Environmental management systems in construction projects in Kenya: barriers, drivers, adoption levels

The construction industry is established to be responsible for one third of Green House Gas (GHG) emissions and has an oversized carbon footprint which is attributed to the industry’s large materials’ appetite. The industry is heavily reliant on natural resource utilisation and is reported to contribute over 33% of waste materials in the landfills. Kenya seems to be fighting a losing battle with poor management of natural resources, waste management, inter alia environmental impacts associated with; the extraction, transport, processing, fabrication, installation and disposal of the building industry materials.Waste management and handling of hazardous material is a menace to rapidly developing nations. To keep economic progress in its path, sustainable resource use and responsible waste management is needful. Action needs to be stirred in the construction sector as the major polluter. Sound and practical management of environmental matters cannot be decoupled from enterprise risk management. Therefore, corporate governance in construction firms needs to adopt responsible resource consumption and production for overall sustainable growth and development.In an effort to understand and address this problem at source, this study evaluated the level of fusion of business and environmental goals in the construction sector in Kenya. It critically examines at project level, Environmental Management Systems (EMS) employed by established and new entrant construction firms, with a focus on waste management, hazardous material (HazMat) waste handling, barriers and drivers of environmental performance as well as level of inclusion of environmental aspects in product design in the construction firms in Kenya.The paper further, proposes solid ways to broaden and enhance the quality of environmentally conscious infrastructure in developing nations like Kenya.Keywords: construction, demolition, waste, policy, sustainability, barriers and driver

Characteristics of HIV-infected children seen in Western Kenya

Objectives: To describe the characteristics and outcomes of children registered for care in a large HIV care programme in Western Kenya. Design: A retrospective descriptive study. Setting: USAID-AMPATH HIV clinics in health centres; district and sub-district hospitals; Moi Teaching and Referral Hospital in Western Kenya. Subjects: HIV-infected children below age of 15 years seen in a network of 18 clinics in Western Kenya. Interventions: Paediatric HIV diagnosis and care including treatment and prevention of opportunistic infections and provision of combination antiretroviral therapy (CART). Main outcome measures: Diagnosis, clinical stage and immune status at enrollment and follow-up; hospitalisation and death. Descriptive statistical analyses and chi square tests were performed. Results: Four thousand and seventeen HIV-infected children seen between June 2002 and April 2008. Median age at enrollment was four years (0-14.2 years), 51% girls, 25% paternal orphans, 10% total orphans and 13% maternal orphans. At enrollment, 25% had weight-for-Age Z scores (WAZ)\u3e -1 and 21% had WAZ scores \u3c 3. Orphaned children had worse WAZ scores (p=0.0001). Twenty five per cent of children were classified as WHO clinical stage 3 and 4, 56% were WHO clinical stages 1 and 2 with 19% missing clinical staging at enrollment. Cough (25%), gastroenteritis (21%), fever (15%), pneumonia (10%) were the commonest presenting features. Twenty six per cent had been diagnosed with tuberculosis and only 25% started on cotrimoxazole preventive therapy (CPT). Median CD4% at enrollment was 16% (0-64%); latest recorded values were 22% (0-64). Sixty four per cent were on cART (cART+), median age at start was 5.4 (014.4 years).The median initial CD4% among cART+ was 13 (0-62) compared to 24 (0-64) for those not on ART (cART-). Median CD4% for cART+ improved to 22% (0-59); whereas cART- was 23% (0- 64) at last appointment. During the period of follow-up, one fifth (19%) of children on cART were lost to follow-up compared to slightly over one third (37%) for those not on cART. Thirty four percent were hospitalised; 41% diagnosed with pneumonia. Six per cent of 4017 were confirmed dead. Conclusions: HIV -infected children were enrolled in care early in childhood. Orphanhood was prevalent in these children as were gastroenteritis, fever, pneumonia and advanced immuno-suppression. Orphans were more likely to be severely malnourished. Only a quarter of children were put on cotrimoxazole preventive therapy. Children commenced on cART late but responded well to treatment. Loss to follow-up was less prevalent among those on cART

Removing subordinate species in a biodiversity experiment to mimic observational field studies

