IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0269458.html
   My bibliography  Save this article

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

Author

Listed:
  • Amanuel Yigezu
  • Samuel Abera Zewdie
  • Alemnesh H Mirkuzie
  • Adugna Abera
  • Alemayehu Hailu
  • Mesfin Agachew
  • Solomon Tessema Memirie

Abstract

Background: 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. Methods: 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). Results: 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. Conclusion: 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.

Suggested Citation

  • Amanuel Yigezu & Samuel Abera Zewdie & Alemnesh H Mirkuzie & Adugna Abera & Alemayehu Hailu & Mesfin Agachew & Solomon Tessema Memirie, 2022. "Cost-analysis of COVID-19 sample collection, diagnosis, and contact tracing in low resource setting: The case of Addis Ababa, Ethiopia," PLOS ONE, Public Library of Science, vol. 17(6), pages 1-12, June.
  • Handle: RePEc:plo:pone00:0269458
    DOI: 10.1371/journal.pone.0269458
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0269458
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0269458&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0269458?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Mark J Siedner & Lawrence O Gostin & Hilarie H Cranmer & John D Kraemer, 2015. "Strengthening the Detection of and Early Response to Public Health Emergencies: Lessons from the West African Ebola Epidemic," PLOS Medicine, Public Library of Science, vol. 12(3), pages 1-8, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Robert Moss & Roslyn I Hickson & Jodie McVernon & James M McCaw & Krishna Hort & Jim Black & John R Madden & Nhi H Tran & Emma S McBryde & Nicholas Geard, 2016. "Model-Informed Risk Assessment and Decision Making for an Emerging Infectious Disease in the Asia-Pacific Region," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 10(9), pages 1-25, September.
    2. Emmanuel O. Amoo & Gbolahan A. Oni & Aize Obayan & Amos A. Alao & Olujide A. Adekeye & Gbemisola W. Samuel & Samuel A. Oyegbile & Evaristus Adesina, 2021. "Analysis of Residents’ Preparedness Protocols during Ebola Pandemic in Urban Environment," Sustainability, MDPI, vol. 13(16), pages 1-13, August.
    3. Xuecheng Yin & İ. E. Büyüktahtakın, 2021. "A multi-stage stochastic programming approach to epidemic resource allocation with equity considerations," Health Care Management Science, Springer, vol. 24(3), pages 597-622, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0269458. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.