Spatio-temporal trends and distribution patterns of typhoid disease in Uganda from 2012 to 2017
| Autor: | Gilbert Maiga, Denis Ssebuggwawo, Peter Nabende, Ali Mansourian, Kamukama Ismail |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
trends
medicine.medical_specialty Health (social science) 030231 tropical medicine Geography Planning and Development temporal Medicine (miscellaneous) Distribution (economics) lcsh:G1-922 Disease Typhoid fever Disease Outbreaks 03 medical and health sciences symbols.namesake 0302 clinical medicine Spatio-Temporal Analysis Environmental health Global health medicine Humans Spatial Uganda patterns 030212 general & internal medicine Poisson regression Typhoid Fever Disease surveillance business.industry Health Policy Public health Incidence Outbreak medicine.disease Geography Population Surveillance symbols Geographic Information Systems business typhoid lcsh:Geography (General) |
| Zdroj: | Geospatial Health, Vol 15, Iss 2 (2021) |
| ISSN: | 1970-7096 1827-1987 |
| Popis: | Typhoid disease continues to be a global public health burden. Uganda is one of the African countries characterized by high incidences of typhoid disease. Over 80% of the Ugandan districts are endemic for typhoid, largely attributable to lack of reliable knowledge to support disease surveillance. Spatial-temporal studies exploring major characteristics of the disease within the local population have remained limited in Uganda. The main goal of the study was to reveal spatial-temporal trends and distribution patterns of typhoid disease in Uganda for the period 2012 to 2017. Spatial-temporal statistics revealed monthly and annual trends of the disease at both regional and national levels. Results show that outbreaks occurred during 2015 and 2017 in central and eastern regions, respectively. Spatial scan statistic using the discrete Poisson model revealed spatial clusters of the disease for each of the years from 2012 to 2017, together with populations at risk. Most of the disease clustering was in the central region, followed by western and eastern regions (P |
| Databáze: | OpenAIRE |
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