The geographic distribution of onchocerciasis in the 20 participating countries of the African Programme for Onchocerciasis Control: (1) priority areas for ivermectin treatment
© Noma et al.; licensee BioMed Central Ltd. 2014
Received: 17 October 2013
Accepted: 6 July 2014
Published: 22 July 2014
The African Programme for Onchocerciasis Control (APOC) was created to control onchocerciasis as a public health problem in 20 African countries. Its main strategy is community directed treatment with ivermectin. In order to identify all high risk areas where ivermectin treatment was needed, APOC used Rapid Epidemiological Mapping of Onchocerciasis (REMO). REMO has now been virtually completed and we report the results in two articles. The present article reports the mapping of high risk areas where onchocerciasis was a public health problem. The companion article reports the results of a geostatistical analysis of the REMO data to map endemicity levels and estimate the number infected.
REMO consists of three stages: exclusion of areas that are unsuitable for the vector, selection of sample villages to be surveyed in each river basin, and examination of 30 to 50 adults for the presence of palpable onchocercal nodules in each selected village. The survey results and other relevant information were processed in a geographical information system. A panel of experts interpreted the data taking the river-based sampling into account and delineated high risk areas where the prevalence of nodules is greater than 20%.
Unsuitable areas were identified in eight countries. In the remaining areas surveys were done in a total of 14,473 sample villages in which more than half a million people were examined. High-risk areas were identified in 18 APOC countries, ranging from small isolated foci to a vast contiguous endemic area of 2 million km2 running across seven countries. In five countries the high risk area covered more than 48% of the total surface area, and 31% to 48% of the population. It is estimated that 86 million people live in high risk areas in the APOC countries.
The REMO maps have played a significant role in onchocerciasis control in the 20 APOC countries. All high-risk areas where onchocerciasis used to be a serious public health problem have been clearly delineated. This led to the creation of community-directed treatment projects that by 2012 were providing annual ivermectin treatment to over 80 million people.
One of the first challenges for APOC was to determine exactly where onchocerciasis was a public health problem and CDTi was a priority. Historical information did exist on the distribution of onchocerciasis in the 20 APOC countries in the form of reports on prevalence surveys in single or clusters of villages [9–30], reviews of the available information on the distribution of onchocerciasis in different countries [31–56] and attempts by WHO to interpret all this information and draw maps of the approximate distribution of onchocerciasis in Africa [1, 57, 58]. However, for most areas the available information was either incomplete or not accurate and reliable enough for targeting ivermectin treatment programmes [5, 59]. There was, therefore, an urgent need for comprehensive mapping of the geographic distribution of onchocerciasis in all potentially endemic countries in Africa outside the OCP . This was a vast area of some 14 million km2 and it would have been extremely difficult to determine the distribution of onchocerciasis throughout this area using the mapping and survey methods that were current at that time . The distribution of different vector species and the location of the breeding sites were not known, while the principal diagnostic tool in use was a parasitological method based on the microscopic examination of skin biopsies; a time-consuming and invasive method. In response to these problems, a rapid assessment method for the Rapid Epidemiological Mapping of Onchocerciasis (REMO) was developed in 1993 and successfully tested at scale in Cameroon and Nigeria .
The geographic distribution of onchocerciasis is largely determined by the ecology and behavior of the vector . Simulium vector flies breed in fast flowing, well oxygenated rivers and streams with adequate nutrients. The adult female flies disperse mainly along the river and their flight range rarely exceeds more than 15 km away from the river when seeking a blood meal [63–65]. Hence, the highest prevalence rates of onchocerciasis infection are almost invariably observed among villages located close to rivers with Simulium breeding sites. REMO uses this knowledge to identify potentially endemic areas and to select sample villages to be surveyed taking the ecology and the spatial behaviour of Simulium vectors into account.
The selected sample villages are surveyed using a non-invasive rapid assessment method to estimate their level of onchocerciasis endemicity. In each selected village a sample of adults is examined for the presence of palpable subcutaneous onchocercal nodules and the prevalence of nodules is calculated. Previous studies had shown that the severity of onchocercal disease in the community, and thus its public health importance, is related to the level of onchocerciasis endemicity as also reflected in the prevalence of nodules [2, 66, 67]. Based on available data on this relationship, an expert committee recommended in the early 1990s that, in order to control onchocerciasis as a public health problem, ivermectin treatment should be provided to all high risk communities where the prevalence of onchocercal nodules in adults was greater than 20% .
The development of REMO came just in time for APOC, which swiftly adopted this rapid assessment method and supported its large-scale application for mapping onchocerciasis in all APOC countries in order to identify priority areas for CDTi . REMO thus became an essential first step in the planning and implementation of national onchocerciasis control programs supported by APOC. Large scale application of REMO started in 1996, and has since been applied in phase with the expansion of CDTi to cover all potentially endemic areas in APOC countries.
To date, virtually all potentially endemic areas in the 20 APOC countries have been mapped for onchocerciasis through REMO. Some partial results have been reported previously [59, 69–73]. We report the complete results of the REMO surveys and the spatial analysis of the REMO data in two articles. The present article summarises the REMO surveys and shows the results of an expert analysis to delineate high-risk areas where onchocerciasis was a major public health problem and where ivermectin treatment was a priority for onchocerciasis control. These REMO maps of high risk areas have been the basis for the delineation of the CDTi projects that by 2011 were treating over 80 million people in the APOC countries . In a companion paper we report the results of a geostatistical analysis of the REMO data using a methodology that was recently introduced in APOC  and that has allowed the mapping of onchocerciasis endemicity levels and the estimation of the number of people that would have been infected in the absence of control .
The division of the area that needs to be mapped into biogeographic zones that are reasonably uniform with regard to their potential for onchocerciasis and that cover the watersheds of the main local drainage systems. Areas that are known to be unsuitable for the vector for ecological reasons (absence of fast flowing water, high altitude, etc) and uninhabited national parks are excluded at this stage.
