Use of geographical information systems in multiple sclerosis research: A systematic scoping review

Browne, 2014, Atlas of multiple sclerosis 2013: a growing global problem with widespread inequity, Neurology, 83, 1022, 10.1212/WNL.0000000000000768 Naci, 2010, Economic burden of multiple sclerosis: a systematic review of the literature, Pharmacoeconomics, 28, 363, 10.2165/11532230-000000000-00000 Wallin, 2019, Global, regional, and national burden of multiple sclerosis 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016, Lancet Neuro., 18, 269, 10.1016/S1474-4422(18)30443-5 Jelinek, 2015, Latitude, sun exposure and vitamin D supplementation: associations with quality of life and disease outcomes in a large international cohort of people with multiple sclerosis, Bmc Neuro., 15 Reich, 2018, Multiple sclerosis, N. Engl. J. Med., 378, 169, 10.1056/NEJMra1401483 Sospedra, 2005, Immunology of multiple sclerosis, Annu. Rev. Immunol., 23, 683, 10.1146/annurev.immunol.23.021704.115707 Kurland, 2007 Cromley, 2011 McLafferty, 2003, GIS and health care, Annu. Rev. Pub. Health, 24, 25, 10.1146/annurev.publhealth.24.012902.141012 Shabanikiya, 2020, Multiple-scale spatial analysis of paediatric, pedestrian road traffic injuries in a major city in north-eastern Iran 2015–2019, BMC Pub. Health, 20, 1, 10.1186/s12889-020-08911-2 Mallawaarachchi, 1996, GIS-based integrated modelling systems for natural resource management, Agri. Syst., 50, 169, 10.1016/0308-521X(95)00002-M Arksey, 2005, Scoping studies: towards a methodological framework, Int. J. Soc. Res. Methodl., 8, 19, 10.1080/1364557032000119616 Landtblom, 2002, Distribution of multiple sclerosis in sweden based on mortality and disability compensation statistics, Neuroepidemiology, 21, 167, 10.1159/000059518 Llorca, 2005, Mortality of multiple sclerosis in spain: demonstration of a north-south gradient, Neuroepidemiology, 24, 135, 10.1159/000083296 Yiannakoulias, 2007, Parkinson's disease, multiple sclerosis and changes of residence in alberta, Can. J. Neurol. Sci., 34, 343, 10.1017/S0317167100006806 Bostrom, 2009, High prevalence of multiple sclerosis in the swedish county of varmland, Mul. Scler. J., 15, 1253, 10.1177/1352458509345909 Palmer, 2013, A novel method for calculating prevalence of multiple sclerosis in Australia, Mul. Scler. J., 19, 1704, 10.1177/1352458513479841 Ramagopalan, 2011, Geography of hospital admissions for multiple sclerosis in England and comparison with the geography of hospital admissions for infectious mononucleosis: a descriptive study, J. Neurol. Neurosurg. Psychiatr., 82, 682, 10.1136/jnnp.2010.232108 Risberg, 2011, Prevalence and incidence of multiple sclerosis in oppland county - a cross-sectional population-based study in a landlocked county of eastern norway, Acta Neurol. Scand., 124, 250, 10.1111/j.1600-0404.2010.01465.x Bargagli, 2016, Prevalence of multiple sclerosis in the Lazio region, Italy: use of an algorithm based on health information systems, J. Neurol., 263, 751, 10.1007/s00415-016-8049-8 McDonald, 2019, Latitudinal variation in MS incidence in Scotland, Mult. Scler. Relat. Disord, 32, 116, 10.1016/j.msard.2019.04.032 Pugliatti, 2002, Multiple sclerosis distribution in northern Sardinia: spatial cluster analysis of prevalence, Neurology, 58, 277, 10.1212/WNL.58.2.277 Bergamaschi, 2006, Bayesian mapping of multiple sclerosis prevalence in the province of Pavia, northern Italy, J. Neurol. Sci., 244, 127, 10.1016/j.jns.2006.01.013 Cocco, 2011, Epidemiology of multiple sclerosis in south-western Sardinia, Mult. Scler., 17, 1282, 10.1177/1352458511408754 Fromont, 