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| ABSTRACT |
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| INTRODUCTION |
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In general, irrigated areas support higher densities of malaria vectors than adjacent non-irrigated areas and the effect on malaria transmission and prevalence may vary depending on local ecologic conditions. In Sri Lanka, introduction of the Mahaweli Irrigation Scheme resulted in a five-fold increase in malaria incidence among the local population.4 Introduction and expansion of acreage under cotton, wheat, sorghum, and vegetable irrigation led to serious outbreaks of malaria in Gezira-Managil system in the Nile River valley.5 Development of dams for irrigation also increased malaria incidence in Benoue Valley, Cameroon,6 and Tigray, Ethiopia.1 In Rusizi Valley, Burundi vectorial capacity of Anopheles gambiae Giles s.l. was 150 times higher in the rice irrigation scheme than in adjacent cotton growing areas.7 In contrast, irrigated rice cultivation in Mali was associated with a reduction in the annual incidence of malaria8 and a 10-fold reduction in the sporozoite rate than was found in adjacent non-irrigated areas.9 In Lower Moshi Tanzania, malaria transmission and prevalence was significantly lower in irrigated than in neighboring sugarcane and cotton growing areas.10,11 Githeko and others12 reported that the sporozoite rate of An. gambiae s.l. was five times lower in the Ahero rice scheme than in the neighboring sugar cane growing area. The introduction of irrigated rice cultivation in the Senegal River delta did not alter malaria transmission.13 Collectively, these findings indicate that the relationship between irrigated rice cultivation and malaria transmission is complex and can only be understood through site-specific evaluation of local vectors and underlying ecologic and epidemiologic factors.
The Mwea Rice Irrigation Scheme is the largest of its kind in east Africa, covering an area of approximately 13,640 hectares. Recent studies have shown that the densities of An. arabiensis Patton are higher within the scheme than in the neighboring non-irrigated areas, and An. funestus Giles is more abundant in non-irrigated areas.14,15 Surprisingly, there has been no entomologic study to assess the impact of rice cultivation on malaria transmission in this area. Because malaria prevalence was shown to be lower within the scheme than in neighboring non-irrigated areas,14 it was our hypothesis that rice cultivation reduced the risk of malaria transmission in the area. We tested this hypothesis by comparing the risk of malaria transmission in three agro-ecosystems with different patterns of land use.
| MATERIALS AND METHODS |
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9 years of age is 0%, 17%, and 54%, respectively.14 Mbuinjeru is within the Mwea Irrigation Scheme and more than 75% of the village land is under rice cultivation. Farmers in this village follow a defined rice cropping cycle as determined by the National Irrigation Board (planned rice cultivation). The typical rice cultivation cycle includes a land preparation–transplanting period (July–August), a growing period (August–November), and a post-harvest period (November–December). The second crop if planted is cultivated prior to the long rainy period between January and May. Human habitation occupies the remaining area with less than 10% used for vegetables and bananas.
Kiamachiri is immediately outside the scheme with approximately 20% of the area under rice cultivation. In this village, individual farmers decide their own cropping cycle depending on water availability. Consequently, rice is grown throughout the year as long as water is available in Gakungu River to irrigate the paddies (unplanned rice cultivation). The remaining 80% of the land is mainly planted with maize, beans, and bananas.
Murinduko is situated approximately 15 km from the scheme and is generally a non–rice-growing village mainly because of its hilly topography that renders much of the area (approximately 90%) unsuitable for rice cultivation. However, limited rice growing activity (< 5% of the total area) is conducted along one major river valley that runs along the edge of the village. Maize, beans, and bananas are the main crops cultivated but only on subsistence scale.
Demographic and meteorologic data. A pre-study population census was done to provide basic human demographic data. This was accomplished by a house-to-house visit to determine the number of people residing in each village and family size. In addition, a census of domestic animals was also completed. This information was used to establish the human to cattle ratio. Before gathering the above information, the household head was briefed on the purpose of the study and his or her consent to provide the information requested.
The meteorologic data collected during the study period included rainfall, temperature, and relative humidity. Rain gauges (Tru-Chek®; Rain Gauge Division, Edwards Manufacturing Co. Albert Lea, MN) were placed in each of the three villages and rainfall was recorded daily throughout the study period from April 2004 to March 2005. Temperature and relative humidity for each of the village was obtained using temperature and relative humidity data loggers (Onset Computer Corporation, Bourne, MA).