- 2)The selection of a sample of villages to be surveyed in order to determine whether onchocerciasis is present or not and, if present, to give a rough indication of the distribution and severity of onchocerciasis in the zone. This sampling uses the available information on the local river system and involves two steps for each river basin:
Selection of villages at high risk locations. These are villages that are located in places where the risk of onchocerciasis is likely to be highest, i.e. close to the river bank, close to rapids and without other human settlements between them and the river. At least one high risk village is to be sampled every 30 to 50 km along the river and each major tributary.
Selection of secondary villages. For each high risk village, a related secondary village is selected which is located at least 10 km away from the river and the likely source of vectors.
Rapid epidemiological assessment (REA) surveys in the selected villages. A sample of 30-50 adults aged 20 years or more who are resident in the village for at least 10 years are examined for the presence of nodules, and the percentage of adults with palpable onchocercal nodules is calculated. The geographic coordinates of each village are collected using a hand-held Global Positioning System (GPS) receiver in a central location in the village.
The full details of the REMO methodology are provided in the WHO Manual for Rapid Epidemiological Mapping of Onchocerciasis .
REMO implementation in APOC countries
The implementation of REMO was the responsibility of the Ministry of Health of each APOC country in collaboration with its partners in onchocerciasis control and with technical and financial support from APOC . Each APOC country has a National Onchocerciasis Task Force (NOTF) that brings the various partners together in order to coordinate the onchocerciasis control activities in the country. The manager of the NOTF is the responsible officer for onchocerciasis control in the Ministry of Health. The NOTF of each country submitted to APOC a plan of action and budget for REMO. Upon approval this plan, APOC provided the agreed funding and external experts to train and support national teams with the implementation of REMO. Some REMO activities were funded and/or undertaken by NGDOs, but always under the auspices of the Ministry of Health and following the WHO guidelines for REMO surveys.
During the first years of APOC, priority for REMO was given to those areas where local partners were ready to support CDTi. Nigeria was one of the first and largest countries to implement REMO. Though all REMO surveys were reportedly undertaken according to the standard procedures as described in the REMO manual, there was no direct APOC involvement in the actual survey activities in the field during the first years. The main system of quality control was the review of the survey results by the Technical Consultative Committee (TCC) of APOC, a group of experts who technically advise the programme. Where TCC had reservations about survey results, the REMO surveys were repeated with participation of external experts. In case the results of these validation surveys deviated from the initial findings (which did happen in a few cases ), the original data were replaced by the validation data. During the first years, there was incomplete standardization of reporting: all REMO teams did report for each surveyed village the critical survey data, i.e. the village coordinates and the percentage of examined adults with nodules, but other information such as the date of survey or the number of adults examined were not always included in the reports to APOC. Furthermore, during the first years handheld GPS receivers were not yet widely available and village coordinates were often obtained using local maps. However, after this first period, all REMO surveys were implemented using handheld GPS receivers provided by APOC and with the participation of external experts to ensure standardized quality control and reporting.
Analysis of REMO data
The analysis of the REMO data was undertaken using two analytical approaches: an expert analysis using the original REMO analytical methodology for which the results are reported in this article, and a geostatistical analysis which is described in the companion article .
Geographic information system (GIS)
All relevant geographic information was processed in a geographic information system. Initially Atlas GIS was used but since 2010 all geographic information was processed and analysed using ArcGIS 10 (ESRI Inc., Redlands, USA) including the analysis reported in his article.
National and administrative boundaries, rivers and lakes, national parks, main roads, villages and urban settlements (source WHO HealthMapper http://health-mapper-release-5.software.informer.com).
Topography and relief (source ESRI http://services.arcgisonline.com/ArcGIS/rest/services/World_Shaded_Relief/MapServer)
Population density at 30 arc seconds resolution (source LandScan http://www.ornl.gov/sci/landscan/index.shtml)
Areas that are unsuitable for onchocerciasis as defined during the first REMO phase (see above)
Geographic coordinates of all surveyed villages and for each surveyed village the percentage of examined persons who had palpable nodules, referred to as the “prevalence of nodules” or “nodule prevalence” in this article.
The original analytical approach based on expert analysis is described in detail in the REMO manual and the Guidelines for Analysis of REMO data [77, 78]. Using the GIS a group of onchocerciasis experts reviewed and interpreted the REMO survey data while taking the original river-based sampling into account. The boundaries of the biogeographic zones and river basins that were used in the sampling were displayed on a map, together with spatial information on rivers and their affluents, lakes, national parks, elevation, landscape, population and administrative boundaries. For each surveyed village, the nodule prevalence was displayed as a pie chart at the location defined by its GPS coordinates. Using these maps, the experts tried to delineate the areas where the prevalence of nodules is greater than 20%, and where ivermectin treatment is therefore indicated (High Risk areas), and the areas where the prevalence of nodules is below the 20% threshold, including areas where the prevalence of nodules was zero, and where ivermectin treatment is not needed or not a priority (Low Risk areas).
A similar process was applied in the analysis of the REMO survey data for all other surveyed areas in the APOC countries. The classifications of all these surveyed areas was reviewed in detail in March 2010 by an APOC panel of 10 onchocerciasis epidemiologists and entomologists who refined some of the classifications and endorsed the overall map. A final round of review was undertaken in January 2013 by the staff of the epidemiological evaluation unit of APOC following some additional classifications and refinements, notably for Ethiopia where another round of REMO surveys were undertaken in 86 villages in 2012.
