A Cross-Cutting Approach to Surveillance and Laboratory Capacity as a Platform to Improve Health Security in Uganda.

Global health security depends on effective surveillance for infectious diseases. In Uganda, resources are inadequate to support collection and reporting of data necessary for an effective and responsive surveillance system. We used a cross-cutting approach to improve surveillance and laboratory capacity in Uganda by leveraging an existing pediatric inpatient malaria sentinel surveillance system to collect data on expanded causes of illness, facilitate development of real-time surveillance, and provide data on antimicrobial resistance. Capacity for blood culture collection was established, along with options for serologic testing for select zoonotic conditions, including arboviral infection, brucellosis, and leptospirosis. Detailed demographic, clinical, and laboratory data for all admissions were captured through a web-based system accessible at participating hospitals, laboratories, and the Uganda Public Health Emergency Operations Center. Between July 2016 and December 2017, the expanded system was activated in pediatric wards of 6 regional government hospitals. During that time, patient data were collected from 30,500 pediatric admissions, half of whom were febrile but lacked evidence of malaria. More than 5,000 blood cultures were performed; 4% yielded bacterial pathogens, and another 4% yielded likely contaminants. Several WHO antimicrobial resistance priority pathogens were identified, some with multidrug-resistant phenotypes, including Acinetobacter spp., Citrobacter spp., Escherichia coli, Staphylococcus aureus, and typhoidal and nontyphoidal Salmonella spp. Leptospirosis and arboviral infections (alphaviruses and flaviviruses) were documented. The lessons learned and early results from the development of this multisectoral surveillance system provide the knowledge, infrastructure, and workforce capacity to serve as a foundation to enhance the capacity to detect, report, and rapidly respond to wide-ranging public health concerns in Uganda.

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. Incidence was computed as the proportion of HIV-uninfected persons who seroconverted divided by the proportion negative at baseline. RESULTS: Annual HIV incidence per 100 uninfected persons increased from 0.9 (95% confidence interval [CI]: 0.8 to 1.1) in 1993 to 2.3 (95% CI: 2.2 to 2.5) in 2003 (chi test for trend, P < 0.001). Prevalence decreased from 23% to 13% in 1999 to 2000 and increased to 15% in 2003. Women had a higher incidence. Peak incidence shifted to older age groups over time. CONCLUSIONS: Estimating incidence from routine data presents a practical way of tracking HIV incidence and is a useful tool in targeting and evaluating the impact of prevention programs. Our analysis reveals a new phase of the HIV epidemic in Uganda: decreasing prevalence and increasing incidence, especially among middle-aged persons. These findings support the need for intensified prevention interventions among middle-aged persons in Uganda.

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. RESULTS: Among 201,741 clients, adjusted prevalence of HIV infection declined from 23% in 1992 to 13% in 2000 (P < 0.001) (men, 17%-9% [P < 0.001]; women, 31%-18% [P < 0.001]). The prevalence declined for all age groups except men older than 39 years and women older than 34 years. The prevalence increased for women older than 39 years (P < 0.003). Between 1992 and 2000, peak prevalence declined for both men (31% to 24%) and women (44% to 41%), whereas the age at which the peak occurred increased for both men (36 to 41 years) and women (31 to 36 years). VCT and ANC prevalence trends were similar. CONCLUSION: In Uganda, the prevalence of HIV infection among male and female VCT clients declined from 1992 to 2000, similar to ANC surveillance data, but did not decline in older age groups. In regions with well-established VCT programs, VCT data may provide a useful and convenient tool for monitoring the HIV epidemic.