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JCHR 2020, 9(3): 203-212 |
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bahrami G, Rafiey H, Shakiba A, Noroozi M, Sajjadi H. A Review of Studies on Climate Change and Social Variables from the Perspective of Social. JCHR 2020; 9 (3) :203-212
URL: http://jhr.ssu.ac.ir/article-1-494-en.html
URL: http://jhr.ssu.ac.ir/article-1-494-en.html
1- Department of Social Welfare, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
2- 2. Department of Social Welfare & Social Welfare Management Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
3- 3. Center for Remote Sensing & GIS Research, Shahid Beheshti University, Tehran, Iran
4- 4. Social Determinants of Health Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
5- 5. Social Welfare Management Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran ,safaneh_s@yahoo.com
2- 2. Department of Social Welfare & Social Welfare Management Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
3- 3. Center for Remote Sensing & GIS Research, Shahid Beheshti University, Tehran, Iran
4- 4. Social Determinants of Health Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
5- 5. Social Welfare Management Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran ,
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Abstract
Introduction: Many studies have illustrated climate change effects on social variables and health. This study aimed to identify the SDH associated with climate change.
Methods: The present study is a review study with a systematic search. The keywords related to climate change and social variables were searched in the Web of Science and PubMed databases until June 2018. In the initial search 12097 articles were obtained and after the elimination of duplicate and non-related articles, 5932 articles remained After studying the abstracts, 342 articles were excluded based on entry and exit criteria (studies that were not related to climate change and SDH) and 43 articles remained. In the next phase, the full text of the articles was evaluated by two evaluators individually and the consensus method was used. 23 papers were finally included in the study.
Results: According to the review, social variables related to climate change were divided into 5 different categories of variables, including structural variables related to climate change (socioeconomic status), variables related to social status and work conditions (access to health services, unemployment, immigration, inequality, education, work condition, food security), variables related to social relationships and social networks (social movements, urban warfare, riot, group protests, interpersonal violence), individual variables related to lifestyle (place of living; city/village), and individual variables (age, race, gender) based on social determinants of health.
Conclusion: Climate change has a wide range of social outcomes.. Various groups that are vulnerable to climate change include women, elderlies, children, villagers, and workers.
Keywords: Climate change, Health, Social determinants of health,.PNG)
.PNG)
.PNG)
.PNG)
Discussion
Climate change in the reviewed studies referred to changes in temperature, precipitation, humidity, and various phenomena such as floods and droughts that affect social variables at different levels of vulnerability in some groups. According to the results of the present study, the social variables associated with climate change include:
In line with the present study, previous studies have concluded similar results and showed that violent behavior increases with increasing temperature (20). On the other hand, in line with Carlton et al (2016), the result shows demographic characteristics such as age, gender, and race are effective invulnerability towards climate change by influencing the health outcomes (35). Burke et al (2015) examined the theft and crime, like this study, and found that deviations from
moderate temperatures and precipitation patterns systematically increase conflict risk (36).
The present study in line with a review study by Karki et al (2020), has shown that farmers and villagers are more vulnerable to climate change, and rural-to-city migration increases by increasing climate change (21). This study showed that age and gender play a role in vulnerability to climate change so that older people and women are more vulnerable which is in line with Bjarnadottir et al. (2011) study (17). Furthermore, this study concludes place of residence influences the vulnerability of climate change. The result in line with Cattaneo et al (2016) study, shows living in rural or marginalized areas affects the severity of climate change impact and increases its severity (18).
Since most studies have not reported their results quantitatively, in this study, the quantitative report on the relationship between climate change and SDH outcomes had several limitations in some cases. There was no meta-analysis heterogeneity of the statistics in the review articles. There were also no critical appraisal tools available due to assessing the qualities of articles because this study is a kind of narrative review article but systematic search was used. Future research should focus on quantifying climate change impacts on specific areas with attention to the most vulnerable groups and the variation within these groups. Increased understanding of the drivers and destinations of migration will become ever more important for future planning in cities and rural areas.
