Citation: Kelly-Hope LA, Bockarie MJ, Molyneux DH (2012) Loa loa Ecology in Central Africa: Role of the Congo River System. PLoS Negl Trop Dis 6(6): e1605. doi:10.1371/journal.pntd.0001605
Editor: Simon Brooker, London School of Hygiene & Tropical Medicine, United Kingdom
Published: June 26, 2012
Copyright: © 2012 Kelly-Hope et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: The study was supported through a grant from the Department for International Development (DFID) and GlaxoSmithKline (GSK) for research on the elimination of lymphatic filariasis. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Loa loa is a parasite that causes tropical eye worm, or Calabar swelling, a disease confined to tropical forests of Africa where it is transmitted by Tabanid flies of the genus Chrysops , . Recent disease prevalence maps published by Zouré et al.  in PLoS Neglected Tropical Diseases highlight an unusual geographical distribution in the central African region, which may be related to distinct environmental or topographical features of the region. Using geographical information systems (GIS) and remotely sensed satellite data, we examined the broad geographical and ecological parameters and specific climate variables of L. loa to highlight factors that could affect or influence the distribution of Chrysops vectors, and the potential for transmission, and to explain this unique epidemiological pattern.
The filaria parasite L. loa has assumed increasing importance in recent years, as it is associated with severe adverse events (SAEs) when some individuals receive ivermectin during mass drug distribution programmes for the control of onchocerciasis . Individuals with high L. loa microfilaremia in excess of 30,000 microfilaria/ml of blood have a higher risk of these adverse events, which are life-threatening unless treatment and care is available . Patients display symptoms of a dysfunctional central nervous system manifested as coma as a result of encephalopathy, presumptively as a result of the rapid death of L. loa microfilariae –, although the precise pathology remains unclear. Proper care usually results in full recovery, but in more remote areas access to effective care by formal health workers is often difficult with serious consequences .
L. loa was a neglected parasitic infection until the observations of its association with adverse events came to the attention of the African Programme for Onchocerciasis Control (APOC), the donor of ivermectin (Mectizan) (Merck & Co., Inc.), and the Mectizan Donation Programme. The recent paper by Zouré et al.  has defined the areas of high SAE risk following extensive surveys using the Rapid Assessment Procedure for Loiasis (RAPLOA) method, which is based on village surveys of a history of eye worm and assesses the potential risk of post-treatment L. loa encephalopathy . High risk areas are those with a prevalence of over 40% of eye worm history. Earlier studies ,  developed a spatial model to define high endemicity, which was based on ecological parameters, in particular the degree of forest cover given the association of the main vectors Chrysops silacea and C. dimidiata with moist broad leaf tropical forest habitat , , , as well as other potential environmental drivers of Chrysops ecology such as elevation and soil type.
The high prevalence of loiasis and the risks of SAEs  has been the major impediment to scaling up both the onchocerciasis  and lymphatic filariasis (LF) programmes  as both use ivermectin, which acts as a microfilaricide. The challenges of co-endemicity of the three filarial infections—Onchocerca volvulus, Wuchereria bancrofti, and L. loa—are especially important in countries such as the Democratic Republic of Congo (DRC) given its size and the number of people at risk. A recent paper  has reviewed the earlier literature on loiasis with particular reference to the DRC, and used a new micro-stratification overlap mapping (MOM) approach to demonstrate that there has been limited change in loiasis distribution over the last 50 years, that highly endemic areas coincided closely with vector distributions, and that L. loa was found in forested regions away from the main river system –. Given that the population in this region is sparse and has experienced limited change in human ecology, the current distribution of loiasis  is likely to be determined by well defined environmental, edaphic, or topographical features of the region.
Mapping and Graphing Key Associations
To determine the broad geographical and ecological parameters of L. loa, we examined the distribution of the dense tropical forests, focussing on the extent of the Congo River system and the elevation and soil type in the region , , together with specific vegetation (Normalized Difference Vegetation Index, [NDVI]) , precipitation (mm), temperature (C°), and humidity (qa) variables ,  in defined high and low loiasis areas.
The maps produced in Figure 1A and 1B show the unique shape of the high risk L. loa distribution across central Africa, with distinct east and west regions . The distribution of tropical dense forests occurs in the same geographical region, and the high risk L. loa (>40%) boundaries (Figure 1B) were found to be within the limits of the tropical dense and mosaic savanna forests of Cameroon, Central Africa Republic, Congo, DRC, Equatorial Guinea, Gabon, and Sudan, but not the edaphic (flooded) forested areas of DRC (Figure 1C).
