This paper made used of the ArcGIS environment where a geo-database was created showing the spatial distribution of the hospital, where each hospitals’ coordinate where taken using GPS device from Zaria, Kaduna State of Nigeria. The geo-database contained all the information generated with reference to the geographical location where attributes tools was used to query information about the various hospitals in the study area. The average temperature of the each location was taken with the help of Landsat thematic Mapper and compared with the number of patients that visited the hospital with the diseases under study.
| Published in | Journal of Family Medicine and Health Care (Volume 3, Issue 2) |
| DOI | 10.11648/j.jfmhc.20170302.12 |
| Page(s) | 36-44 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2017. Published by Science Publishing Group |
Spatial, Analysis, ArcGIS, Disease, Mapping, GPS, Patients
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APA Style
Samson Agboola, Mataimaki Benard Joel. (2017). Spatial Statistical Analysis in the Classification of Some Seasonal Diseases. Journal of Family Medicine and Health Care, 3(2), 36-44. https://doi.org/10.11648/j.jfmhc.20170302.12
ACS Style
Samson Agboola; Mataimaki Benard Joel. Spatial Statistical Analysis in the Classification of Some Seasonal Diseases. J. Fam. Med. Health Care 2017, 3(2), 36-44. doi: 10.11648/j.jfmhc.20170302.12
AMA Style
Samson Agboola, Mataimaki Benard Joel. Spatial Statistical Analysis in the Classification of Some Seasonal Diseases. J Fam Med Health Care. 2017;3(2):36-44. doi: 10.11648/j.jfmhc.20170302.12
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Download@article{10.11648/j.jfmhc.20170302.12,
author = {Samson Agboola and Mataimaki Benard Joel},
title = {Spatial Statistical Analysis in the Classification of Some Seasonal Diseases},
journal = {Journal of Family Medicine and Health Care},
volume = {3},
number = {2},
pages = {36-44},
doi = {10.11648/j.jfmhc.20170302.12},
url = {https://doi.org/10.11648/j.jfmhc.20170302.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jfmhc.20170302.12},
abstract = {This paper made used of the ArcGIS environment where a geo-database was created showing the spatial distribution of the hospital, where each hospitals’ coordinate where taken using GPS device from Zaria, Kaduna State of Nigeria. The geo-database contained all the information generated with reference to the geographical location where attributes tools was used to query information about the various hospitals in the study area. The average temperature of the each location was taken with the help of Landsat thematic Mapper and compared with the number of patients that visited the hospital with the diseases under study.},
year = {2017}
}
TY - JOUR T1 - Spatial Statistical Analysis in the Classification of Some Seasonal Diseases AU - Samson Agboola AU - Mataimaki Benard Joel Y1 - 2017/09/26 PY - 2017 N1 - https://doi.org/10.11648/j.jfmhc.20170302.12 DO - 10.11648/j.jfmhc.20170302.12 T2 - Journal of Family Medicine and Health Care JF - Journal of Family Medicine and Health Care JO - Journal of Family Medicine and Health Care SP - 36 EP - 44 PB - Science Publishing Group SN - 2469-8342 UR - https://doi.org/10.11648/j.jfmhc.20170302.12 AB - This paper made used of the ArcGIS environment where a geo-database was created showing the spatial distribution of the hospital, where each hospitals’ coordinate where taken using GPS device from Zaria, Kaduna State of Nigeria. The geo-database contained all the information generated with reference to the geographical location where attributes tools was used to query information about the various hospitals in the study area. The average temperature of the each location was taken with the help of Landsat thematic Mapper and compared with the number of patients that visited the hospital with the diseases under study. VL - 3 IS - 2 ER -
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