Bayesian spatial modelling of tuberculosis-HIV co-infection in Ethiopia
An in-depth analysis of the epidemiological patterns of TB/HIV co-infection is essential since it helps to target high-risk areas with effective control measures. The main objective of this study was to assess the spatial clustering of TB/HIV co-infection prevalence in Ethiopia for the year 2018 usi...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2023-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035872/?tool=EBI |
| _version_ | 1797860138146594816 |
|---|---|
| author | Leta Lencha Gemechu Legesse Kassa Debusho |
| author_facet | Leta Lencha Gemechu Legesse Kassa Debusho |
| author_sort | Leta Lencha Gemechu |
| collection | DOAJ |
| description | An in-depth analysis of the epidemiological patterns of TB/HIV co-infection is essential since it helps to target high-risk areas with effective control measures. The main objective of this study was to assess the spatial clustering of TB/HIV co-infection prevalence in Ethiopia for the year 2018 using district-level aggregated TB and HIV data obtained from the Ethiopian Federal Ministry of Health. The global Moran’s index, Getis-Ord |
| first_indexed | 2024-04-09T21:40:57Z |
| format | Article |
| id | doaj.art-26884302788841ca89adde9b3d96837c |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-09T21:40:57Z |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-26884302788841ca89adde9b3d96837c2023-03-26T05:32:03ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01183Bayesian spatial modelling of tuberculosis-HIV co-infection in EthiopiaLeta Lencha GemechuLegesse Kassa DebushoAn in-depth analysis of the epidemiological patterns of TB/HIV co-infection is essential since it helps to target high-risk areas with effective control measures. The main objective of this study was to assess the spatial clustering of TB/HIV co-infection prevalence in Ethiopia for the year 2018 using district-level aggregated TB and HIV data obtained from the Ethiopian Federal Ministry of Health. The global Moran’s index, Getis-Ordhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035872/?tool=EBI |
| spellingShingle | Leta Lencha Gemechu Legesse Kassa Debusho Bayesian spatial modelling of tuberculosis-HIV co-infection in Ethiopia PLoS ONE |
| title | Bayesian spatial modelling of tuberculosis-HIV co-infection in Ethiopia |
| title_full | Bayesian spatial modelling of tuberculosis-HIV co-infection in Ethiopia |
| title_fullStr | Bayesian spatial modelling of tuberculosis-HIV co-infection in Ethiopia |
| title_full_unstemmed | Bayesian spatial modelling of tuberculosis-HIV co-infection in Ethiopia |
| title_short | Bayesian spatial modelling of tuberculosis-HIV co-infection in Ethiopia |
| title_sort | bayesian spatial modelling of tuberculosis hiv co infection in ethiopia |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035872/?tool=EBI |
| work_keys_str_mv | AT letalenchagemechu bayesianspatialmodellingoftuberculosishivcoinfectioninethiopia AT legessekassadebusho bayesianspatialmodellingoftuberculosishivcoinfectioninethiopia |