Conclusion
Based on the review of studies, it can be concluded that climate change has a wide range of social outcomes. On the other hand, environmental conditions have a significant impact on the social, mental, and physical health of people, and the climate and its change can be an effective determinant of health. Different groups have also a different vulnerability towards climate change, so that women, elderlies, children, villagers, and workers are more vulnerable to climate change. The paper has a noble idea and discussed the two important global issues that are social determinants of health and climate change. By identifying the social consequences of climate change, policies that facilitate adaption to this phenomenon or reduce its consequences can be made. At the current time, future social harms can be prevented by identifying the vulnerable groups, and supporting and empowering them.
Identifying the levels of climate change impact will help policymakers to precisely plan interventions to control or adapt to climate change.
Acknowledgments
This article is part of a Ph.D. dissertation entitled: "Health Impact Assessment of Climate Change in Iran”, It has ethics approval (Code: IR.USWR.REC.1397.021) from the University of Social Welfare and Rehabilitation Science, Therefore, the authors are grateful to the aforementioned universities and research participants.
Author Contribution
G.B conceived of the presented idea and H.S. and M.N verified the systematic search. H.S and A.S supervised the findings of this work. All authors discussed the results and contributed to the final manuscript.
Conflict of interest
There is no conflict of interest.
Introduction: Many studies have illustrated climate change effects on social variables and health. This study aimed to identify the SDH associated with climate change.
Methods: The present study is a review study with a systematic search. The keywords related to climate change and social variables were searched in the Web of Science and PubMed databases until June 2018. In the initial search 12097 articles were obtained and after the elimination of duplicate and non-related articles, 5932 articles remained After studying the abstracts, 342 articles were excluded based on entry and exit criteria (studies that were not related to climate change and SDH) and 43 articles remained. In the next phase, the full text of the articles was evaluated by two evaluators individually and the consensus method was used. 23 papers were finally included in the study.
Results: According to the review, social variables related to climate change were divided into 5 different categories of variables, including structural variables related to climate change (socioeconomic status), variables related to social status and work conditions (access to health services, unemployment, immigration, inequality, education, work condition, food security), variables related to social relationships and social networks (social movements, urban warfare, riot, group protests, interpersonal violence), individual variables related to lifestyle (place of living; city/village), and individual variables (age, race, gender) based on social determinants of health.
Conclusion: Climate change has a wide range of social outcomes.. Various groups that are vulnerable to climate change include women, elderlies, children, villagers, and workers.
Keywords: Climate change, Health, Social determinants of health,
Introduction
Climate is referred to as the average patterns of meteorological elements such as temperature, humidity, etc according to seasonal and temporal conditions (1). According to the UNFCCC (United Nations Framework Convention on Climate Change) definition, climate change is referred to as any change in the climate that has been directly or indirectly made by human activity or naturally (2, 3). As reported by the Intergovernmental Panel on Climate Change (IPCC), the temperature of earth, sea levels, and greenhouse gas emissions have increased significantly between 1980 and 2000 (4). The average temperature of earth has increased between 1.4° and 5.8° C in the current century (5), and IPCC reports the occurrence of climate events such as heatwave, flood, and drought will increase in the current century (6). Global climate change has become a major challenge for human societies. On the other hand, changes in the quality of climate and the ecology will have implications for human health (7). Epidemiological evidence suggests that climate change and health are interconnected (8). World Health Organization (WHO) estimates, in 2012, 12.6 million deaths (23% of the world's total mortality) were related to environmental factors, many of which were affected by climate change (9).
The social determinants of health (SDH) are the economic and social conditions that influence individual and group differences in health status (10). Many studies indicate climate change affects social variables and health through social determinants of health (SDHs) (11-15). These social variables determine vulnerability towards climate change (9). Therefore, even if we are not able to control climate change, we need to reduce the vulnerability of societies towards it. Vulnerability refers to the degree of danger and inability of geophysical, biological, and socio-economic systems in overcoming the negative effects of climate change (16).
