- Open Access
Integrated mapping of lymphatic filariasis and podoconiosis: lessons learnt from Ethiopia
Parasites & Vectorsvolume 7, Article number: 397 (2014)
The World Health Organization (WHO), international donors and partners have emphasized the importance of integrated control of neglected tropical diseases (NTDs). Integrated mapping of NTDs is a first step for integrated planning of programmes, proper resource allocation and monitoring progress of control. Integrated mapping has several advantages over disease specific mapping by reducing costs and enabling co-endemic areas to be more precisely identified. We designed and conducted integrated mapping of lymphatic filariasis (LF) and podoconiosis in Ethiopia; here we present the methods, challenges and lessons learnt.
Integrated mapping of 1315 communities across Ethiopia was accomplished within three months. Within these communities, 129,959 individuals provided blood samples that were tested for circulating Wuchereria bancrofti antigen using immunochromatographic card tests (ICT). Wb123 antibody tests were used to further establish exposure to LF in areas where at least one ICT positive individual was detected. A clinical algorithm was used to reliably diagnose podoconiosis by excluding other potential causes of lymphoedema of the lower limb.
A total of 8110 individuals with leg swelling were interviewed and underwent physical examination. Smartphones linked to a central database were used to collect data, which facilitated real-time data entry and reduced costs compared to traditional paper-based data collection approach; their inbuilt Geographic Positioning System (GPS) function enabled simultaneous capture of geographical coordinates. The integrated approach led to efficient use of resources and rapid mapping of an enormous geographical area and was well received by survey staff and collaborators. Mobile based technology can be used for such large scale studies in resource constrained settings such as Ethiopia, with minimal challenges.
This was the first integrated mapping of podoconiosis and LF globally. Integrated mapping of podoconiosis and LF is feasible and, if properly planned, can be quickly achieved at nationwide scale.
The neglected tropical diseases (NTDs) are a group of more than 17 mostly chronic infectious diseases and related conditions that represent the most common illnesses of the world’s poorest people . Through continued advocacy the significant burden and impact of NTDs has been gaining global attention in recent years [1–3]. International donors, development partners and endemic country governments are allocating resources for the prevention, treatment and elimination of NTDs. To benefit from these resources, endemic countries and implementing partners are required to develop evidence-based plans, which would allow to track progress and show the effectiveness of programme implementation [4, 5].
WHO, international donors and partners have emphasized the importance of integrated --rather than vertical-- control of NTDs [6, 7]. Disease mapping is the systematic collection of georeferenced data to visualise the distribution and prevalence of a disease in space and time . It provides clear information on the geographical distribution of diseases and the population at risk, both of which are important pre-requisites for determining the areas and population to be targeted for treatment and control of NTDs . Integrated mapping of NTDs is a first step for integrated planning of programmes, efficient resource allocation and monitoring progress and impact of control [4, 9–11]. Previous integrated mapping efforts focused on a range of diseases, including trachoma, onchocerciasis, schistosomiasis, soil-transmitted helminthiases and lymphatic filariasis (LF) [9, 10, 12, 13]. Integrated mapping has several advantages over standalone surveys: costs can be reduced by coordinated use of personnel and transport, and co-endemic areas can be more precisely identified than through disease-specific mapping [4, 9, 10, 14, 15]. However, integrated mapping may be logistically intensive and methodologically difficult, because of differences in the target groups to be mapped and sites to be selected according to the ecology of each disease.
There are two principal causes of elephantiasis, or lymphoedema, in the tropics . The most common cause is LF due to the parasitic nematode Wuchereria bancrofti (and, in Asia, Brugia malayi and B. timori), which is transmitted by blood-feeding mosquitoes [17, 18]. The second principal cause is podoconiosis, a form of elephantiasis arising in barefoot subsistence farmers who are in long term contact with irritant red clay soil of volcanic origins . Podoconiosis has significant economic impact; a study in Ethiopia found that podoconiosis halves an individual’s productivity . In addition, the disease is known to be stigmatised with significant social exclusion . It has been estimated that 1 million cases of podoconiosis exist in Ethiopia, but the nationwide distribution has not been clearly defined.
The overall distribution of LF in Ethiopia is not well established. According to a recent review, approximately 30 million people are thought to be at risk of LF and Ethiopia bears 6-9% of the LF burden in sub-Saharan Africa . Despite these huge burden estimates for both LF and podoconiosis in Ethiopia --but for isolated studies and historical market and school surveys-- no nationwide podoconiosis mapping data existed, and only 112 of the country’s 817 districts had been mapped for LF . Ethiopia launched its integrated National NTD Master Plan in May 2013 , and LF and podoconiosis were identified as priority diseases along six other NTDs (i.e. trachoma, onchocerciasis, schistosomiasis, soil-transmitted helminthiases, leishmaniasis and dracunculiasis) . Mapping was identified as a critical first step before implementing any operational programming for the control and elimination of these NTDs.
