Who can handle public health datasets?
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In my country, India, public health datasets are stored and handled by the Ministry of Health and Family Welfare. They’re collected at primary health centers, clinics, and dispensaries through various methods, such as self-reported surveys, household surveys, etc. The data is then collected, entered into electronic databases, and analyzed. On the one hand, the data collection process is straightforward and transparent. On the other hand, the analytical process is time-consuming, expensive, and prone to human error. But it’
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Public health datasets have many features that are unique and important for researchers. With large and complex datasets, this task is not just to collect and organize data, but also to make an informed decision. The goal is to answer research questions or make predictions by studying the dataset’s characteristics, such as its size, type, structure, content, and distribution. Therefore, public health data should be handled by individuals who are experts in data handling and knowledge of data structures. However, who can do this job, who is the best, who is affordable? Learn More My personal experience and honest
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In today’s fast-paced world, businesses are rapidly increasing the amount of personal information they collect. For many, this personal information includes medical histories, social media profiles, phone records, and other sensitive data. This data can be leveraged for malicious purposes or abuse, and for businesses to understand a customer’s likelihood of a certain behavior. Public health datasets are one such data source that can help inform businesses and policymakers. These datasets have been collected through research, surveys, and other means. The National Institute of Health’s [
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“The public health sector is under significant strain as the country tackles challenges like pandemics, climate change, and natural disasters. Public health datasets, particularly those related to public health incidents, have become critical in tackling these challenges. They can give a comprehensive view of the spread of disease, the severity of the outbreak, and the impact of public health measures.” But I forgot about one little thing: “The public health sector is also under the immense pressure of managing public data. Public data repositories are becoming more popular with the
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Today, public health departments have their own database of patient data. These databases may contain records from people who contracted COVID-19, people with heart disease, asthma, or some other chronic condition. However, these data are not standardized or controlled by public health professionals. The data is collected by the database’s provider, and the database owner has no control over the accuracy or completeness of the data. This makes public health departments struggle to access, clean and use this data for their own purposes. There
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In the age of digital and cloud-based health records, public health datasets are crucial for scientific research, monitoring health outcomes, and tracking disease trends. Yet, the sheer number of data points required by public health experts is staggering. According to the National Institutes of Health, there are currently over 5 million health data points in the USA alone. In Europe, 1 billion health data points are held by national data repositories. In Africa, as many as 1 million health records are being captured in a single day! But managing health data