Estimation of the population at high risk
The population at high risk is here defined as the rural population living in the high risk areas identified in the expert analysis. Onchocerciasis is not normally transmitted in urban settlements and urban populations that are not engaged in rural activities are excluded from estimates of the population at high risk. This exclusion criterion is not just a function of population size but depends on an assessment of the degree of urbanisation and the corresponding lack of exposure to the vector. Based on local assessments, each CDTi project decides which communities should be classified as urban and not at risk of onchocerciasis. We have, therefore, used an estimate of the density of the population at risk that is based on reported data for the target population for ivermectin treatment in ongoing CDTi projects. For each country the average population density in onchocerciasis endemic areas was estimated by dividing the reported target population in CDTi projects by the surface area for these projects. The total population in high risk areas was subsequently obtained by multiplying for each country the high risk surface area and the average population density for onchocerciasis endemic areas in that country.
REMO is the first step in national planning for onchocerciasis control and in each APOC country it was undertaken under the auspices and ethical responsibility of the Ministry of Health. All REMO surveys were undertaken according to the WHO recommended methodology that was reviewed and approved by the Technical Consultative Committee of APOC and the Ministries of Health of the APOC countries. All REMO implementation plans were reviewed and cleared by the respective Ministry of Health and TCC. A major ethical consideration was the need to have reliable information on the geographic distribution of onchocerciasis to ensure that all populations at high risk of onchocerciasis would receive ivermectin treatment. In each village, the importance of the survey for possible future ivermectin treatment in the village was explained and village members were encouraged to participate in the examination. Participation was not compulsory and those who were requested to participate but decided not to come to the examination point, were not followed up. The examination itself was a simple non-invasive examination undertaken in a secluded location in the village.
Unsuitable and uninhabited areas
The first step in the implementation of REMO in each country involved the identification of possible areas that are unsuitable for onchocerciasis transmission, and where, therefore, no further surveys were required. Large unsuitable areas were identified in eight countries: Central African Republic, Chad, Congo, Ethiopia, Kenya, Sudan, South Sudan and Tanzania. They included vast arid areas in Chad, Sudan and Ethiopia and swamps in Congo and South Sudan where the lack of fast flowing water made these areas unsuitable for Simulium breeding. In Sudan the area along the Blue Nile was also classified as unsuitable for onchocerciasis based on reports of previous surveys that found no cases of human onchocerciasis in the area even though the vector was sometimes present at very low densities . Most of Kenya was classified as unsuitable on the basis of extensive previous entomological work that had shown that the only vector in the country was S.naevi and that its distribution was restricted to Nyanza province in the West of the country [25, 39]. The dry central plateau of Tanzania was classified as being too dry to be suitable for Simulium breeding.
National parks were also excluded from further analysis. Population density was not used as an exclusion criterion. However, for areas where, according to the LandScan database, the population density is extremely low (<1 person per km2) this information is displayed on the maps.
Summary of the REMO surveys undertaken in the 20 APOC countries
# of persons examined
Examined persons with palpable nodules
Prevalence of nodules per village (%)
Central African Republic
Democratic Republic of Congo
In 92% of the surveyed villages, the recommended number of 30 to 50 adults was examined for palpable nodules. In 2.2% of the villages, more than 50 adults were examined and in 5.8% of villages the number of examined adult males was less than 30. In some areas the selected villages were often too small to reach the recommended minimum of 30 adult males for examination. This was notably the case in Gabon where the threshold of 30 adults could not be reached in 62% of the selected villages and where on average 28 adults were examined per village (Table 1), and in parts of Mozambique and Rwanda where some 25% of selected villages were too small to obtain a sample of at least 30 adult males. In the original sample there were 60 very small settlements with less than 12 adult males examined and these were excluded from the analysis.
Of the total of 576,368 persons examined, 22.0% had palpable onchocercal nodules. The prevalence of palpable onchocercal nodules varied significantly between villages and countries. In all countries there were surveyed villages where the prevalence was zero. The maximum prevalence per village varied from 4.8% in Kenya to 100% in five countries (Cameroon, Central African Republic, Democratic Republic of the Congo, Tanzania and Uganda). For Gabon, Kenya, Mozambique and Rwanda the highest prevalence of nodules per village was between 4.8% and 16.2%, i.e. everywhere below the high risk threshold of 20%. The highest median prevalence of 50% was observed in the Central African Republic, followed by Cameroon, Democratic Republic of Congo, Tanzania and Uganda with a median prevalence of palpable onchocercal nodules per village between 20% and 23%.
High risk areas
There are some areas that could not be classified because no REMO surveys had been done. However, as shown in the map, many of these unclassified areas had a very low population density of <1 person per km2. Only for a few more densely populated areas there is no survey data available, notably in Tanzania, Angola and the Democratic Republic of Congo. For some unsurveyed but populated areas the surrounding zones were all classified as high risk while the environment was similar in terms of climate, hydrology, vegetation and altitude. Such areas were therefore classified as “assumed high risk” pending future validation by additional surveys where still considered necessary. Likewise, some unsurveyed populated areas were classified as “assumed low risk” if all the surrounding areas were consistently classified as low risk and the environment was similar between those areas.
High risk area and population by country
Surface* (1000 km2)
Population per km2 in CDTi areas
High risk area
Surface (1000 km2)
% of country surface
% of country population
In Gabon and Mozambique only 0.3% of the surface was classified as a high risk area. In both cases, it concerned a narrow border area where no REMO surveys were done within the country itself but where the presence of a large endemic focus on the other side of the border in the neighbouring country suggests that there may be also some hyperendemic villages on the banks of the border river within Gabon and Mozambique. Except for those narrow border areas, the REMO data for these two countries do not indicate the presence of any high risk areas.
Population of high risk areas
The total population of the high risk areas is estimated at 86 million for the year 2011, corresponding to some 15% of the total population of the 20 APOC countries. Most of the high risk area population comes from Nigeria (26 million) and the Democratic Republic of Congo (28 million). In Cameroon, the Central African Republic, the Democratic Republic of Congo and Liberia, the population of high risk areas represents some 31 to 48% of the total population of the country.
