Please use this identifier to cite or link to this item:
http://repository.futminna.edu.ng:8080/jspui/handle/123456789/6823Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Bello, Adeshina Oyedele | - |
| dc.contributor.author | Bolarin, G. | - |
| dc.contributor.author | Raji, R.A. | - |
| dc.date.accessioned | 2021-07-06T15:42:14Z | - |
| dc.date.available | 2021-07-06T15:42:14Z | - |
| dc.date.issued | 2017-07 | - |
| dc.identifier.uri | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/6823 | - |
| dc.description.abstract | The spread of infectious diseases has been tied to the movement of people across borders. Statistical data have shown that there are a lot of factors that can make a disease break out in a given community or country. In this work, we analyzed the measles data set of West African countries and we found that there is asynchrony and the outbreak of measles in countries sharing borders. Also, from our analysis, we discovered that vaccination has great effect on the number of reported cases. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Lapai Journal of Applied and Natural Sciences(LAJANS), | en_US |
| dc.subject | Spatial Analysis | en_US |
| dc.subject | Measles | en_US |
| dc.title | Spatial Analysis Of West African Measles Data Set | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Statistics | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| LAJANS 1(1)44-57.pdf | 1.38 MB | Adobe PDF | View/Open |
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