Background: Positive effects of plant species richness on community biomass in biodiversity experiments are often stronger than those from observational field studies. This may be because experiments are initiated with randomly assembled species compositions whereas field communities have experienced filtering. Methods: We compared aboveground biomass production of randomly assembled communities of 2–16 species (controls) with experimentally filtered communities from which subordinate species were removed, resulting in removal communities of 1–8 species. Results: Removal communities had (1) 12.6% higher biomass than control communities from which they were derived, that is, with double species richness and (2) 32.0% higher biomass than control communities of equal richness. These differences were maintained along the richness gradient. The increased productivity of removal communities was paralleled by increased species evenness and complementarity. Conclusions: Result (1) indicates that subordinate species can reduce community biomass production, suggesting a possible explanation for why the most diverse field communities sometimes do not have the highest productivity. Result (2) suggests that if a community of S species has been derived by filtering from a pool of 2S randomly chosen species it is more productive than a community derived from a pool of S randomly chosen species without filtering

Where Are the Newly Diagnosed HIV Positives in Kenya? Time to Consider Geo-Spatially Guided Targeting at a Finer Scale to Reach the “First 90”

Background: The UNAIDS 90-90-90 Fast-Track targets provide a framework for assessing coverage of HIV testing services (HTS) and awareness of HIV status – the “first 90.” In Kenya, the bulk of HIV testing targets are aligned to the five highest HIV-burden counties. However, we do not know if most of the new HIV diagnoses are in these five highest-burden counties or elsewhere. Methods: We analyzed facility-level HTS data in Kenya from 1 October 2015 to 30 September 2016 to assess the spatial distribution of newly diagnosed HIV-positives. We used the Moran's Index (Moran's I) to assess global and local spatial auto-correlation of newly diagnosed HIV-positive tests and Kulldorff spatial scan statistics to detect hotspots of newly diagnosed HIV-positive tests. For aggregated data, we used Kruskal-Wallis equality-of-populations non-parametric rank test to compare absolute numbers across classes. Results: Out of 4,021 HTS sites, 3,969 (98.7%) had geocodes available. Most facilities (3,034, 76.4%), were not spatially autocorrelated for the number of newly diagnosed HIV-positives. For the rest, clustering occurred as follows; 438 (11.0%) were HH, 66 (1.7%) HL, 275 (6.9%) LH, and 156 (3.9%) LL. Of the HH sites, 301 (68.7%) were in high HIV-burden counties. Over half of 123 clusters with a significantly high number of newly diagnosed HIV-infected persons, 73(59.3%) were not in the five highest HIV-burden counties. Clusters with a high number of newly diagnosed persons had twice the number of positives per 1,000,000 tests than clusters with lower numbers (29,856 vs. 14,172). Conclusions: Although high HIV-burden counties contain clusters of sites with a high number of newly diagnosed HIV-infected persons, we detected many such clusters in low-burden counties as well. To expand HTS where most needed and reach the “first 90” targets, geospatial analyses and mapping make it easier to identify and describe localized epidemic patterns in a spatially dispersed epidemic like Kenya's, and consequently, reorient and prioritize HTS strategies.publishedVersio

Implementing SLMTA in the Kenya National Blood Transfusion Service: lessons learned

Background: The Kenya National Blood Transfusion Service (KNBTS) is mandated to provide safe and sufficient blood and blood components for the country. In 2013, the KNBTS National Testing Laboratory and the six regional blood transfusion centres were enrolled in the Strengthening Laboratory Management Toward Accreditation (SLMTA) programme. The process was supported by Global Communities with funding from the United States Centers for Disease Control and Prevention. Methods: The SLMTA implementation at KNBTS followed the standard three-workshop series, on-site mentorships and audits. Baseline, midterm and exit audits were conducted at the seven facilities, using a standard checklist to measure progress. Given that SLMTA was designed for clinical and public health laboratories, key stakeholders, guided by Global Communities, tailored SLMTA materials to address blood transfusion services, and oriented trainers, auditors and mentors on the same. Results: The seven facilities moved from an average of zero stars at baseline to an average of three stars at the exit audit. The average baseline audit score was 38% (97 points), midterm 71% (183 points) and exit audit 79% (205 points). The Occurrence Management and Process Improvement quality system essential had the largest improvement (at 67 percentage points), from baseline to exit, whereas Facilities and Safety had the smallest improvement (at 31 percentage points). Conclusion: SLMTA can be an effective tool for preparing a blood transfusion service for accreditation. Key success factors included customising SLMTA to blood transfusion activities; sensitising trainers, mentors and auditors on operations of blood transfusion service; creating SLMTA champions in key departments; and integrating other blood transfusion-specific accreditation standards into SLMTA

Whole Genome In-Silico Analysis of South African G1P[8] Rotavirus Strains before and after Vaccine Introduction over a Period of 14 Years

