Socio-Economic Impact of HIV and AIDS in Tamil nadu
Socio-Economic Impact of HIV and AIDS in Tamil nadu
Socio-Economic Impact of HIV and AIDS in Tamil nadu
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Chapter 9<br />
Conclusion <strong>and</strong> Policy<br />
Implications<br />
The results <strong>of</strong> the study <strong>in</strong> <strong>Tamil</strong> Nadu<br />
<strong>in</strong>dicate that although the impact <strong>of</strong><br />
the epidemic is ma<strong>in</strong>ly on the work<strong>in</strong>g<br />
members <strong>of</strong> the household, the entire<br />
household gets affected economically,<br />
physically, emotionally <strong>and</strong> to some<br />
extent socially. The education <strong>of</strong> the<br />
children <strong>in</strong> these families is also be<strong>in</strong>g<br />
affected.<br />
The percentage <strong>of</strong> widows <strong>in</strong> the sample is<br />
much higher than that <strong>of</strong> widowers. Also,<br />
while 64 percent <strong>of</strong> the men discovered<br />
their <strong>HIV</strong> status after prolonged illness,<br />
the same percentage <strong>of</strong> women discovered<br />
their status after voluntary test<strong>in</strong>g, <strong>and</strong><br />
that too mostly after their husb<strong>and</strong>s had<br />
tested positive. One may <strong>in</strong>fer from this<br />
that <strong>in</strong> the household set up, there is a<br />
possibility that <strong>in</strong> a higher percentage<br />
<strong>of</strong> the cases, the <strong>in</strong>fection is be<strong>in</strong>g<br />
transmitted from men to women. Also, as<br />
seen from the pr<strong>of</strong>ile, many <strong>of</strong> the PLWHA<br />
have been forced to withdraw from the<br />
labour force due to ill health.<br />
C o m p a r i s o n o f t h e w o r k f o rc e<br />
participation rates <strong>of</strong> <strong>HIV</strong> <strong>and</strong> non-<strong>HIV</strong><br />
households shows that the <strong>in</strong>fection<br />
has <strong>in</strong>deed put an additional burden<br />
<strong>of</strong> earn<strong>in</strong>g on the children <strong>and</strong> more so<br />
on the elderly <strong>in</strong> the household. This<br />
is <strong>in</strong> spite <strong>of</strong> the fact that work force<br />
participation <strong>in</strong> the sample is higher for<br />
PLWHA. It would be another matter to<br />
assess what would be the impact when<br />
the presently work<strong>in</strong>g PLWHA are unable<br />
to cont<strong>in</strong>ue work<strong>in</strong>g. Not only has the<br />
<strong>in</strong>fection forced a few PLWHA to change<br />
their occupation after be<strong>in</strong>g detected<br />
<strong>HIV</strong>-positive, but some have even had<br />
to give up their jobs. Most <strong>of</strong> the PLWHA<br />
who had to give up work had to do this<br />
due to ill health. The <strong>HIV</strong> households were<br />
seen to suffer <strong>in</strong>come loss <strong>in</strong> three ways:<br />
(a) Currently work<strong>in</strong>g PLWHA forced to<br />
take leave or be absent from work due<br />
to ill health, (b) PLWHA dropp<strong>in</strong>g out<br />
<strong>of</strong> work force with worsen<strong>in</strong>g physical<br />
condition, <strong>and</strong> (c) An employed caregiver<br />
<strong>in</strong> the family had to take leave to look<br />
after the PLWHA. Although the aggregate<br />
economic impact did not appear to be<br />
much at the macro level, it was serious,<br />
particularly <strong>in</strong> households where the<br />
number <strong>of</strong> PLWHA was more than one<br />
or where the family suffered loss <strong>in</strong> more<br />
than one <strong>of</strong> the above mentioned ways.<br />
There was also no mechanism <strong>in</strong> place to<br />
support those who lost their jobs <strong>and</strong> the<br />
issue is more serious <strong>in</strong> the case <strong>of</strong> wage<br />
earners who lack social security.<br />
While the annual per capita <strong>in</strong>come <strong>of</strong><br />
<strong>HIV</strong> households <strong>in</strong> the sample is lesser<br />
than that <strong>of</strong> the non-<strong>HIV</strong> households,<br />
their per capita expenditure is higher,<br />
ma<strong>in</strong>ly because <strong>of</strong> higher levels <strong>of</strong><br />
Conclusion <strong>and</strong> Policy Implications<br />
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