Happiness in Old Age: The Daughter Connection.

Family and intergenerational relationships are becoming increasingly important as sources of support and care for the elderly population in rapidly ageing Asian societies. However, this has also raised concerns over reinforcement of cultural preference for sons as a source of old-age security. This paper therefore revisits the question-what determines happiness in old age-by investigating the role of adult children's gender in the context of Thailand, an ageing Asian country with no legacy of sex-preference in fertility.

Should Social Pensions be Universal or Targeted? Older Persons' Preferences over the Old-Age Allowance System in Thailand.

There are continued debates on whether social pensions should be universal or targeted. This paper investigates this issue from the perspectives of Thai older persons regarding the old-age allowance system. The paper uses data from the 2016 Population Change and Well-being in the Context of Aging Society Project with the final sample of 6,040 individuals aged 60 and older.

Women's education and desire for additional children in Vietnam: regional differences and the role of son preference.

This paper investigates the relationship between women's education and desire for additional children across the six economic regions of Vietnam. The study employed data from the nationally representative Vietnam Multiple Indicator Cluster Survey (MICS) 2014. Probit regression results showed that for women with one child, higher levels of education were associated with higher fertility desire in two out of six regions.

Sex-Composition of Living Children and Women's Fertility Desire in Vietnam.

To investigate the relationship between sex-composition of children and women's fertility desire in Vietnam. Using data from the 2014 Vietnam Multiple Indicator Cluster Survey (MICS), we investigate the association between sex composition of children and desire for additional children among women in reproductive age (15 to 49 years) across Vietnam (N=5,605). Multivariate logistic regression models showed statistically significant association between sex composition of children and women's fertility desire, after controlling for social norms of fertility preference, demographic and socioeconomic factors.

Modeling household dynamics on Respiratory Syncytial Virus (RSV).

Respiratory Syncytial Virus (RSV) is the most common cause of respiratory tract infection in infants and children and shows increasing trend among elderly people worldwide. In many developing country settings, population and household structures have gone through some significant changes in the past decades, namely fewer births, more elderly population, and smaller household size but more RSV high-risk individuals. These dynamics have been captured in a mathematical model with RSV transmission dynamics to predict the disease burden on the detailed population for future targeted interventions.

A Population Dynamic Model to Assess the Diabetes Screening and Reporting Programs and Project the Burden of Undiagnosed Diabetes in Thailand.

Diabetes mellitus (DM) is rising worldwide, exacerbated by aging populations. We estimated and predicted the diabetes burden and mortality due to undiagnosed diabetes together with screening program efficacy and reporting completeness in Thailand, in the context of demographic changes. An age and sex structured dynamic model including demographic and diagnostic processes was constructed.

Modelling population dynamics and seasonal movement to assess and predict the burden of melioidosis.

Background: Melioidosis is an infectious disease that is transmitted mainly through contact with contaminated soil or water, and exhibits marked seasonality in most settings, including Southeast Asia. In this study, we used mathematical modelling to examine the impacts of such demographic changes on melioidosis incidence, and to predict the disease burden in a developing country such as Thailand.

Methodology/principal Findings: A melioidosis infection model was constructed which included demographic data, diabetes mellitus (DM) prevalence, and melioidosis disease processes.