APOC’s first major task was to determine where onchocerciasis was a public health problem and where ivermectin treatment should therefore be targeted. It was a daunting challenge because of the vast area in the 20 APOC countries where onchocerciasis was potentially endemic. Only by using the rapid assessment method REMO, APOC was able to map the high risk areas within a limited period of time so that CDTi projects could be launched without significant delays. However, even though REMO is a rapid assessment method, its implementation remained a major effort in which more than 14,000 villages were surveyed and over half a million people examined for the presence of palpable nodules. With the exception of a few small areas, REMO has now been completed in all APOC countries. A comprehensive map of the geographic distribution of onchocerciasis in the 20 APOC countries has been produced which clearly delineates the high risk areas where ivermectin treatment is a priority.
High risk areas were identified in all APOC countries except Kenya and Rwanda. They ranged from small, isolated onchocerciasis foci (e.g. the island of Bioko in Equatorial Guinea) to a vast contiguous endemic area of more than 2 million km2 that runs across seven countries. In five countries (Cameroon, Central African Republic, the Democratic Republic of Congo, Liberia and South Sudan) the high risk area covers more than 49% of the total surface area of the country, and between 31% and 49% of the total population. An estimated 86 million people (2011 estimate) live in high risk areas in the 18 APOC countries, with the majority living in the Democratic Republic of Congo (28 million) and Nigeria (26 million).
In Kenya and Rwanda there were no areas classified as high risk. In Kenya, only 8 persons out of 3822 examined (0.2%) had palpable nodules and given that nodule palpation is not 100% specific , these results appear to confirm the previous conclusion that onchocerciasis has been eliminated from Kenya . In Rwanda the overall nodule rate was also extremely low, suggesting that the country is non-endemic for onchocerciasis.
The high risk maps confirmed that the REMO surveys were very necessary. Several of the newly identified high risk areas were previously not even reported to have onchocerciasis , e.g. five of the six high-risk areas in Angola, the high risk areas in the north-west and south-east of the Democratic Republic of Congo, the high risk areas in the extreme north of Nigeria and in the extreme south of Cameroon, and the extent of the high-risk zone in south Tanzania. Furthermore, for most areas that were previously thought to be endemic for onchocerciasis, the available data were insufficient to assess the level of endemicity and thus the importance of the disease as a public health problem. The REMO data clarified where the disease was a severe public health problem and where ivermectin treatment was a priority, thus providing the critical information needed for launching CDTi in the APOC countries.
REMO has limitations that should be taken into account when interpreting the risk maps. The first relates to the use of onchocercal nodule palpation as an indicator of onchocerciasis infection. Onchocercal nodule palpation is subject to observer variation, and although APOC has provided standard training in nodule palpation to all examiners, this is unlikely to have eliminated all observer variation between the many examiners in the different countries. Secondly, the prevalence of nodules is only a proxy for the risk of onchocercal disease, and the prevalence of 20% palpable nodules only an approximate threshold for the endemicity level where the risk of severe onchocercal complications becomes significant. The differentiation between high and low risk areas is based on previous work which has shown that onchocercal blindness is rare when the prevalence of microfilaria is below 35% (corresponding to a nodule prevalence of about 20%), but that the risk of blindness increases with the prevalence of microfilaria, and becomes very severe when the prevalence of microfilaria exceeds 60% (or 40% nodule prevalence). Given that there is no sharp cut off point for the risk of onchocercal disease and taking into account the small average sample size of 40 adults examined per village, the experts tended to be cautious when the prevalence of nodules was around 20% and classified such areas as requiring ivermectin treatment.
There was significant variation in village sampling density between countries. Some countries applied the minimum of at least one sample village every 30-50 km along the main rivers and affluents, as recommended in the REMO manual. Other countries and some CDTi projects selected REMO villages at much shorter distances. However, in none of the surveyed areas did the average distance between neighbouring sample villages exceed the recommended distance of 30 to 50 km. There was limited variation in the number of adults examined per village, and in 92% of the sample villages the recommended number of 30 to 50 adults was examined for palpable nodules. Only in 5.8% of the villages was the number of examined adults less than 30, and the reason was usually that the selected villages were too small to reach the required number of 30 adults who were willing to participate in the examination. This was notably the case for sample villages throughout Gabon and in parts of Mozambique and Rwanda.
Although the process and criteria used in the expert analysis are defined in the REMO manual, there remains a substantial subjective element in the classification of risk areas using the expert approach. For many river basins the risk pattern was very clear, e.g. when the prevalence for all surveyed villages was greater than 20% and the whole basin was classified as a high risk area, or when all prevalence rates were near zero and the whole basin is classified as low risk. However, for other river basins, the results were more variable making it sometimes very difficult to draw the boundary between areas where the prevalence was above or below the 20% threshold. In the original REMO guidelines, it was proposed to undertake additional surveys in areas where the epidemiological pattern was not sufficiently clear in order to improve the classification. However, additional surveys did not prove a solution in borderline areas where the prevalence of onchocercal nodules fluctuates around 20%. The experts tended to classify such areas as high risk to ensure that subpopulations at high risk onchocerciasis were not denied ivermectin treatment. Hence, the expert analysis had a tendency to overestimate high risk areas.
The reliability of the estimates of the population at high risk depends on the population density estimates used. We estimated this population density by the average population density in the CDTi projects in each country. This provides, in our opinion, the most reliable estimate of the density of the population at risk in onchocerciasis endemic areas as it excludes urban populations that are not considered to be at risk. However, these estimates are based on reported population data for CDTi projects. These reported data may not always be reliable, especially during the first years of a CDTi project when it is not yet covering all villages in the project area or during later years when community directed distributors (CDD) sometimes only report the population eligible for treatment rather than the total population in the village. In both cases the effect would have been underestimation of the population at high risk.
