Interfacial Electronic States of GeC/g-C3N4 van der Waal Heterostructure with Promising Photocatalytic Activity via Hydrogenation.

The bandgap of most known two-dimensional materials can be tuned by hydrogenation, although certain 2D materials lack a sufficient wide bandgap. Currently, it would be perfect to design non-toxic, low-cost, and high-performance photocatalysts for photocatalytic water splitting via hydrogenation. We systematically examine the impact of hydrogenation on the optical and electronic characteristics of GeC/g-C3N4 vdW heterostructures (vdWHs) with four different stacking patterns using first-principles calculations. The phonon spectra, interlayer distance, binding energies and ab initio molecular dynamics calculations show the kinetic, mechanical, and thermal stability of GeC/g-C3N4 vdWH after hydrogenation at 300, 500 and 800 K and possesses anisotropic Poisson's ratio, Young's and bulk modulus, suggesting that it's a promising candidate for experimental fabrication. According to an investigation of its electronic properties, GeC/g-C3N4 vdWH has a bandgap of 1.28 eV, but hydrogenation dramatically increases it to 2.47 eV. As a result of interface-induced electronic doping, the electronic states in g-C3N4 might be significantly adjusted by coming into contact with hydrogenated GeC sheets. The vdWH exhibits a type-II semiconductor, which can enhance the spatial separation of electron-hole pairs and has a strong red-shift of absorption coefficient than those of the constituent monolayers. The high potential drop caused by the significant valence and conduction band offsets effectively separated the charge carriers. The absorption coefficient of GeCH2/g-C3N4 vdWH is highly influenced by a biaxial compressive strain more than the biaxial tensile strain. Our theoretical research implies that the hydrogenated GeCH2/g-C3N4 vdWH possesses tunable optical and electronic behaviour for use as a hole-transport material in solar energy harvesting, nanoelectronic and optoelectronic devices.

Facilitators and barriers to home blood pressure monitoring among pregnant women in Ghana: a mixed-methods analysis of patient perspectives.

BACKGROUND: The benefit of home blood pressure monitoring during pregnancy and in low-resource settings is incompletely understood. The objective of this study was to explore the experiences, barriers, and facilitators of home blood pressure monitoring among pregnant women in Ghana. METHODS: This concurrent triangulation mixed-methods study was conducted at an urban tertiary hospital in Ghana. Participants were recruited from adult pregnant women presenting for routine antenatal care. Upon enrollment, participants' demographics and history were collected. At the next study visit, participants received audiovisual and hands-on training on using an automatic blood pressure monitor; they then monitored and logged their blood pressure daily at home for 2-4 weeks. At the final study visit, verbally administered surveys and semi-structured interviews assessed participant's experiences. Quantitative data were analyzed using R version 4.2.2, and frequencies and descriptive statistics were calculated. Qualitative data were imported into DeDoose 9.0.78 for thematic analysis. RESULTS: Of 235 enrolled participants, 194 completed surveys; of those, 33 completed in-depth interviews. Participants' mean age was 31.6 (SD 5.3) years, 32.1% had not previously given birth, and 31.1% had less than a senior high school education. On a 4-point Likert scale, the majority reported they "definitely" were able to remember (n = 134, 69.1%), could find the time (n = 124, 63.9%), had the energy (n = 157, 80.9%), could use the blood pressure monitor without problems (n = 155, 79.9%), and had family approval (n = 182, 96.3%) while engaging in home blood pressure monitoring. 95.88% (n = 186) believed that pregnant women in Ghana should monitor their blood pressure at home. Qualitative thematic analysis demonstrated that most participants liked home blood pressure monitoring because of increased knowledge of their health during pregnancy. While most participants found measuring their blood pressure at home doable, many faced challenges. Participants' experiences with five key factors influenced how easy or difficult their experience was: 1) Time, stress, and daily responsibilities; 2) Perceived importance of BP in pregnancy; 3) Role of family; 4) Capability of performing monitoring; 5) Convenience of monitoring. CONCLUSIONS: Among pregnant women in urban Ghana, home blood pressure monitoring was perceived as positive, important, and doable; however, challenges must be addressed.

MHC class II genes mediate susceptibility and resistance to coronavirus infections in bats.