2012, National estimate of multiple sclerosis incidence in France (2001-2007), Mul. Scler. J., 18, 1108, 10.1177/1352458511433305 Pivot, 2016, Geographical Heterogeneity of Multiple Sclerosis Prevalence in France, PLoS ONE, 11, 10.1371/journal.pone.0167556 Bezzini, 2017, Multiple sclerosis spatial cluster in Tuscany, Neurol. sci.: official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 38, 2183, 10.1007/s10072-017-3120-5 Bergamaschi, 2019, Increased prevalence of multiple sclerosis and clusters of different disease risk in Northern Italy, Neurol. Sci. Fromont, 2010, Geographic variations of multiple sclerosis in France, Brain: a J. Neurol., 133, 1889, 10.1093/brain/awq134 Green, 2013, Exploring the implications of small-area variation in the incidence of multiple sclerosis, Am. J. Epidemiol., 178, 1059, 10.1093/aje/kwt092 Torabi, 2014, Application of three focused cluster detection methods to study geographic variation in the incidence of multiple sclerosis in Manitoba, Can. Neuroepidem., 43, 38, 10.1159/000365761 Donnan, 2005, Multiple sclerosis in Tayside, Scotland: detection of clusters using a spatial scan statistic, Mult. Scler., 11, 403, 10.1191/1352458505ms1191oa Turabelidze, 2008, Multiple sclerosis prevalence and possible lead exposure, J. Neurol. Sci., 269, 158, 10.1016/j.jns.2008.01.008 Saei, 2014, Spatial analysis of multiple sclerosis disease in tehran metro-politan zone, Iran, 2001- 2012, Iran J. Pub. Health, 43, 621 Bihrmann, 2018, Small-scale geographical variation in multiple sclerosis: a case-control study using Danish register data 1971-2013, Mult. Scler. Relat. Disord, 23, 40, 10.1016/j.msard.2018.04.021 Wade, 2014, Spatial analysis of global prevalence of multiple sclerosis suggests need for an updated prevalence scale, Mult. Scler. Int, 2014 Gregory, 2008, Multiple Sclerosis disease distribution and potential impact of environmental air pollutants in Georgia, Sci. of the Total Environ., 396, 42, 10.1016/j.scitotenv.2008.01.065 Sloka, 2008, The relation of ultraviolet radiation and multiple sclerosis in Newfoundland, Can. J. Neurol. Sci., 35, 69, 10.1017/S0317167100007587 Beretich, 2009, Explaining multiple sclerosis prevalence by ultraviolet exposure: a geospatial analysis, Multiple Sclerosis, 15, 891, 10.1177/1352458509105579 Amram, 2018, The use of satellite data to measure ultraviolet-B penetrance and its potential association with age of multiple sclerosis onset, Mult. Scler. Relat. Disord, 21, 30, 10.1016/j.msard.2018.02.005 Handel, 2010, Genetic and environmental factors and the distribution of multiple sclerosis in europe, Eur. J. Neurol., 17, 1210, 10.1111/j.1468-1331.2010.03003.x Taylor, 2010, Latitudinal variation in incidence and type of first central nervous system demyelinating events, Mult. Scler. J., 16, 398, 10.1177/1352458509359724 Ramagopalan, 2011, Relationship of UV exposure to prevalence of multiple sclerosis in England, Neurology, 76, 1410, 10.1212/WNL.0b013e318216715e Tsai, 2013, Multiple sclerosis incidence associated with the soil lead and arsenic concentrations in Taiwan, PLoS ONE, 8, e65911, 10.1371/journal.pone.0065911 Schuurman, 2013, A proposed methodology to estimate the cumulative life-time UVB exposure using geographic information systems: an application to multiple sclerosis, Mult Scler Relat Disord, 2, 29, 10.1016/j.msard.2012.07.003 Heydarpour, 2014, Potential impact of air pollution on multiple sclerosis in Tehran, Iran. Neuroepidem., 43, 233, 10.1159/000368553 Monti, 2016, Is geo-environmental exposure a risk factor for multiple sclerosis? a population-based cross-sectional study in south-western