Big data developing countries

BACKGROUND: Antibiotic resistance (ABR) is a major public health issue, associated with increased patient morbidity and mortality globally, with significantly higher rates in low- and middle-income countries (LMICs). Assessment of contextual factors, such as information, education, infrastructure and regulations are important for developing local solutions against ABR. OBJECTIVES: To determine the knowledge and practices of healthcare workers (HCWs) towards ABR in hospitals in Sudan...

In the era of big data in human genetics, large-scale biobanks aggregating genetic data from diverse populations have emerged as important for advancing our understanding of human health and disease. However, the computational and storage demands of whole genome sequencing (WGS) studies pose significant challenges, especially for researchers from underfunded institutions or developing countries, creating a disparity in research capabilities. We introduce new approaches that significantly enhance computational efficiency and reduce data storage requirements for WGS studies...

interRAI provides a suite of standardized, validated instruments used to assess health and psychosocial well-being, and to inform person-centered care planning. Data obtained from these standardized tools can also be used at a population level for research and to inform policy, and interRAI is currently used in more than 40 countries globally. We present a brief overview of the use of interRAI internationally within research and policy settings, and then introduce how interRAI is used within the universal public health system in Aotearoa New Zealand (NZ), including considerations relating to Māori, the Indigenous people of NZ...

BACKGROUND: Children form the most vulnerable strata of the society and the tobacco industry is known to target them. Article 16 of the Framework Convention of Tobacco Control (FCTC) calls for prohibition of tobacco sales to and by minors. Although interventions to stop such sales are based on sound science, it is widely acknowledged that many countries find implementation, full of challenges. In India, sales near educational institutions are banned by law, Section 6b of the Cigarettes & Other Tobacco Products Act (COTPA)...

BACKGROUNDS: With the advent of the big data era, hospital information systems and mobile care systems, among others, generate massive amounts of medical data. Data mining, as a powerful information processing technology, can discover non-obvious information by processing large-scale data and analyzing them in multiple dimensions. How to find the effective information hidden in the database and apply it to nursing clinical practice has received more and more attention from nursing researchers...

Peanut is an important cash crop used in oil, food and feed in our country. The rapid development of sequencing technology has promoted the research on the related aspects of peanut genetic breeding. This paper reviews the research progress of peanut origin and evolution, genetic breeding, molecular markers and their applications, genomics, QTL mapping and genome selection techniques. The main problems of molecular genetic breeding in peanut research worldwide include: the narrow genetic resources of cultivated species, unstable genetic transformation and unclear molecular mechanism of important agronomic traits...

Parkinson's Disease (PD) is a progressive neurodegenerative illness triggered by decreased dopamine secretion. Deep Learning (DL) has gained substantial attention in PD diagnosis research, with an increase in the number of published papers in this discipline. PD detection using DL has presented more promising outcomes as compared with common machine learning approaches. This article aims to conduct a bibliometric analysis and a literature review focusing on the prominent developments taking place in this area...

The sanctity of the doctor-patient relationship is deeply embedded in tradition - the Hippocratic oath, medical ethics, professional codes of conduct, and legislation - all of which are being disrupted by big data and 'artificial' intelligence (AI). The transition from paper-based records to electronic health records, wearables, mobile health applications and mobile phone data has created new opportunities to scale up data collection. Databases of unimaginable magnitude can be harnessed to develop algorithms for AI and to refine machine learning...

WHAT IS ALREADY KNOWN ABOUT THIS TOPIC?: With the assistance of the internet, big data, cloud computing, and other technologies, the concept of smart elderly care has emerged. WHAT IS ADDED BY THIS REPORT?: This study presents information on the countries or regions that have conducted research on smart elderly care, as well as identifies global hotspots and development trends in this field. WHAT ARE THE IMPLICATIONS FOR PUBLIC HEALTH PRACTICE?: The results of this study suggest that future research should focus on fall detection, health monitoring, and guidance systems that are user-friendly and contribute to the creation of smarter safer communities for the well-being of the elderly...

Background: The COVID-19 pandemic has posed various difficulties for policymakers, such as the identification of health issues, establishment of policy priorities, formulation of regulations, and promotion of economic competitiveness. Evidence-based practices and data-driven decision-making have been recognized as valuable tools for improving the policymaking process. Nevertheless, due to the abundance of data, there is a need to develop sophisticated analytical techniques and tools to efficiently extract and analyze the data...

