Since 2003, the US President's Emergency Plan for AIDS Relief (PEPFAR) has supported implementation and maintenance of health information systems for HIV/AIDS and related diseases, such as tuberculosis, in numerous countries. As the COVID-19 pandemic emerged, several countries conducted rapid assessments and enhanced existing PEPFAR-funded HIV and national health information systems to support COVID-19 surveillance data collection, analysis, visualization, and reporting needs. We describe efforts at the US Centers for Disease Control and Prevention (CDC) headquarters in Atlanta, Georgia, USA, and CDC country offices that enhanced existing health information systems in support COVID-19 pandemic response. We describe CDC activities in Haiti as an illustration of efforts in PEPFAR countries. We also describe how investments used to establish and maintain standards-based health information systems in resource-constrained settings can have positive effects on health systems beyond their original scope.

Human immunodeficiency virus (HIV) case-based surveillance (CBS) systematically and continuously collects available demographic and health event data (sentinel events*) about persons with HIV infection from diagnosis and, if available, throughout routine clinical care until death, to characterize HIV epidemics and guide program improvement (1,2). Surveillance signals such as high viral load, mortality, or recent HIV infection can be used for rapid public health action. To date, few standardized assessments have been conducted to describe HIV CBS systems globally (3,4). For this assessment, a survey was disseminated during May-July 2019 to all U.S. President's Emergency Plan for AIDS Relief (PEPFAR)-supported countries with CDC presence(dagger) (46) to describe CBS implementation and identify facilitators and barriers. Among the 39 (85%) countries that responded,( section sign) 20 (51%) have implemented CBS, 15 (38%) were planning implementation, and four (10%)( paragraph sign) had no plans for implementation. All countries with CBS reported capturing information at the point of diagnosis, and 85% captured sentinel event data. The most common characteristic (75% of implementation countries) that facilitated implementation was using a health information system for CBS. Barriers to CBS implementation included lack of country policies/guidance on mandated reporting of HIV and on CBS, lack of unique identifiers to match and deduplicate patient-level data, and lack of data security standards. Although most surveyed countries reported implementing or planning for implementation of CBS, these barriers need to be addressed to implement effective HIV CBS that can inform the national response to the HIV epidemic.

OBJECTIVE: To compare the frequency and etiology of diarrhea in children aged less than 2 years with known HIV status. METHODS: This was a nested cohort study, whereby children were followed during monthly routine and unscheduled visits. The HIV status of children was determined with PCR. A stool culture was obtained from children with diarrhea. A subset of stool samples was examined for parasites and tested for rotavirus. RESULTS: Between 1997 and 2001, 682 children (51.0% male) contributed observation periods with a mean of 47 weeks. Overall there were 198 episodes of diarrhea per 100 child-years of observation (CYO); diarrhea was more common among HIV-positive children than among HIV-negative children (321 vs. 183 episodes/100 CYO, respectively, p<0.01) and was not statistically different for HIV-negative children born to HIV-positive compared with HIV-negative mothers (182 vs. 187 episodes/100 CYO, respectively, p=0.36). For 66.5% of the acute episodes a stool culture was obtained; 27.8% of stool cultures yielded a bacterial pathogen. A positive stool culture was less likely among HIV-positive children compared to children of HIV-negative mothers (20.5% vs. 34.3%, p=0.01). Susceptibility of Salmonella and Shigella to commonly used antibiotics was low. Rotavirus was detected in 13.9% of 202 examined stool samples, and a stool parasite in 3.8% of 394 samples. Diarrhea was associated with 37.8% of child deaths. CONCLUSIONS: Diarrhea was more common among HIV-infected children, but was not associated with specific bacterial pathogens. Measures that reduce diarrhea will benefit all children, but may benefit HIV-infected children in particular.

The epidemiology of malaria in urban environments is poorly characterized, yet increasingly problematic. We conducted an unmatched case-control study of risk factors for malarial anemia with high parasitemia in urban Kisumu, Kenya, from June 2002 through February 2003. Cases (n = 80) were hospital patients with a hemoglobin level ≤ 8 g/dL and a Plasmodium parasite density ≥ 10,000/muL. Controls (n = 826) were healthy respondents to a concurrent citywide knowledge, attitude, and practice survey. Children who reported spending at least one night per month in a rural area were especially at risk (35% of cases; odds ratio = 9.3, 95% confidence interval [CI] = 4.4-19.7, P < 0.0001), and use of mosquito coils, bed net ownership, and house construction were non-significant, potentially indicating that malaria exposure during rural travel comprises an important element of risk. Control of severe malaria in an urban setting may be complicated by Plasmodium infections acquired elsewhere. Epidemiologic studies of urban malaria in low transmission settings should take travel history into account.

BACKGROUND: A process map is a diagram showing the sequential steps and decisions used to accomplish a procedure from start to finish. Process maps are a standard tool in continuous improvement efforts. They have not been used routinely in clinical trials although they are well suited to display trial processes. PURPOSE: We present the use of process maps as a tool to visualize and to monitor the correctness of trial work flows. We show that process maps can be used to assure that trial processes are conducted according to the SOP. METHODS: We describe how a process map is made. We then derive process maps from two sources: the SOP and trial procedures as currently implemented. We compare these maps to each other, using the SOP maps as the gold standard, to check that work is done according to the written procedures. RESULTS: Eight process maps were produced from each source. 172 differences were found between the SOP maps and the walkthrough maps. Differences included the addition of extra steps, order errors, step mistakes, and ambiguities. LIMITATIONS: These process maps focused only on clinic procedures, so interactions with other trial components were not considered. The maps were made after the trial started, which may have biased their content and use. CONCLUSION: Process maps are a simple tool to check if clinical trial processes are operating as designed and offer an effective means to identify and correct such divergences. Further research should focus on using process maps in the design phase of trials, analyzing the cost to benefit ratio for process maps, and linking the analysis of the process map to monitor queries to quantify the improvement gained from using this technique.