Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Methods We performed single (uncontrolled) interrupted time series analysis (ITSA) of the data before and after the onset of the COVID-19 pandemic. We used routine monthly health service delivery data for the 36-month period from 1 January 2019 to 31 December 2021, for indicators related to HIV and malaria. The TB data were quarterly data covering the period from quarter 1 2018 to quarter 4 2022 (20 quarters).
The time series of confirmed malaria cases showed the presence of an artificial peak in September 2016, as described elsewhere.3 A spline interpolation imputation was performed to replace the values of this peak. Two health districts (Kpendjal and Oti) had no monthly confirmed malaria cases reported in 2016, but the total number of cases for that year was not used for analysis.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
