AccScience Publishing / GHES / Online First / DOI: 10.36922/GHES025390068
ORIGINAL RESEARCH ARTICLE

Impact of malaria on family rice farm management in Gaya, Niger

Idrissa Saidou Mahamadou1,2* Lihida Yacouba Souley1 Soumana Boubacar1,2
Show Less
1 Department of Sociology and Rural Economics, Faculty of Agronomy, Abdou Moumouni University of Niamey, Niamey, Niger
2 Laboratory of Analysis and Research in Sociology and Rural Economics (LARSER), Faculty of Agronomy, Abdou Moumouni University, Niamey, Niger
Received: 27 September 2025 | Revised: 21 November 2025 | Accepted: 18 December 2025 | Published online: 3 February 2026
© 2026 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Malaria remains a major public health challenge in sub-Saharan Africa, affecting household labor and economic productivity. In agricultural communities, the disease can disrupt farm management and reduce profitability, particularly for labor-intensive crops such as rice. This study investigates the effects of malaria on the management of family rice farms in the urban commune of Gaya. The methodological framework combined descriptive statistics, comparative analyses across rainy and dry seasons, and econometric modeling. Data were collected from 104 rice-farming households. Results demonstrate that both the average number of individuals affected by malaria and the associated healthcare expenditures are substantially higher during the rainy season. In the rainy season, health-related costs markedly increase total production expenses, causing value added and the profitability index to decline sharply (from 0.423 to 0.095). In contrast, during the dry season, despite higher revenues, the impact of health expenditures remains marginal, with only a slight reduction in the profitability index (from 3.26 to 3.22). Econometric analysis further reveals that, in the rainy season, rice farm profitability is significantly and negatively influenced by the number of lost workdays, malaria prevalence, and cultivated area (p<0.05). Each additional workday lost due to malaria reduces farm profitability by approximately USD 93, corresponding to a 3.6% decline relative to baseline profitability. These findings underscore malaria’s dual burden on rice-farming households: it reduces labor availability while increasing financial costs, particularly during the rainy season when labor demands peak. Strategies to mitigate malaria could therefore improve both health and economic outcomes for smallholder rice farmers.

Graphical abstract
Keywords
Malaria
Rice
Farms
Management
Gaya
Niger
Funding
This research was conducted without external funding, but benefited from institutional support and collaborative exchanges within the academic and development communities working in Gaya.
Conflict of interest
The authors declare that they have no competing interests.
References

Adekanye, J.O., Adeoti, A.I., Adepoju, A.O., & Awoyemi, T.T. (2020). Effect of workdays lost to presumptive malaria on households’ poverty status among food crop farming households in rural South West, Nigeria. Uniosun Journal of Agriculture and Renewable Resources, 4(1):1-26. https://doi.org/10.5281/zenodo.3821234

 

Adeoti, A., Barry, B., Namara, R., Kamara, A., & Titiati, A. (2011). Water management practices and irrigation performance in Nigeria: Farmers’ perceptions and policy implications. Agricultural Water Management, 98(5):733-741. https://doi.org/10.1016/j.agwat.2010.12.004

 

Adewale, T.A., Adebosin, W.G., & Oladoja, S.O. (2016). Impact of Malaria on Agricultural Productivity. International Journal of Advanced Research in Social Engineering and Development Strategies, 4(1):1–12.

 

African Development Bank (AfDB). (2024). Improving Resilience and Food Security - ADER; 2024. Available from: https://www.afdb.org/sites/default/files/news_documents/ ader_2024_-_chapter_2_en.pdf [Last accessed on 2025 Dec 10].

 

Andrade, M.V., Noronha, K., Diniz, B.P.C., Guedes, G, Carvalho, LR., Silva, V.A., et al. (2022). The economic burden of malaria: A systematic review. Malar Journal, 21(1):283. https://doi.org/10.1186/s12936-022-04303-6

 

Asenso-Okyere, K., Asante, F.A., Tarekegn, J., & Andam, K.S. (2011). A review of the economic impact of malaria in agricultural development. Agricultural Economics, 42(3):293-304. https://doi.org/10.1111/j.1574-0862.2011.00584.x

 

Bélières, J.F., Bourgeois, R., Marzin, J., Ton-Nu, C., & Triomphe, B. (2015). Les Agricultures Familiales du Monde: Définitions, Contributions et Politiques Publiques. AFD, CIRAD.

