You are here

Rice farmers’ contribution to malaria elimination in Eastern Rwanda By Alexis Rulisa*, Leon Mutesa* *Malaria Elimination Project at Ruhuha (MEPR), Kigali, Rwanda

 Rice farmers’ contribution to malaria elimination in Eastern Rwanda

By Alexis Rulisa*, Leon Mutesa*

*Malaria Elimination Project at Ruhuha (MEPR), Kigali, Rwanda

Description: C:\Users\RSSB\Desktop\RULISA\Rulisa\PhD\Thesis\Chapter 2\conceptual framework.PNGEconomic activities may entail negative externalities for public health. The case of rice farming in eastern Rwanda fits this description, as it provides breeding sites for malaria-infested mosquitoes, creating significant malaria risk but at the same time generates cash income and improves nutritional standards locally (Figure 1). So far, none of the interventions that have been proven to be effective in tackling rice farming-induced mosquito breeding sites has been implemented in Ruhuha. Therefore, a project that aims to eliminate malaria (MEPR project) in this area has decided to use external funds to support a larviciding intervention with Bacillus thuringiensis israelensis (Bti), but for just one rice cultivation season (semester). Future interventions will thus depend on co-payment of rice farmers and the wider community. The first study aims to assess the impact of rice farming to malaria risk while the second conducted prior to Bti application aims to assess the resource mobilization among rice farmers for larviciding.

To this purpose, a large-scale survey was conducted among more than 4,000 households in the area from June to December 2013. Data on household demographics, economic status, malaria prevention efforts as well as health-seeking behaviour have been collected. All households members have also been screened for malaria parasitemia and anaemia, and a malnutrition assessment was carried out for under-five children.

To assess the resources mobilization for malaria elimination, a cross-sectional study has been conducted in January 2015. Out of 1,914 rice farmers organized into four cooperatives, 320 farmers were randomly selected to participate in this study. The maximum willingness to pay (WTP) was elicitated through a contingent valuation exercise using the ”bidding game method”.

Our findings showed that rice farming is positively and significantly associated with households’ wealth, food security, health insurance status, and protection against malaria. At the same time, it was confirmed that rice farming practices increase the risk of malaria transmission through expanded mosquito populations.

For the resources mobilization, the mean WTP was US$ 2.2 per farmer per season. The median WTP revelead that 50% of the participants were willing to pay at least US$ 1.4.

Again our results revealed that the proportion of households reporting that rice farming was their most important crop was 8.1%. However, it is worth noting that there were many other households involved in rice farming which were cultivating other crops with more importance for them. Beans and cassava were reported as the most important crops grown, 77.5% and 69.4%, respectively.

It has also been discovered that rice farming was positively and significantly associated with better standards of living mainly due to income generated by this activity. Rice farmers were 3.5 times more likely to live above standards, compared to their non-rice farming neighbors.

Rice farming plays a crucial role as farmers keep 20% of their production for eating at home and sell 80%. This helps them improving household food security and nutritional status as nutrient intake may consequently increase. They also save money that they should use to buy rice, which can serve to satisfy other family needs. The same applies for income generated from rice to buy other foodstuffs so that they can often afford a balanced diet.

The preliminary results of this on-going project indicate that the risk of malaria was significantly two times higher for non-rice farmers than for their neighbours who were growing rice. This testifies the protective effect as rice farmers are more protected against malaria because they enjoy better living conditions including housing with roof, floor and walls that are not favourable for mosquitos. They are also able to pay workers to remove peri-domestic breeding sites, to acquire and use additional bed nets, and to join health insurance schemes.

These results also revealed that malaria risk is higher in villages located closer to the marshlands where rice is grown. The more a village is nearby the marshland, the higher the prevalence of malaria. The population surrounding these marshlands which does not have or use preventive measures is more affected by malaria.

In conclusion, rice farming leads to private benefits in the economic domain, which spills over into the health domain, but at the same time creates a public health risk. As a result, the “paddy paradox” hypothesis is confirmed at the level of rice-producing households, but rejected at the wider community level. Hence, strategies need to be developed that are able to tap the private benefits of rice cultivation and re-direct these to fund collective action against malaria.

While acceptability of Bti intervention appears generally high, as witnessed for instance by a stated willingness to invest (non-compensated) labor time in applying Bti once it is established that it is effective in reducing malaria incidence, the WTP levels reported can only cover one fourth (1/4) of the full intervention cost (US$ 9 for lumpsum and US $ 1.8 per acre). To fill this gap, financing models need to be developed to support rice farmers and their communities to increase the sustainability of the intervention.

References

Briefs, C. (2011). Maintaining the Gains in Malaria Control, (September).