The REMO maps have played a significant role in onchocerciasis control in the APOC countries. The clear delineation of high risk areas has led to the creation of more than 100 CDTi projects that by 2012 were covering a total population of 107 million people and treating over 80 million of them who were eligible for treatment . By the year 2013, CDTi projects were covering nearly all high risk areas in the APOC countries, thus ensuring the control of the disease as a public health problem and preventing 2 million Disability Adjusted Life Years (DALYs) per year [81, 82]. The main exception was the Democratic Republic of Congo where the implementation of CDTi has been delayed because of civil unrest. However, in this country the coverage of CDTi is now expanding rapidly, helped by a clear understanding of where the priority areas for treatment are located.
The large scale application of REMO has provided an evidence-based map of priority areas for ivermectin treatment for onchocerciasis in 20 African countries. The mapping has evolved in synchrony with the progression of onchocerciasis control, first providing detailed high risk maps for early uptake countries and subsequently mapping high risk areas in other APOC countries to guide their national CDTi planning. The final result is a detailed epidemiological map of direct operational relevance for onchocerciasis control that is unique among neglected tropical diseases. This rapid, evidence-based delineation of target areas for intervention is often quoted as one of the main reasons for the success of the African Programme for Onchocerciasis Control [81, 83].
The work presented in this paper is the result of an effective collaboration between many people and organizations at national and international levels. The Ministries of Health of the 20 APOC countries (Angola, Burundi, Cameroon, Central African Republic, Chad, Congo, Democratic Republic of Congo, Equatorial Guinea, Ethiopia, Gabon, Kenya, Liberia, Malawi, Mozambique, Nigeria, Rwanda, South Sudan, Sudan, Tanzania and Uganda) were responsible for organizing and implementing most of the REMO surveys. We would like to acknowledge the key role played by the former and current national onchocerciasis coordinators, in particular: Dr Pedro Jose Antonio, Dr Libère Ndayisenga, Dr Marcelline Ntep, Dr Justin Ndoyo, the late Dr Namangué Kimingar, Dr Kupa Mukengeshayi, Dr Jonathan Y. Jiya, Dr Yisa Saka, Dr Samson P. Baba. We would also like to acknowledge the significant contributions of the NGDO partners and their assistance in providing logistic support to the survey teams. The WHO country offices facilitated the missions of APOC technical advisors and provided logistic and administrative support to the survey teams. Most of the surveys were funded through the APOC Trust Fund and we would like to express our appreciation to the donor community for their sustained financial support to APOC which has made this region wide survey possible. Some surveys were funded by partners working at country level, including University of Barcelona, Sight Savers and the Carter Center. We are grateful to the WHO country staff and temporary advisors who provided organizational and technical support: the late Dr Pierre Ngoumou, Dr. Isabelle Nuttal, Dr. Henry Edeghere, Dr. Joseph Oye, Floribert Tepage, Jean Medard Kankou, Hilary Adie, Daddi Jima. Many APOC staff made significant contributions to REMO, and we would like to acknowledge in particular the significant contributions made by Dr Sékétéli, previous APOC director, to the first operationalisation of REMO and the expert analysis of the REMO data, and APOC administrative staff for support to the Ministries of Health staff in the preparation and organization of the REMO activities. Finally we like to express our gratitude to the communities for their warm reception of the survey teams and their active participation in the surveys.
- World Health Organization: Onchocerciasis and its control. Report of a WHO Expert Committee on Onchocerciasis Control. 1995, Geneva: World Health Organization, 1-104.Google Scholar
- Murdoch ME, Asuzu MC, Hagan M, Makunde WH, Ngoumou P, Ogbuagu KF, Okello D, Ozoh G, Remme J: Onchocerciasis: the clinical and epidemiological burden of skin disease in Africa. Ann Trop Med Parasitol. 2002, 96 (3): 283-296.View ArticlePubMedGoogle Scholar
- Benton B: Economic impact of onchocerciasis control through the African Programme for Onchocerciasis Control: an overview. Ann Trop Med Parasitol. 1998, 92 (Suppl 1): S33-S39.View ArticlePubMedGoogle Scholar
- Boatin B: The Onchocerciasis Control Programme in West Africa (OCP). Ann Trop Med Parasitol. 2008, 102 (Suppl 1): 13-17.View ArticlePubMedGoogle Scholar
- Remme JHF: The African Programme for Onchocerciasis Control: preparing to launch. Parasitol Today. 1995, 11: 403-406.View ArticleGoogle Scholar
- Thylefors B: The Mectizan Donation Program (MDP). Ann Trop Med Parasitol. 2008, 102 (Suppl 1): 39-44.View ArticlePubMedGoogle Scholar