Bjarnadottir et al. (2011) have examined the vulnerability to climate change based on demographic characteristics of populations. The result showed that age and gender play a role in vulnerability to climate change so that older people and women are more vulnerable (17). Another study by Cattaneo et al. (2016) have found that place of residence influences the vulnerability. Based on the result of this study, living in rural or marginalized areas affects the severity of climate change impact and increases its severity (18). Furthermore, reduction in farmland, horticultural, and livestock production can reduce the income of farmers and workers of these sectors, reduce permanent and seasonal migration, and increase food price and unemployment. (19). Although hot temperatures increase aggression by directly increasing feelings of hostility and indirectly increasing aggressive thoughts. Results of Anderson et al (2020) show that global warming trends may well increase violent-crime rates (20). Another review study by Karki et al (2020) found that farmers worldwide have been experiencing changes in climate mainly regarding rising temperatures, unpredictable and reduced rainfall (21).
Many social variables seem to be related to climate change (22). This study, by identifying social variables influenced by climate change, will be beneficial for policymakers to identify vulnerable groups and social risks of climate change in the future, given the country's susceptibility to climate change. So, this study aimed to identify the SDH associated with climate change using a review method.
Methods
This is a review study with a systematic search. After conducting a regular search through databases, the potential articles were evaluated and screened, and those that had the entry criteria were included in the final study. Search for articles was conducted in June 2018. For the regular search, first, the keywords related to climate change and social variables were searched in the Web of Science and PubMed databases. In each database, a search strategy specific to that database was used with the use of OR, AND operators. The following table shows the search strategy in each database.
Also, the list of English articles was saved in Endnote software so that, duplicates could easily be deleted. Table 2 shows the inclusion and exclusion criteria.
The social determinants of health (SDH) are the economic and social conditions that influence individual and group differences in health status (10). Many studies indicate climate change affects social variables and health through social determinants of health (SDHs) (11-15). These social variables determine vulnerability towards climate change (9). Therefore, even if we are not able to control climate change, we need to reduce the vulnerability of societies towards it. Vulnerability refers to the degree of danger and inability of geophysical, biological, and socio-economic systems in overcoming the negative effects of climate change (16).
Bjarnadottir et al. (2011) have examined the vulnerability to climate change based on demographic characteristics of populations. The result showed that age and gender play a role in vulnerability to climate change so that older people and women are more vulnerable (17). Another study by Cattaneo et al. (2016) have found that place of residence influences the vulnerability. Based on the result of this study, living in rural or marginalized areas affects the severity of climate change impact and increases its severity (18). Furthermore, reduction in farmland, horticultural, and livestock production can reduce the income of farmers and workers of these sectors, reduce permanent and seasonal migration, and increase food price and unemployment. (19). Although hot temperatures increase aggression by directly increasing feelings of hostility and indirectly increasing aggressive thoughts. Results of Anderson et al (2020) show that global warming trends may well increase violent-crime rates (20). Another review study by Karki et al (2020) found that farmers worldwide have been experiencing changes in climate mainly regarding rising temperatures, unpredictable and reduced rainfall (21).
Many social variables seem to be related to climate change (22). This study, by identifying social variables influenced by climate change, will be beneficial for policymakers to identify vulnerable groups and social risks of climate change in the future, given the country's susceptibility to climate change. So, this study aimed to identify the SDH associated with climate change using a review method.
Methods
This is a review study with a systematic search. After conducting a regular search through databases, the potential articles were evaluated and screened, and those that had the entry criteria were included in the final study. Search for articles was conducted in June 2018. For the regular search, first, the keywords related to climate change and social variables were searched in the Web of Science and PubMed databases. In each database, a search strategy specific to that database was used with the use of OR, AND operators. The following table shows the search strategy in each database.
