Background: In sub-Saharan Africa, women's disclosure of HIVpositive status to others may affect their use of services for prevention of mother-to-child transmission of HIV (PMTCT) of HIV and maternal and child health-including antenatal care, antiretroviral drugs (ARVs) for PMTCT, and skilled birth attendance.Methods: Using data from the Migori and AIDS Stigma Study conducted in rural Nyanza Province, Kenya, we compared the use of PMTCT and maternal health services for all women by HIV status and disclosure category (n = 390). Among HIV-infected women (n = 145), associations between disclosure of HIV-positive status and the use of services were further examined with bivariate and multivariate logistic regression analyses.Results: Women living with HIV who had not disclosed to anyone had the lowest levels of maternity and PMTCT service utilization. For example, only 21% of these women gave birth in a health facility, compared with 35% of HIV-negative women and 49% of HIV-positive women who had disclosed (P < 0.001). Among HIVpositive women, the effect of disclosure to anyone on ARV drug use [odds ratio (OR) = 5.8; 95% confidence interval (CI): 1.9 to 17.8] and facility birth (OR = 2.9; 95% CI: 1.4 to 5.7) remained large and significant after adjusting for confounders. Disclosure to a male partner had a particularly strong effect on the use of ARVs for PMTCT (OR = 7.9; 95% CI: 3.7 to 17.1).Conclusions: HIV-positive status disclosure seems to be a complex yet critical factor for the use of PMTCT and maternal health services in this setting. The design of interventions to promote such disclosure must recognize the impact of HIV-related stigma on disclosure decisions and protect women's rights, autonomy, and safety.
Due to life-enhancing effects of antiretroviral therapy, HIV-positive persons have the potential for long life comparable to their uninfected peers. Older women (age 50+) living with HIV (OWLH) are often an under-recognized aging group. We conducted a systematic review to examine psychosocial factors that impact how OWLH live, cope, and age with HIV. Initial key word search yielded 1527 records, and 21 studies met our inclusion criteria of original quantitative or qualitative research published between 2013 and 2016 with results specific to OWLH. These focused on health care and self-management, sexual health and risk, stigma, loneliness, mental health (depression, substance use), and protective factors (coping, social support, well-being). Due to the scarcity of studies on each topic and inconclusive findings, no clear patterns of results emerged. As the number of OWLH continues to grow, more research, including longitudinal studies, is needed to fully characterize the psychosocial factors that impact aging with HIV.
Background:
Data collected by mobile devices can augment surveillance of epidemics in real time. However, methods and evidence for the integration of these data into modern surveillance systems are sparse. We linked call detail records (CDR) with an influenza-like illness (ILI) registry and evaluated the role that Icelandic international travellers played in the introduction and propagation of influenza A/H1N1pdm09 virus in Iceland through the course of the 2009 pandemic.
Methods:
This nested case-control study compared odds of exposure to Keflavik International Airport among cases and matched controls producing longitudinal two-week matched odds ratios (mORs) from August to December 2009. We further evaluated rates of ILI among 1st- and 2nd-degree phone connections of cases compared to their matched controls.
Results:
The mOR was elevated in the initial stages of the epidemic from 7 August until 21 August (mOR = 2.53; 95% confidence interval (CI) = 1.35, 4.78). During the two-week period from 17 August through 31 August, we calculated the two-week incidence density ratio of ILI among 1st-degree connections to be 2.96 (95% CI: 1.43, 5.84).
Conclusions:
Exposure to Keflavik International Airport increased the risk of incident ILI diagnoses during the initial stages of the epidemic. Using these methods for other regions of Iceland, we evaluated the geographic spread of ILI over the course of the epidemic. Our methods were validated through similar evaluation of a domestic airport. The techniques described in this study can be used for hypothesis-driven evaluations of locations and behaviours during an epidemic and their associations with health outcomes.
by
Julie A. Womack;
Terrence E. Murphy;
Harini Bathulapalli;
Kathleen M. Akgun;
Cynthia Gibert;
Ken M. Kunisaki;
David Rimland;
Maria Rodriguez-Barradas;
H. Klar Yaggi;
Amy C. Justice;
Nancy S. Redeker
With over 3 billion airline passengers annually, the inflight transmission of infectious diseases is an important global health concern. Over a dozen cases of inflight transmission of serious infections have been documented, and air travel can serve as a conduit for the rapid spread of newly emerging infections and pandemics. Despite sensational media stories and anecdotes, the risks of transmission of respiratory viruses in an airplane cabin are unknown. Movements of passengers and crew may facilitate disease transmission. On 10 transcontinental US flights, we chronicled behaviors and movements of individuals in the economy cabin on single-aisle aircraft. We simulated transmission during flight based on these data. Our results indicate there is low probability of direct transmission to passengers not seated in close proximity to an infectious passenger. This data-driven, dynamic network transmission model of droplet-mediated respiratory disease is unique. To measure the true pathogen burden, our team collected 229 environmental samples during the flights. Although eight flights were during Influenza season, all qPCR assays for 18 common respiratory viruses were negative.