- Gustavsen K, Hopkins A, Sauerbrey M: Onchocerciasis in the Americas: from arrival to (near) elimination. Parasit Vectors. 2011, 4: 205-PubMed CentralView ArticlePubMedGoogle Scholar
- Bush S, Hopkins AD: Public-private partnerships in neglected tropical disease control: the role of nongovernmental organisations. Acta Trop. 2011, 120 (Suppl 1): S169-S172.View ArticlePubMedGoogle Scholar
- Abayomi IO, Asaolu SO, Soyinka O: Survey of onchocerciasis within the Federal Capital Territory of Nigeria between 1981 and 1982. J Trop Pediatr. 1986, 32 (3): 104-106.View ArticlePubMedGoogle Scholar
- Buck AA, Anderson RI, Kawata K, Hitchcock JC: Onchocerciasis: some new epidemiologic and clinical findings. Results of an epidemiologic study in the Republic of Chad. Am J Trop Med Hyg. 1969, 18 (2): 217-230.PubMedGoogle Scholar
- Colas JL: Geographical distribution of onchocerciasis in the Ulanga Area, Tanzania. East Afr Med J. 1966, 43 (10): 426-429.PubMedGoogle Scholar
- Oomen AP: Onchocerciasis in the Kaffa Province of Ethiopia. Trop Geogr Med. 1967, 19 (4): 231-246.Google Scholar
- Dipeolu OO, Gemade EI: Onchocerciasis in the Benue State of Nigeria. IV. The prevalence of the disease among the population in Manor. Int J Zoonoses. 1983, 10 (1): 85-95.PubMedGoogle Scholar
- Edungbola LD: Prevalence of onchocerciasis in Ile-Ire District, (Ifelodun), Kwara State, Nigeria. Trop Geogr Med. 1982, 34 (3): 231-239.PubMedGoogle Scholar
- Edungbola LD, Asaolu SO: Parasitologic survey of onchocerciasis (river blindness) in Babana District, Kwara State, Nigeria. Am J Trop Med Hyg. 1984, 33 (6): 1147-1154.PubMedGoogle Scholar
- Fischer P, Kipp W, Bamuhiga J, Binta-Kahwa J, Kiefer A, Buttner DW: Parasitological and clinical characterization of Simulium neavei-transmitted onchocerciasis in western Uganda. Trop Med Parasitol. 1993, 44 (4): 311-321.PubMedGoogle Scholar
- Geigy R, Colas J, Fernex M: Endemic Onchocerciasis in the Ulanga Area, Tanzania. Acta Trop. 1965, 22: 70-73.PubMedGoogle Scholar
- Gemade EI, Dipeolu OO: Onchocerciasis in the Benue State of Nigeria. II. Prevalence of the disease among the Tivs living in the Kwande Local Government area. Ann Trop Med Parasitol. 1983, 77 (5): 513-516.PubMedGoogle Scholar
- Kipp W, Bamuhiga JT, Kwered EM: Onchocerciasis prevalence in previously known foci in western Uganda: results from a preliminary survey in Kabarole district. Trop Med Parasitol. 1992, 43 (2): 80-82.PubMedGoogle Scholar
- Mas J, Yumbe A, Sole N, Capote R, Cremades T: Prevalence, geographical distribution and clinical manifestations of onchocerciasis on the Island of Bioko (Equatorial Guinea). Trop Med Parasitol. 1995, 46 (1): 13-18.PubMedGoogle Scholar
- Nebout N: An important focus of onchocercosis in the south of Tchad: Baibokoum focus. Med Trop (Mars). 1971, 31 (2): 229-232.Google Scholar
- Nelson GS: Onchocerciasis in the West Nile District of Uganda. Trans R Soc Trop Med Hyg. 1958, 52 (4): 368-376.View ArticlePubMedGoogle Scholar
- Onwuliri CO, Nwoke BE, Lawal IA, Iwuala MO: Onchocerciasis in Plateau State of Nigeria. II. The prevalence among residents around the Assob River area. Ann Trop Med Parasitol. 1987, 81 (1): 49-52.PubMedGoogle Scholar
- Pedersen EM, Kolstrup N: The epidemiology of onchocerciasis in the Tukuyu Valley, South West Tanzania. Trop Med Parasitol. 1986, 37 (1): 35-38.PubMedGoogle Scholar
- Roberts JM, Neumann E, Gockel CW, Highton RB: Onchocerciasis in Kenya 9, 11 and 18 years after elimination of the vector. Bull World Health Organ. 1967, 37 (2): 195-212.PubMed CentralPubMedGoogle Scholar
- Taticheff S, Abebe M, Workneh W, Hana NG: Onchocerciasis: a prevalence study in Bebeka, Ethiopia. Trop Med Parasitol. 1987, 38 (4): 279-282.PubMedGoogle Scholar
- Ufomadu GO, Akpa AU, Ekejindu IM: Human onchocerciasis in the lower Jos Plateau, central Nigeria: the prevalence, geographical distribution and epidemiology in Akwanga and Lafia local government areas. Ann Trop Med Parasitol. 1992, 86 (6): 637-647.PubMedGoogle Scholar
- Williams JF, Abu Yousif AH, Ballard M, Awad R, el Tayeb M, Rasheed M: Onchocerciasis in Sudan: the Abu Hamed focus. Trans R Soc Trop Med Hyg. 1985, 79 (4): 464-468.View ArticlePubMedGoogle Scholar
- Workneh W, Fletcher M, Olwit G: Onchocerciasis in field workers at Baya Farm, Teppi Coffee Plantation Project, southwestern Ethiopia: prevalence and impact on productivity. Acta Trop. 1993, 54 (2): 89-97.View ArticlePubMedGoogle Scholar
- Courtright P, Johnston K, Chitsulo L: A new focus of onchocerciasis in Mwanza District, Malawi. Trans R Soc Trop Med Hyg. 1995, 89 (1): 34-36.View ArticlePubMedGoogle Scholar
- Baker RH, Abdelnur OM: Onchocerciasis in Sudan: the distribution of the disease and its vectors. Trop Med Parasitol. 1986, 37 (4): 341-355.PubMedGoogle Scholar
- Boussinesq M: Bulletin de liaison et de documentation de l'OCEAC, Volume 98. Répartition de l'onchocercose dans les états de l'OCEAC. Revue de la litterature. 1991, 37-55. Septembre 1991Google Scholar