Castro, M. C. De, & Fisher, M. G. (2012). Is malaria illness among young children a cause or a consequence of low socioeconomic status ? evidence from the united Republic of Tanzania. Malaria Journal, 11(1), 1. doi:10.1186/1475-2875-11-161

Das, P., & Horton, R. (2010). Malaria elimination: worthy, challenging, and just possible. Lancet, 376(9752), 1515–7. doi:10.1016/S0140-6736(10)61551-6

De Silva, P. M., & Marshall, J. M. (2012). Factors contributing to urban malaria transmission in sub-saharan Africa: a systematic review. Journal of tropical medicine, 2012, 819563. doi:10.1155/2012/819563

Deressa, W., Ali, A., & Berhane, Y. (2007). Household and socioeconomic factors associated with childhood febrile illnesses and treatment seeking behaviour in an area of epidemic malaria in rural Ethiopia. doi:10.1016/j.trstmh.2007.04.018

Dickinson, K. L., Randell, H. F., & Kramer, R. A. (2012). Global Public Health : An International Journal for Research , Policy and Practice Socio-economic status and malaria- related outcomes in Mvomero District , Tanzania, (May 2013), 37–41.

Diuk-Wasser, M. a, Touré, M. B., Dolo, G., Bagayoko, M., Sogoba, N., Sissoko, I., … Taylor, C. E. (2007). Effect of rice cultivation patterns on malaria vector abundance in rice-growing villages in Mali. The American journal of tropical medicine and hygiene, 76(5), 869–74. Retrieved from http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=1945821&tool=p...

Geissbühler, Y., Kannady, K., Chaki, P. P., Emidi, B., Govella, N. J., Mayagaya, V., … Killeen, G. F. (2009). Microbial larvicide application by a large-scale, community-based program reduces malaria infection prevalence in urban Dar es Salaam, Tanzania. PloS one, 4(3), e5107. doi:10.1371/journal.pone.0005107

Ghosh, S. K., Patil, R. R., & Tiwari, S. N. (2012). Socio-economic-political-cultural aspects in malaria control programme implementation in southern India. Journal of parasitology research, 2012, 317908. doi:10.1155/2012/317908

Graves, P. M., Richards, F. O., Ngondi, J., Emerson, P. M., Biru, E., Endeshaw, T., … Gebre, T. (2009). Individual , household and environmental risk factors for malaria infection in Amhara , Oromia and SNNP regions of Ethiopia. doi:10.1016/j.trstmh.2008.11.016

Imbahale, S. S., Githeko, A., Mukabana, W. R., & Takken, W. (2012). Integrated mosquito larval source management reduces larval numbers in two highland villages in western Kenya. BMC public health, 12(1), 362. doi:10.1186/1471-2458-12-362

Ingstad, B., Munthali, A. C., Braathen, S. H., & Grut, L. (2012). The evil circle of poverty : a qualitative study of malaria and disability. Malaria Journal, 11(1), 15. doi:10.1186/1475-2875-11-15

Jarju, L. B. S., Fillinger, U., Green, C., Louca, V., Majambere, S., & Lindsay, S. W. (2009). Agriculture and the promotion of insect pests: rice cultivation in river floodplains and malaria vectors in The Gambia. Malaria journal, 8, 170. doi:10.1186/1475-2875-8-170

Karema, C., Aregawi, M. W., Rukundo, A., Kabayiza, A., Mulindahabi, M., Fall, I. S., … Binagwaho, A. (2012). Trends in malaria cases , hospital admissions and deaths following scale-up of anti-malarial interventions , 2000 – 2010 , Rwanda, 1–13.

Kling, J. R., Dellavigna, S., Dinardo, J., Huang, E., Jones, C., Katz, L., … Reiley, D. (2011). No Title.

Martin, G., Grant, A., & Agostino, M. D. (2012). Global health funding and economic development. Globalization and Health, 8(1), 8. doi:10.1186/1744-8603-8-8

Mendis, K., Rietveld, A., Warsame, M., Bosman, A., Greenwood, B., & Wernsdorfer, W. H. (2009). From malaria control to eradication: The WHO perspective. Tropical medicine & international health : TM & IH, 14(7), 802–9. doi:10.1111/j.1365-3156.2009.02287.x

Messina, J. P., Taylor, S. M., Meshnick, S. R., Linke, A. M., Tshefu, A. K., Atua, B., … Emch, M. (2011). Population , behavioural and environmental drivers of malaria prevalence in the Democratic Republic of Congo. Malaria Journal, 10(1), 161. doi:10.1186/1475-2875-10-161

Moonen, B. (2012). Optimizing Investments in Malaria Treatment and Diagnosis, 338(November), 612–614.