(A, B) The loiasis map published by Zouré et al.  was imported into ArcGIS 9.3 (ESRI, Redlands, CA), and the high (>40%) and very high (>60%) prevalence areas digitised based on interpolated boundaries. (C, D, E, F) The relationship between disease risk and dense tropical forests, the Congo River and its tributaries, elevation, and soil type was examined using geo-referenced maps and data , .
In contrast, the Congo River and its extensive tributaries were found predominately in the low risk L. loa region, where the river system extended >110,000 km, at elevations of <500 m, and is located in the centre of the tropical forested region and mainly in DRC (Figure 1D). The majority of the high risk L. loa regions were where fewer river systems (~21,000 km in length) occurred at elevations between 500 and 1,000 m surrounding the Congo River system. Notably, the high risk western region showed more variability in elevation, and loiasis was lowest close to the Atlantic coast, whereas the high risk eastern region was bordered by very high elevations ranging from 1,000 to 2,000 m (Figure 1E), which geographically coincided with the outer limits of the tropical forests (Figure 1C) and different soil types (Figure 1F), a possible explanation of why loiasis was also not found in this region.
The main soil types found were classified as ferralsols, which are mineral soils that occur in tropical climates (Figure 1F). In the high risk L. loa regions, the dominant soil was orthic ferralsol, which is reddish brown in colour, fine-medium textured, usually occupying higher parts of undulating relief (slope 0%–30%) with a top soil composition of sand (29%), silt (18%), clay (53%), and nitrogen (0.22%). In contrast, in the low risk L. loa regions, the dominant soil was xanthic ferralsol, which is yellowish olive in colour, coarse textured, usually occupying lower parts of flat relief (slope 0%–8%) with a top soil composition of sand (52%), silt (8%), clay (40%), and nitrogen (0.09%). Other soil types in the study region included gleysols, nitosols, cambisols, and arenosols .
Differences in elevation and climate variables between the east and west high risk L. loa regions (>60%) and central low risk L. loa region (<20%) are shown in Figure 2. Overall, comparisons indicate significant differences in elevation, temperature, and humidity (Figure 2A, 2D, 2E), with the two high risk regions recording significantly higher mean elevations of 548–684 m, and lower mean temperatures of 22.5°C–23.2°C, and lower mean humidity measures of 0166–0.174 qa, compared with the central low risk region with measures of 417 m, 23.5°C, and 0.0184 qa, respectively. Figure 2 also highlights NDVI to be significantly higher in the central region than the west region but not the east, and that all three regions had significantly different precipitation measures.
(A–E) Environmental variables in very high (>60%) and low (<20%) prevalence areas were examined by randomly selecting 15 locations in the two high risk and one low risk areas (n = 45 in total). Underlying data on elevation (m), vegetation (NDVI), precipitation (mm), temperature (C°), and humidity (qa) – were extracted and analysed in PAWS Statistics 17.0 (SPSS, Inc., Chicago, IL).
The Congo River System and Control Priorities
This work shows clear geographical correlations between the recently published maps of high L. loa prevalence  and specific topographical and environmental parameters derived from various GIS tools and remotely sensed satellite data –. This broad perspective provides important insights into the general ecology of the disease, and factors potentially driving (or not) transmission.
The tropical dense and mosaic savanna forests are among the most important ecological determinants of L. loa as they are natural habitats of the main Chrysops spp. responsible for transmission , . Several studies carried out in Cameroon, Congo, DRC, and Nigeria confirm that disease and vector infection rates are significantly higher in forest fringe or forested areas compared with other ecological settings such as grassland savanna, sunlit river banks, forest clearings, and villages , , –. Here we highlight that the extensive L. loa and SAE risk areas  occur within the limits of tropical forests of central Africa. However, we also highlight, perhaps more importantly, that there are vast forested regions with no or low L. loa prevalence where LF may be endemic , and hence the risks of SAEs during mass drug distribution when ivermectin is used are smaller than earlier assumed.
