Citation: Flueckiger RM, Nikolay B, Gelderblom HC, Smith JL, Haddad D, Tack W, et al. (2015) Integrating Data and Resources on Neglected Tropical Diseases for Better Planning: The NTD Mapping Tool (NTDmap.org). PLoS Negl Trop Dis 9(2): e0003400. doi:10.1371/journal.pntd.0003400
Editor: Louis-Albert Tchuem Tchuenté, University of Yaoundé I, CAMEROON
Published: February 5, 2015
Copyright: © 2015 Flueckiger et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Funding: The stocktaking exercise, end-user survey, development and piloting of the mapping tool were supported by the Bill & Melinda Gates Foundation (#OPP1033751). SJB is supported by a Wellcome Trust Senior Fellowship in Basic Biomedical Science (098045), which also supports JC and RLP. DH is supported in part by an unrestricted departmental grant from Research to Prevent Blindness. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Neglected tropical diseases (NTDs) affect more than 1,000,000,000 poor and marginalized people worldwide . NTDs are caused by diverse pathogens with differing modes of transmission and a range of vectors and intermediate hosts, which have their own ecological peculiarities. While there is considerable overlap in the geographical distribution of different NTDs at a national level , epidemiological differences of individual NTDs give rise to marked geographical variation at local levels. Since cost-effectiveness of intervention is greatest when targeted to areas having a high burden of multiple diseases, maps of the distribution of the different NTDs are essential for planning and implementing NTD interventions, as well as for providing visualization of program progress, so important for advocacy. In recent years there have been concerted, and very successful, efforts to develop detailed information resources on the geographical distribution of different NTDs (Table 1).
An important element of targeted NTD intervention is the delivery of mass drug administration (MDA) for treating the five major “preventive chemotherapy” NTDs, including lymphatic filariasis (LF), onchocerciasis, schistosomiasis, soil-transmitted helminths (STH), and trachoma . MDAs targeting these NTDs are implemented alongside improvements in water and sanitation and hygienic behavior, as well as vector control. To help galvanize such global health efforts, the World Health Organization (WHO) and the NTD community defined targets to be achieved by 2020 and strategies to reach these targets (Table 2). As countries make progress towards the 2020 goals with an ever-increasing amount of data being collected, it is important to develop readily accessible tools that policymakers and program staff and partners can use to access, visualize, and compare data.
In this Innovation to Application article, we describe the creation of an innovative NTD mapping tool (www.ntdmap.org) developed by a consortium of research and program partners for use particularly by program implementers. Its functionality and accessibility have been designed specifically to meet the needs of national programs and international partners. This tool provides an online resource allowing users to visualize and manipulate geographical data on a range of variables for the planning and managing of integrated NTD programs.
Current Mapping Resources
Sharing data is challenging not only because of the complexity of the data themselves but also from the sheer volume of information. In an effort to meet these challenges, the NTD community has developed a range of resources that display epidemiological and treatment data in the form of maps (Table 1). Data are typically displayed as static maps that can be freely downloaded and reused. Similar mapping initiatives have also been undertaken for other diseases, including malaria , human trypanosomiasis , and leishmaniasis .
While these disease-specific mapping projects are extremely helpful for visualizing predefined projects, they are of limited usefulness for integrated program planning, primarily because of the inability to customize maps through overlaying multiple variables highlighting cross-disease opportunities. These resources are also time-consuming to maintain, with data needing to be managed manually for each tool. In the rapidly changing NTD environment, the utility of maps erodes quickly with time. To become a useful operational resource, maps must be routinely updated. For NTDs, this need has been addressed in the development of an NTD mapping tool capable of integrating available epidemiological and programmatic NTD data into a single resource, which is both dynamic and easy to use.
Developing the Tool
A first step in developing the tool was a stocktaking exercise of existing mapping platforms and an end-user survey to assess the needs of the tool’s intended audiences. The exercise included a “state-of-the-art” review of existing mapping applications, undertaken by independent consultants, Avia-GIS (http://www.thiswormyworld.org/about/gahi-reports). Each platform was reviewed for content, quality, and functionalities offered. Results show that the main functionalities included were (i) ability to add different map layers, (ii) query the data underpinning each map, (iii) zoom and pan in the maps, and (iv) print and save maps.
As the goal of this project is to provide a single tool with functionalities that are particularly useful for the planning and evaluation of NTD programs, the second step of the development was a needs assessment among staff from NTD control programs, international agencies, and funding agencies. A questionnaire asking participants about potential functions of an NTD mapping tool and the main uses to which it would be applied was developed. The questionnaire was piloted in Kenya, and a final version was distributed at international NTD meetings in 2012 and was additionally made available online. In total, 105 participants from 45 countries took part in the survey. Figs. 1 and 2 present the main survey results and indicate that the functions given the highest priority were the ability to (i) overlay map layers, (ii) combine data sources, (iii) navigate to specific areas, (iv) download data, and (v) draw tables.
Finally, a series of meetings were held among partners in March, 2013. These meetings established the minimum criteria for the NTD mapping tool (Table 3). To assist in the technical development of the tool, Esri, the company which makes the Geographic Information System software ArcGIS (www.esri.com), provided high-level software expertise. The technical development of the tool included linking Structured Query Language (SQL) databases from multiple partners such as the Global Atlas of Helminth Infections (GAHI) , Global Atlas of Trachoma , International Trachoma Initiative (ITI) and Children Without Worms (CWW) drug donation databases, and maps of access to water and sanitation . These datasets were linked based on commonly shared health district level unique identifiers through cloud-based servers to an Esri-powered Geographic Information System (GIS) server which pushes the information up to the website as GIS layers (Fig. 3).