Munguambe, K., Pool, R., Montgomery, C., Bavo, C., Nhacolo, A., Fiosse, L., … Alonso, P. (2011). What drives community adherence to indoor residual spraying (IRS) against malaria in Manhiça district, rural Mozambique: a qualitative study. Malaria journal, 10(1), 344. doi:10.1186/1475-2875-10-344

Mwangangi, J. M., Shililu, J., Muturi, E. J., Muriu, S., Jacob, B., Kabiru, E. W., … Novak, R. J. (2010). Anopheles larval abundance and diversity in three rice agro-village complexes Mwea irrigation scheme, central Kenya. Malaria journal, 9, 228. doi:10.1186/1475-2875-9-228

Nartey, R., Owusu-Dabo, E., Kruppa, T., Baffour-Awuah, S., Annan, A., Oppong, S., … Obiri-Danso, K. (2013). Use of Bacillus thuringiensis var israelensis as a viable option in an Integrated Malaria Vector Control Programme in the Kumasi Metropolis, Ghana. Parasites & vectors, 6(1), 116. doi:10.1186/1756-3305-6-116

Ng’ang'a, P. N., Shililu, J., Jayasinghe, G., Kimani, V., Kabutha, C., Kabuage, L., … Mutero, C. (2008). Malaria vector control practices in an irrigated rice agro-ecosystem in central Kenya and implications for malaria control. Malaria journal, 7, 146. doi:10.1186/1475-2875-7-146

Njau, J. D., Goodman, C., Kachur, S. P., Palmer, N., Khatib, R. A., Abdulla, S., … Bloland, P. (2006). Fever treatment and household wealth : the challenge posed for rolling out combination therapy for malaria, 11(3), 299–313. doi:10.1111/j.1365-3156.2006.01569.x

Novignon, J., & Nonvignon, J. (2012). Socioeconomic status and the prevalence of fever in children under age five : evidence from four sub-Saharan African countries. BMC Research Notes, 5(1), 1. doi:10.1186/1756-0500-5-380

Omumbo, J. a, Noor, A. M., Fall, I. S., & Snow, R. W. (2013). How well are malaria maps used to design and finance malaria control in Africa? PloS one, 8(1), e53198. doi:10.1371/journal.pone.0053198

Otten, M., Aregawi, M., Were, W., Karema, C., Medin, A., Bekele, W., … Grabowsky, M. (2009). Initial evidence of reduction of malaria cases and deaths in Rwanda and Ethiopia due to rapid scale-up of malaria prevention and treatment. Malaria journal, 8, 14. doi:10.1186/1475-2875-8-14

Peterson, I., Borrell, L. N., El-Sadr, W., & Teklehaimanot, A. (2009). Individual and household level factors associated with malaria incidence in a highland region of Ethiopia: a multilevel analysis. The American journal of tropical medicine and hygiene, 80(1), 103–11. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/19141847

Sabot, O., Cohen, J. M., Hsiang, M. S., Kahn, J. G., Basu, S., Tang, L., … Feachem, R. G. a. (2010). Costs and financial feasibility of malaria elimination. Lancet, 376(9752), 1604–15. doi:10.1016/S0140-6736(10)61355-4

Slutsker, L., & Kachur, S. P. (2013). It is time to rethink tactics in the fight against malaria. Malaria journal, 12, 140. doi:10.1186/1475-2875-12-140

Tatarsky, A., Aboobakar, S., Cohen, J. M., Gopee, N., Bheecarry, A., Moonasar, D., … Sabot, O. (2011). Preventing the reintroduction of malaria in Mauritius: a programmatic and financial assessment. PloS one, 6(9), e23832. doi:10.1371/journal.pone.0023832

Thiam, S., Kimotho, V., Guerma, T., & Carter, J. (2013). Ball back in Africa’s court: funding malaria control and elimination. The Pan African medical journal, 14, 78. doi:10.11604/pamj.2013.14.78.2417

Tiwari, S., Ghosh, S. K., Mittal, P. K., & Dash, A. P. (2011). Effectiveness of a new granular formulation of biolarvicide Bacillus thuringiensis Var. israelensis against larvae of malaria vectors in India. Vector borne and zoonotic diseases (Larchmont, N.Y.), 11(1), 69–75. doi:10.1089/vbz.2009.0197

Walker, K., & Ph, D. (2002). A Review of Control Methods for African Malaria Vectors by.

Wiseman, V., Mcelroy, B., Conteh, L., & Stevens, W. (2006). Malaria prevention in The Gambia : patterns of expenditure and determinants of demand at the household level, 11(4), 419–431. doi:10.1111/j.1365-3156.2006.01586.x

 

 

 

 

Share this Article..

To Post your Comments Securely, a quick, one-time sign-in/registration is needed below.

Follow us