Visualization and analytics tools for infectious disease epidemiology: A systematic review

Journal of Biomedical Informatics

Volumn 51, Issue , 2014, Pages 287-298

  Carroll, Lauren N ^a   Au, Alan P ^a   Detwiler, Landon Todd ^a   Fu, Tsung chieh ^a   Painter, Ian S ^a   Abernethy, Neil F ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Disease surveillance; GIS; Infectious disease; Public health; Social network analysis; Visualization

Indexed keywords

COMPLEX NETWORKS; DATA SHARING; DISEASE CONTROL; DISEASES; FLOW VISUALIZATION; GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION ANALYSIS; INFORMATION SERVICES; INFORMATION SYSTEMS; NETWORK ARCHITECTURE; PUBLIC HEALTH; SOCIAL NETWORKING (ONLINE); VISUALIZATION;

BIBLIOGRAPHIC DATABASE; CONTROL AND PREVENTION; DISEASE SURVEILLANCE; INFECTIOUS DISEASE; INFORMATION VISUALIZATION; MOLECULAR EPIDEMIOLOGY; ORGANIZATIONAL SUPPORT; SYSTEMATIC LITERATURE REVIEW;

DATA VISUALIZATION;

BIBLIOGRAPHIC DATABASE; COCHRANE LIBRARY; CONFIDENTIALITY; GEOGRAPHIC INFORMATION SYSTEM; HUMAN; HUMAN COMPUTER INTERACTION; INFECTION; MEDICAL INFORMATICS; MEDICAL INFORMATION; MEDICAL INFORMATION SYSTEM; MEDICAL RECORD; MEDLINE; MOLECULAR EPIDEMIOLOGY; PUBLIC HEALTH SERVICE; PUBLICATION; REVIEW; SOCIAL NETWORK; SYSTEMATIC REVIEW; WEB OF SCIENCE; WORKFLOW; BIOMEDICAL TECHNOLOGY ASSESSMENT; COMMUNICABLE DISEASE CONTROL; COMMUNICABLE DISEASES; COMPUTER INTERFACE; GEOGRAPHIC MAPPING; HEALTH SURVEY; PROCEDURES; SOFTWARE; SPATIOTEMPORAL ANALYSIS;

COMMUNICABLE DISEASE CONTROL; COMMUNICABLE DISEASES; GEOGRAPHIC INFORMATION SYSTEMS; GEOGRAPHIC MAPPING; HUMANS; MOLECULAR EPIDEMIOLOGY; POPULATION SURVEILLANCE; SOCIAL NETWORKING; SOFTWARE; SPATIO-TEMPORAL ANALYSIS; TECHNOLOGY ASSESSMENT, BIOMEDICAL; USER-COMPUTER INTERFACE;

EID: 84908031199     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2014.04.006     Document Type: Review

References (148)