A beta-version of the tool was piloted at an NTD training course in Nairobi in May 2013 (http://www.thiswormyworld.org/training/modern-tools-for-ntd-control-programmes). Feedback received included the ability to adjust the order of layers, inclusion of administrative boundary layer, ability to query the source of data, and the ability to change the colors of layers. A second version of the tool was then released to selected partners on September 1, 2013 for additional feedback. The process of requesting feedback from both field managers and partner organizations ensured the usefulness of the tool to the broader NTD community. The completed tool was launched at the NTD Non-Governmental Development Organization (NGDO) Network (NNN) meeting in Brighton, United Kingdom, on September 19, 2013.
Features of the Tool
Linking data from multiple partners allows users to view information on one disease or a combination of diseases on the same map (Fig. 3). Additionally, the user can add layers showing road networks, satellite imagery, and topography. The ability to adjust opacity of each layer allows for viewing multiple variables at one time. The tool contains pop-up windows with information referencing the source of the displayed data as well as the methods used in data collection, a feature that ensures openness among partners, facilitates data cross-checking among the multiple reporting mechanisms, and provides valuable information for programmatic decision making. The NTD Mapping Tool harnesses the power of the individual NTD mapping resources allowing users to combine information together and generate customized maps that meet their specific needs. For example, an NTD manager in Ethiopia can visually depict the distribution of both STH and trachoma on one map and thus help guide resources and strategies for a coordinated approach to MDA. The manager may also view where MDA occurred last year for these diseases, highlighting progress and treatment gaps (Fig. 4). This sharing of information in a geographic platform promotes integrated NTD work in country, as the web-based tool allows partners to generate these customized maps without the need to acquire specific GIS software and skills.
Lessons Learned and Future Developments
Use of the tool to date has already resulted in a number of challenges identified and lessons learned (Box 1). First, differences in the data, including date of collection and survey methodology, hinder direct comparison of analyzed survey data. For example, a recent systematic review of STH diagnostics has highlighted the wide differences in the reliability of available STH diagnostic methods , which will reduce the comparability of data—a challenge faced by all mapping resources. This could be addressed by scoring the quality of included data based on age of survey, study population, sample size, sampling method, and diagnostic tests. Guidelines for such scoring are currently under development by WHO and will be applied to standardize disease mapping when available. To assist in understanding the time frame of the data, a time stamp has now been included in the tool, which will allow users to see when the information on the map was last updated and downloaded, thereby creating openness and consistency within the system.
Box 1. Advantages and Disadvantages of www.NTDmap.org
- Allows users to generate customized maps without the need to acquire specific GIS software and skills.
- Provides a platform to view data on different NTDs and overlay distributions.
- Enables user to generate maps for printing and presentations.
- Geographic administrative boundaries change frequently, over time this can cause confusion when examining data in a map format.
- The current design of the tool does not allow users to add their own data. Future releases will have this capability.
- A standard internet connection is necessary to use the tool. This is a challenge in some of the areas that would most benefit from a tool like this. Future releases will include offline capability.
Second, differences in map boundaries can be a major source of potential confusion. Occasionally, programs use political administrative boundaries when implementing or surveying for one disease and different health district boundaries for another. This creates difficulties when overlaying the information from various diseases. As standardized protocols and data collection methods are adopted, the tool will be refined and adapted to reflect these changes. The Mapping Tool presents treatment coverage provided by the drug donation programs (The International Trachoma Initiative and Children Without Worms) for the different NTDs at the subnational (typically district) level, whereas WHO typically reports coverage at the national level. Better understanding of the relationship between these two sources would be useful for filling knowledge gaps on treatment coverage. Third, the NTD Mapping Tool includes data on STH, schistosomiasis, and trachoma, as well as health district maps of access to improved water and sanitation. It is envisioned that in the future, data on LF  and onchocerciasis  will be included, increasing the potential combinations to overlap treatment and disease.
A second phase of development on this tool is underway. In the upcoming release, the technical features will be enhanced. This release will include an offline component where users with limited internet access can build their own maps. Users will also have the ability to input their own data into the offline maps, allowing the visualization of private data in the context of the publicly available data included in the tool. Future work will additionally investigate how best to make the data included in the tool available for download; at present, data on STH, schistosomiasis, LF, and Water Sanitation and Hygiene (WASH) can be downloaded from the Global Atlas of Helminth Infection (www.thiswormyworld.org). Readers interested in the details of these data can consult this resource and contact this project.
In conclusion, the NTD Mapping Tool provides an important new tool for the planning, implementation and evaluation of NTD control activities. The tool is simple and intuitive to use, with minimal requirements placed on the users. The development of the tool has brought together partners working on different NTDs and has involved extensive consultation with the global NTD community. Future roll-out of the tool will identify further needs which will guide subsequent revision. The experience of developing the NTD Mapping Tool provides a powerful example of how integrating data, expertise, and resources can provide new resources and tools to help improve decision making in, and implementation of, integrated health programs.
We are thankful for the support of WHO AFRO, in particular Dr. Adiele Onyeze and Mr. Ekoue Kinvi, in helping with the assessment of end-user needs. We thank the participants of the end-user survey for their valuable contributions and are grateful for the support of Dr. Louise Kelly-Hope and Dr. Maria Rebello (Centre for Neglected Tropical Diseases, Liverpool School of Tropical Medicine, Liverpool, UK) and Ms. Kerry Gallo and Ms. Kim Koporc (Children Without Worms, Decatur, GA, USA) for distributing the questionnaires during the workshops and meetings. We thank the various people who provided constructive feedback on earlier versions of the tool. We would also like to acknowledge the generous reduced cost staff time and software contributions from Esri.
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