Also, the list of English articles was saved in Endnote software so that, duplicates could easily be deleted. Table 2 shows the inclusion and exclusion criteria.
The Prisma protocol was used to screen and evaluate the articles. In the initial search using the keywords, 12097 articles were obtained and after the elimination of duplicate and non-related articles, 5932 articles remained. The cases of letter to the editor were also excluded from the study. After studying the abstracts, 342 articles were excluded based on entry and exit criteria (studies that were not related to climate change and SDH) and 43 articles remained. In the
next phase, the full text of the articles was evaluated by two evaluators individually. If consensus was not reached, the consensus method was used.
Based on the reviews, 23 papers were finally included in the study (Figure 1).
next phase, the full text of the articles was evaluated by two evaluators individually. If consensus was not reached, the consensus method was used.
Based on the reviews, 23 papers were finally included in the study (Figure 1).
It should be noted that the intention was not to carry out a systematic review at this stage, but to use a systematic search, so the screening stages were carried out systematically according to the criteria of the research team. Finally, the articles most closely related to the subject of the study were reviewed.
Results
The present study reviewed 23 articles. According to the findings of this study, temperature and precipitation are among the climate variables, and any changes in them result in behavior changes. Evidence suggests that personal violence can be increased at high temperatures and low rainfall conditions (23, 24) to the extent that, the rate of rape changes with changing climatic variables. Evidence shows that at high temperatures, the reported incidence of rape increases (25). Increasing temperature and decreasing rainfall are associated with anti-social behavior against service workers, corruption in social media, and crime and violence such as murder, retaliation, theft, and attack (26), which take place in poorer and more rural areas with more agricultural context (27). In addition to personal violence, group violence is also associated with climatic variables. Warmer weather conditions have increased the protests and violence of rebels in India (28), urban wars in Somalia (29), and invasions in Brazil (28). The riots may happen to protest against the government’s policies towards increasing climate change. Inter-sectoral interactions are also affected by climate change. Institutional failures and the collapse of governments are linked to climate change. Social movements are also being formed to deal with climate change, which makes changes at the economic, social, and political levels.
There are also a number of faulty cycles that interconnect the impacts of climate change and exacerbate its effects. Bad economic conditions cause the villagers to migrate to cities (18), and on the other hand, the urbanization and expansion of cities accelerate climate change (30, 31) and its consequences.
Climate change has different effects on different population groups. Studies have shown that gender and place of residence can create different vulnerabilities toward climate change. Based on available evidence, women and the poor are more vulnerable to climate change. Women are more exposed to environmental hazards; for example in some areas, cooking and collection of food is the responsibility of women. Furthermore, women pay more attention to family members and relatives and less to themselves due to their sense of responsibility in providing services, so they are more exposed to the dangers of climate change and incidents. On the other hand, evidence has shown that women’s dressing in some cultures makes them more vulnerable to climate change (32). Living in rural areas has a major effect on vulnerability towards climate change as they are highly dependent on agricultural and livestock production, which can be directly affected by climate change. Residents of rural areas are faced with a lack of job and food insecurity caused by reducing agricultural production due to climate change (agricultural water and precipitation shortages), and this causes them to migrate to urban and industrial areas (33).
The effects of climate change on health and social determinants of health cannot be dismissed. Social determinants of health broadly show the ways that climate change influences health. For example, climate change affects health through agriculture, food production, education, work condition, number of workers, hours of work, unemployment, access to water, health services, and housing.
Climate change affects the vulnerability of some groups just like storms. For example, climate change has a significant impact on Coastal Community Social Vulnerability Index (CCSVI), which includes race, gender, age, and economic and social status (17). Evidence suggests that social and economic inequalities have a significant impact on access to health services and air conditioning systems, and other variables that increase vulnerability. For example, a study conducted in the United States has shown that black people are less likely to use a conditioning system than whites (34).
