Clustering of asymptomatic Plasmodium falciparum infection and the effectiveness of targeted malaria control measures.

BACKGROUND: Because clustering of Plasmodium falciparum infection had been noted previously, the clustering of infection was examined at four field sites in West Africa: Dangassa and Dioro in Mali, Gambissara in The Gambia and Madina Fall in Senegal. METHODS: Clustering of infection was defined by the percent of persons with positive slides for asexual P. falciparum sleeping in a house which had been geopositioned. Data from each site were then tested for spatial, temporal and spatio-temporal clustering in relation to the prevalence of infection from smear surveys. RESULTS: These studies suggest that clustering of P. falciparum infection also affects the effectiveness of control interventions. For example, the clustering of infection in Madina Fall disappeared in 2014-2016 after vector control eliminated the only breeding site in 2013. In contrast, the temporal clustering of infection in Dioro (rainy season of 2014, dry season of 2015) was consistent with the loss of funding for Dioro in the second quarter of 2014 and disappeared when funds again became available in late 2015. The clustering of infection in rural (western) areas of Gambissara was consistent with known rural-urban differences in the prevalence of infection and with the thatched roofs, open eaves and mud walls of houses in rural Gambissara. In contrast, the most intense transmission was in Dangassa, where the only encouraging observation was a lower prevalence of infection in the dry season. Taken together, these results suggest: (a) the transmission of infection was stopped in Madina Fall by eliminating the only known breeding site, (b) the prevalence of infection was reduced in Dioro after financial support became available again for malaria control in the second half of 2015, (c) improvements in housing should improve malaria control by reducing the number of vectors in rural communities such as western Gambissara, and (d) beginning malaria control during the dry season may reduce transmission in hyperendemic areas such as Dangassa. CONCLUSIONS: From a conceptual perspective, testing for spatial, temporal and spatio-temporal clustering based on epidemiologic data permits the generation of hypotheses for the clustering observed and the testing of candidate interventions to confirm or refute those hypotheses.

Caregiving preferences and advance care planning among older adults living with HIV.

With the increase in the US of the number of older adults living with HIV, more research is needed to understand the caregiving and advance care planning needs of this population. This descriptive study examined the relationship between social support and caregiving preferences and advance care planning. Older adults living with HIV were recruited from clinics in Los Angeles, CA and New Orleans, LA to complete cross-sectional surveys (n = 154). Logistic regression analyses were modeled to determine the characteristics associated with 1) preference for formal short-term term care, 2) preference for formal long-term care, 3) having at least one contact for emergency care, 4) having an advance directive or living will, and 5) having a healthcare proxy or agent. The mean age was 56.8 years. The majority of participants indicated a preference for informal support for both short-term (73.4%) and long-term care (66.2%), 13.2% had no one they could call for emergency care, 26.0% had an advance directive/living will, and 30.5% had a healthcare proxy/agent. In adjusted models, greater social support was associated with preference for informal short-term care and with having at least one emergency contact. Findings suggest that older adults living with HIV prefer informal sources of support for their caregiving needs despite having small social networks and individuals with limited social networks are particularly vulnerable due to lack of access to caregivers in sudden or unexpected health situations.

Development of a data collection and management system in West Africa: challenges and sustainability.

BACKGROUND: Developing and sustaining a data collection and management system (DCMS) is difficult in malaria-endemic countries because of limitations in internet bandwidth, computer resources and numbers of trained personnel. The premise of this paper is that development of a DCMS in West Africa was a critically important outcome of the West African International Centers of Excellence for Malaria Research. The purposes of this paper are to make that information available to other investigators and to encourage the linkage of DCMSs to international research and Ministry of Health data systems and repositories. METHODS: We designed and implemented a DCMS to link study sites in Mali, Senegal and The Gambia. This system was based on case report forms for epidemiologic, entomologic, clinical and laboratory aspects of plasmodial infection and malarial disease for a longitudinal cohort study and included on-site training for Principal Investigators and Data Managers. Based on this experience, we propose guidelines for the design and sustainability of DCMSs in environments with limited resources and personnel. RESULTS: From 2012 to 2017, we performed biannual thick smear surveys for plasmodial infection, mosquito collections for anopheline biting rates and sporozoite rates and year-round passive case detection for malarial disease in four longitudinal cohorts with 7708 individuals and 918 households in Senegal, The Gambia and Mali. Major challenges included the development of uniform definitions and reporting, assessment of data entry error rates, unstable and limited internet access and software and technology maintenance. Strengths included entomologic collections linked to longitudinal cohort studies, on-site data centres and a cloud-based data repository. CONCLUSIONS: At a time when research on diseases of poverty in low and middle-income countries is a global priority, the resources available to ensure accurate data collection and the electronic availability of those data remain severely limited. Based on our experience, we suggest the development of a regional DCMS. This approach is more economical than separate data centres and has the potential to improve data quality by encouraging shared case definitions, data validation strategies and analytic approaches including the molecular analysis of treatment successes and failures.

Newborn Infection Control and Care Initiative for health facilities to accelerate reduction of newborn mortality (NICCI): study protocol for a randomized controlled trial.

BACKGROUND: Newborn health is a key issue in addressing the survival of children under five years old, particularly in low and middle income countries, and the evidence base for newborn health interventions continues to evolve. Over the last decade, maternal and under five-year-old mortality and morbidity rates have been successfully reduced in Cambodia, but newborn health has lagged behind. Evidence suggests that an important proportion of newborn mortality both globally and in Cambodia is attributable to infections and sepsis. While initiatives are being implemented to address some causes of newborn illness (related to pre-term birth and asphyxia), a country-level approach to reducing infections has not been formulated. The Newborn Infection Control and Care Initiative (NICCI) is a community and health facility linked intervention to improve health outcomes for newborns. METHODS/DESIGN: The present study applies a cluster randomized trial, using a stepped wedge design, to assess the impact of a package intervention on newborn health. The intervention components include addressing infection control in the perinatal period in health facilities, promoting infection prevention and control practices in health center and home environments, and improving the timeliness of referrals for newborns with suspected infections to appropriate health facilities, by linking families to the medical system through a network of community based volunteers who will make home visits to families in the first week of a newborn's life. DISCUSSION: The NICCI trial is designed to complement and enhance the Cambodian Ministry of Health strategies and objectives for maternal and newborn care. Results of the study will help to inform policy and the possible scale-up of newborn health interventions in the country. TRIAL REGISTRATION: This trial was registered with Clinicaltrials.gov (identifier: NCT02271737) on 5 October 2014.