Cost-analysis of COVID-19 sample collection, diagnosis, and contact tracing in low resource setting: The case of Addis Ababa, Ethiopia

• Published in: PloS one Vol. 17; no. 6; p. e0269458
• Main Authors: Yigezu, Amanuel, Zewdie, Samuel Abera, Mirkuzie, Alemnesh H, Abera, Adugna, Hailu, Alemayehu, Agachew, Mesfin, Memirie, Solomon Tessema
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 09.06.2022; Public Library of Science (PLoS)
• Subjects: Airports; Contact; Contact tracing; Coronaviruses; Cost analysis; Costs; COVID-19; COVID-19 diagnostic tests; Decision making; Deoxyribonucleic acid; Diagnosis; Disease transmission; DNA; Economic aspects; Emergency preparedness; Emergency response; Epidemics; Epidemiology; Evaluation; Fatalities; Health care; Health facilities; Low income groups; Medical care, Cost of; Medical diagnosis; Medicine and Health Sciences; Operating costs; Pandemics; Parameter identification; Parameter sensitivity; People and Places; Personnel; Public health; Quarantine; Sensitivity analysis; Social Sciences; Testing laboratories; Ethiopia; United States > US; Addis Ababa Ethiopia
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0269458

Ethiopia has been responding to the COVID-19 pandemic through a combination of interventions, including non-pharmaceutical interventions, quarantine, testing, isolation, contact tracing, and clinical management. Estimating the resources consumed for COVID-19 prevention and control could inform efficient decision-making for epidemic/pandemic-prone diseases in the future. This study aims to estimate the unit cost of COVID-19 sample collection, laboratory diagnosis, and contact tracing in Addis Ababa, Ethiopia. Primary and secondary data were collected to estimate the costs of COVID-19 sample collection, diagnosis, and contact tracing. A healthcare system perspective was used. We used a combination of micro-costing (bottom-up) and top-down approaches to estimate resources consumed and the unit costs of the interventions. We used available cost and outcome data between May and December 2020. The costs were classified into capital and recurrent inputs to estimate unit and total costs. We identified the cost drivers of the interventions. We reported the cost for the following outcome measures: (1) cost per sample collected, (2) cost per laboratory diagnosis, (3) cost per sample collected and laboratory diagnosis, (4) cost per contact traced, and (5) cost per COVID-19 positive test identified. We conducted one-way sensitivity analysis by varying the input parameters. All costs were reported in US dollars (USD). The unit cost per sample collected was USD 1.33. The unit cost of tracing a contact of an index case was USD 0.66. The unit cost of COVID-19 diagnosis, excluding the cost for sample collection was USD 3.91. The unit cost of sample collection per COVID-19 positive individual was USD 11.63. The unit cost for COVID-19 positive test through contact tracing was USD 54.00. The unit cost COVID-19 DNA PCR diagnosis for identifying COVID-19 positive individuals, excluding the sample collection and transport cost, was USD 37.70. The cost per COVID-19 positive case identified was USD 49.33 including both sample collection and laboratory diagnosis costs. Among the cost drivers, personnel cost (salary and food cost) takes the highest share for all interventions, ranging from 51-76% of the total cost. The costs of sample collection, diagnosis, and contact tracing for COVID-19 were high given the low per capita health expenditure in Ethiopia and other low-income settings. Since the personnel cost accounts for the highest cost, decision-makers should focus on minimizing this cost when faced with pandemic-prone diseases by strengthening the health system and using digital platforms. The findings of this study can help decision-makers prioritize and allocate resources for effective public health emergency response.