Negative Reality of the HIV Positives: Evaluating Welfare Loss in a Low Prevalence Country

Using primary household data from India we estimate family utility function parameters that measure the relative importance of consumption, schooling of children and health (both physical and mental) and find that mental health is far more important than consumption or children’s schooling in determining household utility. We then estimate that the monetary equivalent of the welfare loss to an HIV family is Rs. 66,039 per month, whereas the losses to an HIV male and female are Rs. 67,601 and Rs. 65,120 per month respectively. These figures are huge given that the average per capita consumption expenditure of the families in our sample is just Rs. 1,019 per month. This huge magnitude is not surprising as it includes private valuation of one’s own life as well as the cost of stigma for being HIV positive. In addition, the annual loss from external transfers (through debt, sale of assets and social insurance) accounts for 2.6% of annual health expenditure and 0.12% of GDP in 2004. The significance of mental health in welfare evaluation can be gauged from the fact that, for an average HIV family, a whopping 74% of the welfare loss comes from aspects of mental health.HIV/AIDS; Mental Health; Physical Health; Welfare Loss; Family Preference

Integrating Mental Health in Welfare Evaluation: An Empirical Application

This paper presents simple measures of individual and family mental health indices based on axiomatic foundations and integrates mental health into a neoclassical model that allows for proper substitution possibilities in the family preferences and quantifies its significance in family utility. We find that mental health effects are far more important than the effect of consumption or children’s schooling in determining family utility. We illustrate the usefulness of our approach by considering the case of HIV/AIDS experience in India. Using our approach, we find that while there are no significant differences in per capita consumption and schooling between HIV and NON HIV families, the cost of HIV/AIDS are still considerably large due to the inclusion of mental health. Integrating mental health in a utility maximization framework helps us quantify these costs.

Integrating mental health in welfare evaluation: An Empirical application

This paper presents simple measures of individual and family mental health indices based on axiomatic foundations and integrates mental health into a neoclassical model that allows for proper substitution possibilities in the family preferences and quantifies its significance in family utility. We find that mental health effects are far more important than the effect of consumption or children's schooling in determining family utility. We illustrate the usefulness of our approach by considering the case of HIV/AIDS experience in India. Using our approach, we find that while there are no significant differences in per capita consumption and schooling between HIV and NON HOV families, the cost of HIV/AIDS are still considerably large due to the inclusion of mental health. Integrating mental health in a utility maximization framework helps us quantify these costs.

Negative reality of the HIV positives: Evaluating welfare loss in a low prevalence country

Using primary household data from India we estimate family utility function parameters that measure the relative importance of consumption, schooling of children and health (both physical and mental) and find that mental health is far more important than consumption or children's schooling in determining household utility. We then estimate that the monetary equivalent of the welfare loss to an HIV family is Rs. 66,039 per month, whereas the losses to an HIV male and female are Rs.67,601 and Rs. 65,120 per month respectively. These figures are huge given that the average per capita consumption expenditure of the families in our sample is just Rs.1,019 per month. This huge magnitude is not surprising as it includes private valuation of one's own life as well as the cost of stigma for being HIV positive. In addition, the annual loss from external transfers (through debt, sale of assets and social insurance) accounts for 2.6 of annual health expenditure and 0.12 of GDP in 2004. The significance of mental health in welfare evaluation can be gauged from the fact that, for an average HIV family, a whopping 74 of the welfare loss comes from aspects of mental health.

Integrating Mental Health in Welfare Evaluation: An Empirical Application

This paper presents simple measures of individual and family mental health indices based on axiomatic foundations and integrates mental health into a neoclassical model that allows for proper substitution possibilities in the family preferences and quantifies its significance in family utility. We find that mental health effects are far more important than the effect of consumption or children’s schooling in determining family utility. We illustrate the usefulness of our approach by considering the case of HIV/AIDS experience in India. Using our approach, we find that while there are no significant differences in per capita consumption and schooling between HIV and NON HIV families, the cost of HIV/AIDS are still considerably large due to the inclusion of mental health. Integrating mental health in a utility maximization framework helps us quantify these costs