Many studies have revealed the impact of climate change on social variables. These variables can affect vulnerability or exposure to climate change by affecting health outcomes.
Table 3 shows that the list of SDH variables could be affected by climatic variables that are obtained in this review study. Climate change affects health through social determinants of health. It also plays a role in exposure or vulnerability through social determinants of health. These social variables can be divided into the following groups based on the conceptual framework of social determinants of health provided by the Commission of Social Factors Affecting Health. Figures 2 show this division.
Results
The present study reviewed 23 articles. According to the findings of this study, temperature and precipitation are among the climate variables, and any changes in them result in behavior changes. Evidence suggests that personal violence can be increased at high temperatures and low rainfall conditions (23, 24) to the extent that, the rate of rape changes with changing climatic variables. Evidence shows that at high temperatures, the reported incidence of rape increases (25). Increasing temperature and decreasing rainfall are associated with anti-social behavior against service workers, corruption in social media, and crime and violence such as murder, retaliation, theft, and attack (26), which take place in poorer and more rural areas with more agricultural context (27). In addition to personal violence, group violence is also associated with climatic variables. Warmer weather conditions have increased the protests and violence of rebels in India (28), urban wars in Somalia (29), and invasions in Brazil (28). The riots may happen to protest against the government’s policies towards increasing climate change. Inter-sectoral interactions are also affected by climate change. Institutional failures and the collapse of governments are linked to climate change. Social movements are also being formed to deal with climate change, which makes changes at the economic, social, and political levels.
There are also a number of faulty cycles that interconnect the impacts of climate change and exacerbate its effects. Bad economic conditions cause the villagers to migrate to cities (18), and on the other hand, the urbanization and expansion of cities accelerate climate change (30, 31) and its consequences.
Climate change has different effects on different population groups. Studies have shown that gender and place of residence can create different vulnerabilities toward climate change. Based on available evidence, women and the poor are more vulnerable to climate change. Women are more exposed to environmental hazards; for example in some areas, cooking and collection of food is the responsibility of women. Furthermore, women pay more attention to family members and relatives and less to themselves due to their sense of responsibility in providing services, so they are more exposed to the dangers of climate change and incidents. On the other hand, evidence has shown that women’s dressing in some cultures makes them more vulnerable to climate change (32). Living in rural areas has a major effect on vulnerability towards climate change as they are highly dependent on agricultural and livestock production, which can be directly affected by climate change. Residents of rural areas are faced with a lack of job and food insecurity caused by reducing agricultural production due to climate change (agricultural water and precipitation shortages), and this causes them to migrate to urban and industrial areas (33).
The effects of climate change on health and social determinants of health cannot be dismissed. Social determinants of health broadly show the ways that climate change influences health. For example, climate change affects health through agriculture, food production, education, work condition, number of workers, hours of work, unemployment, access to water, health services, and housing.
Climate change affects the vulnerability of some groups just like storms. For example, climate change has a significant impact on Coastal Community Social Vulnerability Index (CCSVI), which includes race, gender, age, and economic and social status (17). Evidence suggests that social and economic inequalities have a significant impact on access to health services and air conditioning systems, and other variables that increase vulnerability. For example, a study conducted in the United States has shown that black people are less likely to use a conditioning system than whites (34).
Many studies have revealed the impact of climate change on social variables. These variables can affect vulnerability or exposure to climate change by affecting health outcomes.
Table 3 shows that the list of SDH variables could be affected by climatic variables that are obtained in this review study. Climate change affects health through social determinants of health. It also plays a role in exposure or vulnerability through social determinants of health. These social variables can be divided into the following groups based on the conceptual framework of social determinants of health provided by the Commission of Social Factors Affecting Health. Figures 2 show this division.
