scholarly journals Emerging issues in water and health research

2006 ◽  
Vol 4 (S1) ◽  
pp. 59-65 ◽  
Author(s):  
Tim Ford
Keyword(s):  
Population Health ◽  
International Organizations ◽  
Health Research ◽  
Hepatitis A ◽  
Viral Diseases ◽  
Bacterial Diseases ◽  
E Coli ◽  
Emerging Issues ◽  
Developed Nations ◽  
And Training

In the less developed nations, hygiene and sanitation remain overriding factors in population health and the burden of waterborne disease. Both morbidity and mortality from diseases, such as cholera, remain high, but the overwhelming burden of diarrhoeal diseases inevitably goes undiagnosed. Enterotoxic E. coli, shigellosis and campylobacteriosis are prevalent amongst bacterial diseases and giardiasis is often diagnosed among protozoan diseases. In terms of viral diseases, hepatitis A is frequently associated with water and rotavirus, and more recently norovirus, infections are suspected to be major causes of gastroenteritis, although they are seldom diagnosed. From the perspective of research and training, and despite the efforts of major international organizations, effective programs that teach basic hygiene and sanitation remain elusive.

scholarly journals Inclusion of Children with Disabilities in Disaster Management

Children ◽  
2021 ◽  
Vol 8 (7) ◽  
pp. 581
Author(s):  
Jeong-Hun Jang ◽  
Kyoo-Man Ha
Keyword(s):  
Disaster Management ◽  
International Organizations ◽  
Children With Disabilities ◽  
Qualitative Content Analysis ◽  
Disaster Medicine ◽  
Implementation Stages ◽  
The Individual ◽  
Comprehensive Framework ◽  
Developed Nations ◽  
Medicine Education

Disability inclusion of children in disaster management means to identify and then eliminate the challenges faced by children with disabilities during disaster occurrence. The present research aimed to explore how the challenges of children with disabilities can be resolved in disaster management. Qualitative content analysis was used to compare individual-stakeholder-based disaster management with all-stakeholder disaster management considering three stakeholders: developed nations, developing nations, and international organizations. A key finding is that these stakeholders must shift from the individual-stakeholder-based approach to the all-stakeholders approach while enhancing disaster medicine, education, monitoring, and implementation stages. A comprehensive framework of disability inclusion is proposed to reflect effective disaster management for these children.

scholarly journals Assessing and piloting interoperability for population health research

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
F Estupiñán-Romero ◽  
J Gonzalez-García ◽  
E Bernal-Delgado
Keyword(s):  
Case Studies ◽  
Population Health ◽  
Health Research ◽  
Network Architecture ◽  
Digital Health ◽  
Data Extraction ◽  
Health Data ◽  
Research Network ◽  
Technical Solution ◽  
Privacy And Security

Abstract Issue/problem Interoperability is paramount when reusing health data from multiple data sources and becomes vital when the scope is cross-national. We aimed at piloting interoperability solutions building on three case studies relevant to population health research. Interoperability lies on four pillars; so: a) Legal frame (i.e., compliance with the GDPR, privacy- and security-by-design, and ethical standards); b) Organizational structure (e.g., availability and access to digital health data and governance of health information systems); c) Semantic developments (e.g., existence of metadata, availability of standards, data quality issues, coherence between data models and research purposes); and, d) Technical environment (e.g., how well documented are data processes, which are the dependencies linked to software components or alignment to standards). Results We have developed a federated research network architecture with 10 hubs each from a different country. This architecture has implied: a) the design of the data model that address the research questions; b) developing, distributing and deploying scripts for data extraction, transformation and analysis; and, c) retrieving the shared results for comparison or pooled meta-analysis. Lessons The development of a federated architecture for population health research is a technical solution that allows full compliance with interoperability pillars. The deployment of this type of solution where data remain in house under the governance and legal requirements of the data owners, and scripts for data extraction and analysis are shared across hubs, requires the implementation of capacity building measures. Key messages Population health research will benefit from the development of federated architectures that provide solutions to interoperability challenges. Case studies conducted within InfAct are providing valuable lessons to advance the design of a future pan-European research infrastructure.