Mosquito sampling and processing. Adult mosquitoes were sampled twice per month between April 2004 and March 2005. The collections were done in 30 randomly selected houses between 7:00 AM and 11:00 AM using the pyrethrum spray catch (PSC) technique.20 In each study site, the location of each homestead was categorized as center or periphery and equal numbers of houses were selected from each category. Any homestead less than 15 meters from the village perimeter was classified as being at the periphery of the village. Mosquitoes were transported from the field to the laboratory where they were identified to species by morphologic characteristics.21,22 Each mosquito was scored as unfed, blood-fed, semi-gravid or gravid by visual abdominal examination under a dissecting microscope. The guts of a representative sample of blood fed anophelines collected at each village were analyzed using an enzyme-linked immunosorbent assay (ELISA)23 to identify the relative proportion of adult mosquito population feeding on humans and cattle. The heads and thoraces of another sample comprising all classes of mosquitoes (unfed, blood-fed, semi-gravid and gravid) was analyzed by ELISA for Plasmodium falciparum circumsporozoite proteins.24
Entomologic indices. The human blood index (HBI) was determined as the proportion of blood-fed mosquitoes that had fed on humans of the total number tested. The feeding success was determined as the proportion of blood fed and semi-gravid mosquitoes in the total proportion presumed to have attempted to feed (all mosquitoes except gravids).25 The sporozoite index for a given species was calculated as the proportion of females carrying infective sporozoites in the head-thorax of the total number tested. The human biting rate was derived as the product of blood fed and semi-gravid females per person per night and the human blood index. The product of human biting rate and sporozoite index yielded the entomologic inoculation rate (EIR), a standard measure of transmission intensity.26 Githeko and others27 did not find any evidence of early exophily by rice land An. arabiensis and An. funestus. We therefore considered mosquito samples from PSC to be relatively good estimates of human biting rates and EIR.
Data analysis. Data were analyzed using the SPSS version 11.5 statistical package (SPSS, Inc., Chicago, IL). Mosquito densities and biting rates were log-transformed before analysis to normalize the data. Analysis of variance was used to compare the differences in mosquito densities, human biting rates, and EIR among villages and the means were separated by Tukey test. The chi-square test was used to compare differences in feeding success and sporozoite rates of mosquito species among villages.
| RESULTS |
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Species composition and abundance. A total of 39,609 female anophelines were collected between April 2004 and March 2005. Anopheles arabiensis was the dominant species comprising 98.0% of the total collection, followed by An. funestus at 1.9%. The remaining 0.1% was composed of An. pharoensis Theobald, An. maculipalpis Giles, An. pretoriensis Theobald, An. coustani Laveran, and An. rufipes Gough. The mosquito species diversity and abundance for the three study sites has been described in detail elsewhere.15
Vector density, feeding success, human blood index, and human biting rates.
The overall indices of malaria transmission at the three study sites are shown in Table 1
. The mean ± SE number of An. arabiensis per person per night was 10.76 ± 0.60 in the planned rice agro-ecosystem (Mbuinjeru), which was two-fold higher than in the unplanned rice agro-ecosystem (Kiamachiri; 5.36 ± 0.45) and 12-fold higher than in the non-irrigated agro-ecosystem (Murinduko; 0.91 ± 0.09). Tukeys honestly significant differences test showed that each agro-ecosystem differed significantly from the others (F = 85.33, degrees of freedom [df] = 2, 71, P < 0.001). The mean ± SE number of An. funestus per person per night in the planned and unplanned rice agro-ecosystems was 0.04 ± 0.00 and differed significantly from the value of 0.27 ± 0.01 for the non-irrigated agro-ecosystem (F = 5.054, df = 2, 71, P < 0.01). The average feeding success for An. arabiensis and An. funestus was 0.63 and 0.62, respectively, with no significant difference among agro-ecosystems. The human blood index of An. arabiensis was significantly higher in the non-irrigated agro-ecosystem (0.50) than in the planned (0.09) and unplanned (0.12) rice agro-ecosystems (
2 = 158.361, df = 2, P < 0.001). For An. funestus, the human blood index was 0.72 in the non-irrigated site, 0.27 in the unplanned rice site, and 0.11 in the planned rice site. This difference was significant (
2 = 26.438, df = 2, P < 0.001). In the non-irrigated agro-ecosystem, An. funestus was more anthropophilic than An. arabiensis (
2 = 8.555, df = 1 P < 0.01) but the difference was not significant for the other sites. The blood meals for An. coustani (n = 14), An. maculipalpis (n = 2), and An. rufipes (n = 2) were of bovine origin, but An. pharoensis (n = 7) and An. pretoriensis (n = 1) were not tested for blood meal sources because all the adults collected were unfed. The mean ± SE human biting rate per person per night for An. arabiensis in the non-irrigated site was 0.46 ± 0.02 and was significantly lower than the values of 0.97 ± 0.12 in the planned rice site and 0.64 ± 0.05 in the unplanned rice site (F = 39,421, df = 2, 71, P < 0.01). Similar values for An. funestus were 0.004 ± 0.00 and 0.011 ± 0.00 in the planned and unplanned rice sites, respectively, and these values were significantly lower than the value of 0.20 ± 0.01 SE in the non-irrigated site (F = 10.036, df = 2, 71, P < 0.01).