The presence of the extensive Congo River system in the middle of the tropical forest, overlapping in low L. loa prevalence areas that are predominately in the DRC , suggests that this distinctive topographical feature may inadvertently act as a natural barrier with definable environmental characteristics that are unfavourable to Chrysops spp. This is supported by Kelly-Hope et al. , who illustrated that historical C. silacea and C. dimidiata distributions  significantly overlapped with high L. loa prevalence with few Chrysops spp. recorded in the low-lying, low risk central area of the country. Thus, the Congo River system, which has one of the largest drainage basins in the world, the greater part covering more than 1 million km2 in the DRC, potentially provides protection against L. loa to millions of people living in this region.
The geography and ecology of the Congo River basin broadly differs from the surrounding areas that appear to be more suitable for transmission of L. loa (Figures 1 and 2). Notably, the east and west high risk loiasis regions had more mosaic savanna forest areas, fewer rivers, higher elevations, steeper slopes, medium silt/clay soils, and lower temperature and humidity levels than the central low risk region, where dense and edaphic (flooded) forests, flat relief, coarse soils, an extensive network of rivers, and hot humid conditions prevail. The extent to which these factors differentiate risk, and explain the lack of loiasis in the central region, is still unclear as no studies have specifically examined this. However, some insights may be gained from detailed studies on the bionomics of main Chrysops vectors , , .
Extensive field studies of the ubiquitous and efficient vector C. silacea indicate that specific environmental conditions are needed for optimal L. loa transmission , , . This species lives in the forest canopy and has been shown to avoid deep shade and bright sunlight, tending to thrive in patchy light-shaded forest or fringe areas. It prefers to breed in slow running water, usually in mud covered in a few inches of water between nutrient rich decaying leaves in shaded undergrowth. Oviposition studies showed significant differences in the type of ground surface on which eggs were laid, with wet mud identified as the most important compared with hard, loose, or sandy soils where none were found . Larvae appear to be attracted to the colour or brightness of leaves, and adult biting rates are highest in the cooler parts of the day when temperature and humidity levels are lowest , . These biological and ecological factors, in part, may explain why loiasis prevalence is low in the Congo River basin region where vegetation is dense and shady, soils are predominately coarse, sandy and depleted in nutrients, the low-lying river system is subject to flooding , and hot humid conditions dominate year round –.
Collectively, the maps and data presented in this paper provide an important large-scale perspective on the geographical and ecological drivers of L. loa transmission. This information may help planning appropriate and targeted control for loiasis and its Chrysops vectors. More research into alternative preventive chemotherapy and/or integrated vector management together with detailed epidemiological analysis of the original RAPLOA dataset will help the national onchocerciasis and LF programmes to move forward with their goals of disease control and elimination , .
- 1. [No authors listed] (1955) Symposium on loiasis. Trans R Soc Trop Med Hyg 49: 97–157.
- 2. Boussinesq M (2006) Loiasis. Ann Trop Med Parasitol 100: 715–731.
- 3. Zouré HG, Wanji S, Noma M, Amazigo UV, Diggle PJ, et al. (2011) The geographic distribution of Loa loa in Africa: results of large-scale implementation of the rapid assessment procedure for loiasis (RAPLOA). PLoS Negl Trop Dis 5(6): e1210. doi:10.1371/journal.pntd.0001210.
- 4. Gardon J, Gardon-Wendel M, Demanga ND, Kamgno J, Chippaux JP, et al. (1997) Serious reactions after mass treatment of onchocerciasis with ivermectin in an area endemic for Loa loa infection. Lancet 350: 18–22.
- 5. Haselow NJ, Akame J, Evini C, Akongo S (2003) Programmatic and communication issues in relation to serious adverse events following ivermectin treatment in areas co-endemic for onchocerciasis and loiasis. Filaria J 2: Suppl 1S10.
- 6. Boussinesq M, Gardon J (1997) Prevalences of Loa loa microfilaraemia throughout the area endemic for the infection. Ann Trop Med Parasitol 91: 573–589.
- 7. Wanji S, Takougang I, Yenshu EV, Meremikwu M, Enyong P, et al. (2001) Rapid assessment procedures for loiasis. Report of a multi-centre study. UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases. TDR/IDE/RP/RAPL/01.1.
- 8. Thomson MC, Obsomer V, Dunne M, Connor SJ, Molyneux DH (2000) Satellite mapping of Loa loa prevalence in relation to ivermectin use in west and central Africa. Lancet 356: 1077–1078.
- 9. Thomson MC, Obsomer V, Kamgno J, Gardon J, Wanji S, et al. (2004) Mapping the distribution of Loa loa in Cameroon in support of the African Programme for Onchocerciasis Control. Filaria J 3: 7.