Introduction Diabetes mellitus (DM) has become a common disorder in India, and can be even considered as an epidemic in most developing countries. It usually adds a big burden on the economy through its macro and microvascular complications which often require hospitalisation. Glycated hemoglobin (HbA1c) is considered a well-established test to track long-term glycemic control, and hence can be used for both diagnosis and prognosis of disease. On the other hand, lipid profile is a significant marker of cardiovascular risks...

BACKGROUND: There is a dearth of research combining geographical big data on medical resource allocation and growth with various statistical data. Given the recent achievements of China in economic development and healthcare, this study takes China as an example to investigate the dynamic geographical distribution patterns of medical resources, utilizing data on healthcare resources from 290 cities in China, as well as economic and population-related data. The study aims to examine the correlation between economic growth and spatial distribution of medical resources, with the ultimate goal of providing evidence for promoting global health equity...

BACKGROUND: Globally, each year, about 3 million deaths among children are prevented by pentavalent vaccinations. However, in developing countries, particularly in Sub-Saharan Africa, pentavalent vaccination dropout rates are not well reported. Therefore, this study aimed to assess pentavalent vaccination dropout rates and their determinants among under-five children in Sub-Saharan Africa. METHODS: Data from the recent Demographic and Health Surveys in 33 Sub-Saharan African countries were used for analysis...

BACKGROUND: Diarrhea remains a leading cause of childhood illness throughout the world that is increasing due to climate change and is caused by various species of ecologically sensitive pathogens. The emerging Planetary Health movement emphasizes the interdependence of human health with natural systems, and much of its focus has been on infectious diseases and their interactions with environmental and human processes. Meanwhile, the era of big data has engendered a public appetite for interactive web-based dashboards for infectious diseases...

Non-small cell lung cancer (NSCLC) is the leading cause of cancer-related mortality among women and men, in developed countries, despite the public health interventions including tobacco-free campaigns, screening and early detection methods, recent therapeutic advances, and ongoing intense research on novel antineoplastic modalities. Targeting oncogenic driver mutations and immune checkpoint inhibition has indeed revolutionized NSCLC treatment, yet there still remains the unmet need for robust and standardized predictive biomarkers to accurately inform clinical decisions...

The actual literature highlights the importance of the socio-cultural context in the development of children. However, there is a lack of specific evidence about the middle East, especially regarding the development of Kurdish children who are living in a post-war scenario, in a country which is experiencing continuous instability due to the different crises. The main aim of this study is to identify the features of the motor development of Kurdish children according to parents' opinion. A comparison with Italian children is provided as a Western example, which reflects data from the literature...

OBJECTIVE: Understanding the causes of amputation is crucial for defining health policies that seek to avoid such an outcome, but only a few studies have investigated the epidemiology of patients submitted to amputations in developing countries. The objective of this study was to analyse all lower limb amputations performed in the public health system in Brazil over a 13 year period, evaluating trends in the number of cases, patient demographics, associated aetiologies, hospital length of stay, and in hospital mortality...

PURPOSE: The use of tobacco and cigarette products remains widespread globally, with varying patterns across countries. Understanding the factors influencing cigarette dependence among young adults is crucial for effective smoking prevention and control programs. Personality traits are one of the factors that influence smoking behaviour, yet the evidence on their role in high cigarette dependence among young adults remains inconclusive. This study aims to provide insights and initial evidence on the potential association between personality dimensions, sociodemographic factors, lifestyle habits, and high cigarette dependence among Lebanese university students...

Global change is currently impacting ecosystems and their contributions to people (i.e. ecosystem services). These impacts have consequences for societies and human well-being, especially in Africa. Historically, efforts have focused on assessing global change from a social or biophysical perspective, treating them as separate entities. Yet, our understanding of impacts to social-ecological systems remains limited, particularly in the Global South, due to a lack of data, tools, and approaches accounting for social and ecological aspects of ecosystem services...

BACKGROUND: The construction of a robust healthcare information system is fundamental to enhancing countries' capabilities in the surveillance and control of hepatitis B virus (HBV). Making use of China's rapidly expanding primary healthcare system, this innovative approach using big data and machine learning (ML) could help towards the World Health Organization's (WHO) HBV infection elimination goals of reaching 90% diagnosis and treatment rates by 2030. We aimed to develop and validate HBV detection models using routine clinical data to improve the detection of HBV and support the development of effective interventions to mitigate the impact of this disease in China...