In recent years advances in technology, such as the availability of remote sensed data, application of geographic information systems and mobile technology has enabled rapid mapping of NTDs [4, 25–27]. We conducted the first ever integrated mapping of podoconiosis and LF in Ethiopia using mobile-based technology.
The aims of this paper are to describe the methodology used for integrated mapping of podoconiosis and LF, document the lessons learnt, and to provide recommendations for future, similar mappings efforts.
Two focus group discussions (FGDs) of six individuals each and four in-depth interviews (IDIs) were conducted to assess the challenges faced by mapping team members, including enumerators, team leaders and supervisors. All the data were collected by one of the investigators (KD). Flexible interview guides were used to conduct IDIs and FGDs. Audiotapes were transcribed anonymously, and interviews were conducted in Amharic and were translated into English. Data were analyzed manually. Interpretation of the data was informed by experience during implementation of the survey as well as from the analysis of the qualitative data. By providing these details, we hope that investigators in other endemic countries will benefit and adapt the approach to their local context. Beyond disease-specific lessons learnt, we hope the broader issues that arose in our mapping efforts may be helpful to investigators planning similar large scale integrated projects.
Ethics approval and consent
Ethics approval was obtained from the Institutional Review Board of the Faculty of Medicine, Addis Ababa University (090/11/SPH) and the Research Governance & Ethics Committee of Brighton & Sussex Medical School (11/116/DAV) for podoconiosis mapping, and from Ethiopian Public Health Inistitute (the then EHNRI) and Liverpool School of Tropical Medicine (LSTM) (12.22) for LF mapping. Once the decision to do integrated mapping was made, amendments were requested and approved by each of these committees. Clearance to conduct the surveys was obtained from the Ministry’s of Health Regional Health Bureaus, followed by Zonal Health Offices. The study was explained to each village leader and written consent was obtained to conduct the study in each village. The purpose of the study was explained to all individuals gathered, and the inclusion criteria were explained. The study was then explained to each individual that met the inclusion criteria, and each was asked for consent. Those who provided consent were registered and requested to sign or fingerprint the consent form. Individual written informed consent was obtained from each participant (≥18 years of age). Additionally for those less than 18 years old, consent was obtained from their parents/guardian and the participant themselves provided informed assent. Confirmed W. bancrofti infection was treated by co-administration of one tablet of albendazole and ivermectin, as indicated by a dose-pole according to WHO recommendations . For those with lymphoedema, education was given about morbidity management. As part of the LF elimination and podoconiosis control programs, Ethiopia will put in place a morbidity management and disability prevention plan that will include provision of care for patients suffering from lymphoedema and hydrocele .
Integration of LF and podoconiosis mapping protocols
The mapping was conducted by a consortium of universities and institutions, including the Ethiopian Public Health Institute (EPHI, previously called EHNRI), Brighton and Sussex Medical School (BSMS), the Centre for Neglected Tropical Diseases (CNTD) at LSTM and the Global Atlas of Helminth Infections (GAHI) at the London School of Hygiene & Tropical Medicine (LSHTM). Initially, the mapping of these two diseases was planned separately. BSMS and GAHI-LSHTM were working on mapping podoconiosis and the EPHI and the CNTD/LSTM were working on mapping LF. However, through discussion with the Federal Ministry of Health of Ethiopia, the possibility of integrated mapping was raised. Experts from both mapping groups held a meeting and identified the advantages and disadvantages of integrated versus disease-specific mapping. Reasons in favour of integrated mapping included i) both LF and podoconiosis had been identified as priority NTDs in the National NTD Master Plan of Ethiopia (2013–2015) ; ii) the two conditions have similar clinical manifestations and the same target age group; iii) diagnosis of podoconiosis requires exclusion of LF; iv) analysis of the data from the 112 districts already mapped for LF indicated potential distribution overlaps in areas between 1225 and 1698 meters above sea level ; v) information from other countries indicated that integrated mapping would lead to cost savings compared to multiple disease-specific mapping exercises ; vi) the recently-launched WHO morbidity management guideline recommends the integration of management of these two diseases ; and vii) both conditions are known to exist in other countries including Cameroon, Kenya, Uganda and Tanzania, so development of a protocol for integrated mapping might have application beyond Ethiopia.
The challenges identified were i) that experts preferred targeted rather than nationwide mapping for LF, mainly due to resource constraints, ii) the lack of existence of a guideline for integrated mapping of LF and podoconiosis; iii) the absence of clear diagnostic criteria for podoconiosis; iv) the logistical challenges of large field teams; and v) that the institutions had no history of working together.
Through further discussion, two of these challenges were ameliorated by deciding to use the WHO guideline for LF mapping  as the basis for integrated mapping, and through the development of an algorithm for the diagnosis of podoconiosis (Figure 1), which was accepted by both mapping groups. Preparation for mapping then proceeded on an integrated basis.
Development of contracts
Contracts were developed between the EHNRI (now the EPHI) and both disease-specific partners (BSMS and CNTD). These set out roles and responsibilities on each side, timelines and budgets. In addition, a Data Sharing Agreement was developed between BSMS and CNTD to delineate the ownership, analysis and publication of data arising from the mapping.