1. Bos L., Blobel B. Semantic interoperability between clinical and public health information systems for improving public health services. Med Care Compunetics Four 2007, 4:256.
2. Friede A., Reid J.A., Ory H.W. CDC WONDER: a comprehensive on-line public health information system of the Centers for Disease Control and Prevention. Am J Pub Health 1993, 83(9):1289-1294.
3. Friede A., Blum H.L., McDonald M. Public health informatics: how information-age technology can strengthen public health. Annu Rev Pub Health 1995, 16(1):239-252.
4. Baker E.L., et al. CDC's Information Network for Public Health Officials (INPHO): a framework for integrated public health information and practice. J Pub Health Manage Pract 1995, 1(1):43-47.
5. Victor L.Y., Edberg S.C. Global Infectious Diseases and Epidemiology Network (GIDEON): a world wide Web-based program for diagnosis and informatics in infectious diseases. Clin Infect Dis 2005, 40(1):123-126.
6. Reeder B., et al. Public health practice within a health information exchange: information needs and barriers to disease surveillance. Online J Pub Health Inform 2012, 4(3).
7. Khan A.S., et al. The next public health revolution: public health information fusion and social networks. Am J Pub Health 2010, 100(7):1237-1242.
8. Driedger S.M., et al. Correction: using participatory design to develop (public) health decision support systems through GIS. Int J Health Geogr 2007, 6.
9. Kothari A., et al. Mapping as a knowledge translation tool for Ontario Early Years Centres: views from data analysts and managers. Implement Sci 2008, 3:4.
10. Robertson C., Nelson T.A. Review of software for space-time disease surveillance. Int J Health Geogr 2010, 9:16.
11. Schriml L.M., et al. GeMInA, genomic metadata for infectious agents, a geospatial surveillance pathogen database. Nucl Acids Res 2010, 38(Suppl. 1):D754-D764.
12. Lopes C.T., et al. Cytoscape Web: an interactive web-based network browser. Bioinformatics 2010, 26(18):2347-2348.
13. Heymann D.L., Brilliant L. Surveillance in eradication and elimination of infectious diseases: a progression through the years. Vaccine 2011, 29(Suppl. 4). D141-4.
14. Klompas M., et al. Harnessing electronic health records for public health surveillance. Online J Pub Health Inform 2011, 3(3).
15. Hills R.A., Lober W.B., Painter I.S. Biosurveillance, case reporting, and decision support: public health interactions with a health information exchange. Biosurveillance and biosecurity 2008, 10-21. Springer.
16. Reis B., Kohane I., Mandl K. An epidemiological network model for disease outbreak detection. PLoS Med 2007, 4(6).
17. Chen H., Zeng D., Yan P. Data visualization, information dissemination, and alerting. Infectious disease informatics 2010, 73-87. Springer.
18. Koch T., Denike K. Crediting his critics' concerns: Remaking John Snow's map of Broad Street cholera, 1854. Soc Sci Med 2009, 69(8):1246-1251.
19. Karlsson D., et al. Visualization of infectious disease outbreaks in routine practice. Stud Health Technol Inform 2013, 192:697-701.
20. Hay S.I., et al. Global mapping of infectious disease. Philos Trans Roy Soc B Biol Sci 2013, 368(1614).
21. Thacker S.B., Qualters J.R., Lee L.M. Public health surveillance in the United States: evolution and challenges. MMWR 2012, 61:3-9.
22. Eubank S. Network based models of infectious disease spread. Jpn J Infect Dis 2005, 58(6):S.
23. Holmes E.C. Molecular epidemiology and evolution of emerging infectious diseases. Brit Med Bull 1998, 54(3):533-543.
24. Andre M., et al. Transmission network analysis to complement routine tuberculosis contact investigations. Am J Pub Health 2007, 97(3):470-477.
25. Abernethy N.F. Automating social network models for tuberculosis contact investigation 2005, Stanford University.
26. AvRuskin G.A., et al. Visualization and exploratory analysis of epidemiologic data using a novel space time information system. Int J Health Geogr 2004, 3(1):26.
27. Castronovo D.A., Chui K.K.H., Naumova E.N. Dynamic maps: a visual-analytic methodology for exploring spatio-temporal disease patterns. Environ Health 2009, 8.
28. Dominkovics P., et al. Development of spatial density maps based on geoprocessing web services: application to tuberculosis incidence in Barcelona, Spain. Int J Health Geogr 2011, 10.
29. Gao S., et al. Online GIS services for mapping and sharing disease information. Int J Health Geogr 2008, 7.
30. Carpenter T.E. The spatial epidemiologic (r)evolution: a look back in time and forward to the future. Spat Spatiotemporal Epidemiol 2011, 2(3):119-124.