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2 = 2.624, df = 2, P > 0.05). In the planned rice and non-irrigated sites, sporozoite-positive An. arabiensis was observed in December and March whereas in the unplanned rice site, they were detected in October and December. Sporozoite-positive An. funestus were only detected in planned rice (in December) and non-irrigated sites (in January and February) (Table 2
2 = 1.014, df = 1, P > 0.05). None of the other species (An. pharoensis, An. coustani, An. maculipalpis, An. pretoriensis, and An. rufipes) were positive for P. falciparum circumsporozoite proteins.
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| DISCUSSION |
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It was apparent that in rice irrigated villages, only a small proportion of mosquitoes that entered the house actually fed on humans. Anthropophily for both species was lowest in the planned rice village, moderate in the unplanned rice village, and highest in the non-irrigated village. These findings suggest that the extent of rice cultivation has a significant impact on the blood-feeding behavior of malaria vectors. These findings are consistent with those of previous reports that rice cultivation decreases the degree of human-vector contact by diverting mosquitoes to other hosts.11,12,14 It has been suggested that rice cultivation empowers the surrounding communities economically, enabling them to protect themselves against mosquito bites.31 However, a recent study showed that the three villages had similar levels of poverty and social problems and that income could not explain the observed differences in the degree of anthropophily.14 Nonetheless, because of the greater number of mosquitoes entering the house in irrigated areas, the resulting nuisance was intolerable and many people recognized the need to sleep under bed nets compared with the low-density non-irrigated areas.14 High bed net use and large numbers of cattle in irrigated areas are likely to cause a shift from human to cattle feeding by mosquitoes. These findings are consistent with the previous idea that zooprophylaxis may be a potential malaria control strategy in the area.14 It has also been suggested that anthropophily in An. gambiae s.s. increases with age29 but in contrast, there are reports that cattle feeding increases the parity rate for this species.32 Neither of the two opposing factors was evaluated for An. arabiensis in the present study. Further studies are necessary to assess how various components of disease transmission influence the blood-feeding behavior of malaria vectors in similar areas.
There was no significant difference in the risk of malaria transmission by An. arabiensis among the three villages despite the greater variation in mosquito densities and biting rates. These results indicate that rice cultivation in Mwea has no effect on malaria transmission by this species. Many studies in rice irrigated areas of Africa have shown that malaria transmission can be higher,7,33 similar,9 or less11,12 than in neighboring non-irrigated areas. Because different areas may differ in many aspects even before introduction of water development projects, whether an irrigation project will alter malaria transmission dynamics depends on the local epidemiologic context, particularly the entomologic parameters.28,34 Our results suggest that the HBI and low vector density were among the factors partly accounting for the lack of a significant difference in the indices of malaria transmission among the three villages. The low HBI had a significant influence in irrigated villages whereas the low vector densities were a limiting factor in the non-irrigated village. Other factors that could have accounted for this observation but were not evaluated in this study include differences in daily survivorship and vectorial capacity.31,35 A recent study by Diuk-Wasser and others36 demonstrated a positive relationship between adult survival and vectorial capacity at low mosquito densities and a negative relationship between the two variables at higher mosquito densities. Further studies in the same region showed that adult survivorship was significantly higher in the non-irrigated than in irrigated areas.37 It is therefore likely that most mosquitoes that emerged from the high-density irrigated areas were short-lived and less efficient at transmitting malaria compared with those in the non-irrigated area.