Climate change in the reviewed studies referred to changes in temperature, precipitation, humidity, and various phenomena such as floods and droughts that affect social variables at different levels of vulnerability in some groups. According to the results of the present study, the social variables associated with climate change include:
- Structural variables related to climate change (socioeconomic status)
- Variables related to social status and work condition (access to health services, unemployment, immigration, inequality, education, work condition, food security)
- Variables related to social relationships and social networks (social movements, urban warfare, riot, group protests, interpersonal violence)
- Individual variables related to lifestyle (place of living; city/village)
- Individual variables (age, race, gender)
In line with the present study, previous studies have concluded similar results and showed that violent behavior increases with increasing temperature (20). On the other hand, in line with Carlton et al (2016), the result shows demographic characteristics such as age, gender, and race are effective invulnerability towards climate change by influencing the health outcomes (35). Burke et al (2015) examined the theft and crime, like this study, and found that deviations from
moderate temperatures and precipitation patterns systematically increase conflict risk (36).
The present study in line with a review study by Karki et al (2020), has shown that farmers and villagers are more vulnerable to climate change, and rural-to-city migration increases by increasing climate change (21). This study showed that age and gender play a role in vulnerability to climate change so that older people and women are more vulnerable which is in line with Bjarnadottir et al. (2011) study (17). Furthermore, this study concludes place of residence influences the vulnerability of climate change. The result in line with Cattaneo et al (2016) study, shows living in rural or marginalized areas affects the severity of climate change impact and increases its severity (18).
Since most studies have not reported their results quantitatively, in this study, the quantitative report on the relationship between climate change and SDH outcomes had several limitations in some cases. There was no meta-analysis heterogeneity of the statistics in the review articles. There were also no critical appraisal tools available due to assessing the qualities of articles because this study is a kind of narrative review article but systematic search was used. Future research should focus on quantifying climate change impacts on specific areas with attention to the most vulnerable groups and the variation within these groups. Increased understanding of the drivers and destinations of migration will become ever more important for future planning in cities and rural areas.
Conclusion
Based on the review of studies, it can be concluded that climate change has a wide range of social outcomes. On the other hand, environmental conditions have a significant impact on the social, mental, and physical health of people, and the climate and its change can be an effective determinant of health. Different groups have also a different vulnerability towards climate change, so that women, elderlies, children, villagers, and workers are more vulnerable to climate change. The paper has a noble idea and discussed the two important global issues that are social determinants of health and climate change. By identifying the social consequences of climate change, policies that facilitate adaption to this phenomenon or reduce its consequences can be made. At the current time, future social harms can be prevented by identifying the vulnerable groups, and supporting and empowering them.
Identifying the levels of climate change impact will help policymakers to precisely plan interventions to control or adapt to climate change.
Acknowledgments
This article is part of a Ph.D. dissertation entitled: "Health Impact Assessment of Climate Change in Iran”, It has ethics approval (Code: IR.USWR.REC.1397.021) from the University of Social Welfare and Rehabilitation Science, Therefore, the authors are grateful to the aforementioned universities and research participants.
Author Contribution
G.B conceived of the presented idea and H.S. and M.N verified the systematic search. H.S and A.S supervised the findings of this work. All authors discussed the results and contributed to the final manuscript.
Conflict of interest
There is no conflict of interest.
Review: Review |
Subject:
General
Received: 2019/01/15 | Accepted: 2020/09/20 | Published: 2020/09/26
Received: 2019/01/15 | Accepted: 2020/09/20 | Published: 2020/09/26
References
1. 1. Arrow K, Solow R, Portney PR, et al. Report of the NOAA Panel on Contingent Valuation. Federal register. 1993; 58(10): 4601-4614.
2. [Book] Parry ML. Assessing the Costs of Adaptation to Climate Change: A Review of the UNFCCC and Other Recent Estimates: Iied. 2009.
3. Baldwin A, Bettini G, Editors. Life Adrift: Climate Change, Migration, Critique. Rowman & Littlefield. 2017 May 24.
4. Pachauri RK, Allen MR, Barros VR, et al. Climate change 2014: Synthesis Report. Contribution of Working Groups I, II And III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change: IPCC. 2014.
