International Journal of Applied Research on Public Health Management
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Mental Health consists of a wide range of conditions affecting an individual’s behavior, mood, and thinking. A gap between providers and consumers exists due to the lack of resources available for online mental health access. Research shows limited information available for processing information and pursuing professional services to become healthy. The purpose of this literature review is to provide framework that contributes to Mental Health online access and improving digital therapy. Suggested approaches listed in addition to graphics that summarize the problem space and provide potential solutions.


Occupational driving has often been associated with a high prevalence of pain in the neck, shoulder, wrist/hand, back and knee. The present study was undertaken to find out the prevalence of musculoskeletal disorders and associated risk factors among long-distance truck drivers from Allahabad, Uttar Pradesh. A cross-sectional study was conducted with 108 long-distance truck drivers. They were interviewed and examined as per a pre-designed, pre-tested semi-structured interview questionnaire. Results indicate that 78% of long-distance truck drivers had musculoskeletal disorder. The most common symptoms were low back pain (40%) followed by shoulder pain (26%), knee pain (24%), and neck pain (20%). Age, education, addiction, years of work experience, hours of driving were significantly associated with musculoskeletal morbidity (P<0.001). Long-distance truck drivers with continued driving exposure have a high prevalence of a musculoskeletal disorder.


Quantitative researchers need a probabilistic sample to generalise their findings, but research constraints often compel them to use non-probabilistic samples. The use of non-probability sampling methods in quantitative studies has therefore become a norm. Interestingly, even studies published in top-quality journals compromise best practices that the use of non-probabilistic samples requires. Based on a thorough review of relevant studies, we developed a typology of non-probability sampling methods used in quantitative health studies. An attempt was made to discuss the limit of inference under each type of non-probability sampling method. Non-probability sampling in quantitative research was also delineated as a way to maximise response rate. This study is expected to guide students and early career epidemiologists to understand how to apply non-probabilistic sampling methods in quantitative approaches and plausibly document or report their chosen methods.


Spatial models of the β - structures of protein molecules, forming layers of amino acids, in principle, of unlimited length for both antiparallel and parallel conformation have been constructed. It is shown that the simplified flat Pauling models do not reflect the spatial structure of these layers. Using the recently developed theory of higher-dimensional polytopic prismahedrons, models of the volumetric filling of space with amino acid molecules are constructed. The constructed models for the first time mathematically describe the native structures of globular proteins.


Zoonotic diseases are characterized by significant morbidity and mortality in humans. In Nigeria, tragic effects of zoonotic diseases have been reported. This calls for a sustained collaboration among public health professionals to confront the ever-increasing challenges of managing zoonotic diseases. This study explores the perception of public health professionals about knowledge sharing and the absorptive capacity of health professionals in managing zoonotic diseases. Data were collected through a semi- structured interview. The analysis was done using qualitative content analysis. Findings revealed positive perception of public health professionals about knowledge sharing in managing zoonotic. Also, the study found that Public Health professionals acquire external knowledge for managing zoonotic disease through multidisciplinary networks and professional associations. The One Health initiative is one avenue where public health professionals can leverage on the strength and capacities of each other to respond competently to emerging health threats of zoonotic diseases.


This article presents a brief overview of the Affordable Care Act (ACA) and changes ushered into the health care system by the Act. The overview is followed by arguments for and against the ACA, integrating and situating the divergent arguments within the context of both democratic and conservative standpoints on health care policy. Furthermore, the article explores the possibility of identifying factors responsible for the seeming difficulty in transiting policy from agenda status to adoption in a democratic system of governance. The article concludes with suggestions on ways and strategies that can help in bridging the ostensible gap between divergent positions, with the hope of charting the course to the desired destination of an equitable and sustainable health care policy for the United States.


Rising threat of the global pandemic COVID 19 has become the major cause of concern among nations worldwide. The appalling pandemic has aggravated the global health of people making normal life come to a virtual standstill. The purpose of this study is to investigate and compare the similarities and differences between the previous global pandemic outbreak SARS-COV-1 with that of COVID 19. It makes use of a bioinformatic approach to analyze why COVID 19 has made situations uncontrollable as opposed to that of SARS-COV-1 although both belong to the same coronavirus family. Discusses about the recent clinical trials that are being conducted to evaluate potential therapeutics to combat the deadly pandemic. There is currently no available vaccine for COVID 19. E The current status of COVID 19 research stands progressive in various areas of knowledge. Further studies based on emerging evidences are required to produce drugs which can slow down disease progression and improve survival.


Over the past decade, and especially after the scandals that occurred during the last economic recession, there has been a call for business leaders to pay attention not only to maximization of profit but also to corporate social responsibility (CSR). It is argued that responsible leadership can be an appropriate response to the diverse needs and challenges of a complex stakeholder society. The purpose of this explorative study was to investigate top business executives’ understanding of responsible leadership and their perceptions of CSR for stakeholders’ health and wellbeing. Key informant interviews were conducted with ten business executives representing a variety of sectors in East Central Sweden. Content analysis was conducted to detect patterns and categories in the data. business executives understood the role of a responsible leader to involve contribution, inclusiveness, and the creation of community and structure. They viewed CSR and stakeholders’ health and wellbeing largely from an organizational point of view, including their own.


As the nation battles COVID-19, we analyze the policy and tactics required to follow the recommendations of scientists and health professionals to achieve physical and psychological well-being by wearing masks to slow the spread of the SARS-CoV-2. An online survey from a business-focused social media network is employed to understand the issues for and against mask wearing. The survey findings showed that 60% of organizations have created some kind of health pact, pledge, or commitment and that most plans identified impact everyone who interacts with a business, not just employees. The findings do not shed much light on what drives people to opt out of mask wearing. The practical findings are that there is a need for achieving, understanding, and subsequent buy in of mask wearing that would be helped with a solid plan. The limitations of the research are primarily the small size of the convenience sample and the fact that the population may be restricted. Replication of this type of study with a formal, qualitative approach aimed at populations of interest is highly recommended.


In developing countries, many health workers force pregnant women in private hospitals having baby through cesarean delivery, even though most pregnant mothers are skeptical about the risk of going under such operations. Doctors often encourage pregnant mothers to have a cesarean on the basis of their physical condition and medical reports. Emergency cesarean patient cannot be prepared in advance but on real time, If a system can be developed that can forecast whether a woman need natural or cesarean delivery, then rate of the risk of the pregnant women get reduce. To design such system, we need to know what factors influences the doctors to choose cesarean over normal delivery. We have conducted a systematic review in well-known databases to understand the various factors of pregnant mothers. A total of 19 studies were selected among 2512 studies based on the relevancy to the research objective. The objective of this study is to predict the mode of delivery based on 10 specific parameters identified separately from 180 parameters present in various test reports.


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