to marital satisfaction. We examine how maladaptive personality is related to change in marital satisfaction over time utilizing data from the St. Louis Personality and Aging Network (SPAN), a longitudinal, community-based study of personality and health in older adults. Participants were assessed at baseline for PD (self-report, informant-report, and structured interview); self- and spouse-reported relationship satisfaction assessed at baseline and five follow-ups was analyzed with latent growth curve modeling. Higher levels of PD at baseline were associated with lower self and spouse relationship satisfaction at baseline. On average, satisfaction did not change significantly over the study period, but there was significant individual variability. Higher levels of schizoid PD were protective of declines in partner's perception of satisfaction. Findings suggest that partners in long-term married unions may have adapted to the presence of their own or their spouse's level of personality pathology.

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