5. Levy K, Woster AP, Goldstein RS, et al. Untangling the Impacts of Climate Change on Waterborne Diseases: A Systematic Review of Relationships Between Diarrheal Diseases and Temperature, Rainfall, Flooding, and Drought. Environmental Science & Technology. 2016; 50(10): 4905-4922. [DOI:10.1021/acs.est.5b06186]
6. Wu X, Lu Y, Zhou S, et al. Impact of Climate Change on Human Infectious Diseases: Empirical Evidence and Human Adaptation. Environment International. 2016; 86: 14-23. [DOI:10.1016/j.envint.2015.09.007]
7. Patz JA, Campbell-Lendrum D, Holloway T, et al. Impact of Regional Climate Change on Human Health. Nature. 2005; 438(7066): 310-317. [DOI:10.1038/nature04188]
8. Analitis A, Michelozzi P, D'Ippoliti D, et al. Effects of Heat Waves on Mortality: Effect Modification and Confounding by Air Pollutants. Epidemiology. 2014; 25(1): 15-22. [DOI:10.1097/EDE.0b013e31828ac01b]
9. Watts N, Adger WN, Ayeb-Karlsson S, et al. The Lancet Countdown: Tracking Progress on Health and Climate Change. Lancet (London, England). The Lancet. 2017; 389(10074):1151-1164. [DOI:10.1016/S0140-6736(16)32124-9]
10. Tarlov AR. Social Determinants of Health: The Sociobiological Translation. Health and Social Organization: Routledge. 2002: 87-109.
11. Paavola J. Health Impacts of Climate Change and Health and Social Inequalities in the UK. Environmental Health. 2017; 16(1): 61-68. [DOI:10.1186/s12940-017-0328-z]
12. Kuehn L, McCormick S. Heat Exposure and Maternal Health in the Face of Climate Change. International Journal of Environmental Research and Public Health. 2017; 14(8): 853. [DOI:10.3390/ijerph14080853]
13. Leyva EWA, Beaman A, Davidson PM. Health Impact of Climate Change in Older People: An Integrative Review and Implications for Nursing. Journal of Nursing Scholarship. 2017; 49(6): 670-678. [DOI:10.1111/jnu.12346]
14. Wang L, Zhong B, Vardoulakis S, et al. Air Quality Strategies on Public Health and Health Equity in Europe-A Systematic Review. International Journal of Environmental Research and Public Health. 2016; 13(12). [DOI:10.3390/ijerph13121196]
15. Brondizio ES, de Lima AC, Schramski S, et al. Social and Health Dimensions of Climate Change in the Amazon. Annals of Human Biology. 2016; 43(4): 405-414. [DOI:10.1080/03014460.2016.1193222]
16. Brown VA. The Uses of Social and Environmental Health Indicators in Monitoring the Effects of Climate Change. Climatic Change. 1993; 25(3): 389-403. [DOI:10.1007/BF01098383]
17. Bjarnadottir S, Li Y, Stewart MG. A Probabilistic-Based Framework for Impact and Adaptation Assessment of Climate Change on Hurricane Damage Risks and Costs. Structural Safety. 2011; 33(3):173-185. [DOI:10.1016/j.strusafe.2011.02.003]
18. Cattaneo C, Peri G. The Migration Response to Increasing Temperatures. Journal of Development Economics. 2016; 122: 127-146. [DOI:10.1016/j.jdeveco.2016.05.004]
19. Bilsborrow RE, DeLargy PF. Land use, Migration, and Natural Resource Deterioration: The Experience of Guatemala and the Sudan. Population and Development Review. 1990; 16: 125-47. [DOI:10.2307/2808067]
20. Helman D, Zaitchik BF. Temperature Anomalies affect Violent Conflicts in African and Middle Eastern Warm Regions. Global Environmental Change. 2020; 63: 102118. [DOI:10.1016/j.gloenvcha.2020.102118]