Understanding the immunogenetic basis of coronavirus (CoV) susceptibility in major pathogen reservoirs, such as bats, is central to inferring their zoonotic potential. Members of the cryptic Hipposideros bat species complex differ in CoV susceptibility, but the underlying mechanisms remain unclear. The genes of the major histocompatibility complex (MHC) are the best understood genetic basis of pathogen resistance, and differences in MHC diversity are one possible reason for asymmetrical infection patterns among closely related species. Here, we aimed to link asymmetries in observed CoV (CoV-229E, CoV-2B and CoV-2Bbasal) susceptibility to immunogenetic differences amongst four Hipposideros bat species. From the 2072 bats assigned to their respective species using the mtDNA cytochrome b gene, members of the most numerous and ubiquitous species, Hipposideros caffer D, were most infected with CoV-229E and SARS-related CoV-2B. Using a subset of 569 bats, we determined that much of the existent allelic and functional (i.e. supertype) MHC DRB class II diversity originated from common ancestry. One MHC supertype shared amongst all species, ST12, was consistently linked to susceptibility with CoV-229E, which is closely related to the common cold agent HCoV-229E, and infected bats and those carrying ST12 had a lower body condition. The same MHC supertype was connected to resistance to CoV-2B, and bats with ST12 were less likely be co-infected with CoV-229E and CoV-2B. Our work suggests a role of immunogenetics in determining CoV susceptibility in bats. We advocate for the preservation of functional genetic and species diversity in reservoirs as a means of mitigating the risk of disease spillover.

Benefits and barriers of home blood pressure monitoring in pregnancy: perspectives of obstetric doctors from a Ghanaian tertiary hospital.

BACKGROUND: Delayed diagnosis of preeclampsia contributes to maternal morbidity and mortality. Patient-performed home blood pressure monitoring facilitates more frequent monitoring and earlier diagnosis. However, challenges may exist to implementation in low- and middle income-countries. METHODS: This cross-sectional mixed methods study evaluated obstetric doctors' perspectives on the benefits of and barriers to the implementation of home blood pressure monitoring among pregnant women in Ghana. Participants were doctors providing obstetric care at Korle Bu Teaching Hospital. Electronic surveys were completed by 75 participants (response rate 49.3%), consisting of demographics and questions on attitudes and perceived benefits and challenges of home BP monitoring. Semi-structured interviews were completed by 22 participants to expand on their perspectives. RESULTS: Quantitative and qualitative results converged to highlight that the current state of blood pressure monitoring among pregnant women in Ghana is inadequate. The majority agreed that delayed diagnosis of preeclampsia leads to poor health outcomes in their patients (90.6%, n = 68) and earlier detection would improve outcomes (98.7%, n = 74). Key qualitative benefits to the adoption of home blood pressure monitoring were patient empowerment and trust of diagnosis, more quantity and quality of blood pressure data, and improvement in systems-level efficiency. The most significant barriers were the cost of monitors, lack of a communication system to convey abnormal values, and low health literacy. Overall, doctors felt that most barriers could be overcome with patient education and counseling, and that benefits far outweighed barriers. The majority of doctors (81.3%, n = 61), would use home BP data to inform their clinical decisions and 89% (n = 67) would take immediate action based on elevated home BP values. 91% (n = 68) would recommend home BP monitoring to their pregnant patients. CONCLUSION: Obstetric doctors in Ghana strongly support the implementation of home blood pressure monitoring, would use values to inform their clinical management, and believe it would improve patient outcomes. Addressing the most significant barriers, including cost of blood pressure monitors, lack of a communication system to convey abnormal values, and need for patient education, is essential for successful implementation.

Response surface methodology as a tool to optimize the extraction of bioactive compounds from plant sources.

Response surface methodology (RSM) is a widely used mathematical and statistical technique for modeling and optimizing the process for the extraction of bioactive compounds. This review explains the optimization approach through the use of experimental design and empirical models for response prediction and the utilization of the desirability function for multiple response optimization. This paper also reviews recent studies on the application of RSM to optimize bioactive compound extraction processes such as conventional solvent extraction, microwave-assisted extraction, supercritical fluid extraction, and ultrasound-assisted extraction. Finally, the challenges associated with the use of RSM and the efforts made to improve RSM in the extraction process are also highlighted. Overall, this review informs many aspects of RSM that are occasionally ignored or insufficiently discussed with regard to the optimization of bioactive compound extraction processes, and it summarizes significant applications where RSM proved suitable. © 2022 Society of Chemical Industry.

