Socioeconomic Influence on Cardiac Mortality in the South Asian Region: New Perspectives from Grey Modeling and G-TOPSIS

Table 1

GIA assessment between CVD mortality and associated factors among SAARC nations.

SAARC nations	AD-GIA	DD-GIA	SSD-GIA
CVD mortality and urbanization
Pakistan	0.87375	0.84687	0.86031
Bangladesh	0.87066	0.84049	0.85558
Maldives	0.65430	0.59470	0.62450
Afghanistan	0.79400	0.63250	0.71325
Nepal	0.86190	0.84497	0.85347
India	0.80245	0.77141	0.78693
Sri Lanka	0.81105	0.79009	0.80057
Bhutan	0.86823	0.85103	0.85963
CVD mortality and population growth
Pakistan	0.82650	0.71666	0.77158
Bangladesh	0.68830	0.62008	0.65419
Maldives	0.85553	0.85463	0.85508
Afghanistan	0.71475	0.69743	0.70609
Nepal	0.75313	0.64587	0.69950
India	0.80301	0.70099	0.75200
Sri Lanka	0.90675	0.89745	0.90210
Bhutan	0.90537	0.81245	0.85891
CVD mortality and HDI
Pakistan	0.85553	0.85463	0.85005
Bangladesh	0.81113	0.74103	0.77608
Maldives	0.62390	0.59880	0.61135
Afghanistan	0.88526	0.81476	0.85001
Nepal	0.76514	0.70098	0.73306
India	0.80374	0.79906	0.80140
Sri Lanka	0.61047	0.54369	0.57708
Bhutan	0.76115	0.63845	0.69980
CVD mortality and access to energy
Pakistan	0.88981	0.85005	0.86993
Bangladesh	0.79610	0.76610	0.78110
Maldives	0.82483	0.77333	0.79908
Afghanistan	0.73696	0.68696	0.71196
Nepal	0.80117	0.79977	0.80047
India	0.78159	0.71239	0.74699
Sri Lanka	0.85886	0.84128	0.85007
Bhutan	0.85225	0.81291	0.83258
CVD mortality and unemployment
Pakistan	0.83824	0.78990	0.81407
Bangladesh	0.88259	0.84467	0.86363
Maldives	0.73609	0.65473	0.69541
Afghanistan	0.81723	0.75009	0.78366
Nepal	0.72285	0.69993	0.71139
India	0.90180	0.89934	0.90057
Sri Lanka	0.90916	0.86730	0.88823
Bhutan	0.72846	0.73654	0.73250
CVD mortality and public health expenditure
Pakistan	0.91079	0.84339	0.87709
Bangladesh	0.87679	0.83269	0.85474
Maldives	0.81736	0.71650	0.76693
Afghanistan	0.82849	0.79245	0.81047
Nepal	0.83660	0.74300	0.78980
India	0.93063	0.84783	0.88923
Sri Lanka	0.86548	0.81458	0.84003
Bhutan	0.74542	0.65472	0.70007