Routine Malaria surveillance data is useful for assessing incidence and trends over time and in stratification for targeting of malaria. The reporting completeness and potential bias of such data needs assessment. Approximately 52 million people (68%) live in malaria risk areas in Ethiopia, primarily at altitudes below 2,000 meters. Objective: The general objective of this analysis was to assess the trend and magnitude of Malaria surveillance data by time, place and laboratory result for the last five years in Benishangul Gumuz Region. Descriptive cross-sectional study was used to analyze Malaria surveillance data in terms of time, place and laboratory result. Data cleaning and analysis was made by using excel 2013 software. A total of 96757 expected health facilities were in the region from 2013-2017. A total of 86266 health facilities were reported in the last five years with an average completeness of 89.2%. In the last five years (2013-2017) total of 1186514 clinically and confirmed malaria cases were reported regionally with 2290606 total malaria suspected fever examined with ninety inpatient deaths. Among the total clinically and confirmed cases, 1172244 (98.8%) were outpatients, 14248 (1.2%) were inpatients and 1013046 (85.0%) cases were confirmed by laboratory. Out of the total confirmed malaria cases 811984 (80.2%) cases were due to P.falciparum malaria and 201030 (19.8%) cases were due to P.vivax malaria. There were no other species of malaria reported other than these two species. From the total expected health facilities; a total of 86266 health facilities were reported in the last five years with an average completeness of 89.2% which is above the WHO minimum requirement (80.0%). The malaria reports shows that significant improvement in cases of data quality and management from year to year and currently all zones, Woredas and health facilities including private and NGO facilities are included and reported weekly the malaria surveillance from the data report identified in this study. The average five year regional incidence of confirmed malaria (P. Falciparum and P. Vivax) was less than half the incidence of the clinical and confirmed malaria cases.
| Published in | Biomedical Statistics and Informatics (Volume 5, Issue 2) |
| DOI | 10.11648/j.bsi.20200502.13 |
| Page(s) | 52-59 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2020. Published by Science Publishing Group |
Malaria, Morbidity, Mortality, Clinical and Confirmed, Benishangul Gumuz
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APA Style
Tadesse Yalew Assefa, Eyoel Berhan, Zewdu Assefa, Habtamu Tilahun. (2020). A Retrospective Malaria Surveillance Data Analysis (2013-2017), Benishangul Gumuz Region, 2018. Biomedical Statistics and Informatics, 5(2), 52-59. https://doi.org/10.11648/j.bsi.20200502.13
ACS Style
Tadesse Yalew Assefa; Eyoel Berhan; Zewdu Assefa; Habtamu Tilahun. A Retrospective Malaria Surveillance Data Analysis (2013-2017), Benishangul Gumuz Region, 2018. Biomed. Stat. Inform. 2020, 5(2), 52-59. doi: 10.11648/j.bsi.20200502.13
AMA Style
Tadesse Yalew Assefa, Eyoel Berhan, Zewdu Assefa, Habtamu Tilahun. A Retrospective Malaria Surveillance Data Analysis (2013-2017), Benishangul Gumuz Region, 2018. Biomed Stat Inform. 2020;5(2):52-59. doi: 10.11648/j.bsi.20200502.13
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author = {Tadesse Yalew Assefa and Eyoel Berhan and Zewdu Assefa and Habtamu Tilahun},
title = {A Retrospective Malaria Surveillance Data Analysis (2013-2017), Benishangul Gumuz Region, 2018},
journal = {Biomedical Statistics and Informatics},
volume = {5},
number = {2},
pages = {52-59},
doi = {10.11648/j.bsi.20200502.13},
url = {https://doi.org/10.11648/j.bsi.20200502.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bsi.20200502.13},