Development of mapping protocol
Initially, disease-specific mapping protocols were developed. Experts in mapping and epidemiology were involved in harmonizing the two protocols and resolved differences between the two approaches. The planning drew on experience from previous large scale studies in the country such as the Malaria Indicators Survey [31, 32], previous LF mapping  and the national tuberculosis survey . After the final protocol was developed, disease specific training manual and standard operating procedure (Additional file 1) for conducting the mapping were developed.
Procurement and storage of supplies
Supplies and consumables required for the mapping were procured from local markets, while smartphones and immunochromatographic card tests (ICT) were procured internationally. The ICTs (BinaxNOW® Filariasis, Alere, Massachusetts, U.S.) were stored at a central warehouse in EPHI according to the manufacturer’s guidelines, and then transported to the field following the appropriate cold chain procedure. Each team was provided with a cold box and ice packs. On arrival at each district, the team was able to exchange the ice packs with deep-frozen ones at the respective health facility. Subsequent batches of ICTs were distributed to each team during supervisory visits. Due to limited availability of ICT cards at manufacturer level and the incertitude that the project could be accomplished on time, shipment of the ICTs occurred in four batches; this required repeated clearance through customs, and resulted in additional costs and supply chain breakdown.
“The custom clearance took a lot of time, the ICTs were sent in four batches and we have to pass through the clearance process four times, each taking 3–4 weeks. If all the ICT were shipped together, the cost of transport and storage would have been reduced. We were paying for customs on daily basis. Because of the ICT shortage there was a one week interruption of the mapping which incurred cost. I think sending the ICTs in one batch would have avoided all these problems”. [Coordinator].
One local supplier was identified following a competitive bid process. In total, 34 vehicles were hired for the entire project period and 4 additional vehicles for supervision. Each team was provided with one vehicle and travelled together during the data collection period. The supplier was responsible for covering vehicle maintenance and drivers’ allowances. One focal person from the supplier was identified, similarly one person responsible for coordination of the transport was identified on the mapping team. Any communications regarding vehicle and transport issues were dealt with by the focal persons on each side. As far as possible, the same vehicles were used throughout the mapping process, enabling each team to develop a relationship with the driver. Some of the drivers were not willing to drive in challenging areas nor to include individuals selected from the community among their passengers, thinking that it is not their duty.
“Transportation is key for the success of large scale surveys such as this and the driver is a key person. To reduce disharmony, it is important to clearly indicate what is expected from the drivers and include this in the agreement with the suppliers.” [Team leader].
“Clear agreement should be signed with car suppliers because some of the drivers were not willing to go to some difficult places. In my view, incentivizing drivers could be helpful to get their maximum support”. [Enumerator].
“The payment for the vehicle rental was a flat rate; all were paid the same price. The payment should be context specific and should consider the distance from the capital and the topography”. [Team leader].
Smartphone data collection
Motorola Atrix HD smartphones with an android application were used for data collection, each costing $136 (unit price) . Four forms - ‘Community’, ‘ICT result’, ‘Podoconiosis questionnaire’ and ‘LF questionnaire’ - were interlinked using a unique identifier. The questionnaire interface was developed by experts from the Taskforce for Global Health. The smartphones had touch screen display and exchangeable batteries, which served for 4–5 hours. They used local Wifi and mobile internet services and were linked to a server in Atlanta. After the application and questionnaires were installed, pilot testing was conducted and changes made before the start of the actual work. An internal GPS allowed the direct capture of geographic coordinates.
Data for this study were collected using the LINKS system , a mobile application (app) which allows data to be entered on mobile devices running Android and sent through a 256-bit encrypted connection to a centralized cloud-based database server. Eighty Motorola Atrix HD mobile phones used for this project; two per team and 12 spare for any emergency replacements. Hierarchal data were collected using separate surveys for community level information and for individual level information. These surveys could later be linked together to produce a full analytic dataset. The community survey focused on collecting information on the site (region, zone, woreda (district), and kebele (sub-district)), but also included population counts and information about community-wide treatment of LF and other deworming activities in the past year. The individual and examination survey included information regarding general demographics as well as an assessment of LF morbidity. The perceptions of the data collectors on smartphone-based data collection are presented in Table 1. A major concern was data ownership, as well as lack of technical expertise at local level to deal with technical and operational challenges of the android smartphones and the LINKS system.
“Currently we have an agreement with the server owner about data use. But I would prefer if the server was under our control….In the future if we get capacity building training and if we administer the server in country it would be more secure and preferable. In the current situation you feel that you can’t control your data.” [Coordinator].
