Rice Fields as Mosquito Density Indicators for Malaria Prediction in Nigeria: An Anthropological View
DOI:
https://doi.org/10.47611/jsrhs.v12i3.4695Keywords:
Malaria, Mosquito Density, Machine Learning, Nigeria, Kebbi State, AnthropologyAbstract
The World Health Organization (WHO) identifies high-risk areas for disease outbreaks in African countries (WHO, 2019a). Sub-Saharan Africa, including Kebbi state in Nigeria, is particularly susceptible to vector-borne diseases (WHO, 2019a). Malaria is a significant health concern in Kebbi state, where rice fields serve as breeding sites for mosquitoes (CDC, 2020). This paper proposes an early warning system that utilizes satellite imagery and household data to predict mosquito populations in Kebbi State. Integrating machine learning and satellite imagery can inform disease control strategies and public health interventions. Additionally, this approach presents opportunities for anthropological research into the political aspects of malaria and rice farming in Kebbi state, Nigeria. Anthropologists can analyse the socio-political and economic factors influencing malaria persistence while considering the perspectives of local communities. Understanding the intricate relationships between farmers, mosquitoes, and public health officials can contribute to the development of more effective and equitable malaria control strategies. The poverty rate of approximately 72.0% in Kebbi state further complicates healthcare accessibility (Nigeria Health Watch, 2021). By focusing on this region and employing a multidisciplinary approach, this paper aims to address the urgent health challenges and support sustainable solutions for malaria prevention in Kebbi state, Nigeria.
Downloads
References or Bibliography
Abiola, G., & Idris, A. (2018). Poverty, economic growth and income distribution in Nigeria. International Journal of Humanities and Social Science Research, 8(1), 10-19.
Akinwale, O. P., Adejobi, A. O., Adewale, A. A., & Adebayo, B. A. (2020). Assessing the effectiveness of the Anchor Borrowers Programme in promoting smallholder farmers’ access to credit and agricultural productivity in Kebbi State, Nigeria. Agriculture and Food Security, 9(1), 1-16.
Akinwale, Y. A., Oyinlola, O. S., Aromolaran, A. B., & Usman, A. O. (2020). Gender dimension of agricultural credit accessibility and utilization among rice farmers in Kebbi State, Nigeria. Journal of International Women's Studies, 21(5), 33-49.
Akudugu, M. A., & Guo, E. (2017). Agricultural input subsidies and poverty reduction in sub-Saharan Africa: A spatiotemporal analysis of Ghana’s agricultural development program. Land Use Policy, 60, 318-328.
Akudugu, M. A., & Guo, E. Z. (2017). Rural power relations and agricultural policies: The case of Ghana's fertilizer subsidy programme. Journal of Rural Studies, 50, 105-114.
Alsheikh-Ali, A. A., Qureshi, W., Al-Mallah, M. H., Ioannidis, J. P., & Zubaid, M. (2011). Public domain biomedical image annotation using ontologies integrated with multi- dimensional biomedical image indexing and retrieval. BMC bioinformatics, 12(1), 1-13. doi: 10.1186/1471-2105-12-1
Bryceson, D., & Sarkar, S. (2010). Neoliberalism and Smallholder Agriculture in Sub-Saharan Africa: A Synthesis of an Extended Research Network. The Journal of Development Studies, 46(2), 209–224.
https://doi.org/10.1080/00220380903245810
Bryant, R. L., & Bailey, S. (1997). Third world political ecology. Routledge. Farmer, P. (2004). An anthropology of structural violence. Current Anthropology, 45(3), 305-325.
Commodity Port. (2022, March 8). Rice production in Nigeria and its statistics. Retrieved from https://www.commodity-port.com/2022/03/08/rice-production-in-nigeria-and-its-statistics/?amp=1.
Dorkenoo, A. M., & Nyamuame, G. Y. (2019). The use of integrated pest management to control pests in rice production in Sub-Saharan Africa. International Journal of Agronomy, 2019.
Farmer, P. (2004). An Anthropology of Structural Violence. Current Anthropology, 45(3), 305–325. https://doi.org/10.1086/382250
Federal Ministry of Agriculture and Rural Development (2017). Agricultural performance survey report 2017. Retrieved from http://www.fmard.gov.ng/wp-content/uploads/2019/02/2017-APS-Report-Compressed.pdf
Federal Ministry of Agriculture and Rural Development. (2021). Anchor Borrowers Programme. Retrieved from https://fmard.gov.ng/anchor-borrowers-programme-abp/
Folarin, O. A., Ogunsanmi, A. O., & Oyebanji, O. O. (2019). Prevalence of malaria parasite among rice farmers in Kebbi State, Nigeria. Nigerian Journal of Parasitology, 40(1), 64-69.
French, John R P; Raven, Bertram H (1959). "The Bases of Social Power". In Cartwright, D (ed.). Studies in Social Power. Ann Arbor, MI: Research Center for Group Dynamics, Institute for Social Research. pp. 150–167.
Gorelick N., Hancher M., Dixon M., Ilyushchenko S., Thau D., & Moore R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18-27. doi: 10.1016/j.rse.2017.06.031
He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 770-778).
Helber, P., Bischke, B., Dengel, A., & Borth, D. (2017). EuroSAT: A novel dataset and deep learning benchmark for land use and land cover classification. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (pp. 36-43).