In contrast with An. arabiensis, the risk of malaria transmission by An. funestus was significantly higher in the non-irrigated village than in the irrigated villages. This indicates that rice cultivation in the study area reduces the risk of malaria transmission by An. funestus. In a study to evaluate the impact of rice cultivation on malaria prevalence in the three study sites, the prevalence of malaria parasites among children
9 years of age was 0% (n = 21), 17% (n = 53), and 54% (n = 63), in Mbuinjeru, Kiamachiri, and Murinduko, respectively.14 In our study, infective mosquitoes were observed in all three study sites, an indication that both An. arabiensis and An. funestus play a significant role in malaria transmission in the area. Mutero and others14 collected their blood samples between December 2001 and February 2002, which were approximately the same months we observed detectable levels of transmission. Our findings indicate that despite its low density relative to An. arabiensis, An. funestus does play a significant role in malaria transmission, especially in the non-irrigated areas, because of its high degree of an-thropophily, making it worthy of attention to malaria control programs in this area. We did not determine which of the nine known members of the An. funestus22 complex were present in the study area. However, based on our HBI results and the findings of previous studies in the same area,38 it is likely that An. parensis was the dominant species of An. funestus s.l. within the rice scheme as opposed to An. funestus s.s. in the non-irrigated village.
The low anthopophily of An. arabiensis, especially in irrigated areas, may account for the low rates of malaria transmission within the rice scheme despite its higher densities. This information warrants the need to explore the possibility of using zooprophylaxis as a malaria control tactic for similar areas. Zooprophylaxis controls vector-borne diseases by attracting vectors to domestic animals that can act as dead-end hosts.39 This technique can be an effective strategy for controlling malaria.40 However, domestic animals may also increase mosquito density, thereby enhancing rather than reducing malaria transmission.41 In other diseases such as Rift valley fever and Japanese encephalitis, introduction of animals may facilitate amplification and transmission of infection.42 These findings highlight the need to understand the role of domestic animals in disease transmission in similar areas before adopting zooprophylaxis as a mosquito-borne disease control strategy.
In conclusion, An. arabiensis and An. funestus were the two prominent vectors of malaria in the study sites. Our study suggests that in Mwea, there is no difference in malaria transmission by An. arabiensis between irrigated and non-irrigated areas but in contrast, there is less malaria transmission by An. funestus in irrigated than in non-irrigated areas. Among the reasons accounting for this observation was increased zoophily of mosquitoes in irrigated areas and low vector densities in the non-irrigated area. Our findings support the idea that well-studied zooprophylaxis could be an efficient tactic to aid in management of malaria and other mosquito-borne diseases in similar areas.
Received September 4, 2007. Accepted for publication October 28, 2007.
Acknowledgments: We are grateful to Professor Christian Borgemeister (Director General, International Centre of Insect Physiology and Ecology) for his strong support of this project. We acknowledge the technical support provided by James Wauna, Peter Barasa, Enock Mpanga, Peter M. Mutiga, William Waweru, Nelson Maingi, Martin Njigoya, Paul K. Mwangi, Christine W. Maina, Gladys Karimi, Irene Kamau, Nicholus Gachoki, and Naftaly Gichuki. We also thank Raphael Wanjogu (National Irrigation Board) for providing us with laboratory space to conduct the study.
Financial support: This study was supported by National Institutes of Health/National Institute of Allergy and Infectious Diseases grant no. U01A1054889 to Robert Novak.
* Address correspondence to Ephantus J. Muturi, Department of Medicine, William C. Gorgas Center for Geographic Medicine, University of Alabama at Birmingham, 206C Bevill Biomedical Research Building, 845 19th Street South, Birmingham AL 35294. E-mail: emuturi{at}uab.edu ![]()
Authors addresses: Ephantus J. Muturi, Benjamin G. Jacob, and Robert J. Novak, Department of Medicine, William C. Gorgas Center for Geographic Medicine, University of Alabama at Birmingham, 206C Bevill Biomedical Research Building, 845 19th Street South, Birmingham AL 35294. Simon Muriu, Josephat Shililu, and John Githure, Human Health Division, International Centre of Insect Physiology and Ecology, PO Box 30772, Nairobi, Kenya. Joseph Mwangangi and Charles Mbogo, Center for Geographic Medicine Research-Coast, Kenya Medical Research Institute, PO Box 428, Kilifi, Kenya.
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