Data collector training
Recruitment of the data collectors was conducted through a formal procurement procedure, with clear and specific job advertisements placed in a national newspaper; job requirements included hands-on experience of data collection and previous use of ICT or other rapid test. A training of trainers (TOT) workshop was organized by the BSMS and EPHI team for six trainers. A participatory approach was used to train the trainers on the smartphones, training manuals and testing procedures. Subsequently, a total of 136 health providers were given two days’ classroom-based training (on the mapping protocol, how to operate the smartphones and how to collect data using the android application) and one day field practice in a nearby community. On the first day, all data collectors attended a common plenary session and then breakout session according to their specialty. These individuals were formed into 34 teams each including a health officer, two nurses and a laboratory technician. The TOT training was instrumental in bringing all the trainers on to the same level.
“The TOT training was important: we had thorough discussion among ourselves [trainers], and this helped us to clear some ambiguities. During the training every trainer was talking the same language.” [Coordinator].
The mapping process
Each team was provided with supplies and assigned a vehicle for the entire mapping period. Four days were assigned for mapping two sub-districts. On the first day the district health offices were contacted, the mapping explained, permission obtained and suspected high-risk communities were identified based on review of the health records. An additional four community health workers were recruited in each district to serve as community mobilizers and translators. On the second and third days, data collection was carried out in each sub-district, and the fourth day was used to travel to the next district. In practice, three days per district was usually found to be sufficient, despite the mapping exercise being carried out during the rainy season, which often severely restricted travel.
Two-stage cluster convenience sampling was used. The primary sampling unit for the survey was the kebele (lowest level administrative structure, population approximately 5000) (Figure 1). Two kebele were selected from each woreda (district) based on reported history of lymphoedema cases collected through interviewing the woreda health officials, health providers and village leaders one day prior to the survey. Villages within each kebele were also purposively sampled. The secondary sampling unit was individuals selected within each village using systematic sampling from a random start point. Mobilization was conducted one day prior to the survey using Health Extension Workers (HEW, community health workers with an average of two attached to each kebele). Every adult in the community was informed through house-to-house visits that a survey was to be conducted, and were invited to participate. On the day of the survey, all persons aged 15 years and above living in the selected communities were invited to gather at a convenient point. The study objectives were then explained in the local language, and those willing to participate were asked to form two lines, one of men and the other of women. Fifty individuals were selected from each line using systematic sampling from a random start point, resulting in an overall sample of 50 males and 50 females. Two hundred individuals were therefore tested in each woreda. In most villages, it was possible to mobilize all adults in the community and obtain appropriate samples. Individuals were excluded from the study if they had not lived in the woreda for at least 10 years, had left the woreda for more than 6 months in the year prior to the survey, or did not provide informed consent.
Participants were requested to provide a finger-prick blood sample to be tested for circulating W. bancrofti antigen using ICTs. All the participants were tested for ICT, and results were recorded with the individual’s ID number both on the card, and on the smartphone proforma after 10 minutes. In villages where there was at least one ICT-positive individual, all ICT-negative people with lymphoedema were asked to provide 5 ml blood for antifilarial antibody (Wb123 assay) testing at the central laboratory in Addis Ababa. The clinical algorithm used in the mapping process was found to be easily understandable by the data collectors. For individuals with lymphoedema, an algorithm was used to identify possible differential diagnoses of podoconiosis (Figure 2). In this study, a confirmed podoconiosis case was defined as a person residing in the study woreda for at least 10 years, with lymphoedema of the lower limb present for more than 3 months for which other causes (i.e. LF, onchocerciasis, leprosy, Milroy syndrome, heart or liver failure) had been excluded. A diagram showing the order of stations used during data collection is shown as Figure 3. In those individuals clinically confirmed to have podoconiosis, duration of illness, family history of similar illness among blood relatives, and disease stage according to the validated podoconiosis staging system  were recorded.
“The algorithm was very clear and there was nothing difficult about it. We were given intensive training before we departed to the field. Because of these reasons it was not difficult to use the algorithm. In case there were some uncertainties, the team had a discussion to arrive at a diagnosis.” [Team leader].
“The algorithm was supplemented by pictorial presentation of different stages of podoconiosis. Any health workers who had never heard of podoconiosis could easily use the algorithm after the training.” [Enumerator].
A team from EPHI, BSMS, CNTD and other partners supervised the data collection. The supervision was intensive during the first two weeks of the start of the project. Experts experienced in both diseases and who had participated in TOT training participated in supervision. During supervision, adherence to the protocol and standard operating procedures were checked. Given the extended experience of the data collectors, adherence to the protocol was found to be very high.
“The supervision was very important. First the data was collected by smartphone; although we have demonstrated the use of smartphone to everyone there were some practical challenges in the field which needed immediate solutions. There were also some practical challenges regarding standard operating procedures, which were given solutions at the field level. Particularly during the first three days there were some problems, but in subsequent days the mapping continued very smoothly. Personally, I was checking adherence on the standard operating procedures, I was giving them practical solutions in the field. For example, some of the sites were not accessible since the data collection coincided with the rainy season. So we facilitated the use of motorbikes, boats and horses”. [Supervisor].