scholarly journals Conducting Population Health Research during the COVID-19 Pandemic: Impacts and Recommendations

2021 ◽  
Vol 13 (6) ◽  
pp. 3320
Author(s):  
Amy R. Villarosa ◽  
Lucie M. Ramjan ◽  
Della Maneze ◽  
Ajesh George
Keyword(s):  
Data Collection ◽  
Health Services ◽  
Data Quality ◽  
Population Health ◽  
Health Research ◽  
Alternative Methods ◽  
Residential Aged Care ◽  
Recruitment Methods ◽  
Face To Face ◽  
The Impact

The COVID-19 pandemic has resulted in many changes, including restrictions on indoor gatherings and visitation to residential aged care facilities, hospitals and certain communities. Coupled with potential restrictions imposed by health services and academic institutions, these changes may significantly impact the conduct of population health research. However, the continuance of population health research is beneficial for the provision of health services and sometimes imperative. This paper discusses the impact of COVID-19 restrictions on the conduct of population health research. This discussion unveils important ethical considerations, as well as potential impacts on recruitment methods, face-to-face data collection, data quality and validity. In addition, this paper explores potential recruitment and data collection methods that could replace face-to-face methods. The discussion is accompanied by reflections on the challenges experienced by the authors in their own research at an oral health service during the COVID-19 pandemic and alternative methods that were utilised in place of face-to-face methods. This paper concludes that, although COVID-19 presents challenges to the conduct of population health research, there is a range of alternative methods to face-to-face recruitment and data collection. These alternative methods should be considered in light of project aims to ensure data quality is not compromised.

Population Health and Social Governance: A Review, an Update, Some Clarifications, and a Response

2018 ◽  
Vol 29 (5) ◽  
pp. 731-738 ◽  
Author(s):  
Patrick O’Byrne
Keyword(s):  
Critical Theory ◽  
Population Health ◽  
Health Research ◽  
Theory And Practice ◽  
Research Approach ◽  
Qualitative Health Research ◽  
Social Governance ◽  
Depth Study ◽  
And Control

Critical theory is a paradigm that promotes viewpoints that are alternative and, at times, contrary to mainstream beliefs and dictates. In 2012, I adopted this perspective to review the role of ethnography and surmised that the data which arise from this research approach, which I described as an in-depth study of cultures, can be used to discipline and control these groups. In this edition of Qualitative Health Research, another author has critiqued this position. In this article, I review this critique, reiterate my position, update the data I used for my 2012 article, and highlight how I navigate what I feel is a tension between critical theory and practice.

scholarly journals Prevalence of poultry diseases in Gazipur district of Bangladesh

2016 ◽  
Vol 2 (1) ◽  
pp. 107-112 ◽  
Author(s):  
Md Kamrul Hassan ◽  
Md Humayun Kabir ◽  
Md Abdullah Al Hasan ◽  
Shobnom Sultana ◽  
Md Shohidul Islam Khokon ◽  
...  
Keyword(s):  
Newcastle Disease ◽  
Clinical Signs ◽  
Infectious Bursal Disease ◽  
Viral Diseases ◽  
Necrotic Enteritis ◽  
Age Group ◽  
Bacterial Diseases ◽  
Infectious Bronchitis ◽  
Prevalent Disease ◽  
Bursal Disease

