Sherry Rita AhirirweEmail: sahirirwe@musph.ac.ug
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ABOUT THE FELLOWSherry Rita Ahirirwe is and experienced epidemiologist with a Master of Science Degree in Public Health. She has experience in monitoring and evaluation with a demonstrated history of working with non-profit organizations. She is skilled in digital data collection and management using Kobo toolbox as well as exploratory data analysis with R in addition to mapping skills in QGIS. She has a strong passion for community empowerment. During the fellowship program, Sherry was attached to the Division of Health Information within the department of Planning, Financing and Policy in the Ministry of Health. Through the fellowship program, Sherry has attained skills in leadership, outbreak investigation and response including data analysis, visualization, interpretation and use. She led two outbreak investigations and participated in four others. She is a national trainer of Monitoring & Evaluation officers and district bio_statisticians on generation of knowledge products and populating indicators in the national health observatory. Achievements at the Host Site
Fellowship program specific achievementsLed 2 outbreak investigations (listed here) and participated in 10 others
Implemented two quality improvement projects
Trained 42 district officials in Toro and Bunyoro regions on development of malaria normal channels for monitoring of malaria upsurges and response measures Written communication Published one newspaper article titled:
Published two articles in the Uganda national institute of public health (UNIPH) quarterly bulletin:
Edited Issue 3 volume 6 of the UNIPH bulletin
-Conference presentation International conferences
National conferences
Summary of Epidemiological Study:Title: Increased all–cause mortality at regional referral hospitals in Uganda during the COVID–19 pandemic (2020–2021) Authors: Sherry Rita Ahirirwe 1*, Andrew Kwiringira1, Benon Kwesiga1, Lilian Bulage1, Daniel Kadobera1, and Alex Riolexus Ario1 *Corresponding author: Sherry Rita Ahirirwe, +256707064889, sahirirwe@ musph.ac.ug Affiliations 1Uganda Public Health Fellowship Program, National Institute of Public Health, Ministry of Health, Kampala, Uganda Background: Understanding the true burden of deaths associated with the COVID-19 pandemic is challenging in Uganda due to testing limitations and inadequate mortality surveillance systems. One approach to estimating pandemic-associated deaths is to calculate excess mortality (EM) at hospitals. We described temporal trends in all-cause mortality at regional referral hospitals (RRHs) in Uganda and estimated EM during two years of the pandemic compared with five years of historical data (2015–2019). Methods: Monthly aggregate deaths, admissions, and reporting rates data were abstracted for 15 RRHs from the Ministry of Health (MOH) District Health Information System (DHIS2) from 2015–2021. We used logistic regression to model temporal trends in all-cause mortality from 2015–2021. We estimated EM by calculating actual in-hospital deaths/10,000 admissions in 2020 and 2021 and comparing them to expected rates using the upper bound of the 95% confidence interval of historical average (2015–2019). Excess deaths were divided by the expected deaths upper threshold to calculate EM percentage. Results: With reference to 2015, there was a significant increase in all-cause mortality at RRHs in 2020 (AOR=1.20, 95%CI 1.16–1.23; p<0.001) and 2021 (AOR=1.46, 95%CI 1.42–1.50; p<0.001). Mortality significantly exceeded the upper threshold of expected deaths at RRHs during 2020 in April (7%), May (2%), June (25%), August (10%), October (4%), and November (4%). From June to November 2021, EM was recorded each month (57%, 25%, 22%, 1%, 10%, 6%, respectively). The highest EM peaks were recorded in June for both years, but the excess deaths proportion during the peak in 2021 was double that of 2020. Statistically significant EM was recorded at 11 (73%) of the 15 RRHs in 2020 and 13 (86%) in 2021. Conclusion:All-cause mortality at RRHs increased during the pandemic period (2020-2021). We observed EM at RRHs during the pandemic period when compared to historical data. MOH can track the mortality burden using EM to inform targeted control measures that avert preventable deaths. Keywords: Trends, all–cause mortality, excess mortality, COVID–19, Uganda Key lessons learnt during the fellowshipDuring the fellowship, I learnt and developed the following skill sets:
Next Steps
Pictorial
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