Negative Reality of the HIV Positives: Evaluating Welfare Loss in a Low Prevalence Country

Using primary household data from India we estimate family utility function parameters that measure the relative importance of consumption, schooling of children and health (both physical and mental) and find that mental health is far more important than consumption or children’s schooling in determining household utility. We then estimate that the monetary equivalent of the welfare loss to an HIV family is Rs. 66,039 per month, whereas the losses to an HIV male and female are Rs. 67,601 and Rs. 65,120 per month respectively. These figures are huge given that the average per capita consumption expenditure of the families in our sample is just Rs. 1,019 per month. This huge magnitude is not surprising as it includes private valuation of one’s own life as well as the cost of stigma for being HIV positive. In addition, the annual loss from external transfers (through debt, sale of assets and social insurance) accounts for 2.6% of annual health expenditure and 0.12% of GDP in 2004. The significance of mental health in welfare evaluation can be gauged from the fact that, for an average HIV family, a whopping 74% of the welfare loss comes from aspects of mental health

Integrating Mental Health in Welfare Evaluation: An Empirical Application

This paper presents simple measures of individual and family mental health indices based on axiomatic foundations and integrates mental health into a neoclassical model that allows for proper substitution possibilities in the family preferences and quantifies its significance in family utility. We find that mental health effects are far more important than the effect of consumption or children’s schooling in determining family utility. We illustrate the usefulness of our approach by considering the case of HIV/AIDS experience in India. Using our approach, we find that while there are no significant differences in per capita consumption and schooling between HIV and NON HIV families, the cost of HIV/AIDS are still considerably large due to the inclusion of mental health. Integrating mental health in a utility maximization framework helps us quantify these costs

Negative Reality of the HIV Positives: Evaluating Welfare Loss in a Low Prevalence Country

Using primary household data from India we estimate family utility function parameters that measure the relative importance of consumption, schooling of children and health (both physical and mental) and find that mental health is far more important than consumption or children’s schooling in determining household utility. We then estimate that the monetary equivalent of the welfare loss to an HIV family is Rs. 66,039 per month, whereas the losses to an HIV male and female are Rs. 67,601 and Rs. 65,120 per month respectively. These figures are huge given that the average per capita consumption expenditure of the families in our sample is just Rs. 1,019 per month. This huge magnitude is not surprising as it includes private valuation of one’s own life as well as the cost of stigma for being HIV positive. In addition, the annual loss from external transfers (through debt, sale of assets and social insurance) accounts for 2.6% of annual health expenditure and 0.12% of GDP in 2004. The significance of mental health in welfare evaluation can be gauged from the fact that, for an average HIV family, a whopping 74% of the welfare loss comes from aspects of mental health

Australasian Pigeon Circoviruses Demonstrate Natural Spillover Infection

Pigeon circovirus (PiCV) is considered to be genetically diverse, with a relatively small circular single-stranded DNA genome of 2 kb that encodes for a capsid protein (Cap) and a replication initiator protein (Rep). Australasia is known to be the origin of diverse species of the Order Columbiformes, but limited data on the PiCV genome sequence has hindered phylogeographic studies in this species. To fill this gap, this study was conducted to investigate PiCV in 118 characteristic samples from different birds across Australia using PCR and sequencing. Eighteen partial PiCV Rep sequences and one complete PiCV genome sequence were recovered from reservoir and aberrant hosts. Phylogenetic analyses revealed that PiCV circulating in Australia was scattered across three different subclades. Importantly, one subclade dominated within the PiCV sequenced from Australia and Poland, whereas other PiCV sequenced in this study were more closely related to the PiCV sequenced from China, USA and Japan. In addition, PiCV Rep sequences obtained from clinically affected plumed whistling duck, blue billed duck and Australian magpie demonstrated natural spillover of PiCV unveiled host generalist characteristics of the pigeon circovirus. These findings indicate that PiCV genomes circulating in Australia lack host adapted population structure but demonstrate natural spillover infection