Guiding placement of health facilities using multiple malaria criteria and an interactive tool.

BACKGROUND: Access to healthcare is important in controlling malaria burden and, as a result, distance or travel time to health facilities is often a significant predictor in modelling malaria prevalence. Adding new health facilities may reduce overall travel time to health facilities and may decrease malaria transmission. To help guide local decision-makers as they scale up community-based accessibility, the influence of the spatial allocation of new health facilities on malaria prevalence is evaluated in Bunkpurugu-Yunyoo district in northern Ghana. A location-allocation analysis is performed to find optimal locations of new health facilities by separately minimizing three district-wide objectives: malaria prevalence, malaria incidence, and average travel time to health facilities. METHODS: Generalized additive models was used to estimate the relationship between malaria prevalence and travel time to the nearest health facility and other geospatial covariates. The model predictions are then used to calculate the optimisation criteria for the location-allocation analysis. This analysis was performed for two scenarios: adding new health facilities to the existing ones, and a hypothetical scenario in which the community-based healthcare facilities would be allocated anew. An interactive web application was created to facilitate efficient presentation of this analysis and allow users to experiment with their choice of health facility location and optimisation criteria. RESULTS: Using malaria prevalence and travel time as optimisation criteria, two locations that would benefit from new health facilities were identified, regardless of scenarios. Due to the non-linear relationship between malaria incidence and prevalence, the optimal locations chosen based on the incidence criterion tended to be inequitable and was different from those based on the other optimisation criteria. CONCLUSIONS: This study findings underscore the importance of using multiple optimisation criteria in the decision-making process. This analysis and the interactive application can be repurposed for other regions and criteria, bridging the gap between science, models and decisions.

Implementing newborn screening for sickle cell disease in Korle Bu Teaching Hospital, Accra: Results and lessons learned.

BACKGROUND: Early diagnosis of sickle cell disease (SCD) through newborn screening (NBS) is a cost-effective intervention, which reduces morbidity and mortality. In sub-Saharan Africa (SSA) where disease burden is greatest, there are no universal NBS programs and few institutions have the capacity to conduct NBS. We determined the feasibility and challenges of implementing NBS for SCD in Ghana's largest public hospital. PROCEDURE: The SCD NBS program at Korle Bu Teaching Hospital (KBTH) is a multiyear partnership between the hospital and the SickKids Center for Global Child Health, Toronto, being implemented in phases. The 13-month demonstration phase (June 2017-July 2018) and phase one (November 2018-December 2019) focused on staff training and the feasibility of universal screening of babies born in KBTH. RESULTS: During the demonstration phase, 115 public health nurses and midwives acquired competency in heel stick for dried blood spot sampling. Out of 9990 newborns, 4427 babies (44.3%) were screened, of which 79 (1.8%) were identified with presumptive SCD (P-SCD). Major challenges identified included inadequate nursing staff to perform screening, shortage of screening supplies, and delays in receiving screening results. Strategies to overcome some of the challenges were incorporated into phase one, resulting in increased screening coverage to 83.7%. CONCLUSIONS: Implementing NBS for SCD in KBTH presented challenges with implications on achieving and sustaining universal NBS in KBTH and other settings in SSA. Specific steps addressing these challenges comprehensively will help build on the modest initial gains, moving closer toward a sustainable national NBS program.

'Asram is really killing us here': attribution for pregnancy losses and newborn mortality in the Ashanti Region of Ghana.