 

Breusch, T.S., & Pagan, A.R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica, 47(5):1287-1294. https://doi.org/10.2307/1911963

 

Burnham, K.P., & Anderson, D.R. (2002). Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach. 2nd ed. Berlin: Springer.

 

Chan, K., Konan, K.AC., Doudou, D.T., Kouadio, G.B., Lines, J., Aunger, R., et al. (2023). Rice farmers’ knowledge, attitudes and practices towards mosquitoes in irrigation schemes in Côte d’Ivoire: A qualitative study. Malar Journal, 22(1):352. https://doi.org/10.1186/s12936-023-04785-y

 

Chan, K., Tusting, L.S., Bottomley, C., Saito, K., Djouaka, R., & Lines, J. (2022). Malaria transmission and prevalence in rice-growing versus non-rice-growing villages in Africa: A systematic review and meta-analysis. Lancet Planet Health, 6(3):e257-e269. https://doi.org/10.1016/S2542-5196(21)00349-1

 

Cochran, W.G. (1977). Sampling Techniques. 3rd ed. New York, NY: John Wiley and Sons.

 

Edith, P., Han, S., Lauer, J., Barschkett, M., & Arcand, J.L. (2023). The macroeconomic impact of increasing investments in Malaria control in 26 high Malaria burden Countries: An application of the Updated EPIC model. International Journal of Health Policy and Management, 12:7132. https://doi.org/10.34172/ijhpm.2023.7132

 

FAO. (2017). The Future of Food and Agriculture. Trends and Challenges. Rome: FAO. Available from: https://openknowledge.fao.org/handle/20.500.14283/i6583e [Last accessed on 2026 Jan 28].

 

FAO. (2023b). The State of Food Security and Nutrition in the World 2023. Rome: Food and Agriculture Organization of the United Nations. Available from: https://openknowledge. fao.org/items/445c9d27-b396-4126-96c9-50b335364d01 [Last accessed on 2026 Jan 28].

 

Fink, G., & Masiye, F. (2015). Health and agricultural productivity: Evidence from Zambia. Journal of Health Economics, 42:151-164. https://doi.org/10.1016/j.jhealeco.2015.04.004

 

Food and Agriculture Organization (FAO). (2023a). Building Resilience through Agrifood Systems Transformation. Available from: https://openknowledge.fao.org/server/api/ core/bitstreams/fb1b1163/e017/4b20/b932/06f2629e993c/content

 

Gallup, J.L., & Sachs, J.D. (2001). The economic burden of malaria. American Journal of Tropical Medicine and Hygiene, 64(1-2 Suppl):85-96. https://doi.org/10.4269/ajtmh.2001.64.85

 

Gujarati, D.N., & Porter, D.C. (2021). Basic Econometrics. 6th ed. United States: McGraw-Hill Education.

 

Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2021). Multivariate Data Analysis. 8th ed. United States: Cengage Learning. ISBN: 9781473756540.

 

Hardy, H., Hopkins, R.J., Mnyone, L., & Hawkes, FM. (2025). Climate change adapted rice production: Does the system of rice intensification impact malaria vector ecology?. Parasites Vectors, 18(1):427. https://doi.org/10.1186/s13071-025-06973-y

 

Ijumba, J.N., & Lindsay, S.W. (2001). Impact of irrigation on malaria in Africa: Paddies paradox. Medical and Veterinary Entomology, 15(1):1-11. https://doi.org/10.1046/j.1365-2915.2001.00279.x

 

INS. (2022). Enquête Nationale Sur Les Conditions de Vie Des Ménages et l’Agriculture au Niger (ECVMA). Niamey: Institut National de la Statistique. Available from: https://www.stat-niger.org/anado/index.php/catalog/173/related-materials [Last accessed on 2026 Jan 28].

 

Institut National de la Statistique (INS). (2022). Annuaire Statistique du Niger. Niamey: INS.

 

Institut National de la Statistique (INS). (2022). Tableau de Bord Social 2022. Niamey: Ministère du Plan, République du Niger. INS Niger Official Site. Available from: https://stat-niger.org [Last accessed on 2026 Jan 28].