- 10. Fain A (1969) [Notes sur la distribution géographique de la filaire Loa loa et des tabanides du genre Chrysops au Congo et au Rwanda]. Ann Soc Belg Méd Trop 49: 499–530.
- 11. World Health Organization/African Programme for Onchoceriasis Control (WHO/APOC) (2011) 15 years of APOC, 1995–2010. Ouagadougou, Burkina Faso: African Programme for Onchoceriasis Control.
- 12. World Health Organization (WHO) (2010) Progress report 2000–2009 and strategic plan 2010–2020 of the global programme to eliminate lymphatic filariasis: halfway towards eliminating lymphatic filariasis. WHO/HTM/NTD/PCT/2010.6. Geneva: WHO.
- 13. Kelly-Hope LA, Thomas BC, Bockarie MJ, Molyneux DH (2011) Lymphatic filariasis in the Democratic Republic of Congo; micro-stratification overlap mapping (MOM) as a prerequisite for control and surveillance. Parasit Vectors 4: 178.
- 14. Fain A, Elsen P, Wéry M, Maertens K (1974) Les filarioses humaines au Mayumbe et dans les regions limitrophes (République du Zaire). Evaluation de la densite microfilarienne. Ann Soc Belg Méd Trop 54: 5–34.
- 15. Fain A (1947) Répartition et etude anatomo-clinique des filarioses humaines dans le territoire de Banningville (Congo Belge). Ann Soc Belg Méd Trop 27: 25–66.
- 16. World Resources Institute (WRI) GIS data files: [Réseau hydrographique linéaire de la RDC, 2009] and [Carte de végétation de la République Démocratique du Congo et des régions alentours (GlobCover land cover), 2008]. Washington (D.C.): DIAF, IGC, EMCNT, WRI. Available: http://www.wri.org/. Accessed 31 May 2012.
- 17. Food and Agricultural Organization (FAO) (2003) The digital soil map of the Food and Agricultural Organization of the United Nations. Version 3.6. Rome: Land and Water Development Division, FAO. Available: http://www.fao.org/. Accessed 31 May 2012.
- 18. United States Geological Survey (USGS) (2011) Normalized difference vegetation index. LandDAAC MODIS version_005. Reston (VA): USGS. Available: http://iridl.ldeo.columbia.edu/SOURCES/.USGS/.LandDAAC/.MODIS/.version_005/. Accessed 31 May 2012.
- 19. National Oceanic and Atmospheric Administration (NOAA) (2009) Famine early warning system. Africa daily ARC precipitation: CPC/FEWS Africa rainfall climatology. Washington (D.C.): NOAA. Available: http://iridl.ldeo.columbia.edu/SOURCES/.NOAA/.NCEP/.CPC/.FEWS/. Accessed 31 May 2012.
- 20. National Oceanic and Atmospheric Administration (NOAA) (2011) Monthly and daily diagnostic above ground temperature and specific humidity from NOAA NCEP-NCAR CDAS-1: Climate Data Assimilation System I; NCEP-NCAR Reanalysis Project. Washington (D.C.): NOAA. Available: http://iridl.ldeo.columbia.edu/SOURCES/.NOAA/. Accessed 31 May 2012.
- 21. Noireau F, Nzoulani A, Sinda D, Itoua A (1990) Chrysops silacea and C. dimidiata: fly densities and infection rates with Loa loa in Chaillu mountains, Congo Republic. Trans R Soc Trop Med Hyg 79: 566–567.
- 22. Wanji S, Tendongfor N, Esum M, Atanga SN, Enyong P (2003) Heterogeneity in the prevalence and intensity of loiasis in five contrasting bioecological zones in Cameroon. Trans R Soc Trop Med Hyg 97: 183–187.
- 23. Crewe W (1956) The bionomics of Chrysops silacea, its life- history and its role in the transmission of filariasis [PhD thesis]. University of Liverpool, UK.
- 24. Crewe W, Williams P (1961) The bionomics of the tabanid fauna of streams in the rain-forest of the southern Cameroons. I. Oviposition. Ann Trop Med Parasitol 55: 363–378.
- 25. Bwangoy JRB, Hansen MC, Roy DP, De Grandi G, Justice CO (2010) Wetland mapping in the Congo Basin using optical and radar remotely sensed data and derived topographical indices. Remote Sensing of Environment 114: 73–86.