While overall neonatal mortality rates are improving in Ghana, the Ashanti Region has the highest mortality rate in the country. The clinical causes of newborn deaths are well known, yet local beliefs about illness aetiology, cause of death and care-seeking are less well understood. This exploratory qualitative study sought to understand how community members perceive and respond to neonatal illness. Researchers worked with public health nurses, community health nurses and opinion leaders in the Ashanti Region of Ghana to identify women who had lost a baby, either during pregnancy or after delivery. In-depth interviews and focus group discussions were conducted about knowledge, attitudes and beliefs regarding neonatal mortality. The transcripts were coded and analysed using NVivo 10.0. A total of 100 participants were interviewed: 24% reported a previous stillbirth; 37% reported a previous miscarriage; and 45% reported losing a baby who was born alive. Nine per cent experienced more than one type of loss. The local illness of asram - an illness with supernatural causes - was cited as a leading cause of death of newborns. Every participant reported hearing of, knowing someone, or having a child who had become ill with asram. While women gave varying information on symptoms, method of contraction and treatment, all participants agreed that asram was common and often fatal. Four overarching themes emerged: 1) asram is not a hospital sickness; 2) there is both a fear of traditional healers as a source of asram, as well as a reliance upon them to cure asram; 3) there are rural/urban differences in perceptions of asram; and 4) asram may serve as a mechanism of social control for pregnant women and new mothers. Local beliefs and practices must be better understood and incorporated into health education campaigns if neonatal mortality is to be reduced in Ghana.

Maternal mortality at the Korle Bu Teaching Hospital, Accra, Ghana: A five-year review.

Maternal death is a major global health issue with the highest impact in low-income countries. Despite some modest decline in the maternal mortality rates in Ghana since the 1990's, this has been below expectation. The aim of this study was to describe the trends and contributory factors to maternal mortality at the Korle Bu Teaching Hospital (KBTH), Accra, Ghana. We performed a retrospective chart review of all maternal deaths at KBTH from 2015 to 2019. Data were analyzed using SPSS version 23. A p-value of <0.05 was considered statistically significant. Over the period, there were 45,676 live births, 276 maternal deaths and a maternal mortality ratio of 604/100,000 live births (95% CI: 590/100,000 - 739/100,000). The leading causes of maternal death were hypertensive disorders (37.3%), hemorrhage (20.6%), Sickle cell disease (8.3%), sepsis (8.3%), and pulmonary embolism (8.0%). Significant factors associated with maternal mortalities at the KBTH were: women with no formal education [AOR 3.23 (CI: 1.73- 7.61)], women who had less than four antenatal visits [AOR 1.93(CI: 1.23-3.03)], and emergency cesarean section [AOR 3.87(CI: 2.51-5.98)]. Hypertensive disorders remain the commonest cause of the high maternal mortality at KBTH. Formal education and improvement in antenatal visits may help prevent these deaths.

Molecular-based cross-species evaluation of bovine coronavirus infection in cattle, sheep and goats in Ghana.

BACKGROUND: Apart from the huge worldwide economic losses often occasioned by bovine coronavirus (BCoV) to the livestock industry, particularly with respect to cattle rearing, continuous surveillance of the virus in cattle and small ruminants is essential in monitoring variations in the virus that could enhance host switching. In this study, we collected rectal swabs from a total of 1,498 cattle, sheep and goats. BCoV detection was based on reverse transcriptase polymerase chain reaction. Sanger sequencing of the partial RNA-dependent RNA polymerase (RdRp) region for postive samples were done and nucleotide sequences were compared with homologous sequences from the GenBank. RESULTS: The study reports a BCoV prevalence of 0.3%, consisting of 4 positive cases; 3 goats and 1 cattle. Less than 10% of all the animals sampled showed clinical signs such as diarrhea and respiratory distress except for high temperature which occurred in > 1000 of the animals. However, none of the 4 BCoV positive animals manifested any clinical signs of the infection at the time of sample collection. Bayesian majority-rule cladogram comparing partial and full length BCoV RdRp genes obtained in the study to data from the GenBank revealed that the sequences obtained from this study formed one large monophyletic group with those from different species and countries. The goat sequences were similar to each other and clustered within the same clade. No major variations were thus observed between our isolates and those from elsewhere. CONCLUSIONS: Given that Ghana predominantly practices the extensive and semi-intensive systems of animal rearing, our study highlights the potential for spillover of BCoV to small ruminants in settings with mixed husbandry and limited separation between species.

Preeclampsia knowledge among postpartum women treated for preeclampsia and eclampsia at Korle Bu Teaching Hospital in Accra, Ghana.