31. Foxman B., Riley L. Molecular epidemiology: focus on infection. Am J Epidemiol 2001, 153(12):1135-1141.
32. Maccannell D. Bacterial strain typing. Clin Lab Med 2013, 33(3):629-650.
33. Arts I.C., Weijenberg M.P. New training tools for new epidemiologists. Environ Mol Mutagen 2013, 54(7):611-615.
34. Carrico J.A., et al. Bioinformatics in bacterial molecular epidemiology and public health: databases, tools and the next-generation sequencing revolution. Eurosurveillance 2013, 18(4):32-40.
35. Hollm-Delgado M.-G. Molecular epidemiology of tuberculosis transmission: contextualizing the evidence through social network theory. Soc Sci Med 2009, 69(5):747-753.
36. Lowy F.D., Miller M. New methods to investigate infectious disease transmission and pathogenesis-Staphylococcus aureus disease in drug users. Lancet Infect Dis 2002, 2(10):605-612.
37. Fitzpatrick L.K., et al. A preventable outbreak of tuberculosis investigated through an intricate social network. Clin Infect Dis 2001, 33(11):1801-1806.
38. McElroy P., et al. A network-informed approach to investigating tuberculosis outbreak: implications for enhancing contact investigations. Int J Tuberc Lung Disease 2003, 7(12 Suppl. 3). p. S486-93.
39. Dewan P.K., et al. A tuberculosis outbreak in a private-home family child care center in San Francisco, 2002 to 2004. Pediatrics 2006, 117(3):863-869.
40. Morris M., Goodreau S., Moody J. Sexual networks, concurrency, and STD/HIV. Sexy transmitted diseases 2007, New York, McGraw-Hill. 4th ed.
41. Polgreen P.M., et al. Prioritizing healthcare worker vaccinations on the basis of social network analysis. Infect Control Hosp Epidemiol Off J Soc Hosp Epidemiol Am 2010, 31(9):893.
42. Basta N.E., et al. Strategies for pandemic and seasonal influenza vaccination of schoolchildren in the United States. Am J Epidemiol 2009, 170(6):679-686.
43. O'Carroll P.W., et al. Information needs in public health and health policy: results of recent studies. J Urban Health-Bull N Y Acad Med 1998, 75(4):785-793.
44. Gesteland P.H., et al. The EpiCanvas infectious disease weather map: an interactive visual exploration of temporal and spatial correlations. J Am Med Inf Assoc 2012, 19(6):954-959.
45. Bishr Y. Overcoming the semantic and other barriers to GIS interoperability. Int J Geogr Inf Sci 1998, 12(4):299-314.
46. Hu P.J.H., et al. System for infectious disease information sharing and analysis: design and evaluation. IEEE Trans Inf Technol Biomed 2007, 11(4):483-492.
47. Folorunso O., Ogunseye O. Challenges in the adoption of visualization system: a survey. Kybernetes 2008, 37(9/10):1530-1541.
48. Lê M.-L. Information needs of public health staff in a knowledge translation setting in Canada 1. J Can Health Libr Assoc 2013, 34(01):3-11.
49. Joyce K. "To me it's just another tool to help understand the evidence": public health decision-makers' perceptions of the value of geographical information systems (GIS). Health Place 2009, 15(3):801-810.
50. Fuller S. Tracking the global express: new tools addressing disease threats across the world. Epidemiology 2010, 21(6):769-771. 10.1097/EDE.0b013e3181f56757.
51. Pina J., et al. Task analysis in action: the role of information systems in communicable disease reporting. AMIA Annu Symp Proc 2009, 2009:531-535.
52. Gorman S. How can we improve global infectious disease surveillance and prevent the next outbreak?. Scand J Infect Dis 2013.
53. Rolka H., et al. Analytical challenges for emerging public health surveillance. CDC's Vision Pub Health Surveillance 21st Century 2012, 61:35.
54. Moher D., et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Int Med 2009, 151(4):264-269. w64.
55. Revere D., et al. Understanding the information needs of public health practitioners: a literature review to inform design of an interactive digital knowledge management system. J Biomed Inf 2007, 40(4):410-421.
56. Humphreys B.L. Meeting information needs in health policy and public health: priorities for the National Library of Medicine and the National Network of Libraries of Medicine. J Urban Health-Bull N Y Acad Med 1998, 75(4):878-883.
57. Lee P., Giuse N.B., Sathe N.A. Benchmarking information needs and use in the Tennessee public health community. J Med Libr Assoc 2003, 91(3):322-336.
58. Turner A.M., et al. From the ground up: nurses information needs in a public health department in oregon. J Med Libr Assoc 2008, 96(4):335-342.
59. LaPelle N.R., et al. Identifying strategies to improve access to credible and relevant information for public health professionals: a qualitative study. Bmc Public Health 2006, 6.
