Dealing with extreme weather events in India—A vulnerability assessment study, current status and way forward

  • Vaishali Jaiswal Department of Community Health Administration, National Institute of Health & Family Welfare, New Delhi 110067, India
  • Deepshikha Deepshikha Special Centre for Disaster Research, Jawaharlal Nehru University, New Delhi 110067, India
  • V. K. Tiwari National Institute of Health & Family Welfare, New Delhi 110067, India
Article ID: 1280
143 Views, 80 PDF Downloads
Keywords: extreme weather events; vulnerability index; India; health; climate change

Abstract

Introduction: Climate change has increased the frequency and intensity of daily weather extremes. Extreme weather events (EWE) can result in damage to health. As climate-related events become more frequent and intense, the implications for healthcare systems and access to medical services become even more pronounced. The study aims to estimate the vulnerability of India and its states towards the EWE by calculating a vulnerability index by identifying the specific extreme weather conditions in India. It also explores ways to make the healthcare system resilient to climate change. Methodology: The study combines quantitative data analysis and qualitative content analysis to assess vulnerability, analyze the current healthcare system, and propose recommendations for managing the impact of EWE on healthcare. Secondary data on historical climate and weather from IMD was collected to identify patterns and trends in EWE in India. Healthcare data on healthcare infrastructure, admissions rates related to EWE, and disease outbreaks was collected from reports. Policy documents, reports, and research articles related to healthcare system preparedness for EWE were analyzed quantitatively to identify vulnerability indicators and previous disaster experiences. The vulnerability index was calculated by combining selected indicators using appropriate weighting and normalization techniques to quantify the vulnerability of the healthcare system to EWE. After the calculation of sensitivity, exposure, and adaptive capacity separately, the vulnerability index was calculated using the following formula: Vulnerability is equal to exposure plus sensitivity minus adaptive capacity. Results: The association between daily variation in meteorological conditions and mortality has been found to be significant, as reported from previous studies on a wide range of populations in India. The ten most vulnerable states to EWE due to climate change, according to the estimations on the vulnerability index, are Meghalaya at the topmost followed by Madhya Pradesh, Rajasthan, Gujarat, West Bengal, Assam, Karnataka, Odisha, Tripura, and Uttar Pradesh. Conclusion: The study shows that linkages between climate change and human health are complex and multi-layered, and predictions of future health impacts of climate change are still uncertain.

References

[1]Sekhri S, Kumar P, Fürst C, et al. Mountain specific multi-hazard risk management framework (MSMRMF): Assessment and mitigation of multi-hazard and climate change risk in the Indian Himalayan Region. Ecological Indicators. 2020; 118: 106700. doi: 10.1016/j.ecolind.2020.106700

[2]Wheeler T, von Braun J. Climate Change Impacts on Global Food Security. Science. 2013; 341(6145): 508-513. doi: 10.1126/science.1239402

[3]Li L, Wang B, Feng P, et al. The optimization of model ensemble composition and size can enhance the robustness of crop yield projections. Communications Earth & Environment. 2023; 4(1). doi: 10.1038/s43247-023-01016-9

[4]Parker L, Bourgoin C, Martinez-Valle A, et al. Vulnerability of the agricultural sector to climate change: The development of a pan-tropical Climate Risk Vulnerability Assessment to inform sub-national decision making. PLOS ONE. 2019; 14(3): e0213641. doi: 10.1371/journal.pone.0213641

[5]Kirilenko AP, Sedjo RA. Climate change impacts on forestry. Proceedings of the National Academy of Sciences. 2007; 104(50): 19697-19702. doi: 10.1073/pnas.0701424104

[6]Tol RSJ. The Economic Impacts of Climate Change. Review of Environmental Economics and Policy. 2018; 12(1): 4-25. doi: 10.1093/reep/rex027

[7]Cutter SL, Boruff BJ, Shirley WL. Social Vulnerability to Environmental Hazards. Social Science Quarterly. 2003; 84(2): 242-261. doi: 10.1111/1540-6237.8402002

[8]Aryal A, Bosch R, Lakshmi V. Climate Risk and Vulnerability Assessment of the Georgian Hydrology (Water Sector) to the Effects of Climate Change. In: Proceedings of the AGU Fall Meeting 2022; 12–16 December 2022; Chicago, IL, USA. pp. NH45C–0472.

[9]Tran TND, Nguyen BQ, Zhang R, et al. Quantification of Gridded Precipitation Products for the Streamflow Simulation on the Mekong River Basin Using Rainfall Assessment Framework: A Case Study for the Srepok River Subbasin, Central Highland Vietnam. Remote Sensing. 2023; 15(4): 1030. doi: 10.3390/rs15041030

[10]Gernaat DEHJ, de Boer HS, Daioglou V, et al. Climate change impacts on renewable energy supply. Nature Climate Change. 2021; 11(2): 119-125. doi: 10.1038/s41558-020-00949-9

[11]Nunez S, Arets E, Alkemade R, et al. Assessing the impacts of climate change on biodiversity: is below 2 °C enough? Climatic Change. 2019; 154(3-4): 351-365. doi: 10.1007/s10584-019-02420-x

[12]Forzieri G, Cescatti A, Silva F, et al. Increasing risk over time of weather-related hazards to the European population: a data-driven prognostic study. Lancet Planet Health. 2017; 1(5): e200-e208. doi: 10.1016/s2542-5196(17)30082-7

[13]Füssel HM, Jol A, Marx A, Hildén M. Climate Change, Impacts and Vulnerability in Europe 2016. European Environment Agency; 2017.