BACKGROUND: Preeclampsia/eclampsia is a major cause of maternal morbidity and mortality worldwide, yet patients' perspectives about their diagnosis are not well understood. Our study examines patient knowledge among women with preeclampsia/eclampsia in a large urban hospital in Ghana. METHODS: Postpartum women diagnosed with preeclampsia or eclampsia were asked to complete a survey 2-5 days after delivery that assessed demographic information, key obstetric factors, and questions regarding provider counseling. Provider counseling on diagnosis, causes, complications, and future health effects of preeclampsia/eclampsia was quantified on a 4-point scale ('Counseling Composite Score'). Participants also completed an objective knowledge assessment regarding preeclampsia/eclampsia, scored from 0 to 22 points ('Preeclampsia/Eclampsia Knowledge Score' (PEKS)). Linear regression was used to identify predictors of knowledge score. RESULTS: A total of 150 participants were recruited, 88.7% (133) with preeclampsia and 11.3% (17) with eclampsia. Participants had a median age of 32 years, median parity of 2, and mean number of 5.4 antenatal visits. Approximately half of participants reported primary education as their highest level of education. While 74% of women reported having a complication during pregnancy, only 32% of participants with preeclampsia were able to correctly identify their diagnosis, and no participants diagnosed with eclampsia could correctly identify their diagnosis. Thirty-one percent of participants reported receiving no counseling from providers, and only 11% received counseling in all four categories. Even when counseled, 40-50% of participants reported incomplete understanding. Out of 22 possible points on a cumulative knowledge assessment scale, participants had a mean score of 12.9 ± 0.38. Adjusting for age, parity, and the number of antenatal visits, higher scores on the knowledge assessment are associated with more provider counseling (ß 1.4, SE 0.3, p < 0.001) and higher level of education (ß 1.3, SE 0.48, p = 0.008). CONCLUSIONS: Counseling by healthcare providers is associated with higher performance on a knowledge assessment about preeclampsia/eclampsia. Patient knowledge about preeclampsia/eclampsia is important for efforts to encourage informed healthcare decisions, promote early antenatal care, and improve self-recognition of warning signs-ultimately improving morbidity and reducing mortality.

Correlating maternal iodine status with neonatal thyroid function in two hospital populations in Ghana: a multicenter cross-sectional pilot study.

BACKGROUND: Congenital hypothyroidism is a common, yet easily treatable cause of poor growth and intellectual disability. Newborn screening programs play an important role in the early detection and treatment of congenital hypothyroidism. However, an estimated 71% of children are born in countries such as Ghana, which does not have a screening program. Iodine deficiency, a common cause of congenital hypothyroidism, is present in the Ghanaian population. Mild to moderate maternal iodine deficiency may negatively impact cognitive function in children. A structured approach to examine the association between maternal iodine levels and infant thyroid function may have important ramifications on our understanding of congenital hypothyroidism in Ghana. We investigated the hypothesis that maternal iodine deficiency impacts infant thyroid function, using Thyroid Stimulating Hormone (TSH) as a marker of thyroid function. We also explored potential opportunities and barriers to newborn screening for congenital hypothyroidism in Ghana. METHODS: This was a cross-sectional, multicenter pilot study of 250 women and their neonates recruited from post-natal clinics in Accra and Tamale, Ghana. We compared maternal urine iodine concentration and infant TSH, as well as maternal sociodemographic and nutrition information. Regression models were used to model the relationship between variables. RESULTS: Median infant TSH was 4.7 µIU/ml (95% CI: 3.9-5.5) in Accra. In Tamale, the median infant TSH was 3.5 µIU/ml (95%CI: 3.3 to 3.6) (Δ: 1.3 µIU/ml, 95% CI: 0.5-2.1, p = 0.002). Median maternal urine iodine concentrations were 141.0 µg/L (95% CI: 115.7 to 166.3) and 142.5 µg/L (95% CI: 125.1 to 160.0) in Accra and Tamale, respectively (Δ: - 1.5 µIU/ml, 95% CI: - 32.2 - 29.2, p = 0.925). There was a weakly positive correlation between maternal urine iodine and infant TSH (rho 0.1, p = 0.02). Almost one-third (30%) of women in both locations had biochemical evidence of iodine deficiency. Mothers with any formal education were more likely to have higher iodine levels than their counterparts who had no formal education (coefficient 0.31, p = 0.006). CONCLUSIONS: Maternal iodine deficiency is prevalent in Ghana and is correlated to infant thyroid function. We recommend studies with larger sample sizes to assess the true scope of this relationship.