60. Walton L.J., et al. Outreach to public health professionals: lessons learned from a collaborative Iowa public health project. Bull Med Libr Assoc 2000, 88(2):165-171.
61. Centers for Disease and Prevention, Information needs and uses of the public health workforce-Washington, 1997-1998. In: MMWR morb mortal wkly rep, vol. 49(6); 2000. p. 118-20.
62. Robinson A.C., MacEachren A.M., Roth R.E. Designing a web-based learning portal for geographic visualization and analysis in public health. Health Inf J 2011, 17(3):191-208.
63. Ford J., Korjonen H. Information needs of public health practitioners: a review of the literature. Health Inf Libr J 2012, 29(4):260-273.
64. Twose C., et al. Public health practitioners' information access and use patterns in the Maryland (USA) public health departments of Anne Arundel and Wicomico Counties. Health Inf Libr J 2008, 25(1):13-22.
65. Fourie I. Learning from research on the information behaviour of healthcare professionals: a review of the literature 2004-2008 with a focus on emotion. Health Inf Libr J 2009, 26(3):171-186.
66. Robinson A. Needs assessment for the design of information synthesis visual analytics tools. IEEE Inf Vis 2009, 353-360.
67. Bassil S, Keller R. Software visualization tools: survey and analysis. In: Program comprehension, 2001. IWPC 2001. Proceedings. 9th international workshop on IEEE; 2001.
68. Kienle H, Müller H. Requirements of software visualization tools: a literature survey. In: 4th IEEE international workshop on visualizing software for understanding and analysis (VISSOFT). IEEE; 2007.
69. Herman I., MelanÇon G., Marshall M. Graph visualization and navigation in information visualization: a survey. IEEE T Vis Comput Gr 2000, 6(1):24-43.
70. Driscoll T., et al. Integration and visualization of host-pathogen data related to infectious diseases. Bioinformatics 2011, 27(16):2279-2287.
71. Anselin L., Syabri I., Kho Y. GeoDa: an introduction to spatial data analysis. Geogr Anal 2006, 38(1):5-22.
72. Blanton J.D., et al. Development of a GIS-based, real-time Internet mapping tool for rabies surveillance. Int J Health Geogr 2006, 5:47.
73. Hurlimann E., et al. Toward an open-access global database for mapping, control, and surveillance of neglected tropical diseases. PLoS Negl Trop Dis 2011, 5(12):e1404.
74. Sopan A., et al. Community Health Map: a geospatial. and multivariate data visualization tool for public health datasets. Gov Inf Q 2012, 29(2):223-234.
75. Green J, et al. Design and implementation of a geographic information system for the general practice sector in Victoria, Australia. In: 3rd National conference GIS in public health; 1998.
76. Porcasi X., et al. An operative dengue risk stratification system in Argentina based on geospatial technology. Geospat Health 2012, 6(3):S31-S42.
77. Freifeld C.C., et al. HealthMap: global infectious disease monitoring through automated classification and visualization of Internet media reports. J Am Med Inf Assoc 2008, 15(2):150-157.
78. Heitgerd J.L., et al. Community health status indicators: adding a geospatial component. Prev Chronic Dis 2008, 5(3):A96.
79. Yi Q., et al. Integrating open-source technologies to build low-cost information systems for improved access to public health data. Int J Health Geogr 2008, 7.
80. Ma J., et al. New frontiers for health information systems using Epi Info in developing countries: structured application framework for Epi Info (SAFE). Int J Med Inform 2008, 77(4):219-225.
81. da Silva F.A., et al. IntegraEPI: a Grid-based epidemic surveillance system. Stud Health Technol Inf 2007, 126:197-206.
82. Gao S., et al. Towards Web-based representation and processing of health information. Int J Health Geogr 2009, 8.
83. Ramirez-Ramirez L.L., et al. A new surveillance and spatio-temporal visualization tool SIMID: SIMulation of Infectious Diseases using random networks and GIS. Comput Meth Prog Biomed 2013, 110(3):455-470.
84. Reinhardt M., et al. EpiScanGIS: an online geographic surveillance system for meningococcal disease. Int J Health Geogr 2008, 7.
85. Alonso W.J., McCormick B.J.J. EPIPOI: a user-friendly analytical tool for the extraction and visualization of temporal parameters from epidemiological time series. Bmc Public Health 2012, 12.
86. Lewis S.L., et al. SAGES: a suite of freely-available software tools for electronic disease surveillance in resource-limited settings. Plos One 2011, 6(5).
87. Atkinson P.J., Unwin D.J. Density and local attribute estimation of an infectious disease using MapInfo. Comput Geosci 2002, 28(9):1095-1105.
