Regional and temporal variations in COVID-19 cases and deaths in Ethiopia: Lessons learned from the COVID-19 enhanced surveillance and response.

BACKGROUND: The COVID-19 pandemic is one of the most devastating public health emergencies of international concern to have occurred in the past century. To ensure a safe, scalable, and sustainable response, it is imperative to understand the burden of disease, epidemiological trends, and responses to activities that have already been implemented. We aimed to analyze how COVID-19 tests, cases, and deaths varied by time and region in the general population and healthcare workers (HCWs) in Ethiopia. METHODS: COVID-19 data were captured between October 01, 2021, and September 30, 2022, in 64 systematically selected health facilities throughout Ethiopia. The number of health facilities included in the study was proportionally allocated to the regional states of Ethiopia. Data were captured by standardized tools and formats. Analysis of COVID-19 testing performed, cases detected, and deaths registered by region and time was carried out. RESULTS: We analyzed 215,024 individuals' data that were captured through COVID-19 surveillance in Ethiopia. Of the 215,024 total tests, 18,964 COVID-19 cases (8.8%, 95% CI: 8.7%- 9.0%) were identified and 534 (2.8%, 95% CI: 2.6%- 3.1%) were deceased. The positivity rate ranged from 1% in the Afar region to 15% in the Sidama region. Eight (1.2%, 95% CI: 0.4%- 2.0%) HCWs died out of 664 infected HCWs, of which 81.5% were from Addis Ababa. Three waves of outbreaks were detected during the analysis period, with the highest positivity rate of 35% during the Omicron period and the highest rate of ICU beds and mechanical ventilators (38%) occupied by COVID-19 patients during the Delta period. CONCLUSIONS: The temporal and regional variations in COVID-19 cases and deaths in Ethiopia underscore the need for concerted efforts to address the disparities in the COVID-19 surveillance and response system. These lessons should be critically considered during the integration of the COVID-19 surveillance system into the routine surveillance system.

Standardizing clinical culture specimen collection in Ethiopia: a training-of-trainers.

BACKGROUND: Proper specimen collection is central to improving patient care by ensuring optimal yield of diagnostic tests, guiding appropriate management, and targeting treatment. The purpose of this article is to describe the development and implementation of a training-of-trainers educational program designed to improve clinical culture specimen collection among healthcare personnel (HCP) in Ethiopia. METHODS: A Clinical Specimen Collection training package was created consisting of a Trainer's Manual, Reference Manual, Assessment Tools, Step-by-Step Instruction Guides (i.e., job aides), and Core Module PowerPoint Slides. RESULTS: A two-day course was used in training 16 master trainers and 47 facility-based trainers responsible for cascading trainings on clinical specimen collection to HCP at the pre-service, in-service, or national-levels. The Clinical Specimen Collection Package is offered online via The Ohio State University's CANVAS online platform. CONCLUSIONS: The training-of-trainers approach may be an effective model for development of enhanced specimen collection practices in low-resource countries.

Epidemiology of influenza in Ethiopia: findings from influenza sentinel surveillance and respiratory infection outbreak investigations, 2009-2015.