'This sickness is not hospital sickness': a qualitative study of the evil eye as a source of neonatal illness in Ghana.

Previous research has described the evil eye as a source of illness for pregnant women and their newborns. This study sought to explore the perceptions of the evil eye among mothers whose newborns had experienced a life-threatening complication across three regions of Ghana. As part of a larger, quantitative study, trained research assistants identified pregnant and newly delivered women (and their newborns) who had survived a life-threatening complication at three tertiary care hospitals in southern Ghana to participate in open-ended, qualitative interviews about their experiences in March-August 2015. All interviews were audio-recorded and transcribed verbatim into English and analysis using the constant comparative method of theme generation. A total of 37 mothers were interviewed, 20 about neonatal illnesses and 17 about maternal illnesses. Six of the 20 mothers interviewed about their newborn's illnesses spoke at length about the evil eye being a potential cause of newborn illness. The evil eye was described in a variety of terms, but commonalities included a person looking at a pregnant woman, her newborn baby, the baby's clothes and even the mother's food, causing harm, even unintentionally. Prevention required mothers covering themselves while pregnant and keeping the baby away from others until it was old enough to ward off the evil eye. Treatment required traditional medicine, yet some indicated that allopathic medicine could help. The evil eye appears to serve a social control mechanism, encouraging pregnant women to dress modestly, stay indoors as much as possible and behave appropriately. The evil eye is a pervasive, universally understood phenomenon across three regions of Ghana, even amongst a hospitalized population receiving allopathic health care for life-threatening complications of childbirth. Understanding the role of the evil eye in newborn illness attribution is important for clinicians, researchers and programmatic staff to effectively address barriers to care seeking.

A unique stylopod patterning mechanism by Shox2-controlled osteogenesis.

Vertebrate appendage patterning is programmed by Hox-TALE factor-bound regulatory elements. However, it remains unclear which cell lineages are commissioned by Hox-TALE factors to generate regional specific patterns and whether other Hox-TALE co-factors exist. In this study, we investigated the transcriptional mechanisms controlled by the Shox2 transcriptional regulator in limb patterning. Harnessing an osteogenic lineage-specific Shox2 inactivation approach we show that despite widespread Shox2 expression in multiple cell lineages, lack of the stylopod observed upon Shox2 deficiency is a specific result of Shox2 loss of function in the osteogenic lineage. ChIP-Seq revealed robust interaction of Shox2 with cis-regulatory enhancers clustering around skeletogenic genes that are also bound by Hox-TALE factors, supporting a lineage autonomous function of Shox2 in osteogenic lineage fate determination and skeleton patterning. Pbx ChIP-Seq further allowed the genome-wide identification of cis-regulatory modules exhibiting co-occupancy of Pbx, Meis and Shox2 transcriptional regulators. Integrative analysis of ChIP-Seq and RNA-Seq data and transgenic enhancer assays indicate that Shox2 patterns the stylopod as a repressor via interaction with enhancers active in the proximal limb mesenchyme and antagonizes the repressive function of TALE factors in osteogenesis.

Determinants of bed net use conditional on access in population surveys in Ghana.