88. Google. Google Maps API. Available from: , [cited 09.09.13]. https://www.developers.google.com/maps/.
89. Cook V., et al. Transmission network analysis in tuberculosis contact investigations. J Infect Dis 2007, 196(10):1517-1527.
90. McGrath C., Krackhardt D., Blythe J. Visualizing complexity in networks: seeing both the forest and the trees. Connections 2003, 25(1):37-47.
91. Shneiderman B., Plaisant C., Hesse B. Improving health and healthcare with interactive visualization methods. Computer 2013, 46(5):58-66.
92. Koenig A., Samarasundera E., Cheng T. Interactive map communication: pilot study of the visual perceptions and preferences of public health practitioners. Public Health 2011, 125(8):554-560.
93. Plaisant C. The challenge of information visualization evaluation. In: Proceedings of the working conference on advanced visual interfaces. ACM; 2004.
94. Chui K.K.H., et al. Visual analytics for epidemiologists: understanding the interactions between age, time, and disease with multi-panel graphs. Plos One 2011, 6(2).
95. Upadhyayula S.M., et al. Filaria monitoring visualization system: a geographical information system-based application to manage lymphatic filariasis in Andhra Pradesh, India. Vector-Borne Zoonotic Dis 2012, 12(5):418-427.
96. Thew S.L., et al. Supporting creativity and appreciation of uncertainty in exploring geo-coded public health data. Meth Inf Med 2011, 50(2):158-165.
97. Rushton G. Public health, GIS, and spatial analytic tools. Ann Rev Pub Health 2003, 24:43-56.
98. Chen J., MacEachren A.M. Resolution control for balancing overview and detail in multivariate spatial analysis. Cartogr J 2008, 45(4):261-273.
99. Fisher R.P., Myers B.A. Free and simple GIS as appropriate for health mapping in a low resource setting: a case study in eastern Indonesia. Int J Health Geogr 2011, 10.
100. Aimone A.M., Perumal N., Cole D.C. A systematic review of the application and utility of geographical information systems for exploring disease-disease relationships in paediatric global health research: the case of anaemia and malaria. Int J Health Geogr 2013, 12:1.
101. Geanuracos C.G., et al. Use of geographic information systems for planning HIV prevention interventions for high-risk youths. Am J Pub Health 2007, 97(11):1974-1981.
102. Hadjichristodoulou C., et al. Surveillance of brucellosis in a rural area of Greece: application of the computerized mapping programme. Eur J Epidemiol 1999, 15(3):277-283.
103. Buckeridge D, Purdon L. The South East Toronto Urban Health Research Group. Health data mapping in Southeast Toronto: a collaborative project. In: 3rd National conference GIS in public health; 1998.
104. Nobre F.F., et al. GISEpi: a simple geographical information system to support public health surveillance and epidemiological investigations. Comput Meth Prog Biomed 1997, 53(1):33-45.
105. Joshi A., et al. Designing human centered GeoVisualization application-the SanaViz-for telehealth users: a case study. Technol Health Care 2012, 20(6):473-488.
106. ter Waarbeek H., et al. Strengthening infectious disease surveillance in a Dutch-German crossborder area using a real-time information exchange system. J Bus Contin Emer Plan 2011, 5(2):173-184.
107. Stevens K.B., Pfeiffer D.U. Spatial modelling of disease using data- and knowledge-driven approaches. Spat Spatiotemporal Epidemiol 2011, 2(3):125-133.
108. Joshi A., et al. A human centered GeoVisualization framework to facilitate visual exploration of telehealth data: a case study. Technol Health Care 2012, 20(6):457-471.
109. ESRI, ArcGIS Desktop. Redlands, CA; 2013.
110. Benavides J., et al. Smartphone technologies for social network data generation and infectious disease modeling. J Med Biol Eng 2012, 32(4):235-244.
111. Maciejewski R., et al. A pandemic influenza modeling and visualization tool. J Vis Lang Comput 2011, 22(4):268-278.
112. Moore K.M., Edge G., Kurc A.R. Visualization techniques and graphical user interfaces in syndromic surveillance systems. Summary from the disease surveillance workshop, September 11-12, 2007, Bangkok, Thailand. BMC Proc 2008, 2(Suppl. 3):S6.
113. Parks D.H., et al. GenGIS: a geospatial information system for genomic data. Genome Res 2009, 19(10):1896-1904.
114. Gopinath G., et al. The Pathogen-annotated Tracking Resource Network (PATRN) system: a web-based resource to aid food safety, regulatory science, and investigations of foodborne pathogens and disease. Food Microbiol 2013, 34(2):303-318.
115. Janies D.A., et al. The Supramap project: linking pathogen genomes with geography to fight emergent infectious diseases. Cladistics 2011, 27(1):61-66.