21. Karki S, Burton P, Mackey B. The Experiences and Perceptions of Farmers about the Impacts of Climate Change And Variability on Crop Production: A Review. Climate and Development. 2020; 12(1): 80-95. [DOI:10.1080/17565529.2019.1603096]
22. Román-Palacios C, Wiens JJ. Recent Responses to Climate Change Reveal the Drivers of Species Extinction and Survival. Proceedings of the National Academy of Sciences. 2020; 117(8): 4211-7. [DOI:10.1073/pnas.1913007117]
23. Hsiang SM, Burke M, Miguel E. Quantifying the Influence of Climate on Human Conflict. Science. 2013; 341(6151): e1235367. [DOI:10.1126/science.1235367]
24. Burke SEL, Sanson AV, Van Hoorn J. The Psychological Effects of Climate Change on Children. Current Psychiatry Reports. 2018; 20(5): 35. [DOI:10.1007/s11920-018-0896-9]
25. Kenrick DT, Macfarlane SW. Ambient Temperature and Horn Honking: A Field Study of the Heat/Aggression Relationship. Environment and Behavior. 1986; 18(2): 179-191. [DOI:10.1177/0013916586182002]
26. Blakeslee DS, Fishman R. Rainfall Shocks and Property Crimes in Agrarian Societies: Evidence from India. Available at SSRN 2208292. 2013. [DOI:10.2139/ssrn.2208292]
27. Iyer L, Topalova PB. Poverty and Crime: Evidence from Rainfall and Trade Shocks in India. Harvard Business School. BGIE Unit Working Paper. 2014 [DOI:10.2139/ssrn.2419522]
28. Hidalgo FD, Naidu S, Nichter S, et al. Economic Determinants of Land Invasions. The Review of Economics and Statistics. 2010; 92(3): 505-23. [DOI:10.1162/REST_a_00007]
29. Maystadt JF, Ecker O, Mabiso A. Extreme Weather and Civil War in Somalia: Does Drought Fuel Conflict Through Livestock Price Shocks?. International Food Policy Research Institue. 2013. [DOI:10.2139/ssrn.2228878]
30. Feng S, Krueger AB, Oppenheimer M. Linkages Among Climate Change, Crop Yields and Mexico-US Cross-Border Migration. Proceedings of the National Academy of Sciences. 2010; 107(32): 14257-62. [DOI:10.1073/pnas.1002632107]
31. Cai R, Feng S, Oppenheimer M, et al. Climate Variability and International Migration: The Importance of the Agricultural Linkage. Journal of Environmental Economics and Management. 2016; 79: 135-151. [DOI:10.1016/j.jeem.2016.06.005]
32. Fishman R, Russ J, Carrillo P. Long-Term Impacts of High Temperatures on Economic Productivity. Institute for International Economic Policy Working Paper. 2015.
33. Jessoe K, Manning DT, Taylor JE, Editors. Climate Change and Labor Markets in Rural Mexico: Evidence from Annual Fluctuations in Weather. 2014.
34. O'Neill MS, Ebi KL. Temperature Extremes and Health: Impacts of Climate Variability and Change in the United States. Journal of Occupational and Environmental Medicine. 2009; 51(1): 13-25. [DOI:10.1097/JOM.0b013e318173e122]
35. Carlton EJ, Woster AP, DeWitt P, et al. A Systematic Review and Meta-Analysis of Ambient Temperature and Diarrhoeal Diseases. International Journal of Epidemiology. 2016; 45(1): 117-130. [DOI:10.1093/ije/dyv296]
36. Burke M, Hsiang SM, Miguel E. Climate and conflict. Annual Review of Economics. 2015; 7(1): 577-617. [DOI:10.1146/annurev-economics-080614-115430]
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