Data flow and monitoring
Data were uploaded in real time to an Amazon Elastic Compute Cloud (Amazon EC2) hosted central database which is managed by the Taskforce for Global Health using mobile internet services. Data summarized by district and village could be monitored by two experts given authorized access. This enabled rapid consultation and correction of data in consultation with the field teams. Additionally the national NTD control team leader at the Federal Ministry of Health had access to the interface to observe progress, though this access did not permit data editing. The data collection was conducted between June and October 2013. In total 129,959 individuals in 1,315 communities in 659 districts were mapped over a period of just three months.
Costs of the survey
According to the planning budgets, the cost of LF-only mapping covering 659districts was $1,212,209, while the budget for podoconiosis-only mapping covering 659 districts was estimated at $1,211,664. The actual financial cost of the integrated mapping of LF and podoconiosis was $1,291,400 – a significant cost reduction through savings in the areas of team training, ICT and supplies, and travel, as described in Table 2. Overall the individual survey costs 1.9 times as high as the integrated survey approach.
Summary of the results
Individual level data were available for 129,959 individuals from 1,315 communities in 659 districts. A total 8,110 individuals with lymphoedema of the lower limb were identified. A total of 139 individuals were found to be positive for W. banchrofti antigen with ICT. At least one ICT positive case was found in a total of 89 sub-districts in 75 districts.
We present here detailed practical information on integrated mapping of LF and podoconiosis in Ethiopia. By presenting our approach, we hope to provide important guidance for future integrated mapping of these and other NTDs. Notable features of the work were that we were able to implement a first integrated mapping of LF and podoconiosis as planned without any major challenges. The project received support from the community, district, regional and federal officials. The approach enabled extensive geographical coverage at relatively low cost, which would have been difficult to attain using disease-specific mapping. We hope that our approach may be implemented in other countries where both diseases are endemic. In countries where LF mapping has already been conducted, applying our approach is likely to be beneficial in monitoring LF intervention progress. In countries where there is no LF, but podoconiosis is suspected to be endemic, the approach could be applied to identify areas requiring intervention.
The mapping data were formally presented to the Federal Ministry of Health within one year of the start of the project. The results were disseminated at national level in the presence of stakeholders. The maps generated will be used to inform LF elimination and podoconiosis control programs in the country. The endemic districts identified will be the bases of scaling up interventions, while the population at risk estimations serves as the basis for expanding preventive interventions.
The integrated mapping approach clearly indicated how integrated mapping, international collaboration and mobile technology together enable the conduct of large surveys for NTDs control and elimination. There were several factors that contributed to the success of the project: firstly, the mapping was needs-based - both the national program, international donors and partners needed the data urgently; secondly, the Federal Ministry of Health was an integral part of the planning and implementation of the mapping, which greatly facilitated collaboration from district health offices and other stakeholders; and thirdly, other recent national surveys [26, 35] meant that officials on the ground were familiar with the importance of large scale surveys.
The integrated mapping proved to be an appropriate, well-received alternative to individual disease surveys. It is probable that resources were saved because the cost for adding podoconiosis to the LF mapping only added one more smartphone per team and one more person for data collection and associated tests, such as collection of serum for the antibody test. Parallel efforts and duplication of training, transport, community mobilization, ICT testing, and a database server of two independent disease-specific surveys were avoided. The resources saved from such duplication allowed more districts to be covered, which enabled mapping of all the districts of Ethiopia. In the initial plan, both disease-specific mapping projects were targeting smaller areas where the diseases were suspected. There are several other advantages of the integrated mapping approach beyond those of cost. Many logistic matters were addressed together, such as signing agreements, procurement of supplies, vehicle rental and data management. All these activities would have been duplicated if the individual surveys had been conducted separately. Importantly, the NTD experts were taken away from their daily activities for shorter periods of time.
The application of mobile technology for mapping has shown that it is a highly effective tool in a resource-constrained setting such as Ethiopia. Previous studies have documented that the time spent and the cost of mobile-based data collection was much lower than paper-based data collection . Our planning budget suggested that the cost of data collection and entry was reduced by half when moving from paper-based to mobile-based data collection. In addition, the data were available in real time allowing experts to give prompt feedback to field teams. To overcome the challenges of power shortages, a car adapter was procured and each team was able to charge their smartphones from the assigned vehicle. In addition the mobiles were kept on flight mode during data collection to save power. In areas where there was no mobile network coverage, the smartphones were able to store data form up to 10,000 individuals, making data collection extremely flexible. Throughout the process, only one mobile phone became nonfunctional, and this was because the enumerators mistakenly uninstalled the program. Each team was provided with 500 paper based questionnaire in case of any problems with the smartphones.
Strong community mobilization was another important component of the mapping. The support obtained from federal, regional and district level officials was instrumental in implementing the project without significant challenge. The involvement of village level support team, including HEWs and kebele leaders, was vital for community mobilization. Given the strong link and trust built between the HEW and the community, mobilization was achieved in a relatively short period of time. Identifying community level personnel such as HEWs is important to build trust between data collectors and the community, and to achieve adequate mobilization and consent for participation. HEWs are uniquely positioned to estimate the number of adults in the community and conduct house to house mobilization [36, 37]. The consent process is also worthy of a mention: written consent was thought to be appropriate by community leaders before the start of the community mobilization. In some communities, community leaders were consulted in the decision to participate or not. Community leaders were found to be catalysts for participation in the study.
