Sustainable Basic Science: New Avenues in Vector Biology and a Novel Artificial Intelligence Paradigm for Research in Public Health

Bishnu Goswami
Department of Zoology, The University of Burdwan, Burdwan, West Bengal, India

Ashis Kumar Panigrahi
The University of Burdwan, West Bengal, India

DOI: https://doi.org/10.52756/lbsopf.2024.e01.003

Keywords: hotspot, physicochemical, analysis, software, public health, mosquito, basic science

Abstract:
Sustainable research in basic science can be effected more fruitfully with an interdisciplinary scope with a focus on the needs of the general public and penetration to the rural and semirural users, especially in contexts such as public health. Here we have utilised a software based approach for detecting hotspots to curb the menace of mosquito borne diseases. The software module utilises Bongojontro Baksobandi software which was used extensively in past research. The highlights include scopes for incorporating transferable skills to its users, in addition to its primary role in basic research. The initial impression of using the software by high-school users of a rural school and local National Service Scheme (NSS) volunteers was very positive. Future proposals include the use of Artificial Intelligence (AI) models and a pedagogy paradigm for the future learners and researchers.

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How to Cite
Bishnu Goswami and Ashis Kumar Panigrahi (2024). Sustainable Basic Science: New Avenues in Vector Biology and a Novel Artificial Intelligence Paradigm for Research in Public Health. © International Academic Publishing House (IAPH), Dr. Somnath Das, Dr. Ashis Kumar Panigrahi, Dr. Rose Stiffin and Dr. Jayata Kumar Das (eds.), Life as Basic Science: An Overview and Prospects for the Future Volume: 1, pp. 30-37. ISBN: 978-81-969828-9-8 doi: https://doi.org/10.52756/lbsopf.2024.e01.003

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