Background: Despite nurses’ responsibilities in recognition and treatment of sepsis, little evidence documents whether patient-to-nurse staffing ratios are associated with clinical outcomes for patients with sepsis. Methods: Using linked data sources from 2017 including MEDPAR patient claims, Hospital Compare, American Hospital Association, and a large survey of nurses, we estimate the effect of hospital patient-to-nurse staffing ratios and adherence to the Early Management Bundle for patients with Severe Sepsis/Septic Shock SEP-1 sepsis bundles on patients’ odds of in-hospital and 60-day mortality, readmission, and length of stay. Logistic regression is used to estimate mortality and readmission, while zero-truncated negative binomial models are used for length of stay. Results: Each additional patient per nurse is associated with 12% higher odds of in-hospital mortality, 7% higher odds of 60-day mortality, 7% higher odds of 60-day readmission, and longer lengths of stay, even after accounting for patient and hospital covariates including hospital adherence to SEP-1 bundles. Adherence to SEP-1 bundles is associated with lower in-hospital mortality and shorter lengths of stay; however, the effects are markedly smaller than those observed for staffing. Discussion: Improving hospital nurse staffing over and above implementing sepsis bundles holds promise for significant improvements in sepsis patient outcomes.
by
Rebecca Mitchell;
Zhiyong Zhou;
Mili Sheth;
Sheila Sergent;
Michael Frace;
Vishal Nayak;
Bin Hu;
John Gimnig;
Feiko Ter Kuile;
Kim Lindblade;
Laurence Slutsker;
Mary J. Hamel;
Meghna Desai;
Kephas Otieno;
Simon Kariuki;
Ymir Vigfusson;
Ya Ping Shi
Background
Simultaneous infection with multiple malaria parasite strains is common in high transmission areas. Quantifying the number of strains per host, or the multiplicity of infection (MOI), provides additional parasite indices for assessing transmission levels but it is challenging to measure accurately with current tools. This paper presents new laboratory and analytical methods for estimating the MOI of Plasmodium falciparum.
Methods
Based on 24 single nucleotide polymorphisms (SNPs) previously identified as stable, unlinked targets across 12 of the 14 chromosomes within P. falciparum genome, three multiplex PCRs of short target regions and subsequent next generation sequencing (NGS) of the amplicons were developed. A bioinformatics pipeline including B4Screening pathway removed spurious amplicons to ensure consistent frequency calls at each SNP location, compiled amplicons by SNP site diversity, and performed algorithmic haplotype and strain reconstruction. The pipeline was validated by 108 samples generated from cultured-laboratory strain mixtures in different proportions and concentrations, with and without pre-amplification, and using whole blood and dried blood spots (DBS). The pipeline was applied to 273 smear-positive samples from surveys conducted in western Kenya, then providing results into StrainRecon Thresholding for Infection Multiplicity (STIM), a novel MOI estimator.
Results
The 24 barcode SNPs were successfully identified uniformly across the 12 chromosomes of P. falciparum in a sample using the pipeline. Pre-amplification and parasite concentration, while non-linearly associated with SNP read depth, did not influence the SNP frequency calls. Based on consistent SNP frequency calls at targeted locations, the algorithmic strain reconstruction for each laboratory-mixed sample had 98.5% accuracy in dominant strains. STIM detected up to 5 strains in field samples from western Kenya and showed declining MOI over time (q < 0.02), from 4.32 strains per infected person in 1996 to 4.01, 3.56 and 3.35 in 2001, 2007 and 2012, and a reduction in the proportion of samples with 5 strains from 57% in 1996 to 18% in 2012.
Conclusion
The combined approach of new multiplex PCRs and NGS, the unique bioinformatics pipeline and STIM could identify 24 barcode SNPs of P. falciparum correctly and consistently. The methodology could be applied to field samples to reliably measure temporal changes in MOI.