An Exploratory Analysis in Mapping of Asthma Risk in Western Australia

https://doi.org/10.22146/ijg.30149

Hendra Kurnia Febriawan(1*), Carla Maria da Silva Sodre(2)

(1) Curtin University
(2) Department of Spatial Sciences, Curtin University- Building 207, Kent Street, Bentley, Western Australia 6845.
(*) Corresponding Author

Abstract


Exploratory Analysis as one of the spatial analysis tools that has been used widely in many study fields. This tool is usually intended to obtain the spatial pattern to observe and get relationship between study variables. The exploratory analysis is usually followed by the confirmatory analysis to exhibit the hypothesis that already obtain in the exploratory analysis. This study is aimed to investigate the prevalence of asthma in Western Australia since there are many factors that cause the asthma dispersion.  Many provided variables have been tested to get the best correlation with the asthma percentage variable and four variables (humidity, annual rainfall, EVI and SEIFA) were chosen and tested with high asthma percentage variable. The result of confirmatory analysis indicates that the high level of humidity and low level of SEIFA confirm with the hypothesis and means that those factors can contribute significantly in Asthma prevalence in Western Australia.

Keywords


Exploratory Analysis; Spatial Analysis; Asthma Prevalence

Full Text:

PDF


References

Anderson, H. R., Butland, B. K., Donkelaar, A. Van, Brauer, M., Strachan, D. P., & Clayton, T. (2012). Research | Children ’ s Health Satellite-based Estimates of Ambient Air Pollution and Global Variations in Childhood Asthma Prevalence. Environ

Health Perspect, 120(9), 1333–1339. https://doi.org/10.1289/ehp.1104724
Andrusaityte, S., Grazuleviciene, R., Kudzyte, J., Bernotiene, A., Dedele, A., &

Nieuwenhuijsen, M. J. (2016). Associations between neighbourhood greenness and asthma in preschool children in Kaunas, Lithuania: a case–control study. BMJ Open, 6(4), e010341. https://doi.org/10.1136/bmjopen-2015-010341.

ArcMap, D. (2017). Using weights. Retrieved from http://desktop.arcgis.com/en/arcmap/10.3/tools/spatial-statistics-toolbox/using-weights.htm.
Australia Wide First Aid. (2018). Thunderstorm Asthma. Retrieved October 27, 2017, from https://www.australiawidefirstaid.com.au/thunderstorm-asthma/.

Black, M. H., Anderson, A., Bell, R. A., Dabelea, D., Pihoker, C., Saydah, S., … Lawrence, J. M. (2011). Prevalence of Asthma and Its Association With Glycemic Control Among Youth With Diabetes. Pediatrics, 128(4), e839–e847. https://doi.org/10.1542/peds.2010-3636.

Bottrell, J. (2011). Here’s Why Humidity and Cold Air Trigger Asthma. Retrieved from https://www.healthcentral.com/article/heres-why-humidity-and-cold-air-trigger-asthma.

Chien, L.-C., & Alamgir, H. (2014). Geographic disparities of asthma prevalence in south-western United States of America. Geospatial Health, 9(1), 97. https://doi.org/10.4081/gh.2014.8.

Collison, A., Herbert, C., Siegle, J. S., Mattes, J., Foster, P. S., & Kumar, R. K. (2011). Altered expression of microRNA in the airway wall in chronic asthma: miR-126 as a potential therapeutic target. BMC Pulmonary Medicine, 11. https://doi.org/10.1186/1471-2466-11-29.

Compact Appliance. (2015). Breathe Easy: Why Controlling Humidity Can Help Reduce Asthma Symptoms. Retrieved October 25, 2017, from https://learn.compactappliance.com/humidity-and-asthma/.

Cook, A. G., Devos, A. J. B. M., Pereira, G., Jardine, A., & Weinstein, P. (2011). Use of a total traffic count metric to investigate the impact of roadways on asthma severity: A case-control study. Environmental Health: A Global Access Science Source, 10(1), 1–8. https://doi.org/10.1186/1476-069X-10-52.

Crighton, E. J., Feng, J., Gershon, A., Guan, J., & To, T. (2012). A spatial analysis of asthma prevalence in Ontario. Canadian Journal of Public Health, 103(5), 384–389.

Cunningham, J. (2010). Socioeconomic status and self-reported asthma in Indigenous and non-Indigenous Australian adults aged 18-64 years : analysis of national survey data, 1–11.

Davinci.asu.edu. (2013). evi. Retrieved from http://davinci.asu.edu/index.php?title=evi

Delclòs-alió, X., Miralles-guasch, C., & Jacobs, J. (2018). Land Use Policy Looking at Barcelona through Jane Jacobs ’ s eyes : Mapping the basic conditions for urban vitality in a Mediterranean conurbation. Land Use Policy, 75(April), 505–517. https://doi.org/10.1016/j.landusepol.2018.04.026.

