Abstract
Abstract The purpose of this study is to estimate the impact of HIV and Covid19 on the efficiency of the public health system in Côte d'Ivoire. To this end, we use non-parametric data envelopment analysis (DEA) and double bootstrap procedures to analyze the data. The analyze reveals that district hospitals are not technically efficient. These estimates show that in 2019, TB-HIV co-infection and geographic accessibility increases technical efficiency, while respiratory diseases reduce it. In contrast, in 2020, the advent of the Covid-19 pandemic blunted the positive impact of TB-HIV co-infection and geographical accessibility on the technical efficiency of the Ivorian health system observed in 2019. This result, due to the reorientation of resources allocated to the health sector to deal with the Covid-19 pandemic, is similar to the crowding out of the HIV pandemic by that of Covid-19. JEL Classification numbers: C14 - D24 - I12 - I18. Keywords: Double Bootstrap, Tuberculosis/HIV, Covid-19.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
