Evaluating a Mobile Phone-Delivered Text Message Reminder Intervention to Reduce Infant Vaccination Dropout in Arua, Uganda: Protocol for a Randomized Controlled Trial.

Background: Globally, suboptimal vaccine coverage is a public health concern. According to Uganda's 2016 Demographic and Health Survey, only 49% of 12- to 23-month-old children received all recommended vaccinations by 12 months of age. Innovative ways are needed to increase coverage, reduce dropout, and increase awareness among caregivers to bring children for timely vaccination.

HIV prevalence in voluntary counseling and testing centers compared with national HIV serosurvey data in Uganda.

Objectives: To compare HIV prevalence from routine voluntary counseling and testing (VCT) data with a population-based serosurvey in Uganda and to assess the utility of VCT data as a supplemental data source for HIV surveillance.

Methods: We analyzed HIV testing data from 75,640 unique VCT clients aged 15-59 years collected from August 2004 to January 2005 at 160 VCT sites. We excluded clients who reported illness as the reason for testing.

Estimating HIV incidence in voluntary counseling and testing clients in Uganda (1992-2003).

Objectives: To estimate HIV incidence from first-time testers among voluntary counseling and testing (VCT) clients in Uganda.

Methods: Data on 203,000 VCT clients tested from 1992 through 2003 were adjusted for temporal changes in the testing population. Differential mortality rates by HIV status were used to derive expected prevalence at future times from baseline prevalence within 5-year birth cohorts.

Using HIV voluntary counseling and testing data for monitoring the Uganda HIV epidemic, 1992-2000.

Objective: To assess trends in the prevalence of HIV infection among voluntary counseling and testing (VCT) clients in Uganda and to describe the utility of VCT data for monitoring the HIV epidemic in 1992-2000.

Methods: We analyzed routinely collected data from first-time VCT clients not reporting illness as a reason for testing. We developed a model adjusting for test site, couple testing, and premarital testing, assessed trends in adjusted prevalence of HIV infection and shifts in age-specific peak prevalence, and compared antenatal clinic (ANC) surveillance data and VCT prevalence trends.