abstract = {Routine Malaria surveillance data is useful for assessing incidence and trends over time and in stratification for targeting of malaria. The reporting completeness and potential bias of such data needs assessment. Approximately 52 million people (68%) live in malaria risk areas in Ethiopia, primarily at altitudes below 2,000 meters. Objective: The general objective of this analysis was to assess the trend and magnitude of Malaria surveillance data by time, place and laboratory result for the last five years in Benishangul Gumuz Region. Descriptive cross-sectional study was used to analyze Malaria surveillance data in terms of time, place and laboratory result. Data cleaning and analysis was made by using excel 2013 software. A total of 96757 expected health facilities were in the region from 2013-2017. A total of 86266 health facilities were reported in the last five years with an average completeness of 89.2%. In the last five years (2013-2017) total of 1186514 clinically and confirmed malaria cases were reported regionally with 2290606 total malaria suspected fever examined with ninety inpatient deaths. Among the total clinically and confirmed cases, 1172244 (98.8%) were outpatients, 14248 (1.2%) were inpatients and 1013046 (85.0%) cases were confirmed by laboratory. Out of the total confirmed malaria cases 811984 (80.2%) cases were due to P.falciparum malaria and 201030 (19.8%) cases were due to P.vivax malaria. There were no other species of malaria reported other than these two species. From the total expected health facilities; a total of 86266 health facilities were reported in the last five years with an average completeness of 89.2% which is above the WHO minimum requirement (80.0%). The malaria reports shows that significant improvement in cases of data quality and management from year to year and currently all zones, Woredas and health facilities including private and NGO facilities are included and reported weekly the malaria surveillance from the data report identified in this study. The average five year regional incidence of confirmed malaria (P. Falciparum and P. Vivax) was less than half the incidence of the clinical and confirmed malaria cases.},
year = {2020}
}
TY - JOUR T1 - A Retrospective Malaria Surveillance Data Analysis (2013-2017), Benishangul Gumuz Region, 2018 AU - Tadesse Yalew Assefa AU - Eyoel Berhan AU - Zewdu Assefa AU - Habtamu Tilahun Y1 - 2020/08/04 PY - 2020 N1 - https://doi.org/10.11648/j.bsi.20200502.13 DO - 10.11648/j.bsi.20200502.13 T2 - Biomedical Statistics and Informatics JF - Biomedical Statistics and Informatics JO - Biomedical Statistics and Informatics SP - 52 EP - 59 PB - Science Publishing Group SN - 2578-8728 UR - https://doi.org/10.11648/j.bsi.20200502.13 AB - Routine Malaria surveillance data is useful for assessing incidence and trends over time and in stratification for targeting of malaria. The reporting completeness and potential bias of such data needs assessment. Approximately 52 million people (68%) live in malaria risk areas in Ethiopia, primarily at altitudes below 2,000 meters. Objective: The general objective of this analysis was to assess the trend and magnitude of Malaria surveillance data by time, place and laboratory result for the last five years in Benishangul Gumuz Region. Descriptive cross-sectional study was used to analyze Malaria surveillance data in terms of time, place and laboratory result. Data cleaning and analysis was made by using excel 2013 software. A total of 96757 expected health facilities were in the region from 2013-2017. A total of 86266 health facilities were reported in the last five years with an average completeness of 89.2%. In the last five years (2013-2017) total of 1186514 clinically and confirmed malaria cases were reported regionally with 2290606 total malaria suspected fever examined with ninety inpatient deaths. Among the total clinically and confirmed cases, 1172244 (98.8%) were outpatients, 14248 (1.2%) were inpatients and 1013046 (85.0%) cases were confirmed by laboratory. Out of the total confirmed malaria cases 811984 (80.2%) cases were due to P.falciparum malaria and 201030 (19.8%) cases were due to P.vivax malaria. There were no other species of malaria reported other than these two species. From the total expected health facilities; a total of 86266 health facilities were reported in the last five years with an average completeness of 89.2% which is above the WHO minimum requirement (80.0%). The malaria reports shows that significant improvement in cases of data quality and management from year to year and currently all zones, Woredas and health facilities including private and NGO facilities are included and reported weekly the malaria surveillance from the data report identified in this study. The average five year regional incidence of confirmed malaria (P. Falciparum and P. Vivax) was less than half the incidence of the clinical and confirmed malaria cases. VL - 5 IS - 2 ER -
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