BackgroundThe Internet has become a ubiquitous venue for information seeking, especially for health information. Public health practitioners have noticed the promise and potential of the Internet, however, little is known about individuals' skills of their eHealth literacy. The eHealth Literacy Scale, eHEALS, was designed to measure perceptions of individuals' eHealth literacy skills.ObjectiveThe objective of the study was to examine the psychometric validity and reliability of the eHEALS with two adult populations using the Rasch Model.MethodsA college-aged sample and an Internet-based sample (Amazon's MTurk) were recruited to complete the eHEALS, demographic questions, and a health literacy scale. Using WINSTEPS and SPSS, unidimensionality, item fit, rating scale, item hierarchy, person ability-item match, and reliability were analyzed, compared, and contrasted against each sample and to other samples found in the literature.ResultsAn exploratory factor analysis supported unidimensionality in both samples. More than 90% of respondents from both samples fit the model. No items were outright misfitting. Both samples separated into three distinct groups.ConclusionsBased on the results, the eHEALS is a reliable and consistent measurement tool for a college sample and an Internet-based sample. As these individuals are most likely to use the Internet as a health resource, it is necessary to learn and know their skills versus perceiving that they can critically and successfully navigate the Internet. Further analyses are necessary to ensure that the eHEALS can serve as a standard eHealth literacy measure for public health.

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Frequent turnover of employees began from the last century, increased further with the inception of turnover-prone millennial employees and is likely to continue in the future. This study used expectation–confirmation theory and Herzberg’s two-factor theory as the underpinning theory. Its calibrated factors such as transformational leadership, stress reduction, and compensation and rewards that affect employee retention mediating through job embeddedness. A simple random sampling technique was utilized while selecting the respondents from millennial employees in private sectors. For developing the model, Smart Partial Least Square (PLS) was applied for path modelling, measurement models as well as for bootstrapping while testing the hypotheses. The study found that all these factors have got a significant positive relationship as predicted. This study has got numerous contributions, which are beneficial for all stakeholders of private industries. Although the enormous studies have been carried out in the Western context, the problem of frequent millennial turnover remains unresolved both in the West and in non-Western context. Practically, the study will be helpful for all against the frequent turnover and its losses. The paucity of studies on transformational leadership, stress reduction, compensation and rewards, and the retention of millennial employees in a developing country’s context made this research more significant and relevant. The mediating role of job embeddedness was also found to be significant in this relationship. Finally, the study was found to have implications for all stakeholders and future researchers.

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Numerous studies on climate change and variability have revealed that these phenomena have noticeable influence on the epidemiology of dengue fever, and such relationships are complex due to the role of the vector—the Aedes mosquitoes. By undertaking a step-by-step approach, the present study examined the effects of climatic factors on vector abundance and subsequent effects on dengue cases of Dhaka city, Bangladesh. Here, we first analyzed the time-series of Stegomyia indices for Aedes mosquitoes in relation to temperature, rainfall and relative humidity for 2002–2013, and then in relation to reported dengue cases in Dhaka. These data were analyzed at three sequential stages using the generalized linear model (GLM) and generalized additive model (GAM). Results revealed strong evidence that an increase in Aedes abundance is associated with the rise in temperature, relative humidity, and rainfall during the monsoon months, that turns into subsequent increases in dengue incidence. Further we found that (i) the mean rainfall and the lag mean rainfall were significantly related to Container Index, and (ii) the Breteau Index was significantly related to the mean relative humidity and mean rainfall. The relationships of dengue cases with Stegomyia indices and with the mean relative humidity, and the lag mean rainfall were highly significant. In examining longitudinal (2001–2013) data, we found significant evidence of time lag between mean rainfall and dengue cases.