[14]Friel S, Bowen K, Campbell-Lendrum D, et al. Climate Change, Noncommunicable Diseases, and Development: The Relationships and Common Policy Opportunities. Annual Review of Public Health. 2011; 32(1): 133-147. doi: 10.1146/annurev-publhealth-071910-140612

[15]Basu R. Relation between Elevated Ambient Temperature and Mortality: A Review of the Epidemiologic Evidence. Epidemiologic Reviews. 2002; 24(2): 190-202. doi: 10.1093/epirev/mxf007

[16]Fritzsche K, Schneiderbauer S, Bubeck P, et al. The Vulnerability Sourcebook: Concept and Guidelines for Standardised Vulnerability Assessments. Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH; 2014.

[17]Franchini M, Mannucci PM. Impact on human health of climate changes. European Journal of Internal Medicine. 2015; 26(1): 1-5. doi: 10.1016/j.ejim.2014.12.008

[18]Wolf T, Lyne K, Martinez SG, Kendrovski V. The health effects of climate change in the WHO European region. Climate. 2015; 3(4).

[19]Ebi K, Bowen K. Extreme events as sources of health vulnerability: Drought as an example. Weather Clim. Extreme. 2016; 11: 95-102. doi: 10.1016/j.wace.2015.10.001

[20]Watts N, Amann M, Ayeb-Karlsson S, et al. The Lancet Countdown on health and climate change: From 25 years of inaction to a global transformation for public health. Lancet. 2018; 391: 581-630.

[21]Field CB, Barros V, Stocker TF, et al. IPCC: Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. Cambridge University Press; 2012. p. 582.

[22]Field CB, Barros VR, Dokken, DJ, et al. IPCC: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Cambridge University Press; 2014. p. 1132.

[23]Banwell N, Rutherford S, Mackey B, et al. Towards Improved Linkage of Disaster Risk Reduction and Climate Change Adaptation in Health: A Review. International Journal of Environmental Research and Public Health. 2018; 15(4): 793. doi: 10.3390/ijerph15040793

[24]Hulme M. Attributing weather extremes to ‘climate change.’ Progress in Physical Geography: Earth and Environment. 2014; 38(4): 499-511. doi: 10.1177/0309133314538644

[25]Yuan XC, Wei YM, Wang B, et al. Risk management of extreme events under climate change. Journal of Cleaner Production. 2017; 166: 1169-1174. doi: 10.1016/j.jclepro.2017.07.209

[26]Haines A, Kovats RS, Campbell-Lendrum D, et al. Climate change and human health: Impacts, vulnerability and public health. Public Health. 2006; 120(7): 585-596. doi: 10.1016/j.puhe.2006.01.002

[27]World Health Organization. Operational Framework for Building Climate Resilient Health Systems. World Health Organization; 2015.

[28]Field CB, Barros V, Stocker TF, et al. (editors). Summary for Policymakers. Cambridge University Press; 2012.

[29]Paavola J. Health impacts of climate change and health and social inequalities in the UK. Environmental Health. 2017; 16(S1). doi: 10.1186/s12940-017-0328-z

[30]Tuyet Hanh TT, Huong LTT, Huong NTL, et al. Vietnam Climate Change and Health Vulnerability and Adaptation Assessment, 2018. Environmental Health Insights. 2020; 14: 117863022092465. doi: 10.1177/1178630220924658

[31]Balasubramaniam S, Prasanth A, Kumar KS, et al. Medical image analysis based on deep learning approach for early diagnosis of diseases. In: Murugeswari K, Sundaravadivazhagan B, Poonkuntran S, Puyalnithi T (editors). Deep Learning for Smart Healthcare: Trends, Challenges and Applications. Taylor & Francis; 2024. pp. 54-75. doi: 10.1201/9781003469605-4

[32]Mosadeghrad AM, Isfahani P, Eslambolchi L, et al. Strategies to strengthen a climate-resilient health system: a scoping review. Globalization and Health. 2023; 19(1). doi: 10.1186/s12992-023-00965-2

[33]Keshvardoost S, Dehnavieh R, Bahaadinibeigy K. Climate change and telemedicine: a prospective view. Int J Health Policy Manag. 2021; 10(1): 45-46. doi: 10.15171/ijhpm.2020.08

[34]Mohanty SK, Vasishtha G. Contextualizing multidimensional poverty in urban India. Poverty & Public Policy. 2021; 13(3). doi: 10.1002/pop4.314

Published
2024-04-25
How to Cite
Jaiswal, V., Deepshikha, D., & Tiwari, V. K. (2024). Dealing with extreme weather events in India—A vulnerability assessment study, current status and way forward. Environment and Public Health Research, 1(1), 1280. https://doi.org/10.59400/ephr.v1i1.1280
Section
Article