Erdman, E., Liss, A., Gute, D. M., Rioux, C., Koch, M., & Naumova, E. N. (2015). Does the presence of vegetation affect asthma hospitalizations among the elderly ? A comparison between rural , suburban ..., (May). https://doi.org/10.24102/ijes.v4i1.526.

Gorai, A. K., Tchounwou, P. B., & Tuluri, F. (2016). Association between ambient air pollution and asthma prevalence in different population groups residing in Eastern Texas, USA. International Journal of Environmental Research and Public Health, 13(4). https://doi.org/10.3390/ijerph13040378

Górniak, J. (2016). The Spatial Autocorrelation Analysis for Transport Accessibility in Selected Regions of the European Union. Comparative Economic Research, 19(5), 25–42. https://doi.org/10.1515/cer-2016-0036.

Health Service, G. W. A. (2015a). Pilbara – population and health snapshot, 1–6. Retrieved from http://www.wapha.org.au/wp-content/uploads/2015/12/Regional-Profile-2016-Pilbara-population-and-health-snapshot-FINAL.pdf

Health Service, G. W. A. (2015b). Wheatbelt – population and health snapshot astern Primary Health Service. Retrieved from http://www.wapha.org.au/wp-content/uploads/2016/01/Wheatbelt-snapshot-2016.pdf

Health Service, G. W. A. (2016). Goldfields – population and health snapshot. Retrieved from http://www.wapha.org.au/wp-content/uploads/2015/12/Regional-Profile-2016-Goldfields-population-and-health-snapshot-FINAL-002.pdf

Hekking, P. P. W., Wener, R. R., Amelink, M., Zwinderman, A. H., Bouvy, M. L., & Bel, E. H. (2015). The prevalence of severe refractory asthma. Journal of Allergy and Clinical Immunology, 135(4), 896–902. https://doi.org/10.1016/j.jaci.2014.08.042.

Jiang, Z., & Huete, A. R. (2008). Development of a two-band enhanced vegetation index without a blue band. Remote Sensing of Environment, 112(10), 3833–3845.

Jones, V. F., Lawson, P., Robson, G., Buchanan, B., & Aldrich, T. (2004). The Use of Spatial Statistics to Identify Asthma Risk Factors in an Urban Community. Pediatric Asthma, Allergy and Immunology, 17(1), 3–13. https://doi.org/http://dx.doi.org/10.1089/088318704322994895

Kececi, M. C. (2017). Monitoring Pollen Counts and Pollen Allergy Index Using Satellite Observations in East Coast of the United States. South Dakota State University.

Koster, L. (2016). Indoor humidity and your family’s health. Retrieved from https://www.nationalasthma.org.au/news/2016/indoor-humidity

Krstić, G. (2011). Asthma prevalence associated with geographical latitude and regional insolation in the United States of America and Australia. PLoS ONE, 6(4). https://doi.org/10.1371/journal.pone.0018492.

Lomba, A., Strohbach, M., Jerrentrup, J. S., Dauber, J., Klimek, S., & Mccracken, D. I. (2017). Making the best of both worlds : Can high-resolution agricultural administrative data support the assessment of High Nature Value farmlands across Europe? Ecological Indicators, 72, 118–130. https://doi.org/10.1016/j.ecolind.2016.08.008.

Lopes, S. B., São-carlense, A. T., Carlos, S., & São-carlense, A. T. (2007). Exploratory and Confirmatory Spatial Data Analysis Tools in Transport Demand Modeling. Computers in Urban Planning and Urban Management.
Mainardi, T. R., Mellins, R. B., Miller, R. L., Acosta, L. M., Cornell, A., Hoepner, L., …

Perzanowski, M. S. (2013). Exercise-Induced Wheeze, Urgent Medical Visits, and Neighborhood Asthma Prevalence. Pediatrics, 131(1), e127–e135. https://doi.org/10.1542/peds.2012-1072.

Mayo Clinic, S. (2016). Asthma Causes. Retrieved from http://www.mayoclinic.org/diseases-conditions/asthma/basics/causes/con-20026992

Pereira, G., De Vos, A. J. B. M., & Cook, A. (2009a). Residential traffic exposure and children’s emergency department presentation for asthma: A spatial study. International Journal of Health Geographics, 8, 1–10. https://doi.org/10.1186/1476-072X-8-63.

Pereira, G., De Vos, A. J. B. M., & Cook, A. (2009b). Residential traffic exposure and children’s emergency department presentation for asthma: A spatial study. International Journal of Health Geographics, 8, 1–11. https://doi.org/10.1186/1476-072X-8-63.

