GLOBAL DIFFUSION PATTERN AND HOT SPOT ANALYSIS OF VACCINE-PREVENTABLE DISEASES
Spatial characteristics reveal the concentration of vaccine-preventable disease in Africa and the Near East and that disease dispersion is variable depending on disease. The exception is whooping cough, which has a highly variable center of concentration from year to year. Measles exhibited the on...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2017-10-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W2/167/2017/isprs-annals-IV-4-W2-167-2017.pdf |
| _version_ | 1811276109302464512 |
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| author | Y. Jiang F. Fan I. Holly Zanoni Y. Li |
| author_facet | Y. Jiang F. Fan I. Holly Zanoni Y. Li |
| author_sort | Y. Jiang |
| collection | DOAJ |
| description | Spatial characteristics reveal the concentration of vaccine-preventable disease in Africa and the Near East and that disease dispersion
is variable depending on disease. The exception is whooping cough, which has a highly variable center of concentration from year to
year. Measles exhibited the only statistically significant spatial autocorrelation among all the diseases under investigation. Hottest
spots of measles are in Africa and coldest spots are in United States, warm spots are in Near East and cool spots are in Western
Europe. Finally, cases of measles could not be explained by the independent variables, including Gini index, health expenditure, or
rate of immunization. Since the literature confirms that each of the selected variables is considered determinants of disease
dissemination, it is anticipated that the global dataset of disease cases was influenced by reporting bias. |
| first_indexed | 2024-04-12T23:50:33Z |
| format | Article |
| id | doaj.art-a879a3e1e84f436fb97e69dc95bbd4f4 |
| institution | Directory Open Access Journal |
| issn | 2194-9042 2194-9050 |
| language | English |
| last_indexed | 2024-04-12T23:50:33Z |
| publishDate | 2017-10-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-a879a3e1e84f436fb97e69dc95bbd4f42022-12-22T03:11:43ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502017-10-01IV-4-W216717310.5194/isprs-annals-IV-4-W2-167-2017GLOBAL DIFFUSION PATTERN AND HOT SPOT ANALYSIS OF VACCINE-PREVENTABLE DISEASESY. Jiang0F. Fan1I. Holly Zanoni2Y. Li3NSF Spatiotemporal Innovation Center, George Mason University, Fairfax, VA 22030, USAInternational Development, Community and Environment Department, Clark University, Worcester, MA 01610, USAInternational Development, Community and Environment Department, Clark University, Worcester, MA 01610, USANSF Spatiotemporal Innovation Center, George Mason University, Fairfax, VA 22030, USASpatial characteristics reveal the concentration of vaccine-preventable disease in Africa and the Near East and that disease dispersion is variable depending on disease. The exception is whooping cough, which has a highly variable center of concentration from year to year. Measles exhibited the only statistically significant spatial autocorrelation among all the diseases under investigation. Hottest spots of measles are in Africa and coldest spots are in United States, warm spots are in Near East and cool spots are in Western Europe. Finally, cases of measles could not be explained by the independent variables, including Gini index, health expenditure, or rate of immunization. Since the literature confirms that each of the selected variables is considered determinants of disease dissemination, it is anticipated that the global dataset of disease cases was influenced by reporting bias.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W2/167/2017/isprs-annals-IV-4-W2-167-2017.pdf |
| spellingShingle | Y. Jiang F. Fan I. Holly Zanoni Y. Li GLOBAL DIFFUSION PATTERN AND HOT SPOT ANALYSIS OF VACCINE-PREVENTABLE DISEASES ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | GLOBAL DIFFUSION PATTERN AND HOT SPOT ANALYSIS OF VACCINE-PREVENTABLE
DISEASES |
| title_full | GLOBAL DIFFUSION PATTERN AND HOT SPOT ANALYSIS OF VACCINE-PREVENTABLE
DISEASES |
| title_fullStr | GLOBAL DIFFUSION PATTERN AND HOT SPOT ANALYSIS OF VACCINE-PREVENTABLE
DISEASES |
| title_full_unstemmed | GLOBAL DIFFUSION PATTERN AND HOT SPOT ANALYSIS OF VACCINE-PREVENTABLE
DISEASES |
| title_short | GLOBAL DIFFUSION PATTERN AND HOT SPOT ANALYSIS OF VACCINE-PREVENTABLE
DISEASES |
| title_sort | global diffusion pattern and hot spot analysis of vaccine preventable diseases |
| url | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W2/167/2017/isprs-annals-IV-4-W2-167-2017.pdf |
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