Despite initial concerns surrounding the podoconiosis algorithm used in the current study, it was easily understood by the enumerators. Supervisors witnessed a high level of accuracy of the use of the algorithm by the data collectors. In cases where there were doubts, discussion was held among the team. Previous studies have indicated that health workers can easily identify podoconiosis from other causes of lymphoedema in endemic districts . However, in the current study, the clinical algorithm was used in areas where podoconiosis is not endemic or potentially co-endemic with LF. The combination of clinical history, physical examination and blood tests were used to reach a diagnosis. Although easily understood by the enumerators, at times the procedure was found to be lengthy and tedious: further refinement of the algorithm is important. This could be achieved through evaluating the predictive diagnostic performances of individual signs and symptoms of podoconiosis.
The skills acquired by through the integrated mapping of these two diseases are highly transferrable to other disease mapping exercises. The smartphones used for the mapping were provided to EPHI, and are currently being used for mapping STH and schistosomiasis. We have trained some 136 health workers to use smartphones in mapping and these skilled enumerators are available for future mapping activities. Integrated mapping has led to further integration of these two diseases, for example the development of an integrated morbidity management guideline for LF and podoconiosis, and the inclusion of an indicator (the number of lymphoedema cases segregated by cause and age) in the routine national health management information system (HMIS).
Although the mapping project was successfully completed in a very short period of time, it was not without obstacles. First, bringing two independently planned projects together resulted in several challenges, since the two projects were initially intended to cover different geographical areas, and the planned sample size and methodology were different. This was partly due to the absence of an integrated mapping guideline for these two diseases, and partly to this being the first nationwide mapping conducted for podoconiosis. Challenges also arose in relation to contracts and agreements: organizational cultures differ, as do expectations and formats for such agreements, so harmonizing these multi-organizational agreements took considerable time (a minimum of 3 to a maximum of 8 months). In addition, funding was not available at same time among different partners. Second, although the use of smartphones was a key strength of the mapping, technical support was provided remotely by a team from Task Force for Global Health. During the pilot phase some inconsistencies in the flow of the questionnaires were identified which needed immediate solutions. Solving simple technical problems took time due to the limitations of virtual communication. Third, the server for the data was hosted outside the country, initially giving rise to concerns over data ownership (Table 3). Fourth, the ICTs were shipped in four batches, which led to unnecessary cost, waste of time and interruption of data collection for a week.
To achieve the London Declaration of 2020 targets and the WHO road map for NTDs , rapid mapping is very important. Integrated mapping of podoconiosis and LF in Ethiopia was conducted at a large scale in a short period of time. The approach is the first of its kind and provides important lessons for co-endemic or podoconiosis-endemic countries. Strong in-country leadership, international collaboration and use of mobile technology contributed to the success of the exercise. The approach reduced costs, expanded geographical coverage and sped up the availability of data for decision makers. Data were formally presented to the Ministry of Health within one year of the start of the project, and will be used to inform national control and elimination programs.
Joint senior authors “Maria P. Rebollo, Gail Davey”.
Hotez PJ, Fenwick A, Savioli L, Molyneux DH: Rescuing the “bottom billion” through neglected tropical disease control. Lancet. 2009, 373: 1570-1576. 10.1016/S0140-6736(09)60233-6.
Molyneux DH, Malecela MN: Neglected tropical diseases and the millennium development goals: why the “other diseases” matter: reality versus rhetoric. Parasit Vectors 2011. 2011, 13 (4): 234-
Lancet: Neglected Tropical Diseases: becoming less negelcted. Lancet. 2014, 383 (9925): 1269-10.1016/S0140-6736(14)60629-2.
Brooker S, Utzinger J: Integrated disease mapping in a polyparasitic world. Geospat Health. 2007, 1 (2): 141-146.
Mwandawiro CS, Nikolay B, Kihara JH, Ozier O, Mukoko DA, Mwanje MT, Hakobyan A, Pullan RL, Brooker SJ, Njenga SM: Monitoring and evaluating the impact of national school-based deworming in Kenya: study design and baseline results. Parasit Vectors. 2013, 6: 198-10.1186/1756-3305-6-198.
World Health Organization: Working to overcome the global impact of neglected tropical diseases: first WHO report on neglected tropical diseases. 2010, World Health Organization, Accessed on 25 July 2012. Available at http://whqlibdoc.who.int/publications/2010/9789241564090_eng.pdf
World Health Organization: Accelerating Work to Overcome the Global Impact of Neglected Tropical Diseases a Roadmap for Implementation. 2012, Geneva, Switzerland: World Health Organization
Brooker SJ, Smith JL: Mapping neglected tropical diseases: a global view. Commun Eye Health. 2013, 26 (82): 32-
Dorkenoo AM, Bronzan RN, Ayena KD, Anthony G, Agbo YM, Sognikin KS, Dogbe KS, Amza A, Sodahlon Y, Mathieu E: Nationwide integrated mapping of three neglected tropical diseases in Togo: countrywide implementation of a novel approach. Trop Med Int Health. 2012, 17 (7): 896-903. 10.1111/j.1365-3156.2012.03004.x.