Pereira, G., De Vos, A. J. B. M., Cook, A., & D’Arcy, C. (2010). Vector fields of risk: A new approach to the geographical representation of childhood asthma. Health and Place, 16(1), 140–146. https://doi.org/10.1016/j.healthplace.2009.09.006.
Pereira, G., Vos, A. De, & Cook, A. (2009). Removing the Effects of Socioeconomic Status on the Geographic Distribution of Asthma Events.

Perry, M. (2017). Asthma and Humidity. Retrieved from http://www.healthguidance.org/entry/10912/1/Asthma-and-Humidity.html

Pisati, M. (2012). Exploratory spatial data analysis using Stata 2012 German Stata Users Group meeting Spatial data Overview Dot maps Diagram maps Choropleth maps Multivariate maps, 1–91.

Reddel, H. K., Sawyer, S. M., & Everett, P. W. (2015). Asthma control in Australia: a cross-sectional web-based survey in a nationally representative population, 202(May), 492–498. https://doi.org/10.5694/mja14.01564.
Ronchi, S., Salata, S., Arcidiacono, A., & Ronchi, S. (2018). An indicator of urban morphology for landscape planning in Lombardy ( Italy ). Management of Environmental Quality: An International Journal. https://doi.org/10.1108/MEQ-05-2017-0048.

Rousta, I., Doostkamian, M., Haghighi, E., Ghafarian Malamiri, H. R., & Yarahmadi, P. (2017). Analysis of spatial autocorrelation patterns of heavy and super-heavy rainfall in Iran. Advances in Atmospheric Sciences, 34(9), 1069–1081. https://doi.org/10.1007/s00376-017-6227-y.

Shankardass, K., Jerrett, M., Dell, S. D., Foty, R., & Stieb, D. (2015). Spatial analysis of exposure to traffic-related air pollution at birth and childhood atopic asthma in Toronto, Ontario. Health and Place, 34(2), 287–295. https://doi.org/10.1016/j.healthplace.2015.06.001.

Skarkova, P., Kadlubiec, R., Fischer, M., Kratenova, J., Zapletal, M., & Vrubel, J. (2015). Refining of Asthma Prevalence Spatial Distribution and Visualization of Outdoor Environment Factors Using Gis and Its Application for Identification of Mutual Associations. Central European Journal of Public Health, 23(3), 258–266. https://doi.org/10.21101/cejph.a4193.

Song, J., Du, S., Feng, X., & Guo, L. (2014). Landscape and Urban Planning The relationships between landscape compositions and land surface temperature : Quantifying their resolution sensitivity with spatial regression models. Landscape and Urban Planning, 123, 145–157. https://doi.org/10.1016/j.landurbplan.2013.11.014.

Speldewinde, P. C., Cook, A., Davies, P., & Weinstein, P. (2011). The hidden health burden of environmental degradation: Disease comorbidities and dryland salinity. EcoHealth, 8(1), 82–92. https://doi.org/10.1007/s10393-011-0686-x.
Tattersfield, A. E., Knox, A. J., Britton, J. R., & Hall, I. P. (2002). Asthma, 360, 1313–1322.

To, T., Stanojevic, S., Moores, G., Gershon, A. S., Bateman, E. D., Cruz, A. A., & Boulet, L. P. (2012). Global asthma prevalence in adults: Findings from the cross-sectional world health survey. BMC Public Health, 12(1), 204. https://doi.org/10.1186/1471-2458-12-204.

Venkatramanan, S., Chung, S. Y., Rajesh, R., & Lee, S. Y. (2015). Comprehensive studies of hydrogeochemical processes and quality status of groundwater with tools of cluster , grouping analysis , and fuzzy set method using GIS platform : a case study of Dalcheon in Ulsan City , Korea. Environmental Science and Pollution Research, 22(15), 11209–11223. https://doi.org/10.1007/s11356-015-4290-4.

Zhou, J., Tu, Y., Chen, Y., & Wang, H. (2017). Estimating Spatial Autocorrelation With Sampled Network Data. Journal of Business & Economic Statistics, 35(1), 130–138. https://doi.org/10.1080/07350015.2015.1061437.



DOI: https://doi.org/10.22146/ijg.30149

Article Metrics

Abstract views : 2950 | views : 2460

Refbacks

  • There are currently no refbacks.




Copyright (c) 2018 Indonesian Journal of Geography

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 225/E/KPT/2022, Vol 54 No 1 the Year 2022 - Vol 58 No 2 the Year 2026 (accreditation certificate download)

ISSN 2354-9114 (online), ISSN 0024-9521 (print)

Web
Analytics IJG STATISTIC