Subject(s)
Climate Change , International Cooperation , Pandemics , Humans , COVID-19/epidemiology , COVID-19/prevention & control , International Cooperation/legislation & jurisprudence , Pandemics/prevention & control , Pandemics/statistics & numerical data , Climate Change/statistics & numerical dataSubject(s)
COVID-19/epidemiology , Communication , Data Science , Data Visualization , Pandemics , Public Health , Big Data , COVID-19/mortality , Climate Change/statistics & numerical data , Data Science/education , Data Science/standards , Demography/standards , Ethnicity/statistics & numerical data , Geographic Mapping , Health Policy , Humans , Maryland , Policy Making , Public Opinion , Racial Groups/statistics & numerical data , UniversitiesSubject(s)
Air Pollution/adverse effects , COVID-19/psychology , Climate Change/statistics & numerical data , Ill-Housed Persons/psychology , COVID-19/diagnosis , COVID-19/epidemiology , COVID-19/virology , Decision Making/ethics , Environment , Extreme Cold Weather , Extreme Heat , Female , Health Services Accessibility/statistics & numerical data , Humans , SARS-CoV-2/geneticsSubject(s)
Climate Change/economics , Congresses as Topic/organization & administration , Health Care Sector/legislation & jurisprudence , Hope/ethics , COVID-19/diagnosis , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19/virology , Carbon Footprint/statistics & numerical data , Climate Change/statistics & numerical data , Global Warming/prevention & control , Global Warming/statistics & numerical data , Health Care Sector/statistics & numerical data , Hope/physiology , Humans , SARS-CoV-2/genetics , Sustainable Development/legislation & jurisprudence , Waste Disposal, Fluid/legislation & jurisprudence , World Health Organization/organization & administrationSubject(s)
COVID-19/economics , Climate Change/economics , Commerce/economics , Commerce/statistics & numerical data , Crops, Agricultural/economics , Crops, Agricultural/supply & distribution , Food Supply/economics , Food Supply/statistics & numerical data , Climate Change/statistics & numerical data , HumansSubject(s)
COVID-19/psychology , Climate Change/statistics & numerical data , Environmental Exposure/statistics & numerical data , Racism/ethnology , Air Pollution/adverse effects , COVID-19/epidemiology , Curriculum/standards , Education, Medical , Environmental Exposure/legislation & jurisprudence , Humans , Racism/statistics & numerical data , Students, Medical/statistics & numerical dataSubject(s)
COVID-19 , Climate Change/statistics & numerical data , Disaster Planning/trends , Environmental Science/trends , Forecasting/methods , Research/organization & administration , Research/trends , Acclimatization , COVID-19/epidemiology , Climate Change/economics , Disaster Planning/economics , Disaster Planning/methods , Disasters/economics , Disasters/prevention & control , Disasters/statistics & numerical data , Environmental Policy , Environmental Science/economics , Environmental Science/methods , Global Warming/economics , Global Warming/prevention & control , Global Warming/statistics & numerical data , Humans , Public-Private Sector Partnerships , Research/economics , Risk ManagementABSTRACT
Although coronavirus disease 2019 (COVID-19) is a pandemic, it has several specificities influencing its outcomes due to the entwinement of several factors, which anthropologists have called "syndemics". Drawing upon Singer and Clair's syndemics model, I focus on synergistic interaction among chronic kidney disease (CKD), diabetes, and COVID-19 in Pakistan. I argue that over 36 million people in Pakistan are standing at a higher risk of contracting COVID-19, developing severe complications, and losing their lives. These two diseases, but several other socio-cultural, economic, and political factors contributing to structured vulnerabilities, would function as confounders. To deal with the critical effects of these syndemics the government needs appropriate policies and their implementation during the pandemic and post-pandemic. To eliminate or at least minimize various vulnerabilities, Pakistan needs drastic changes, especially to overcome (formal) illiteracy, unemployment, poverty, gender difference, and rural and urban difference.