1. Provides cutting edge GIS visualization, spatial temporal pattern, and hot spot tracking applications used for predictive modeling of COVID-19. 2. Includes real world case studies with broad geographic scope that reflect COVID-19 trends in cases, deaths, and vaccinations. 3. Provides lifestyle segmentation analysis on the risk of transmission of COVID-19 and spatial patterns of vaccination hesitancy 4. Highlights real world issues brought to light with the help of GIS, such as social discrimination, inequalities in women’s access to mental health care, and analyzes the risk of transmission due to vaccination hesitancy. 5. Shows the use of GIS and spatial analysis at pandemic mapping, management, and control from masking and social distancing to testing site locations accounting for at-risk and vulnerable populations. 6. Discusses facilitating policy making with GIS.

Gender inequality is entrenched in the cultural, political, and market systems that operate at household, community, and national levels. Overarching global changes in access to markets, climatic conditions, and the availability of natural resources intensify disparities in income, assets, and power among genders. This book explains these gender dynamics at macro and micro levels through GIS and spatial analysis. Chapter 1 provides an overview of the current role of GIS in the context of gender inequalities, how it still exists globally despite substantial national and international measures that have been taken toward gender equality. It illustrates global and country-level maps of measures of gender inequalities, such as gender equality index, access to basic education, health and life expectancy, equality of economic opportunity, and political empowerment. The global case studies provided in the consequent chapters explore the world of gender inequalities and get directly involved with some of the GIS and mapping applications. Chapter 2 investigates how GIS can be adapted for the criminal justice response to domestic violence (DV) and to eliminate gender-based violence. Chapter 3 discusses applying GIS and spatial analysis to the prevalence and incidence mapping of intimate partner violence (IPV) and geospatial factors that influence help-seeking and resource availability. Chapter 4 discusses the spatial disparity of gender-representation across industry types in the United States. Chapter 5 explores the social and environmental injustice experienced by female migrant workers at Guiyu town, China, in the context of both environmental pollution and governance. Chapter 6 presents a social vulnerability index to identify spatial patterns of social vulnerability and gender inequalities among Mexican households. Chapter 7 presents the United States' opioid crisis over the past two decades and analysis of mortality by gender, race, age, and urbanicity. Chapter 8 discusses the commitment to "leave no one behind" as the heart of the 2030 Agenda for Sustainable Development and identifies inequalities among women and girls by mapping multiple deprivations in Pakistan. Chapter 9 discusses the long-standing challenges in establishing gender parity in the transportation workforce in the United States. Chapter 10 presents a study that utilizes geospatial statistical tools and state-level admission data to examine gender inequalities in higher-education enrollment in Nigeria and investigates the key factors on enrollment. This book fosters engagement with the newest mapping and GIS application in contemporary issues regarding gender inequalities and nurtures recognition of how institutional global, everyday, and intimate spaces are inherently gendered, classed, raced, and sexualized. It demonstrates the spatiality of the politics of gender difference, and the contributions of GIS and spatial analysis to the struggles for equality and social justice. A unique work that Lays out a step-by-step approach to identify relevant GIS applications, spatial methods, data collection, and mapping techniques for gender inequalities research Has a strong international and global perspective. The author is well-informed in global perspectives Investigates the patterns/processes and indicators driving gender inequality at various temporal scales and at comparably detailed resolutions Illustrates finer-scale case studies, appropriate for local programs and interventions, as well as global scale studies contributing to international and national-level policy discussions on gender inequality Since gender inequality is a research area that is very wide and with strands into many academic traditions, this book is aimed at different and diverse academics/research. It is written for geographers, public health practitioners, sociologists, epidemiologists, criminologists, politicians, economists, environmentalists, GIScientists, and health and research professionals interested in applying GIS and spatial analysis to the study of gender inequalities.

The neighborhoods and the biophysical, political, and cultural environments all play a key role in affecting health outcomes of individuals. Unequal spatial distribution of resources such as clinics, hospitals, public transportation, fresh food markets, and schools could make some communities as a whole more vulnerable and less resilient to adverse health effects. This somber reality suggests that it is rather the question of "who you are depends upon where you are" and the fact that health inequality is both a people and a place concern. That is why health inequality needs to be investigated in a spatial setting to deepen our understanding of why and how some geographical areas experience poorer health than others. This book introduces how spatial context shapes health inequalities. Spatial Health Inequalities: Adapting GIS Tools and Data Analysis demonstrates the spatial health inequalities in six most important topics in environmental and public health, including food insecurity, birth health outcomes, infectious diseases, children's lead poisoning, chronic diseases, and health care access. These are the topics that the author has done extensive research on and provides a detailed description of the topic from a global perspective. Each chapter identifies relevant data and data sources, discusses key literature on appropriate techniques, and then illustrates with real data with mapping and GIS techniques. This is a unique book for students, geographers, clinicians, health and research professionals and community members interested in applying GIS and spatial analysis to the study of health inequalities.

The neighborhoods and the biophysical, political, and cultural environments all play a key role in affecting health outcomes of individuals. Unequal spatial distribution of resources such as clinics, hospitals, public transportation, fresh food markets, and schools could make some communities as a whole more vulnerable and less resilient to adverse health effects. This somber reality suggests that it is rather the question of "who you are depends upon where you are" and the fact that health inequality is both a people and a place concern. That is why health inequality needs to be investigated in a spatial setting to deepen our understanding of why and how some geographical areas experience poorer health than others. This book introduces how spatial context shapes health inequalities. Spatial Health Inequalities: Adapting GIS Tools and Data Analysis demonstrates the spatial health inequalities in six most important topics in environmental and public health, including food insecurity, birth health outcomes, infectious diseases, children's lead poisoning, chronic diseases, and health care access. These are the topics that the author has done extensive research on and provides a detailed description of the topic from a global perspective. Each chapter identifies relevant data and data sources, discusses key literature on appropriate techniques, and then illustrates with real data with mapping and GIS techniques. This is a unique book for students, geographers, clinicians, health and research professionals and community members interested in applying GIS and spatial analysis to the study of health inequalities.