Spatial distribution of COVID-19 in Ethiopia - geospatial analysis
<p>Background: COVID-19 was the devastating worldwide public health problem in recent years. COVID19 disease affecting large populations in different continents of the world starting on 11 March 2020.</p><p>This study will be useful to give information on geographical surveillance...
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Global Journal of Infectious Diseases and Clinical Research - Peertechz Publications,
2022-03-01.
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| LEADER | 00000 am a22000003u 4500 | ||
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| 001 | peertech__10_17352_2455-5363_000050 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Kaleab Tesfaye Tegegne |e author |
| 700 | 1 | 0 | |a Eleni Tesfaye Tegegne |e author |
| 700 | 1 | 0 | |a Mekibib Kassa Tessema |e author |
| 700 | 1 | 0 | |a Geleta Abera |e author |
| 700 | 1 | 0 | |a Berhanu Bifato |e author |
| 700 | 1 | 0 | |a Kebebush Gebremichael |e author |
| 700 | 1 | 0 | |a Alelign Tadele Abebe |e author |
| 700 | 1 | 0 | |a Abiyu Ayalew Assefa |e author |
| 700 | 1 | 0 | |a Andualem Zenebe |e author |
| 700 | 1 | 0 | |a Wosenyeleh Semeon Bagajjo |e author |
| 700 | 1 | 0 | |a Musie Rike |e author |
| 700 | 1 | 0 | |a Belayneh Feleke Weldeyes |e author |
| 700 | 1 | 0 | |a Argaw Getachew Alemu |e author |
| 245 | 0 | 0 | |a Spatial distribution of COVID-19 in Ethiopia - geospatial analysis |
| 260 | |b Global Journal of Infectious Diseases and Clinical Research - Peertechz Publications, |c 2022-03-01. | ||
| 520 | |a <p>Background: COVID-19 was the devastating worldwide public health problem in recent years. COVID19 disease affecting large populations in different continents of the world starting on 11 March 2020.</p><p>This study will be useful to give information on geographical surveillance of COVID-19 in Ethiopia, to know regions of high or low rates of COVID 19, to give evidence as baseline data for future research on COVID-19 in Ethiopia, and to predict the prevalence of COVID-19 from the untested population in different regions of Ethiopia using the art geospatial techniques. </p><p>Methods: We have used secondary data collected from March 13, 2020, to November 23/ 2021 From COVID19 - Ethiopia - Ethiopian Health Data. ArcGIS 10.3 and SaTscan software were used for spatial analysis and geographical analysis respectively. </p><p>Results: A high prevalence of COVID-19 was found in Addis Ababa (67.36%) and Oromia (13.85%). </p><p>Spatial autocorrelation analysis indicated that the spatial distribution of COVID-19 is nonrandom (Moran's Index: 0.134297, P-value: 0.052384). </p><p>In spatial scan statistical analysis, eight clusters were identified and the higher rates of COVID-19 were observed in the Afar (RR= 1.80, p<0.001) and Addis Ababa (RR= 50.33, p<0.001) regions. </p><p>Conclusion: The spatial distribution of COVID-19 cases in Ethiopia was not random. </p><p>Hot spot research revealed a significant prevalence of COVID-19 patients in the Addis Ababa, Dire Dawa, Harari, and Oromia regions. For the reduction of COVID-19 infections in Ethiopia, preventative and control activities should be extended to high-risk locations.</p> | ||
| 540 | |a Copyright © Kaleab Tesfaye Tegegne et al. | ||
| 546 | |a en | ||
| 655 | 7 | |a Research Article |2 local | |
| 856 | 4 | 1 | |u https://doi.org/10.17352/2455-5363.000050 |z Connect to this object online. |