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.
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