Iwuafor, A. A., Okoli, C. C., Amoo, S. A., & Ugwuoke, E. C. (2021). Malaria Control in Nigeria: Challenges and Prospects. International Journal of Tropical Medicine and Public Health, 11(1), 1-15.
Kebbi State Agricultural Development Programme. (2021). About Kebbi state. Retrieved from http://www.ksadp.org/about-kebbi-state
Kleinman, A. (1980). Patients and healers in the context of culture: An exploration of the borderland between anthropology, medicine, and psychiatry. University of California Press.
Kyalo, D., Amratia, P., Mundia, C. W., Mbogo, C. M., Coetzee, M., & Snow, R. W. (2017). A geo-coded inventory of anophelines in the Afrotropical Region south of the Sahara: 1898-2016. Wellcome Open Res, 2, 57. doi: 10.12688/wellcomeopenres.12187.1. PMID: 28884158; PMCID: PMC5558104.
Li, T. M. (2007). The Will to Improve: Governmentality, Development, and the Practice of Politics. Duke University Press.
Muturi, Ephantus J., et al. "Mosquito Vector Data across Kenya: A Systematic Review of Data Sources, Collection, and Analysis Techniques." International Journal of Environmental Research and Public Health, vol. 14, no. 12, 2017, p. 1506., doi:10.3390/ijerph14121506.
USGS. (n.d.). Landsat Collection 1 Level-1 Data Products. U.S. Geological Survey. Retrieved May 5, 2023, from https://www.usgs.gov/land-resources/nli/landsat/landsat-collection-1-level-1-data-products
National Bureau of Statistics (2019). Poverty and inequality in Nigeria 2019. Retrieved from https://www.nigerianstat.gov.ng/nada/index.php/catalog/119/related_materials
Nigeria Health Watch (2021). The link between rice farming and malaria in Kebbi State. Retrieved from https://nigeriahealthwatch.com/the-link-between-rice-farming-and-malaria-in-kebbi-state/
Nigeria Malaria Fact Sheet (2020). Centers for Disease Control and Prevention. Retrieved from https://www.cdc.gov/malaria/malaria_worldwide/cdc_activities/nigeria.html
Nigeria Investment Promotion Commission. (2022). Rice production. Retrieved from https://nipc.gov.ng/investment-opportunities/agriculture/rice-production/
Nwaoguikpe, R. N. (2019). The dynamics of rice consumption in Nigeria. Journal of Food Technology Research, 6(2), 58-66.
Ogwuche, J. A. (2021). Agricultural development in Nigeria: An overview of the impact of government policies. Journal of Business and Social Sciences Research, 4(1), 1-8.
Olanrewaju, A. S., & Babatunde, R. O. (2015). Analysis of rice production in Kebbi state, Nigeria: A profit function approach. Agricultural and Food Economics, 3(1), 1-14.
Oyawoye, O. M. (2017). Agricultural practices and malaria among rice farmers in Kebbi state, Nigeria. Annals of Global Health, 83(5-6), 760-764.
Oyinbo, O., Yayo-Arero, J., & Edionwe, O. (2020). The impact of rice production on malaria transmission in Kebbi state, Nigeria. Heliyon, 6(12), e05711. https://doi.org/10.1016/j.heliyon.2020.e05711
Raimi, O. G., Atanda, O. O., Olayemi, I. K., & Oyediran, W. O. (2019). Rice production in Nigeria: A review. Journal of Agricultural Science, 11(11), 205–216. https://doi.org/10.5539/jas.v11n11p205
Robbins, P. (2004). Political Ecology: A Critical Introduction. Blackwell Publishing
Samy, A. M., Elaagip, A. H., Kenawy, M. A., Ayres, C. F., & Peterson, A. T. (2016). Ecological niche modeling of mosquito vectors of Rift Valley fever virus in Barkedji, Senegal: implications for disease transmission and prospects for control. Parasites & vectors, 9(1), 1-10. doi: 10.1186/s13071-016-1385-7
World Health Organization. (2019a). Vector-borne diseases. Retrieved from https://www.who.int/news-room/q-a-detail/vector-borne-diseases
World Health Organization. (2019b). World malaria report 2019. Retrieved from https://www.who.int/teams/global-malaria-programme/reports/world-malaria-report-2019
World Health Organization. (2021). Aedes-borne viruses. Retrieved from https://www.who.int/news-room/questions-and-answers/item/aedes-borne-viruses
World Health Organisation (2021). World Malaria Report 2020. Retrieved from https://www.who.int/publications/i/item/9789240015791
World Health Organization. (2021). Malaria in Nigeria. Retrieved from https://www.who.int/nigeria/health-topics/malaria
Zohaib, Muhammad, et al. "Rice Crop Monitoring and Yield Estimation through Multitemporal Sentinel-1 Synthetic Aperture Radar Data in Pakistan." Remote Sensing, vol. 12, no. 8, 2020, p. 1311., doi:10.3390/rs12081311.
Published
How to Cite
Issue
Section
Copyright (c) 2023 Gabrielle Wong; Heidi Cooke
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright holder(s) granted JSR a perpetual, non-exclusive license to distriute & display this article.