- Crosskey RW: A review of Simulium damnosum s.l. and human onchocerciasis in Nigeria, with special reference to geographical distribution and the development of a Nigerian national control campaign. Tropenmed Parasitol. 1981, 32 (1): 2-16.PubMedGoogle Scholar
- Fain A: Distribution and prevalence of onchocerciais and its ocular complications in Zaire and Burundi. 1991, Geneva: World Health OrganizationGoogle Scholar
- Frentzel-Beyme R: The geographical distribution of Onchocerca volvulus infection in Liberia. Tropenmed Parasitol. 1975, 26 (1): 70-87.PubMedGoogle Scholar
- Lenoble RD, Kombila M, Chandenier J, Martz M, Duteutre J, Yebakima A, Gay AF, Gilles JC: Bulletin de liaison et de documentation de l'OCEAC, Volume 99. Première description de foyers d'onchocercose humaine au Gabon. 1992, 45-51. Mars 1992Google Scholar
- Mwaiko GL, Mtoi RS, Mkufya AR: Onchocerciasis prevalence in Tanzania. Cent Afr J Med. 1990, 36 (4): 94-96.PubMedGoogle Scholar
- Rampen F: The geographical distribution of onchocerciasis in Malawi. East Afr Med J. 1976, 53 (4): 251-256.PubMedGoogle Scholar
- Raybould JN, White GB: The distribution, bionomics and control of Onchocerciasis vectors (Diptera: Simuliidae) in Eastern Africa and the Yemen. Tropenmed Parasitol. 1979, 30: 505-547.PubMedGoogle Scholar
- Vinet J: L'onchocercose en Republique CentreAfricaine. 1976, Yaounde: Organisation de Coordination pour la lutte contre les Endemies en Afrique Centrale (OCEAC)Google Scholar
- Zein ZA: An appraisal of the epidemiologic situation of onchocerciasis in Ethiopia. Parassitologia. 1990, 32 (2): 237-244.PubMedGoogle Scholar
- Maertens K: Distribution of Onchocerca volvulus in the Republic of Zaire. Med Afr Noire. 1979, 26: 77-84.Google Scholar
- Maertens K: Onchocerciasis in Zaire. Int Ophthalmol. 1990, 14 (3): 181-188.View ArticlePubMedGoogle Scholar
- Ben-Sira I, Ticho U, Yassur Y: Onchocerciasis in Malawi: prevalence and distribution. Trans R Soc Trop Med Hyg. 1972, 66 (2): 296-299.View ArticlePubMedGoogle Scholar
- Carme B, Yebakima A, Samba Y, Ndienguela J: Epidemiological status of onchocerciasis in the Congo. Ann Soc Belg Med Trop. 1990, 70 (3): 181-191.PubMedGoogle Scholar
- el Sheikh H, Ghalib H, Hussein SM, Barbiero V, Mustafa MB, Williams JF: Onchocerciasis in Sudan: the Southern Darfur focus. Trans R Soc Trop Med Hyg. 1986, 80 (6): 902-905.View ArticlePubMedGoogle Scholar
- Ndyomugyenyi R: The burden of onchocerciasis in Uganda. Ann Trop Med Parasitol. 1998, 92 (Suppl 1): S133-S137.View ArticlePubMedGoogle Scholar
- Newell ED, Ndimuruvugo N: Endemic disease and clinical manifestations of onchocerciasis in the province of Rutana (Burundi). Bull Soc Pathol Exot. 1997, 90 (2): 107-110.PubMedGoogle Scholar
- Newell ED, Ndimuruvugo N, Nimpa D: Endemicity and clinical manifestations of onchocerciasis in the provinces of Cibitoke and Bubanza (Burundi). Bull Soc Pathol Exot. 1997, 90 (5): 353-357.PubMedGoogle Scholar
- Oomen AP: The epidemiology of onchocerciasis in south-west Ethiopia. Trop Geogr Med. 1969, 21 (2): 105-137.PubMedGoogle Scholar
- Resnikoff S, Lamarque D, Laure JM: Onchocerciasis and blindness in the Moyen-Chari area of Chad. Rev Int Trach Pathol Ocul Trop Subtrop Sante Publique. 1986, 63 (1–2): 185-197.PubMedGoogle Scholar
- Wegesa P: The present status of onchocerciasis in Tanzania. A review of the distribution and prevalence of the disease. Trop Geogr Med. 1970, 22: 345-351.PubMedGoogle Scholar
- Zein ZA: The epidemiology of onchocerciasis in Northwestern Ethiopia. Trop Geogr Med. 1986, 38 (1): 33-37.PubMedGoogle Scholar
- Remme JHF: The Global Burden of Onchocerciasis in 1990. Global Burden of Disease 1990. 2004, Geneva: World Health OrganizationGoogle Scholar
- Strangway WE, Strangway AK: Onchocerca volvulus in Angola, Africa. Can Med Assoc J. 1951, 64 (5): 427-429.PubMed CentralPubMedGoogle Scholar
- Burnham GM: Onchocerciasis in Malawi. 1. Prevalence, intensity and geographical distribution of Onchocerca volvulus infection in the Thyolo highlands. Trans R Soc Trop Med Hyg. 1991, 85 (4): 493-496.View ArticlePubMedGoogle Scholar
- World Health Organization: WHO Expert Committee on Onchocerciasis. Second Report. 1966, Geneva: World Health Organization, 96-Google Scholar
- World Health Organization: WHO Expert Committee on Onchocerciasis. Third report. 0512-3054 (Print). 1987, Geneva: World Health Organization, 1-167.Google Scholar
- Noma M, Nwoke BE, Nutall I, Tambala PA, Enyong P, Namsenmo A, Remme J, Amazigo UV, Kale OO, Seketeli A: Rapid epidemiological mapping of onchocerciasis (REMO): its application by the African Programme for Onchocerciasis Control (APOC). Ann Trop Med Parasitol. 2002, 96 (Suppl 1): S29-S39.View ArticlePubMedGoogle Scholar
- Remme JH: Research for control: the onchocerciasis experience. Trop Med Int Health. 2004, 9 (2): 243-254.View ArticlePubMedGoogle Scholar
- De Sole G, Baker R, Dadzie KY, Giese J, Guillet P, Keita FM, Remme J: Onchocerciasis distribution and severity in five West African countries. Bull World Health Organ. 1991, 69 (6): 689-698.PubMed CentralPubMedGoogle Scholar
