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Mulusew Andualem Asemahagn

Researcher at Bahir Dar University

Publications -  27
Citations -  571

Mulusew Andualem Asemahagn is an academic researcher from Bahir Dar University. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 6, co-authored 17 publications receiving 196 citations.

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Spatial-temporal clustering of notified pulmonary tuberculosis and its predictors in East Gojjam Zone, Northwest Ethiopia

TL;DR: In this article, the authors used Kulldorff SaTScan 9.6 with a discrete Poisson model to identify statistically significant spatial-temporal clustering of PTB cases at Kebele level.
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Prevention of Sexually Transmitted Infections and Associated Factors Among Night School Students in Bahir Dar City, Ethiopia:

TL;DR: Age, educational status, information access, school health education, and consistent use of condoms were factors associated with the knowledge of students about STIs, and age, sex, knowledge, and discussion with families were factors of STI prevention practice among night school students.
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Missed Tuberculosis Investigations and Associated Factors in Patients with Symptoms Indicative of Tuberculosis at Public Health Institutions in Northwest Ethiopia: The Application of a Negative Binomial Model

TL;DR: A significant number of patients with symptoms suggestive of TB were missed for sputum evaluation to rule out TB, and education level, comorbidity, nutritional status and type of facility patients attended were factors of missing opportunities for TB investigation.
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Trends and Outcomes of Acute Poisoning in Felege Hiwot Comprehensive Specialized Hospital Medical Intensive Care Units: Retrospective Study [Corrigendum]

TL;DR: In this paper , the authors correct the article DOI: 10.2147/OAEM.S385420] and present a new version of the article, with the same title.
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Data quality and associated factors of routine health information system among health centers of West Gojjam Zone, northwest Ethiopia, 2021

TL;DR: In this article , a facility-based quantitative study design triangulated by the qualitative method was conducted to assess the magnitude of the quality of routine health information system data and its determinants among health centers.