This study was designed with a view to investigate the prevalence of poultry diseases in Gazipur district of Bangladesh. A total of 679 poultry birds (313 layers, 338 broilers and 28 cockrels) either dead or live were brought for diagnosis of diseases at Gazipur Sadar Upazilla Veterinary Hospital. The diseases were diagnosed on the basis of history, clinical signs and post-mortem findings. The diseases encountered in layers were bacterial diseases 52.29% (salmonellosis 38.56%, colibacillosis 6.7%, fowl cholera 4.79% and necrotic enteritis 1.60%), viral diseases 23.95% (avian influenza 2.56%, Newcastle disease 16.61%, infectious bronchitis 3.19% and avian leucosis 0.64%), mycoplasmal disease (mycoplasmosis 14.70%) and protozoal disease (coccidiosis 5.75%). Salmonellosis was most prevalent disease in age group of >20 weeks, while Newcastle disease most common in 8 to 20 weeks of age group. In case of broiler, bacterial diseases 28.99% (salmonellosis 21.30% and colibacillosis 7.69%), viral diseases 53.24% (infectious bursal disease 28.99%, Newcastle disease 8.87% and infectious bronchitis 15.38%), mycoplasmal disease (mycoplasmosis 7.1%) and protozoal disease (coccidiosis 6.5%). In cockrels, the most prevalent disease was colibacillosis 35.71% followed by salmonellosis 28.57%, Newcastle disease 14.28% and mycoplasmosis14.28%. So among the diseases, salmonellosis is most prevalent disease followed by infectious bursal disease and mycoplasmosis in different kinds of poultry of Gazipur district of Bangladesh.Asian J. Med. Biol. Res. March 2016, 2(1): 107-112

scholarly journals Critical race theory as theoretical framework and analysis tool for population health research

2011 ◽  
Vol 21 (1) ◽  
pp. 81-93 ◽  
Author(s):  
Louis Graham ◽  
Shelly Brown-Jeffy ◽  
Robert Aronson ◽  
Charles Stephens
Keyword(s):  
Critical Race Theory ◽  
Population Health ◽  
Health Research ◽  
Theoretical Framework ◽  
Analysis Tool ◽  
Critical Race ◽  
Race Theory

scholarly journals The SMART Framework: Integration of Citizen Science, Community-Based Participatory Research, and Systems Science for Population Health Science in the Digital Age (Preprint)

2019 ◽  
Author(s):  
Tarun Reddy Katapally
Keyword(s):  
Big Data ◽  
Population Health ◽  
Citizen Science ◽  
Participatory Research ◽  
Health Research ◽  
Community Based Participatory Research ◽  
Health Science ◽  
Systems Science ◽  
Community Based ◽  
Science Community

UNSTRUCTURED Citizen science enables citizens to actively contribute to all aspects of the research process, from conceptualization and data collection, to knowledge translation and evaluation. Citizen science is gradually emerging as a pertinent approach in population health research. Given that citizen science has intrinsic links with community-based research, where participatory action drives the research agenda, these two approaches could be integrated to address complex population health issues. Community-based participatory research has a strong record of application across multiple disciplines and sectors to address health inequities. Citizen science can use the structure of community-based participatory research to take local approaches of problem solving to a global scale, because citizen science emerged through individual environmental activism that is not limited by geography. This synergy has significant implications for population health research if combined with systems science, which can offer theoretical and methodological strength to citizen science and community-based participatory research. Systems science applies a holistic perspective to understand the complex mechanisms underlying causal relationships within and between systems, as it goes beyond linear relationships by utilizing big data–driven advanced computational models. However, to truly integrate citizen science, community-based participatory research, and systems science, it is time to realize the power of ubiquitous digital tools, such as smartphones, for connecting us all and providing big data. Smartphones have the potential to not only create equity by providing a voice to disenfranchised citizens but smartphone-based apps also have the reach and power to source big data to inform policies. An imminent challenge in legitimizing citizen science is minimizing bias, which can be achieved by standardizing methods and enhancing data quality—a rigorous process that requires researchers to collaborate with citizen scientists utilizing the principles of community-based participatory research action. This study advances SMART, an evidence-based framework that integrates citizen science, community-based participatory research, and systems science through ubiquitous tools by addressing core challenges such as citizen engagement, data management, and internet inequity to legitimize this integration.

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