The Influence of Climate Change on the Re-emergence of Malaria Using Artificial Intelligence
Studies in Big Data, ISSN: 2197-6511, Vol: 118, Page: 241-252
2023
- 3Citations
- 15Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Book Chapter Description
The potential epidemic of malaria disease in tropical areas that are already sensitive to such disease could rise due to climate change where malaria hinders Africa’s economic growth. About 90% of deaths occurred in Africa, where ecosystem and climate conditions promote malaria-transmitting insects. Various malaria epidemic prediction systems have been established to limit disease outbreaks in some African nations. Although, better models with higher forecast abilities based on non-seasonal climatic factors are needed. Climate variables (precipitation, temperature and surface radiation) play an important role in the occurrence of malaria. This work climate demonstrates variability in classifying malaria incidence in six Sub-Saharan African nations over 28 years from previous work. An early detection system has been developed to monitor the spread of malaria. When it comes to public health, new data-driven knowledge discovery systems could help public health professionals to understand how climate change affects health, build relevant preventive and adaptive measures to save lives.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85150207463&origin=inward; http://dx.doi.org/10.1007/978-3-031-22456-0_14; https://link.springer.com/10.1007/978-3-031-22456-0_14; https://dx.doi.org/10.1007/978-3-031-22456-0_14; https://link.springer.com/chapter/10.1007/978-3-031-22456-0_14
Springer Science and Business Media LLC
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