116. Macdonald N., Parks D., Beiko R. SeqMonitor: influenza analysis pipeline and visualization. PLoS Curr 2009, 1:Rrn 1040.
117. Grundmann H., et al. Geographic distribution of Staphylococcus aureus causing invasive infections in Europe: a molecular-epidemiological analysis. PLoS Med 2010, 7(1):e1000215.
118. He X., et al. A comprehensive mapping of HIV-1 genotypes in various risk groups and regions across China based on a nationwide molecular epidemiologic survey. PLoS One 2012, 7(10):e47289.
119. Zarrabi N., et al. Combining epidemiological and genetic networks signifies the importance of early treatment in HIV-1 transmission. PloS One 2012, 7(9):e46156.
120. Hansen T, et al. Interactive visualization of hospital contact network data on multi-touch displays. In: Proceedings of the 2010 mexican workshop on human-computer interaction, vol. 1; 2010. p. 15-22.
121. Viégas F, Donath J. Social network visualization: can we go beyond the graph. In: Workshop on social networks, CSCW; 2004.
122. Xia H, et al. Evaluating strategies for pandemic response in Delhi using realistic social networks. In: NDSSL technical report; 2013.
123. Ives B., Olson M., Baroudi J. The measurement of user information satisfaction. Commun ACM 1983, 26(10):785-793.
124. Roth R, MacEachren A, McCabe C. A workflow learning model to improve geovisual analytics utility. In: Proc int cartogr conf. NIH Public Access; 2009.
125. Robinson A., et al. Combining usability techniques to design geovisualization tools for epidemiology. Cartogr Geogr Inf Sci 2005, 32(4):243-255.
126. Kushniruk A. Evaluation in the design of health information systems: application of approaches emerging from usability engineering. Comput Biol Med 2002, 32(3):141-149.
127. Driedger S.M., et al. If you build it, they still may not come: outcomes and process of implementing a community-based integrated knowledge translation mapping innovation. Implement Sci 2010, 5.
128. Yan W.R., et al. ISS - an electronic syndromic surveillance system for infectious disease in Rural China. Plos One 8 2013, (4).
129. Harbage B., Dean A.G. Distribution of Epi Info software: an evaluation using the Internet. Am J Prev Med 1999, 16(4):314-317.
130. Olsen S.F., Martuzzi M., Elliott P. Cluster analysis and disease mapping - why, when, and how? A step by step guide. Brit Med J 1996, 313(7061):863-866.
131. Core Team R. R: a language and environment for statistical computing. 2013, R Foundation for Statistical Computing, Vienna, Austria.
132. SAS Institute SAS 2013, SAS Institute, Cary, NC.
133. MathWorks MATLAB 2013, The MathWorks Inc., Natick, MA.
134. RStudio and Inc. Shiny: Web application framework for R; 2013.
135. RStudio. RStudio: Integrated development environment for R. Boston, MA; 2013.
136. Chester K.G. BioSense 2.0. Online J Pub Health Inf 2013, 5(1).
137. Light A., Bartlein P.J. The end of the rainbow? Color schemes for improved data graphics. Eos, Trans Am Geophys Union 2004, 85(40):385-391.
138. Zhu, Yiliang, et al. Initial evaluation of the early aberration reporting system-Florida. In: MMWR morb mortal wkly rep 54; 2005. p. 123-30.
139. Davis F.D., Bagozzi R.P., Warshaw P.R. User acceptance of computer technology: a comparison of two theoretical models. Manage Sci 1989, 35(8):982-1003.
140. Nielson J. Introduction to Usability; 2012. Available from: , [cited 10.09.13]. http://www.nngroup.com/articles/usability-101-introduction-to-usability/.
141. Prochaska J.O., DiClemente C.C. Stages and processes of self-change of smoking: toward an integrative model of change. J Consult Clin Psychol 1983, 51(3):390.
142. Rogers EM. Diffusion of innovations. Simon and Schuster; 2010.
143. Atkinson P.M., Graham A.J. Issues of scale and uncertainty in the global remote sensing of disease. Adv Parasitol 2006, 62:79-118.
144. Linard C., Tatem A.J. Large-scale spatial population databases in infectious disease research. Int J Health Geogr 2012, 11:7.
145. Tatem A.J., et al. The effects of spatial population dataset choice on estimates of population at risk of disease. Popul Health Metr 2011, 9:4.
146. Oppong J.R., et al. Mapping late testers for HIV in Texas. Health Place 2012, 18(3):568-575.
147. Zinszer K., et al. Residential address errors in public health surveillance data: a description and analysis of the impact on geocoding. Spat Spatio-temporal Epidemiol 2010, 1(2-3):163-168.
148. Eaton C, Plaisant C, Drizd T. Visualizing missing data: classification and empirical study. In: IFIP international conference on human-computer interaction, September 12-16, 2005, Rome, Italy; 2005.