by
Richard K Mugambe;
Jane S Mselle;
Tony Ssekamatte;
Moses Ntanda;
John B Isunju;
Solomon T Wafula;
Winnifred K Kansiime;
Prossy Isubikalu;
David Ssemwanga;
Habib Yakubu;
Christine Moe
Background: Hand hygiene (HH) among healthcare workers (HCWs) is critical for infection prevention and control (IPC) in healthcare facilities (HCFs). Nonetheless, it remains a challenge in HCFs, largely due to lack of high-impact and efficacious interventions. Environmental cues and mobile phone health messaging (mhealth) have the potential to improve HH compliance among HCWs, however, these remain under-studied. Our study will determine the impact of mhealth hygiene messages and environmental cues on HH practice among HCWs in the Greater Kampala Metropolitan Area (GKMA). Methods: The study is a cluster-randomized trial, which will be guided by the behaviour centred design model and theory for behaviour change. During the formative phase, we shall conduct 30 key informants’ interviews and 30 semi-structured interviews to explore the barriers and facilitators to HCWs’ HH practice. Besides, observations of HH facilities in 100 HCFs will be conducted. Findings from the formative phase will guide the intervention design during a stakeholders’ insight workshop. The intervention will be implemented for a period of 4 months in 30 HCFs, with a sample of 450 HCWs who work in maternity and children’s wards. HCFs in the control arm will receive innovatively designed HH facilities and supplies. HCWs in the intervention arm, in addition to the HH facilities and supplies, will receive environmental cues and mhealth messages. The main outcome will be the proportion of utilized HH opportunities out of the 9000 HH opportunities to be observed. The secondary outcome will be E. coli concentration levels in 100mls of hand rinsates from HCWs, an indicator of recent fecal contamination and HH failure. We shall run multivariable logistic regression under the generalized estimating equations (GEE) framework to account for the dependence of HH on the intervention. Discussion: The study will provide critical findings on barriers and facilitators to HH practice among HCWs, and the impact of environmental cues and mhealth messages on HCWs’ HH practice. Trial registration: ISRCTN Registry with number ISRCTN98148144. The trial was registered on 23/11/2020.
by
Chrispin Chaguza;
Madikay Senghore;
Ebrima Bojang;
Stephanie W Lo;
Chinelo Ebruke;
Rebecca A Gladstone;
Peggy-Estelle Tientcheu;
Rowan E Bancroft;
Archibald Worwui;
Ebenezer Foster-Nyarko;
Fatima Ceesay;
Catherine Okoi;
Lesley McGee;
Keith Klugman;
Robert Breiman;
Michael R Barer;
Richard A Adegbola;
Martin Antonio;
Stephen D Bentley;
Brenda A Kwambana-Adams
Streptococcus pneumoniae (the pneumococcus) carriage precedes invasive disease and influences population-wide strain dynamics, but limited data exist on temporal carriage patterns of serotypes due to the prohibitive costs of longitudinal studies. Here, we report carriage prevalence, clearance and acquisition rates of pneumococcal serotypes sampled from newborn infants bi-weekly from weeks 1 to 27, and then bi-monthly from weeks 35 to 52 in the Gambia. We used sweep latex agglutination and whole genome sequencing to serotype the isolates. We show rapid pneumococcal acquisition with nearly 31% of the infants colonized by the end of first week after birth and quickly exceeding 95% after 2 months. Co-colonization with multiple serotypes was consistently observed in over 40% of the infants at each sampling point during the first year of life. Overall, the mean acquisition time and carriage duration regardless of serotype was 38 and 24 days, respectively, but varied considerably between serotypes comparable to observations from other regions. Our data will inform disease prevention and control measures including providing baseline data for parameterising infectious disease mathematical models including those assessing the impact of clinical interventions such as pneumococcal conjugate vaccines.
Enteric fever is a severe systemic infection caused by Salmonella enterica serovar Typhi (ST) and Salmonella enterica serovar Paratyphi A (SPA). Detection of ST and SPA in wastewater can be used as a surveillance strategy to determine burden of infection and identify priority areas for water, sanitation, and hygiene interventions and vaccination campaigns. However, sensitive and specific detection of ST and SPA in environmental samples has been challenging. In this study, we developed and validated two methods for concentrating and detecting ST/SPA from wastewater: the Moore swab trap method for qualitative results, and ultrafiltration (UF) for sensitive quantitative detection, coupled with qPCR. We then applied these methods for ST and SPA wastewater surveillance in Kolkata, India and Dhaka, Bangladesh, two enteric fever endemic areas. The qPCR assays had a limit of detection of 17 equivalent genome copies (EGC) for ST and 25 EGC for SPA with good reproducibility. In seeded trials, the Moore swab method had a limit of detection of approximately 0.05–0.005 cfu/mL for both ST and SPA. In 53 Moore swab samples collected from three Kolkata pumping stations between September 2019 and March 2020, ST was detected in 69.8% and SPA was detected in 20.8%. Analysis of sewage samples seeded with known amount of ST and SPA and concentrated via the UF method, followed by polyethylene glycol precipitation and qPCR detection demonstrated that UF can effectively recover approximately 8, 5, and 3 log10 cfu of seeded ST and SPA in 5, 10, and 20 L of wastewater. Using the UF method in Dhaka, ST was detected in 26.7% (8/30) of 20 L drain samples with a range of 0.11–2.10 log10 EGC per 100 mL and 100% (4/4) of 20 L canal samples with a range of 1.02–2.02 log10 EGC per 100 mL. These results indicate that the Moore swab and UF methods provide sensitive presence/absence and quantitative detection of ST/SPA in wastewater samples.