sardinia, PLoS ONE, 11, 10.1371/journal.pone.0163313 Lavery, 2017, Examining the contributions of environmental quality to pediatric multiple sclerosis, Mult. Scler. Relat. Disord, 18, 164, 10.1016/j.msard.2017.09.004 Ashtari, 2018, An 8-year study of people with multiple sclerosis in Isfahan, Iran: association between environmental air pollutants and severity of disease, J. Neuroimmunol., 319, 106, 10.1016/j.jneuroim.2018.02.019 Ashtari, 2018, Estimated incidence rate of multiple sclerosis and its relationship with geographical factors in isfahan province between the years 2001 and 2014, Int. J. Prev. Med., 9, 103, 10.4103/ijpvm.IJPVM_317_16 Bains, 2010, Exposure of the eyes to near-horizon sunshine may be a trigger for multiple sclerosis, Med. Hypotheses, 74, 428, 10.1016/j.mehy.2009.09.054 Pakdel, 2019, Do socioeconomic factors affect the prevalence of multiple sclerosis in Iran?, Acta Neurol. Scand., 140, 328, 10.1111/ane.13148 Culpepper, 2010, Using geographic information system tools to improve access to MS specialty care in Veterans Health Administration, J. Rehabil. Res. Dev., 47, 583, 10.1682/JRRD.2009.10.0173 Neven, 2013, Documenting outdoor activity and travel behaviour in persons with neurological conditions using travel diaries and GPS tracking technology: a pilot study in multiple sclerosis, Disabil. Rehabil., 35, 1718, 10.3109/09638288.2012.751137 Jacquez, 2008, Spatial cluster analysis, The handbook of geo. info. sci., 395 Tao, 2016, Spatial cluster detection in spatial flow data, Geogr. Anal., 48, 355, 10.1111/gean.12100 Ellison, 2004, Bayesian inference in ecology, Ecol. Lett., 7, 509, 10.1111/j.1461-0248.2004.00603.x Kulldorff, 1997, A spatial scan statistic, Communications in Statistics-Theory and methods, 26, 1481, 10.1080/03610929708831995 McPeters R.D., Bhartia P., Krueger A.J., Herman J.R., Wellemeyer C.G., Seftor C.J., et al. Earth probe total ozone mapping spectrometer (TOMS): data products user's guide. 1998. Snow, 1855 Fotheringham, 1991, The modifiable areal unit problem in multivariate statistical analysis, Environ. and planning A, 23, 1025, 10.1068/a231025 Wong, 2004, 571 Mclafferty, 2015, Disease cluster detection methods: recent developments and public health implications, Ann. GIS., 21, 127, 10.1080/19475683.2015.1008572 McNeish, 2016, On using Bayesian methods to address small sample problems, Struct. Equ. Modeling: A Multidiscipl. J., 23, 750, 10.1080/10705511.2016.1186549 Bernardinelli, 1995, Bayesian estimates of disease maps: how important are priors?, Stat. Med., 14, 2411, 10.1002/sim.4780142111 Xu, 2018, The modifiable areal unit problem in traffic safety: basic issue, potential solutions and future research, J. Traffic Transp. Eng. (Eng. ed.), 5, 73 Lee, 2020, Quantifying the impact of the modifiable areal unit problem when estimating the health effects of air pollution, Environmetrics, 31, e2643, 10.1002/env.2643 Furst, 2020, An ecosystems approach to mental health services research, BJPsych Int., 1 Wang, 2012, Measurement, optimization, and impact of health care accessibility: a methodological review, Ann. Am. Assoc. Geogr, 102, 1104, 10.1080/00045608.2012.657146 Nykiforuk, 2011, Geographic information systems (GIS) for health promotion and public health: a review, Health Promot. Pract, 12, 63, 10.1177/1524839909334624 Boyda, 2019, Geographic information systems, spatial analysis, and HIV in Africa: a scoping review, PLoS ONE, 14, 10.1371/journal.pone.0216388 Makanga, 2016, A scoping review of geographic information systems in maternal health, Int.J. Gynecol. Obstet., 134, 13, 10.1016/j.ijgo.2015.11.022