Responding to Disaster-Related Loss and Grief: Recovering From the 2013 Flood in Southern Alberta, Canada

Agricultural Disaster Risk Management and Capability Assessment Using Big Data Analytics

Besides many impacts, climate change and the rise of harsh weather have a huge hit that jeopardizes agricultural sectors. Natural catastrophes, including flooding and wildfires, are the sources of significant declines in crop production. National governments make an essential commitment, and foreign institutions work together to mitigate disasters' resilience vulnerability. These hazards have pushed catastrophe management to the forefront and made it an expanding scholarly area of study. The remarkable growth of information technology has motivated the scientific group to integrate this technology into emergency management. In this article, agricultural disaster risk management (ADRM) is offered to decide the status quo of the research on agriculture disaster management and the significance of big data. This article's primary objective is to provide technical metric analysis to analyze the body of research carried out in the past decade on different forms of disasters and the use of significant volumes. For the data assessment, the annual growth of publication outcomes, the corresponding categories of topics, and the productivity study specifications was determined. The flux of raw and analytical data from comprehensive data is so established that another effect is heavily affected in the final performance of forecasting. The assessment of ADRM proposed would have been based on data provided by the Department of Indian Meteorology, and improvement is illustrated in incorporating the mechanism proposed in flood prediction long before the occurrence of floods.

The Impact of Coparenting on Mothers’ COVID-19-Related Stressors

To test and explore whether more positive coparenting will significantly predict lower COVID-19-related stress across family configurations and dynamics and across both higher- and lower-income mothers, we developed and circulated an online survey among mothers from the U.S. and Canada. Coparenting was measured using the Coparenting Across Family Structures (CoPAFS) short form (27 items) scale, comprised of factors representing five coparenting dimensions: communication, respect, trust, animosity, and valuing the other parent. Items specific to COVID-19 stressors assessed the types of stressors each parent faced. The sample consisted of 236 North American mothers, mostly white (n = 187, 79.2%) and aged 30–50 years. The surveyed mothers reported a consistent and significant relation between more positive coparenting and less COVID-19-related stressors whether parents were living together or not, married or divorced, and with a lower or higher income level, suggesting the importance and centrality of positive coparenting as a key factor for family well-being. Coparenting was especially predictive among mothers who were never married and those with lower incomes.