 

Keiser, J, Singer, B.H., & Utzinger, J. (2005a). Reducing the burden of malaria in different eco-epidemiological settings with environmental management: A systematic review. Lancet Infect Dis, 5(11):695-708. https://doi.org/10.1016/S1473-3099(05)70268-1

 

Keiser, J., Castro, M.C., Maltese, M.F., Bos, R., Tanner, M., Singer, B.H., et al. (2005b). Effect of irrigation and large dams on the burden of malaria on a global and regional scale. American Journal of Tropical Medicine and Hygiene, 72(4):392-406. https://doi.org/10.4269/ajtmh.2005.72.392

 

Lamesgen, A., Engidaw, M., Gedif, G., Gete, M., & Belay, Y.A. (2025). The economic burden of malaria in Africa: A systematic review of cost of illness studies. Malar Journal, 24(1):223. https://doi.org/10.1186/s12936-025-05390-x

 

Lukwa, A.T., Mawoyo, R., Zablon, K.N., Siya, A., & Alaba, O. (2019). Effect of malaria on productivity in a workplace: The case of a banana plantation in Zimbabwe. Malar Journal, 18(1):390. https://doi.org/10.1186/s12936-019-3021-6

 

Mahamadou, I.S., Boubacar, S., & Ouedraogo, A. (2025). Farm management practices and health outcomes in kourtheye District, Niger: A focus on climate variability impacts. Agricultural Sciences, 16(1):68-88. https://doi.org/10.4236/as.2025.161005

 

Malaney, P. (2002). Microeconomic approaches to studying the effects of malaria on education. American Journal of Tropical Medicine and Hygiene, 71(2 Suppl):161-166. https://doi.org/10.4269/ajtmh.2004.71.161

 

Malaney, P., Spielman, A., & Sachs, J. (2004). The malaria gap. The American Journal of Tropical Medicine and Hygiene, 71(2 Suppl):141-146.

 

Mendola, M. (2007). Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh. Food Policy, 32(3):372-393. https://doi.org/10.1016/j.foodpol.2006.07.003

 

Midi, H., & Ariffin, S.B. (2013). Modified standardized Pearson residual for the identification of outliers in logistic regression model. Journal of Applied Sciences, 13(6):828-836. https://doi.org/10.3923/jas.2013.828.836

 

Ministry of Health, Niger. (2021). Enquête Nationale Sur Les Facteurs de Risque Des Maladies Transmissibles et Non Transmissibles (STEPS Niger 2021). Ministère de la Santé Publique, de la Population et des Affaires Sociales, Niamey, Niger. WHO STEPS Niger 2021 Report.

 

Monroe, A., Olapeju, B., Moore, S., Hunter, G., Merritt, A.P., Okumu, F., et al. (2021). Improving malaria control by understanding human behaviour. Bulletin of the World Health Organization, 99(11):837-839. https://doi.org/10.2471/BLT.20.285369

 

Mouchet, J., Carnevale, P., Coosemans, M., Julvez, J., Manguin, S., Richard-Lenoble, D., et al. (2004). Biodiversité du Paludisme Dans le Monde. Paris: J. Libbey Eurotext.

 

Mouchet, J., Manguin, S., Sircoulon, J., Laventure, S., Faye, O., Onapa, A., et al. (2004). Agriculture and malaria in Africa: Eco-epidemiological determinants. Acta Tropica, 89(2):99-117. https://doi.org/10.1016/j.actatropica.2003.10.012

 

Nguyen, T.T., Gryseels, C., Tran, D.T., Smekens, T., Gerrets, R., Nguyen, X.X., et al. (2021). Understanding malaria persistence: A mixed-methods study on the effectiveness of malaria elimination strategies in South-Central Vietnam. Frontiers in Public Health, 9:742378. https://doi.org/10.3389/fpubh.2021.742378

 

Onwujekwe, O., Chima, R., & Okonkwo, P. (2000). Economic burden of malaria illness on households versus that of all other illness episodes: A study in five malaria holo-endemic Nigerian communities. Health Policy, 54(2):143-159. https://doi.org/10.1016/S0168-8510(00)00105-6

 

Otolorin, G.R, María, E.C., Oyelola, A.A., & Emma, S. (2025). Integrated vector management for malaria control: A review of approaches and effectiveness. Transactions of The Royal Society of Tropical Medicine and Hygiene, 119(11):1223-1232. https://doi.org/10.1093/trstmh/traf084

 

Ozodiegwu, I.D., Legris, G., Chiziba, C., & Mhlanga, L. (2025). Agricultural Work, Malaria Prevalence, and Mediating Factors: A Cross-Sectional Analysis of Data from 15 Sub- Saharan African Countries. [medRxiv Preprint]. https://doi.org/10.1101/2025.07.21.25331926

 

PDC, Gaya. (2024). Plan de Développement Communal de Gaya: Rapport de Validation.

