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.

The Effect of Community Health Information System on Health Care Services Utilization in Rural Ethiopia.

Background: In Ethiopia, the community health information system (CHIS) is implemented at the health post (hp) level with the aim of improving service delivery and use. We conducted a national level assessment of CHIS utilization and explored the associations of CHIS utilization with use of antenatal care (ANC), postnatal care (PNC), institutional delivery and child immunization in rural Ethiopia. Methods: We conducted a cross-sectional study measuring community-based health service use and HP based CHIS assessment from March to May 2019. Data were collected from 343 HPs and 2,864 women who delivered in the last five years, and multistage sampling was used to select the study subjects. We used descriptive statistics for CHIS implementation and service utilization and multilevel logistic regression to investigate the association of CHIS implementation with maternal and child health care services use. Results: Fifty five percent of the HPs were implementing CHIS. These HPs were using a paper-based household data collection tool called family folder (FF). Of the HPs, one third implemented lot quality assurance sampling (LQAS) based data quality check and 60.4% documented and followed execution of decisions. Overall, among the eligible women, 40% used ANC, close to 50% of currently married women used ANC services; 28% of women that fall in the high wealth index category used PNC within 48 hours after delivery; and 86.1% of women who had at least a high school education delivered at a health facility. Implementation of CHIS and family folder utilization and conducting LQAS based data quality check in the HPs were significantly associated with increased odds of ANC, delivery, and vaccination services use. Conclusion: We found that better implementation of CHIS was associated with better maternal and child health service use which implies that increasing utilization of CHIS at HPs will improve mother and child health service use.

Fine particulate pollution concentration in Addis Ababa exceeds the WHO guideline value: Results of 3 years of continuous monitoring and health impact assessment.

Real-time monitoring of fine particulate matter (PM2.5) concentrations and assessing the health impact are limited in Ethiopia. The objective of this study is to describe current levels of PM2.5 air pollution in Addis Ababa and examine temporal patterns and to consider the health impact of current PM2.5 exposure levels. METHODS: PM2.5 concentrations were measured using a centrally-located Beta Attenuator Monitor (BAM-1022) for 3 years (1 April 2017 to 31 March 2020), with data downloaded biweekly. Deaths attributable to current PM2.5 concentration levels were estimated using the AirQ+ tool. The daily average was estimated using hourly data. RESULTS: The daily mean (SD) PM2.5 concentration was 42.4 µg/m3 (15.98). Two daily extremes were observed: morning (high) and afternoon (low). Sundays had the lowest PM2.5 concentration, while Mondays to Thursdays saw a continuous increase; Fridays showed the highest concentration. Seasons showed marked variation, with the highest values during the wet season. Concentration spikes reflected periods of intensive fuel combustion. A total of 502 deaths (4.44%) were attributable to current air pollution levels referenced to the 35 µg/m3 WHO interim target annual level and 2,043 (17.7%) at the WHO 10 µg/m3 annual guideline. CONCLUSION: PM2.5 daily levels were 1.7 times higher than the WHO-recommended 24-hour guideline. The current annual mean PM2.5 concentration results in a substantial burden of attributable deaths compared to an annual mean of 10 µg/m3. The high PM2.5 level and its variability across days and seasons calls for citywide interventions to promote clean air.

Factors Associated with the Death of Preterm Babies Admitted to Neonatal Intensive Care Units in Ethiopia: A Prospective, Cross-sectional, and Observational Study.

Aim. To determine the risk factors for death among preterm neonates. Methods and materials. The data set used was derived from a prospective, multi-center, observational clinical study conducted in 5 tertiary hospitals in Ethiopia from July, 2016 to May, 2018. Subjects were infants admitted into neonatal intensive care unit. Results. Risk factors were determined using statistical model developed for this study. The mean gestational age was 32.87 (SD ± 2.42) weeks with a range of 20 to 36 weeks. There were 2667 (70.69%) survivors and 1106 (29.31%) deaths. The significant risk factors for preterm death were low gestational age, low birth weight, being female, feeding problem, no antenatal care visits and vaginal delivery among mothers with higher educational level. Conclusions. The study identified several risk factors for death among preterm neonates. Most of the risk factors are preventable. Thus, it is important to address neonatal and maternal factors identified in this study through appropriate ANC and optimum infant medical care and feeding practices to decrease the high rate of preterm death.