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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2026
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| Online Access: | https://arxiv.org/abs/2602.09543 |
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| _version_ | 1866918330856636416 |
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| author | Kapadia, Hana Rajasekaran, Arun Kumar |
| author_facet | Kapadia, Hana Rajasekaran, Arun Kumar |
| contents | This study delves into the causes and trends of disability-related health burdens across Indian states. Through multiple Disability-Adjusted Life Years (DALY) types (covering communicable diseases, noncommunicable diseases, and injuries), gender disparities, and Human Development Index (HDI) values, these disability trends were evaluated. The data for this study was compiled from censuses, health research organisations, and data centres, among various other sources. We built regression models and used them to analyze trends across past decades and make projections for 2031. Our regression results show a strong inverse relationship between communicable disease DALYs and HDI. In other words, ongoing improvements in development and infrastructure significantly reduced communicable disease DALYs. In contrast, noncommunicable DALYs did not decrease despite rising HDI. And lastly, injury DALYs showed moderate declines with higher HDI, which reflects improvements in healthcare and safety systems. Gender analysis showed male overrepresentation among people with disabilities. These results from our study support that there is a need to shift public health focus toward chronic diseases and address gender disparities in disability outcomes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_09543 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Shifting landscape of disability and development in India: Analysis from historical trends to future predictions 2001-2031 Kapadia, Hana Rajasekaran, Arun Kumar Social and Information Networks This study delves into the causes and trends of disability-related health burdens across Indian states. Through multiple Disability-Adjusted Life Years (DALY) types (covering communicable diseases, noncommunicable diseases, and injuries), gender disparities, and Human Development Index (HDI) values, these disability trends were evaluated. The data for this study was compiled from censuses, health research organisations, and data centres, among various other sources. We built regression models and used them to analyze trends across past decades and make projections for 2031. Our regression results show a strong inverse relationship between communicable disease DALYs and HDI. In other words, ongoing improvements in development and infrastructure significantly reduced communicable disease DALYs. In contrast, noncommunicable DALYs did not decrease despite rising HDI. And lastly, injury DALYs showed moderate declines with higher HDI, which reflects improvements in healthcare and safety systems. Gender analysis showed male overrepresentation among people with disabilities. These results from our study support that there is a need to shift public health focus toward chronic diseases and address gender disparities in disability outcomes. |
| title | Shifting landscape of disability and development in India: Analysis from historical trends to future predictions 2001-2031 |
| topic | Social and Information Networks |
| url | https://arxiv.org/abs/2602.09543 |