Kolaczinski JH, Hanson K, Robinson E, Picon D, Sabasio A, Mpakateni M, Lado M, Moore S, Petty N, Brooker S: Integrated surveys of neglected tropical diseases in southern Sudan: how much do they cost and can they be refined?. PLoS Negl Trop Dis. 2010, 4 (7): e745-10.1371/journal.pntd.0000745.
World Health Organization: Operational guidelines for rapid mapping of bancroftian filariasis in Africa (WHO/CDS/CPE/CEE/2000.9). 2000, Geneva: WHO
Finn TP, Stewart BT, Reid HL, Petty N, Sabasio A, Oguttu D, Lado M, Brooker SJ, Kolaczinski JH: Integrated rapid mapping of neglected tropical diseases in three States of South Sudan: survey findings and treatment needs. PLoS One. 2012, 7 (12): e52789-10.1371/journal.pone.0052789.
Kabatereine NB, Standley CJ, Sousa-Figueiredo JC, Fleming FM, Stothard JR, Talisuna A, Fenwick A: Integrated prevalence mapping of schistosomiasis, soil-transmitted helminthiasis and malaria in lakeside and island communities in Lake Victoria. Uganda Parasit Vectors. 2011, 13 (4): 232-
Mwinzi PN, Montgomery SP, Owaga CO, Mwanje M, Muok EM, Ayisi JG, Laserson KF, Muchiri EM, Secor WE, Karanja DM: Integrated community-directed intervention for schistosomiasis and soil transmitted helminths in western Kenya – a pilot study. Parasit Vectors. 2012, 5: 182-10.1186/1756-3305-5-182.
Sang HC, Muchiri G, Ombok M, Odiere MR, Mwinzi PN: Schistosoma haematobium hotspots in south Nyanza, western Kenya: prevalence, distribution and co-endemicity with Schistosoma mansoni and soil-transmitted helminths. Parasit Vectors. 2014, 7: 125-10.1186/1756-3305-7-125.
Molyneux DH: Tropical lymphedemas–control and prevention. N Engl J Med. 2012, 366 (13): 1169-1171. 10.1056/NEJMp1202011.
Addiss DG: Global elimination of lymphatic filariasis: addressing the public health problem. PLoS Negl Trop Dis. 2010, 4 (6): e741-10.1371/journal.pntd.0000741.
Shawa ST, Mwase ET, Pedersen EM, Simonsen PE: Lymphatic filariasis in Luangwa District. South-East Zambia Parasit Vectors. 2013, 6 (1): 299-10.1186/1756-3305-6-299.
Davey G, Tekola F, Newport MJ: Podoconiosis: non-infectious geochemical elephantiasis. Trans R Soc Trop Med Hyg. 2007, 101 (12): 1175-1180. 10.1016/j.trstmh.2007.08.013.
Tekola F, Mariam DH, Davey G: Economic costs of endemic non-filarial elephantiasis in Wolaita Zone. Ethiopia Trop Med Int Health. 2006, 11 (7): 1136-1144. 10.1111/j.1365-3156.2006.01658.x.
Davey G, Burridge E: Community-based control of a neglected tropical disease: the mossy foot treatment and prevention association. PLoS Negl Trop Dis. 2009, 3 (5): e424-10.1371/journal.pntd.0000424.
Deribe K, Meribo K, Gebre T, Hailu A, Ali A, Assefa A, Davey G: The burden of neglected tropical diseases in Ethiopia, and opportunities for integrated control and elimination. Parasit Vectors. 2012, 5 (1): 240-10.1186/1756-3305-5-240.
Shiferaw W, Kebede T, Graves PM, Golasa L, Gebre T, Mosher AW, Tadesse A, Sime H, Lambiyo T, Panicker KN, Richards FO, Hailu A: Lymphatic filariasis in western Ethiopia with special emphasis on prevalence of Wuchereria bancrofti antigenaemia in and around onchocerciasis endemic areas. Trans R Soc Trop Med Hyg. 2012, 106 (2): 117-127. 10.1016/j.trstmh.2011.10.006.
Federal Democratic Republic of Ethiopia Ministry of Health: Ethiopia National Master Plan For Neglected Tropical Diseases. 2013, Avaiable at http://ntdenvision.org/resource/ethiopia_national_master_plan_for_neglected_tropical_diseases Acessed on 03-04-2014
Brooker S, Hay SI, Bundy DA: Tools from ecology: useful for evaluating infection risk models?. Trends Parasitol. 2002, 18 (2): 70-74. 10.1016/S1471-4922(01)02223-1.