Rotavirus G1P[8] strains account for more than half of the group A rotavirus (RVA) infections in children under five years of age, globally. A total of 103 stool samples previously characterized as G1P[8] and collected seven years before and seven years after introducing the Rotarix® vaccine in South Africa were processed for whole-genome sequencing. All the strains analyzed had a Wa-like constellation (G1-P[8]-I1-R1-C1-M1-A1-N1-T1-E1-H1). South African pre- and post-vaccine G1 strains were clustered in G1 lineage-I and II while the majority (84.2%) of the P[8] strains were grouped in P[8] lineage-III. Several amino acid sites across ten gene segments with the exception of VP7 were under positive selective pressure. Except for the N147D substitution in the antigenic site of eight post-vaccine G1 strains when compared to both Rotarix® and pre-vaccine strains, most of the amino acid substitutions in the antigenic regions of post-vaccine G1P[8] strains were already present during the pre-vaccine period. Therefore, Rotarix® did not appear to have an impact on the amino acid differences in the antigenic regions of South African post-vaccine G1P[8] strains. However, continued whole-genome surveillance of RVA strains to decipher genetic changes in the post-vaccine period remains imperative

Effectiveness of the baby‐friendly community initiative on exclusive breastfeeding in Kenya

The baby‐friendly hospital initiative (BFHI) promotes exclusive breastfeeding (EBF) in hospitals, but this is not accessible in rural settings where mothers give birth at home, hence the need for a community intervention. We tested the effectiveness of the baby‐friendly community initiative (BFCI) on EBF in rural Kenya. This cluster randomized study was conducted in 13 community units in Koibatek sub‐county. Pregnant women aged 15–49 years were recruited and followed up until their children were 6 months old. Mothers in the intervention group received standard maternal, infant and young child nutrition counselling, support from trained community health volunteers, health professionals and community and mother support groups, whereas those in the control group received standard counselling only. Data on breastfeeding practices were collected longitudinally. The probability of EBF up to 6 months of age and the restricted mean survival time difference were estimated. A total of 823 (intervention group n = 351) pregnant women were recruited. Compared with children in the control group, children in the intervention group were more likely to exclusively breastfeed for 6 months (79.2% vs. 54.5%; P < .05). Children in the intervention group were also exclusively breastfed for a longer time, mean difference (95% confidence interval [CI]) 0.62 months (0.38, 0.85; P < .001). The BFCI implemented within the existing health system and including community and mother support groups led to a significant increase in EBF in a rural Kenyan setting. This intervention has the potential to improve EBF rates in similar settings

Evolutionary changes between pre- and post- vaccine South African group A G2P[4] rotavirus strains, 2003-2017

The transient upsurge of G2P[4] group A rotavirus (RVA) after Rotarix vaccine introduction in several countries has been a matter of concern. To gain insight into the diversity and evolution of G2P[4] strains in South Africa pre- and post-RVA vaccination introduction, whole-genome sequencing was performed for RVA positive faecal specimens collected between 2003 and 2017 and samples previously sequenced were obtained from GenBank (n=103; 56 pre- and 47 post-vaccine). Pre-vaccine G2 sequences predominantly clustered within sub-lineage IVa-1. In contrast, post-vaccine G2 sequences clustered mainly within sub-lineage IVa-3, whereby a radical amino acid (AA) substitution, S15F, was observed between the two sub-lineages. Pre-vaccine P[4] sequences predominantly segregated within sub-lineage IVa while post-vaccine sequences clustered mostly within sub-lineage IVb, with a radical AA substitution R162G. Both S15F and R162G occurred outside recognised antigenic sites. The AA residue at position 15 is found within the signal sequence domain of Viral Protein 7 (VP7) involved in translocation of VP7 into endoplasmic reticulum during infection process. The 162 AA residue lies within the hemagglutination domain of Viral Protein 4 (VP4) engaged in interaction with sialic acid-containing structure during attachment to the target cell. Free energy change analysis on VP7 indicated accumulation of stable point mutations in both antigenic and non-antigenic regions. The segregation of South African G2P[4] strains into pre- and post-vaccination sub-lineages is likely due to erstwhile hypothesized stepwise lineage/sub-lineage evolution of G2P[4] strains rather than RVA vaccine introduction. Our findings reinforce the need for continuous whole-genome RVA surveillance and investigation of contribution of AA substitutions in understanding the dynamic G2P[4] epidemiology

Comprehensive transcriptome of the maize stalk borer, Busseola fusca, from multiple tissue types, developmental stages, and parasitoid wasp exposures

International audienc