BACKGROUND: Insecticide-treated nets (ITNs) are one of the most effective and widely available methods for preventing malaria, and there is interest in understanding the complexities of behavioural drivers of non-use among those with access. This analysis evaluated net use behaviour in Ghana by exploring how several household and environmental variables relate to use among Ghanaians with access to a net. METHODS: Survey data from the Ghana 2014 Demographic and Health Survey and the 2016 Malaria Indicator Survey were used to calculate household members' access to space under a net as well as the proportion of net use conditional on access (NUCA). Geospatial information on cluster location was obtained, as well as average humidex, a measure of how hot it feels, for the month each cluster was surveyed. The relationship between independent variables and net use was assessed via beta-binomial regression models that controlled for spatially correlated random effects using non-Gaussian kriging. RESULTS: In both surveys, increasing wealth was associated with decreased net use among those with access in households when compared to the poorest category. In 2014, exposure to messages about bed net use for malaria prevention was associated with increased net use (OR 2.5, 95% CrI 1.5-4.2), as was living in a rural area in both 2014 (OR 2.5, 95% CrI 1.5-4.3) and 2016 (OR 1.6, 95% CrI 1.1-2.3). The number of nets per person was not associated with net use in either survey. Model fit was improved for both surveys by including a spatial random effect for cluster, demonstrating some spatial autocorrelation in the proportion of people using a net. Humidex, electricity in the household and IRS were not associated with NUCA. CONCLUSION: Net use conditional on access is affected by household characteristics and is also spatially-dependent in Ghana. Setting (whether the household was urban or rural) plays a role, with wealthier and more urban households less likely to use nets when they are available. It will likely be necessary in the future to focus on rural settings, urban settings, and wealth status independently, both to better understand predictors of household net use in these areas and to design more targeted interventions to ensure consistent use of vector control interventions that meet specific needs of the population.

Characterizing local-scale heterogeneity of malaria risk: a case study in Bunkpurugu-Yunyoo district in northern Ghana.

BACKGROUND: Bayesian methods have been used to generate country-level and global maps of malaria prevalence. With increasing availability of detailed malaria surveillance data, these methodologies can also be used to identify fine-scale heterogeneity of malaria parasitaemia for operational prevention and control of malaria. METHODS: In this article, a Bayesian geostatistical model was applied to six malaria parasitaemia surveys conducted during rainy and dry seasons between November 2010 and 2013 to characterize the micro-scale spatial heterogeneity of malaria risk in northern Ghana. RESULTS: The geostatistical model showed substantial spatial heterogeneity, with malaria parasite prevalence varying between 19 and 90%, and revealing a northeast to southwest gradient of predicted risk. The spatial distribution of prevalence was heavily influenced by two modest urban centres, with a substantially lower prevalence in urban centres compared to rural areas. Although strong seasonal variations were observed, spatial malaria prevalence patterns did not change substantially from year to year. Furthermore, independent surveillance data suggested that the model had a relatively good predictive performance when extrapolated to a neighbouring district. CONCLUSIONS: This high variability in malaria prevalence is striking, given that this small area (approximately 30 km × 40 km) was purportedly homogeneous based on country-level spatial analysis, suggesting that fine-scale parasitaemia data might be critical to guide district-level programmatic efforts to prevent and control malaria. Extrapolations results suggest that fine-scale parasitaemia data can be useful for spatial predictions in neighbouring unsampled districts and does not have to be collected every year to aid district-level operations, helping to alleviate concerns regarding the cost of fine-scale data collection.

Multidisciplinary care results in similar maternal and perinatal mortality rates for women with and without SCD in a low-resource setting.

In Africa, the maternal mortality rate in sickle cell disease (SCD) is ~10%. Our team previously demonstrated an 89% decrease in mortality rate in a before-and-after feasibility study among women with SCD living in low-resource setting in Ghana. In the same cohort including additional participants with and without SCD, we used a prospective cohort design to test the hypothesis that implementing a multidisciplinary care team for pregnant women with SCD in low-resource setting will result in similar maternal and perinatal mortality rates compared to women without SCD. We prospectively enrolled pregnant women with and without SCD or trait and followed them up for 6-week postpartum. We tested the newborns of mothers with SCD for SCD. We recruited age and parity matched pregnant women without SCD or trait as the comparison group. Maternal and perinatal mortality rates were the primary outcomes. A total of 149 pregnant women with SCD (HbSS, 54; HbSC, 95) and 117 pregnant women without SCD or trait were included in the analysis. Post-intervention, maternal mortality rates were 1.3% and 0.9% in women with and without SCD, respectively (P = 1.00); the perinatal mortality rates were 7.4% and 3.4% for women with and without SCD, respectively (P = 0.164). Among the mothers with SCD, ~15% of newborns had SCD. Multidisciplinary care of pregnant women with SCD may reduce maternal and perinatal mortality rates to similar levels in pregnant women without SCD in low-resource settings. Newborns of mothers with SCD have a high rate of SCD.