King JD, Buolamwini J, Cromwell EA, Panfel A, Teferi T, Zerihun M, Melak B, Watson J, Tadesse Z, Vienneau D, Ngondi J, Utzinger J, Odermatt P, Emerson PM: A novel electronic data collection system for large-scale surveys of neglected tropical diseases. PLoS One. 2013, 8 (9): e74570-10.1371/journal.pone.0074570.
Zhang Z, Ward M, Gao J, Wang Z, Yao B, Zhang T, Jiang Q: Remote sensing and disease control in China: past, present and future. Parasit Vectors. 2013, 6: 11-10.1186/1756-3305-6-11.
Ottesen EA, Duke BO, Karam M, Behbehani K: Strategies and tools for the control/elimination of lymphatic filariasis. Bull World Health Organ. 1997, 75 (6): 491-503.
Deribe K, Brooker SJ, Pullan RL, Hailu A, Enquselassie F, Reithinger R, Newport M, Davey G: Spatial distribution of podoconiosis in relation to environmental factors in Ethiopia: a historical review. PLoS One. 2013, 8 (7): e68330-10.1371/journal.pone.0068330.
World Health Organization: Lymphatic Filariasis Managing Morbidity And Preventing Disability. 2013, Geneva, Switzerland: World Health Organization
Jima D, Getachew A, Bilak H, Steketee RW, Emerson PM, Graves PM, Gebre T, Reithinger R, Hwang J, Ethiopia Malaria Indicator Survey Working Group: Malaria indicator survey 2007, Ethiopia: coverage and use of major malaria prevention and control interventions. Malar J. 2010, 9: 58-10.1186/1475-2875-9-58.
Kebede AH, Alebachew Z, Tsegaye F, Lemma E, Abebe A, Agonafir M, Kebede AJ, Demissie D, Girmachew F, Yaregal Z, Dana F, Getahun M, Fiseha Y, Meaza A, Dirse N, Timimi H, Sismanidis C, Tadolini M, Onozaki I: The first population-based national tuberculosis prevalence survey in Ethiopia, 2010–2011. Int J Tuberc Lung Dis. 2014, 18 (6): 635-639. 10.5588/ijtld.13.0417.
Pavluck A, Chu B, Flueckiger RM, Ottesen E: Electronic data capture tools for global health programs: evolution of LINKS, an Android-, web-based system. PLoS Negl Trop Dis. 2014, 8 (4): e2654-10.1371/journal.pntd.0002654.
Tekola F, Ayele Z, Mariam DH, Fuller C, Davey G: Development and testing of a de novo clinical staging system for podoconiosis (endemic non-filarial elephantiasis). Trop Med Int Health. 2008, 13 (10): 1277-1283. 10.1111/j.1365-3156.2008.02133.x.
Central Statistical Agency [Ethiopia] and ICF International: Ethiopia Demographic and Health Survey 2011. Addis Ababa, Ethiopia and Calverton. 2012, Maryland, USA: Central Statistical Agency and ICF International
Balabanova D, Mills A, Conteh L, Akkazieva B, Banteyerga H, Dash U, Gilson L, Harmer A, Ibraimova A, Islam Z, Kidanu A, Koehlmoos TP, Limwattananon S, Muraleedharan VR, Murzalieva G, Palafox B, Panichkriangkrai W, Patcharanarumol W, Penn-Kekana L, Powell-Jackson T, Tangcharoensathien V, McKee M: Good Health at Low Cost 25 years on: lessons for the future of health systems strengthening. Lancet. 2013, 381 (9883): 2118-2133. 10.1016/S0140-6736(12)62000-5.
Banteyerga H: Ethiopia’s health extension program: improving health through community involvement. MEDICC Rev. 2011, 13 (3): 46-49. 10.1590/S1555-79602011000300011.
Desta K, Ashine M, Davey G: Predictive value of clinical assessment of patients with podoconiosis in an endemic community setting. Trans R Soc Trop Med Hyg. 2007, 101: 621-623. 10.1016/j.trstmh.2006.12.002.
We would like to acknowledge the support of Federal, Regional, Zonal and Woreda administration for facilitating the work. We would also like to extend our thanks to the enumerators, team leaders and supervisors. This mapping was financially supported by the Wellcome Trust, DFID and The End Fund. KD is supported by a Wellcome Trust Fellowship in Public Health and Tropical Medicine [grant number 099876]. SJB is supported by a Wellcome Trust Senior Fellowship in Basic Biomedical Science [grant number 098045], which also supports RLP and the Global Atlas of Helminth Infections (http://www.thiswormyworld.org). GD is supported by a Wellcome Trust University award [grant number 091956] to do work in podoconiosis.
The authors declare that they have no competing interests.
KD, MRP, MJB, MJN, SJB and GD conceived the idea of the study. HS, KD, AA, MRP and GD designed the study. HS, KD, AA, AG carried out the field work. KD prepared the manuscript, while all authors read and approved the final manuscript. All authors contributed significantly to this article.
Heven Sime, Kebede Deribe contributed equally to this work.