Analyzing Preceding factors affecting behavioral intention on communicational artificial intelligence as an educational tool.

During the pandemic, artificial intelligence was employed and utilized by students around the globe. Students' conduct changed in a variety of ways when schooling returned to regular instruction. This study aimed to analyze the student's behavioral intention and actual academic use of communicational AI (CAI) as an educational tool.

Measuring quality of care for universal health coverage in the Western Pacific.

To deliver on the promise of universal health coverage, regions and countries need to invest in high-quality health systems and put quality of care at the forefront of priority setting and agenda. The Western Pacific Region and its member countries should establish measurements and standards to ensure delivery of high-quality services. In order to effectively do so, individual and system capacities to measure and use quality-of-care data should be strengthened, localized initiatives to develop quality-of-care measures of practice and policy relevance need to be carried out, accountability mechanisms should be in place, and the role of quality as a driver of better health outcomes and economic benefits should be emphasized among all stakeholders.

Automated Strategy Feedback Can Improve the Readability of Physicians' Electronic Communications to Simulated Patients.

Modern communication between health care professionals and patients increasingly relies upon secure messages (SMs) exchanged through an electronic patient portal. Despite the convenience of secure messaging, challenges include gaps between physician and patient expertise along with the asynchronous nature of such communication. Importantly, less readable SMs from physicians (e.

Quantifying the resilience of rapid transit systems: A composite index using a demand-weighted complex network model.

Quantifying the impact of disruptions on rapid transit resilience is crucial in transport planning. We propose a composite resilience score for rapid transit systems comprising four indicators that measure different physical aspects of resilience. These are computed using a weighted network model incorporating the network structure of stations, differences in line capacities, and travel demand.

Amenity counts significantly improve water consumption predictions.

Anticipating the increase in water demand in an urban area requires us to properly understand daily human movement driven by population size, land use, and amenity types among others. Mobility data from phones can capture human movement, but not only is this hard to obtain, but it also does not tell where the population is going. Previous studies have shown that amenity types can be used to predict people's movement patterns; thus, we propose using crowd-sourced amenity data and other open data sources as reasonable proxies for human mobility.

Typology, network features and damage response in worldwide urban road systems.

We survey the network properties and response to damage sustained of road networks of cities worldwide, using OpenStreetMap (OSM) data. We find that our primary damage response variable [Formula: see text], which is the average shortest time needed to reach all nodes in a road network (which stand in for locations within a metropolitan area) from an initial node (which stands in for the location of a center for disaster relief operations), is strongly linearly-correlated with pd, the fraction of the road network segments damaged. We find that this result, previously reported for a city's road network as opposed to grid and scale-free idealizations, is widely present across the road networks we have examined regardless of location.

Generalized radiation model for human migration.

One of the main problems in the study of human migration is predicting how many people will migrate from one place to another. An important model used for this problem is the radiation model for human migration, which models locations as attractors whose attractiveness is moderated by distance as well as attractiveness of neighboring locations. In the model, the measure used for attractiveness is population which is a proxy for economic opportunities and jobs.

Factors influencing job satisfaction among dentists during the new normal of the COVID-19 pandemic in Indonesia: A structural equation modeling approach.

Background: Dentistry is one of the highest risk occupations that face COVID-19, especially in countries that are severely affected by the pandemic, such as Indonesia.

Objective: The purpose of the study was to determine factors influencing job satisfaction among dentists during the new normal of COVID-19 pandemic in Indonesia by utilizing the Structural Equation Modeling (SEM) approach.

Methods: A total of 310 Indonesian dentists voluntary completed an online questionnaire, which contained 58 questions.

The Evaluation of Preference and Perceived Quality of Health Communication Icons Associated with COVID-19 Prevention Measures.

Icons have been widely utilized to describe and promote COVID-19 prevention measures. The purpose of this study was to analyze the preference and subjective design features of 133 existing icons associated with COVID-19 prevention measures published by the health and medical organizations of different countries. The 133 icons represent nineteen different function names, such as "Wash Hands" and "Wear Face Mask".

A unifying model to estimate the effect of heat stress in the human innate immunity during physical activities.

Public health is threatened by climate change and extreme temperature events worldwide. Differences in health predispositions, access to cooling infrastructure and occupation raises an issue of heat-related health inequality in those vulnerable and disadvantaged demographic groups. To address these issues, a comprehensive understanding of the effect of elevated body temperatures on human biological systems and overall health is urgently needed.

An analysis of network filtering methods to sovereign bond yields during COVID-19.

In this work, we investigate the impact of the COVID-19 pandemic on sovereign bond yields. We consider the temporal changes from financial correlations using network filtering methods. These methods consider a subset of links within the correlation matrix, which gives rise to a network structure.

Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach.

eLearning has been the medium of delivery of medical educational institutions to address the scarcity of medical professionals during the COVID-19 pandemic. In this study, the Unified Theory of Acceptance and Use of Technology (UTAUT2) was extended to determine the factors affecting the acceptance of eLearning platforms to medical education in the Philippines during the COVID-19 pandemic. A total of 360 medical students voluntary participated and answered an online questionnaire that consisted of 40 questions.

Novel vaccine safety issues and areas that would benefit from further research.

Vaccine licensure requires a very high safety standard and vaccines routinely used are very safe. Vaccine safety monitoring prelicensure and postlicensure enables continual assessment to ensure the benefits outweigh the risks and, when safety problems arise, they are quickly identified, characterised and further problems prevented when possible. We review five vaccine safety case studies: (1) dengue vaccine and enhanced dengue disease, (2) pandemic influenza vaccine and narcolepsy, (3) rotavirus vaccine and intussusception, (4) human papillomavirus vaccine and postural orthostatic tachycardia syndrome and complex regional pain syndrome, and (5) RTS,S/adjuvant system 01 malaria vaccine and meningitis, cerebral malaria, female mortality and rebound severe malaria.

Publisher Correction: Large-scale metabolic interaction network of the mouse and human gut microbiota.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Large-scale metabolic interaction network of the mouse and human gut microbiota.

The role of our gut microbiota in health and disease is largely attributed to the collective metabolic activities of the inhabitant microbes. A system-level framework of the microbial community structure, mediated through metabolite transport, would provide important insights into the complex microbe-microbe and host-microbe chemical interactions. This framework, if adaptable to both mouse and human systems, would be useful for mechanistic interpretations of the vast amounts of experimental data from gut microbiomes in murine animal models, whether humanized or not.

Vietnamese Public Health Practices in the Advent of the COVID-19 Pandemic: Lessons for Developing Countries.

The 2019 coronavirus disease (COVID-19) presents a great challenge to developing countries with limited access to public health measures in grassroots communities. The World Health Organization lauded the Vietnamese government for its proactive and steady investment in health facilities that mitigate the risk of the infectious disease in Vietnam. This short communication presents cases that could benchmark public health policies in developing countries.

Purpose-driven improvisation during organisational shocks: case narrative of three critical organisations and Typhoon Haiyan.

Disasters often produce elements of shock that may render pre-established plans for action limited or otherwise inapplicable to the current situation. Improvisation is considered to be a common response among organisations that operate in such turbulent environments. Despite the prevalence of such plans for action, existing research is reticent with regard to the processes concerning how improvisation relates to pre-established organisational goals.

Degree and centrality-based approaches in network-based variable selection: Insights from the Singapore Longitudinal Aging Study.

We describe a network-based method to obtain a subset of representative variables from clinical data of subjects of the second Singapore Longitudinal Aging Study (SLAS-2), while preserving to a good extent the predictive performance of the full set with regards to a multi-faceted index of successful aging, SAGE. To examine differences in predictive performance of high-degree nodes ("hubs") and high-centrality ones ("cores"), we implement four subsetting strategies (two degree-based, two centrality-based) and obtain four surrogate sets of variables, which we use as input features for machine learning models to predict the SAGE index of subjects. All four models have variables belonging to the physical, cardiovascular, cognitive and immunological domains among their fifteen most important predictors.

Estimating Biological Age in the Singapore Longitudinal Aging Study.

Background: Biological age (BA) is a more accurate measure of the rate of human aging than chronological age (CA). However, there is limited consensus regarding measures of BA in life span and healthspan.

Methods: This study investigated measurement sets of 68 physiological biomarkers using data from 2,844 Chinese Singaporeans in two age subgroups (55-70 and 71-94 years) in the Singapore Longitudinal Aging Study (SLAS-2) with 8-year follow-up frailty and mortality data.

On the privacy-conscientious use of mobile phone data.

The breadcrumbs we leave behind when using our mobile phones—who somebody calls, for how long, and from where—contain unprecedented insights about us and our societies. Researchers have compared the recent availability of large-scale behavioral datasets, such as the ones generated by mobile phones, to the invention of the microscope, giving rise to the new field of computational social science.

Vaccine confidence plummets in the Philippines following dengue vaccine scare: why it matters to pandemic preparedness.

In November 2017, it was announced that the new dengue vaccine ("Dengvaxia") had risks for those not previously exposed to dengue. While some countries proceeded with adjusting guidance accordingly, the Philippines reacted with outrage and political turmoil with naming and shaming of government officials involved in purchasing the vaccine, as well as scientists involved in the vaccine trials and assessment. The result was broken public trust around the dengue vaccine as well heightened anxiety around vaccines in general.