V. Ajay

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OBJECTIVE To estimate individual and household economic impact of cardiovascular disease (CVD) in selected low- and middle-income countries (LMIC). BACKGROUND Empirical evidence on the microeconomic consequences of CVD in LMIC is scarce. METHODS AND FINDINGS We surveyed 1,657 recently hospitalized CVD patients (66% male; mean age 55.8 years) from(More)
INTRODUCTION Health research is one mechanism to improve population-level health and should generally match the health needs of populations. However, there have been limited data to assess the trends in national-level cardiovascular research output, even as cardiovascular disease [CVD] has become the leading cause of morbidity and mortality worldwide. (More)
BACKGROUND Cardio-metabolic diseases (CMDs) are a growing public health problem, but data on incidence, trends, and costs in developing countries is scarce. Comprehensive and standardised surveillance for non-communicable diseases was recommended at the United Nations High-level meeting in 2011. AIMS To develop a model surveillance system for CMDs and(More)
Coronary heart diseases (CHD) have reached epidemic proportions among Indians. The recently concluded INTERHEART study emphasizes the role of behavioural and conventional risk factors in the prediction of CHD risk among Indians. These findings have implication for the health care providers and policy makers in the country due to the fact that all these(More)
Recently Sandor Szedmak and John Shawe-Taylor [1] showed that Multiclass Support Vector Machines can be implemented with single class complexity. In this paper we show that computational complexity of their algorithm can be further reduced by modelling the problem as a Multiclass Proximal Support Vector Machines. The new formulation requires only a linear(More)
India is experiencing an alarming rise in the burden of noncommunicable diseases, but data on the incidence of chronic kidney disease (CKD) are sparse. Using the Center for Cardiometabolic Risk Reduction in South Asia surveillance study (a population-based survey of Delhi and Chennai, India) we estimated overall, and age-, sex-, city-, and diabetes-specific(More)
BACKGROUND Tobacco burdens in India and Pakistan require continued efforts to quantify tobacco use and its impacts. We examined the prevalence and sociodemographic and health-related correlates of tobacco use in Delhi, Chennai (India), and Karachi (Pakistan). METHODS Analysis of representative surveys of 11,260 participants (selected through multistage(More)
BACKGROUND Cardiovascular research output and citations of publications from Africa have historically been low yet may be increasing. However, data from the continent are limited. METHODS AND RESULTS To evaluate the cardiovascular research output and citations from 52 African countries between 1999 and 2008, we created a bibliometric filter to capture(More)
Heart failure (HF) is a major cause of morbidity and mortality in high income countries. Shortage of population based HF studies from Low and Middle Income countries (LMIC) make global prevalence estimates difficult. In this editorial we discuss the possibility of generating HF data in LMICs by initiating HF surveillance systems integrated into the existing(More)
India is experiencing an alarming rise in the burden of non-communicable diseases, but data on the incidence of chronic kidney disease (CKD) are sparse. Using the Center for Cardiometabolic Risk Reduction in South Asia surveillance study (a population-based survey of Delhi and Chennai, India) we estimated overall, and age-, sex-, city-, and(More)