BACKGROUND: Influenza is an acute viral disease of the respiratory tract which is characterized by fever, headache, myalgia, prostration, coryza, sore throat and cough. Globally, an estimated 3 to 5 million cases of severe influenza illness and 291 243-645 832 seasonal influenza-associated respiratory deaths occur annually. Although recent efforts from some African countries to describe burden of influenza disease and seasonality, these data are missing for the vast majority, including Ethiopia. Ethiopia established influenza sentinel surveillance in 2008 aiming to determine influenza strains circulating in the country and know characteristics, trend and burden of influenza viruses. METHODS: We used influenza data from sentinel surveillance sites and respiratory disease outbreak investigations from 2009 to 2015 for this analysis. We obtained the data by monitoring patients with influenza-like illness (ILI) at three health-centers, severe acute respiratory infection (SARI) at five hospitals and investigating patients during different respiratory infection outbreaks. Throat-swab specimens in viral transport media were transported to the national reference laboratory within 72 h of collection using a cold-chain system. We extracted viral RNA from throat-swabs and subjected to real-time PCR amplification. We further subtyped and characterized Influenza A-positive specimens using CDC real-time reverse transcription PCR protocol. RESULTS: A total of 4962 throat-swab samples were collected and 4799 (96.7%) of them were tested. Among them 988 (20.6%) were influenza-positive and of which 349 (35.3%) were seasonal influenza A(H3N2), 321 (32.5%) influenza A(H1N1)pdm2009 and 318 (32.0%) influenza B. Positivity rate was 29.5% in persons 5-14 years followed by 26.4% in 15-44 years, 21.2% in > 44 years and 6.4% in under five children. The highest positivity rate observed in November (37.5%) followed by March (27.6%), December (26.4%), October (24.4%) and January (24.3%) while the lowest positivity rate was in August (7.7%). CONCLUSION: In Ethiopia, seasonal Influenza A(H3N2), Influenza A(H1N1)pdm2009 and Influenza B viruses were circulating during 2009-2015. Positivity rate and number of cases peaked in November and December. Influenza is one of public health problems in Ethiopia and the need to introduce influenza vaccine and antivirus is important to prevent and treat the disease in future.

Outbreak investigation of epidemic dropsy in Addis Ababa, Ethiopia:.

BACKGROUND: A 17 year old female patient who presented to a tertiary Hospital in Addis Ababa with bilateral painful leg swelling of two months and shortness of breath, associated with cough and haemoptysis of one week duration was reported to the Ministry of Health and the Addis Ababa Health Bureau. The condition was later detected in 18 individuals from 4 households indicating occurrence of an outbreak of unknown cause in Addis Ababa which lasted during May-July 2008. OBJECTIVE: An outbreak investigation was initiated to identify the cause and prevent further spread, morbidity and mortality. METHODS: Using semi-structured questionnaire, quantitative assessment involving individual cases and affected households was conducted to detect aetiology and risk factors. Unaffected households as well as unaffected members of affected households were also included for comparison purpose. Record review of patients visiting hospitals was also done. Data were collected through house to house visits, and using interview of cases admitted to hospital. Samples of cooking oil were collected for laboratory testing. Data analysis was done using SPSS. RESULTS: A total of 182 patients, 50 (27.5%) males and 132 (72.5%) females, were identified till the outbreak was controlled fully. Age varied from 6-90 years. Death was confirmed in 12 cases, 8 of whom were female. The majority of the patients came from the adjoining Lideta (39.0%) and Kolfe Keranyo (31.9%) subcities. History of illness ranged from less than a week to 12 weeks before presentation. Out of the 106 household members of the 24 affected households identified during the first phase of the investigation, 83 were affected. Most family members who infrequently take meals at home, and children aged 3 years and below were spared. The 21 visited affected households from Kolfe keranyo, Lideta and Bole subcities bought cooking oil produced by a firm in Lideta subcity and all had bought their last supplies in March and April 2008. Samples of cooking food oil taken from this firm and from the affected households were found to have alkaloids of Argemone Mexicana. The number of new cases dropped to zero within 6 weeks after the source was closed. CONCLUSION: The occurrence of bilateral leg swelling in more than one family member of affected households, that bought cooking oil from the same source, sparing the toddlers, and those who infrequently take meals at home, further strengthened by laboratory confirmation of presence of argemone alkaloids in the cooking oil samples taken from the affected households and the common sources led to the diagnosis of the outbreak to be epidemic dropsy.

Challenges of establishing routine influenza sentinel surveillance in Ethiopia, 2008-2010.

Ethiopia launched influenza surveillance in November 2008. By October 2010, 176 patients evaluated at 5 sentinel health facilities in Addis Ababa met case definitions for influenza-like illness or severe acute respiratory illness (SARI). Most patients (131 [74%]) were children aged 0-4 years. Twelve patients (7%) were positive for influenza virus. Most patients (109 [93%]) were aged <5 years, of whom only 3 (2.8%) had laboratory-confirmed influenza. Low awareness of influenza by healthcare workers, misperceptions regarding case definitions, and insufficient human resources at sites could have potentially led to many missed cases, resulting in suboptimal surveillance.