Neonatal near-misses in Ghana: a prospective, observational, multi-center study.

BACKGROUND: For every newborn who dies within the first month, as many as eight more suffer life-threatening complications but survive (termed 'neonatal near-misses' (NNM)). However, there is no universally agreed-upon definition or assessment tool for NNM. This study sought to describe the development of the Neonatal Near-Miss Assessment Tool (NNMAT) for low-resource settings, as well as findings when implemented in Ghana. METHODS: This prospective, observational study was conducted at two tertiary care hospitals in southern Ghana from April - July 2015. Newborns with evidence of complications and those admitted to the NICUs were screened for inclusion using the NNMAT. Incidence of suspected NNM at enrollment and confirmed near-miss (surviving to 28 days) was determined and compared against institutional neonatal mortality rates. Suspected NNM cases were compared with newborns not classified as a suspected near-miss, and all were followed to 28 days to determine odds of survival. Confirmed near-misses were those identified as suspected near-misses at enrollment who survived to 28 days. The main outcome measures were incidence of NNM, NNM:mortality ratio, and factors associated with NNM classification. RESULTS: Out of 394 newborns with complications, 341 (86.5%) were initially classified as suspected near-misses at enrollment using the NNMAT, with 53 (13.4%) being classified as a non-near-miss. At 28-day follow-up, 68 (17%) had died, 52 (13%) were classified as a non-near-miss, and 274 were considered confirmed near-misses. Those newborns with complications who were classified as suspected near-misses using the NNMAT at enrollment had 12 times the odds of dying before 28 days than those classified as non-near-misses. While most confirmed near-misses qualified as NNM via intervention-based criteria, nearly two-thirds qualified based on two or more of the four NNMAT categories. When disaggregated, the most predictive elements of the NNMAT were gestational age < 33 weeks, neurologic dysfunction, respiratory dysfunction, and hemoglobin < 10 gd/dl. The ratio of near-misses to deaths was 0.55: 1, yet this varied across the study sites. CONCLUSIONS: This research suggests that the NNMAT is an effective tool for assessing neonatal near-misses in low-resource settings. We believe this approach has significant systems-level, continuous quality improvement, clinical and policy-level implications.

Detecting local risk factors for residual malaria in northern Ghana using Bayesian model averaging.

BACKGROUND: There is a need for comprehensive evaluations of the underlying local factors that contribute to residual malaria in sub-Saharan Africa. However, it is difficult to compare the wide array of demographic, socio-economic, and environmental variables associated with malaria transmission using standard statistical approaches while accounting for seasonal differences and nonlinear relationships. This article uses a Bayesian model averaging (BMA) approach for identifying and comparing potential risk and protective factors associated with residual malaria. RESULTS: The relative influence of a comprehensive set of demographic, socio-economic, environmental, and malaria intervention variables on malaria prevalence were modelled using BMA for variable selection. Data were collected in Bunkpurugu-Yunyoo, a rural district in northeast Ghana that experiences holoendemic seasonal malaria transmission, over six biannual surveys from 2010 to 2013. A total of 10,022 children between the ages 6 to 59 months were used in the analysis. Multiple models were developed to identify important risk and protective factors, accounting for seasonal patterns and nonlinear relationships. These models revealed pronounced nonlinear associations between malaria risk and distance from the nearest urban centre and health facility. Furthermore, the association between malaria risk and age and some ethnic groups was significantly different in the rainy and dry seasons. BMA outperformed other commonly used regression approaches in out-of-sample predictive ability using a season-to-season validation approach. CONCLUSIONS: This modelling framework offers an alternative approach to disease risk factor analysis that generates interpretable models, can reveal complex, nonlinear relationships, incorporates uncertainty in model selection, and produces accurate predictions. Certain modelling applications, such as designing targeted local interventions, require more sophisticated statistical methods which are capable of handling a wide range of relevant data while maintaining interpretability and predictive performance, and directly characterize uncertainty. To this end, BMA represents a valuable tool for constructing more informative models for understanding risk factors for malaria, as well as other vector-borne and environmentally mediated diseases.