Predicting malaria outbreaks using earth observation measurements and spatiotemporal deep learning modelling: a South Asian case study from 2000 to 2017
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... We propose to harness current breakthroughs in Earth-observation (EO) technology, which provides the ability to generate accurate, up-to-date, publicly accessible, and reliable data, which is required for equitable access planning and resource allocation to ensure that safe medicines, vaccines, and other interventions reach everyone, particularly those in greatest need, during normal times [27,7]. This data can also be used in emergency scenarios such as pandemics and natural catastrophes, which disproportionately affect underserved groups [17]. Therefore, this data creation can help identify requirements and track progress towards increasing equal access to healthcare worldwide. ...
Primary healthcare is a crucial strategy for achieving universal health coverage. South Asian countries are working to improve their primary healthcare system through their country specific policies designed in line with WHO health system framework using the six thematic pillars: Health Financing, Health Service delivery, Human Resource for Health, Health Information Systems, Governance, Essential Medicines and Technology, and an addition area of Cross-Sectoral Linkages. Measuring the current accessibility of healthcare facilities and workforce availability is essential for improving healthcare standards and achieving universal health coverage in developing countries. Data-driven surveillance approaches are required that can provide rapid, reliable, and geographically scalable solutions to understand a) which communities and areas are most at risk of inequitable access and when, b) what barriers to health access exist, and c) how they can be overcome in ways tailored to the specific challenges faced by individual communities. We propose to harness current breakthroughs in Earth-observation (EO) technology, which provide the ability to generate accurate, up-to-date, publicly accessible, and reliable data, which is necessary for equitable access planning and resource allocation to ensure that vaccines, and other interventions reach everyone, particularly those in greatest need, during normal and crisis times. This requires collaboration among countries to identify evidence based solutions to shape health policy and interventions, and drive innovations and research in the region.
OECD states, "Data - driven innovation is a key pillar in the growth of the economy… data sets are becoming an important asset in the economy, helping new industries, processes, and products and creating significant competitive advantages. " In the global pursuit of economic growth and societal progress, data - driven innovation has become a foundational pillar in the 21st century. This paper explores the intersection of data - driven innovation and poverty reduction, highlighting how comprehensive data analysis—from surveys and censuses to administrative records - provides critical insights into the complex landscape of poverty. The paper talks about traditional and modern data collection and analysis and the impact of real - world analytics on poverty alleviation. The paper also sheds light on how climate change and poverty are interlinked and how data can help mitigate climate change. It also touches upon the rise of AI and how it can transform policymaking as we know it.