 

Pegalepo, E., Bocco, R., Onaga, G., Nwilene, F., Tamò, M., Togola, A., et al. (2025). Sustainable insect pest management options for rice production in Sub-Saharan Africa. Insects, 16(11):1175. https://doi.org/10.3390/insects16111175

 

Sachs, J., & Malaney, P. (2002). The economic and social burden of malaria. Nature, 415(6872):680-685. https://doi.org/10.1038/415680a

 

Salmerón-Gómez, R., García-García, C.B., & García-Pérez, J.A. (2025). A redefined variance inflation factor: Overcoming the limitations of the variance inflation factor. Computational Economics, 65:337-363. https://doi.org/10.1007/s10614-024-10575-8

 

Sauerborn, R., Adams, A., & Hien, M. (1996). Household strategies to cope with the economic costs of illness. Social Science and Medicine, 43(3):291-301. https://doi.org/10.1016/0277-9536(95)00375-4

 

Seck, P.A., Tollens, E., Wopereis, M.C.S., Diagne, A., & Bamba, I. (2010). Rising trends and variability of rice prices: Threats and opportunities for Sub-Saharan Africa. Food Policy, 35(5):403-411. https://doi.org/10.1016/j.foodpol.2010.05.003

 

Snyman, K., Pitt, C., Aturia, A., Aber, J., Gonahasa, S., Namuganga, J.F., et al. (2025). Who pays to treat malaria and how much? Analysis of the cost of illness, equity and economic burden of malaria in Uganda. Health Policy and Planning, 40(1):52-65. https://doi.org/10.1093/heapol/czae093

 

Sulemana, I., & James, H.S. Jr. (2014). Farmer identity, ethical attitudes and environmental practices. Ecological Economics, 98:49-61. https://doi.org/10.1016/j.ecolecon.2013.12.011

 

Thiam, T., Kande, D., Ntuku, H., Guinovart, C., Galles, N., Merriman, L., et al. (2024). Identifying populations at high risk of malaria: A mixed-methods case-control study to inform targeted interventions in Senegal. Malaria Journal, 23(1):373. https://doi.org/10.1186/s12936-024-05219-z

 

Tusting, L.S., Bisanzio, D., Alabaster, G., Cameron, E., Cibulskis, R., Davies, M., et al. (2019). Mapping changes in housing in Sub-Saharan Africa from 2000 to 2015. Nature, 568(7752):391-394. https://doi.org/10.1038/s41586-019-1050-5

 

Udoh, E.J., & Ubong Abasi, R. (2025). The economic costs of malaria and behaviour of farming households towards treatment care in Ibesikpo Asutan Local Government Area, Akwa Ibom State, Nigeria. International Journal of Organic Agriculture Research and Development, 20(1):55-70. https://doi.org/10.5281/zenodo.10876543

 

Venables, W.N., & Ripley, B.D. (2002). Modern Applied Statistics with S. 4th ed. Berlin: Springer. Available from: https://link.springer.com/book/10.1007/978-0-387-21706-2 [Last accessed on 2025 Dec 04].

 

Véronique, T. (2016). Politiques de Santé et Théories Economiques. hal-01311494. Ver. 1. Available from: https://hal.science/ hal-01311494 [Last accessed on 2025 Dec 04].

 

WHO. (2023). World Malaria Report 2023. Geneva: World Health Organization. Available from: https://cdn.who.int/media/docs/default-source/malaria/world-malaria-reports/world-malaria-report-2023.pdf [Last accessed on 2026 Jan 28].

 

World Food Programme (WFP). (2024). Integrated Resilience in the Sahel. Available from: https://www.wfp.org/publications/integrated-resilience-sahel [Last accessed on 2025 Dec 10].

 

World Health Organization (WHO). (2021). World Malaria Report 2021. Geneva: WHO.

 

World Health Organization. (WHO). (2022). World Malaria Report 2022. Geneva: WHO. Available from: https://www. who.int/publications/i/item/9789240064898 [Last accessed on 2025 Dec 10].

Share
Back to top
Global Health Economics and Sustainability, Electronic ISSN: 2972-4570 Print ISSN: 3060-8546, Published by AccScience Publishing