- Ngoumou P, Walsh JF, Mace JM: A rapid mapping technique for the prevalence and distribution of onchocerciasis: a Cameroon case study. Ann Trop Med Parasitol. 1994, 88 (5): 463-474.PubMedGoogle Scholar
- Nwoke BEB, Shiwaku K, Takahashi H: Nigerian onchocerciasis: epidemiological perspective. Jpn J Trop Med Hyg. 1991, 19 (2): 191-201.View ArticleGoogle Scholar
- Duke BO: The differential dispersal of nulliparous and parous Simulium damnosum. Tropenmed Parasitol. 1975, 26: 88-97.PubMedGoogle Scholar
- Thompson BH: Studies on the flight range and dispersal of Simulium damnosum (Diptera: Simuliidae) in the rain-forest of Cameroon. Ann Trop Med Parasitol. 1976, 70: 343-354.PubMedGoogle Scholar
- Remme J, Dadzie KY, Rolland A, Thylefors B: Ocular onchocerciasis and intensity of infection in the community. I. West African savanna. Trop Med Parasitol. 1989, 40 (3): 340-347.PubMedGoogle Scholar
- TDR: Document TDR/TDE/ONCHO/92.2. Methods for community diagnosis of onchocerciasis to guide ivermectin based control in Africa. 1992, Geneva: World Health OrganizationGoogle Scholar
- World Health Organization: Document WHO/PBL/91.24. Strategies for ivermectin distribution through primary health care systems. 1991, Geneva: World Health OrganizationGoogle Scholar
- Tekle AH, Zoure H, Wanji S, Leak S, Noma M, Remme JH, Amazigo U: Integrated rapid mapping of onchocerciasis and loiasis in the Democratic Republic of Congo: impact on control strategies. Acta Trop. 2011, 120 (Suppl 1): S81-S90.View ArticlePubMedGoogle Scholar
- Katabarwa M, Onapa AW, Nakileza B: Rapid epidemiological mapping of onchocerciasis in areas of Uganda where Simulium neavei sl is the vector. East Afr Med J. 1999, 76 (8): 440-446.PubMedGoogle Scholar
- Gemade EI, Jiya JY, Nwoke BE, Ogunba EO, Edeghere H, Akoh JI, Omojola A: Human onchocerciasis: current assessment of the disease burden in Nigeria by rapid epidemiological mapping. Ann Trop Med Parasitol. 1998, 92 (Suppl 1): S79-S83.View ArticlePubMedGoogle Scholar
- Mace JM, Boussinesq M, Ngoumou P, Enyegue Oye J, Koeranga A, Godin C: Country-wide rapid epidemiological mapping of onchocerciasis (REMO) in Cameroon. Ann Trop Med Parasitol. 1997, 91 (4): 379-391.View ArticlePubMedGoogle Scholar
- Talani P, Missamou F, Kankou JM, Niabe B, Obengui , Moyen G: Rapid epidemiological mapping of onchocerciasis in Congo Brazzaville. Dakar Med. 2005, 50 (3): 164-167.PubMedGoogle Scholar
- World Health Organization: African Programme for Onchocerciasis Control: meeting of national onchocerciasis task forces, September 2012. Wkly Epidemiol Rec. 2012, 87 (49/50): 494-502.Google Scholar
- Zoure HG, Wanji S, Noma M, Amazigo UV, Diggle PJ, Tekle AH, Remme JH: 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. 2011, 5 (6): e1210-PubMed CentralView ArticlePubMedGoogle Scholar
- Zoure H, Noma M, Tekle AH, Diggle PJ, Giorgi E, Remme JH: The geographic distribution of onchocerciasis in the participating countries of the African Programme for Onchocerciasis Control: (2) pre-control endemicity levels and estimated number infected. Parasit Vectors. 2014, 7: 326-PubMed CentralView ArticlePubMedGoogle Scholar
- Ngoumou P, Walsh F: Document TDR/TDE/ONCHO/93.4. A manual for Rapid Epidemiological Mapping of Onchocerciasis (REMO). 1993, Geneva: UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases, World Health OrganizationGoogle Scholar
- TDR: Document TDR/TDF/COMDT/98.3. Guidelines for analylsis of REMO data using GIS. 1998, Geneva: UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases, World Health OrganizationGoogle Scholar
- Coffeng LE, Pion SD, O'Hanlon S, Cousens S, Abiose AO, Fischer PU, Remme JH, Dadzie KY, Murdoch ME, de Vlas SJ, Basáñez MG, Stolk WA, Boussinesq M: Onchocerciasis: The Pre-control Association between Prevalence of Palpable Nodules and Skin Microfilariae. PLoS Negl Trop Dis. 2013, 7 (4): e2168-PubMed CentralView ArticlePubMedGoogle Scholar
- World Health Organization: African Programme for Onchocerciasis Control: meeting of National Onchocerciasis Task Forces, September 2013. Wkly Epidemiol Rec. 2013, 88 (50): 533-544.Google Scholar
- World Health Organization: Document JAF16.8. Report of the external mid-term evaluation of the African Programme for Onchocerciasis Control. 2011, Ouagadougou: African Programme for Onchocerciasis Control, World Health Organisation, 77-Google Scholar
- Coffeng LE, Stolk WA, Zoure HG, Veerman JL, Agblewonu KB, Murdoch ME, Noma M, Fobi G, Richardus JH, Bundy DA, Habbema D, de Vlas SJ, Amazigo UV: African Programme For Onchocerciasis Control 1995-2015: model-estimated health impact and cost. PLoS Negl Trop Dis. 2013, 7 (1): e2032-PubMed CentralView ArticlePubMedGoogle Scholar
- World Health Organization: Document JAF19.4. African Programme for Onchocerciasis Contro: 18th session of the Joint Action Forum. Bujumbura, Burundi. 2012, Ouagadougou: African Programme for Onchocerciasis Control, World Health OrganisationGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.