by
Richard K Mugambe;
Tonny Ssekamatte;
Stevens Kisaka;
Solomon T Wafula;
John Bosco Isunju;
Aisha Nalugya;
Patience Oputan;
Douglas Kizito Makanga;
Michael Mukiibi;
Esther Buregyeya;
Simon Kasasa;
Winnifred K Kansiime;
Julie Balen;
Renuka Kapoor;
Joanne McGriff
Background Despite the development and enforcement of preventive guidelines by governments, COVID-19 continues to spread across nations, causing unprecedented economic losses and mortality. Public places remain hotspots for COVID-19 transmission due to large numbers of people present; however preventive measures are poorly enforced. Supermarkets are among the high-risk establishments due to the high interactions involved, which makes compliance with the COVID-19 preventive guidelines of paramount importance. However, until now, there has been limited evidence on compliance with the set COVID-19 prevention guidelines. Therefore, this study aimed to measure compliance with the COVID-19 prevention guidelines among supermarkets in Kampala Capital City and Mukono Municipality Uganda. Methods A cross-sectional study was conducted among selected supermarkets in Kampala Capital City and Mukono Municipality in September 2020. A total of 229 supermarkets (195 in Kampala City and 34 in Mukono Municipality) were randomly selected for the study. Data were collected through structured observations on the status of compliance with COVID-19 prevention guidelines, and entered using the KoboCollect software, which was preinstalled on mobile devices (smart phones and tablets). Descriptive statistics were generated to measure compliance to the set COVID-19 Ministry of Health prevention guidelines using Stata 14 software. Results Only 16.6% (38/229) of the supermarkets complied with the COVID-19 prevention and control guidelines. In line with the specific measures, almost all supermarkets 95.2% (218/229) had hand washing facilities placed at strategic points such as the entrance, and 59.8% (137/229) of the supermarkets surveyed regularly disinfected commonly touched surfaces. Only 40.6% and 30.6% of the supermarkets enforced mandatory hand washing and use of face masks respectively for all customers accessing the premises. Slightly more than half, 52.4% (120/229) of the supermarkets had someone or a team in charge of enforcing compliance to COVID-19 measures and more than half, 55.5% (127/229) of the supermarkets had not provided their staff with job-specific training/mentorship on infection prevention and control for COVID-19. Less than a third, 26.2% (60/229) of the supermarkets had an infrared temperature gun for screening every customer, and only 5.7% (13/229) of the supermarkets captured details of clients accessing the supermarket as a measure to ease follow-up. Conclusion This study revealed low compliance with COVID-19 guidelines, which required mandatory preventive measures such as face masking, regular disinfection, social distancing, and hand hygiene. This study suggests the need for health authorities to strengthen enforcement of these guidelines, and to sensitise the supermarket managers on COVID-19 in order to increase the uptake of the different measures.
by
Yuke Wang;
Wolfgang Mairinger;
Suraja J. Raj;
Habib Yakubu;
Casey Siesel;
Jamie Green;
Sarah Durry;
George Joseph;
Mahbubur Rahman;
Nuhu Amin;
Md. Zahidul Hassan;
James Wicken;
Dany Dourng;
Eugene Larbi;
Lady Asantewa B. Adomako;
Ato Kwamena Senayah;
Benjamin Doe;
Richard Buamah;
Joshua Nii Noye Tetteh-Nortey;
Gagandeep Kang;
Arun Karthikeyan;
Sheela Roy;
Joe Brown;
Bacelar Muneme;
Seydina O. Sene;
Benedict Tuffuor;
Richard K. Mugambe;
Najib Lukooya Bateganya;
Trevor Surridge;
Grace Mwanza Ndashe;
Kunda Ndashe;
Radu Ban;
Alyse Schrecongost;
Christine Moe
Background
During 2014 to 2019, the SaniPath Exposure Assessment Tool, a standardized set of methods to evaluate risk of exposure to fecal contamination in the urban environment through multiple exposure pathways, was deployed in 45 neighborhoods in ten cities, including Accra and Kumasi, Ghana; Vellore, India; Maputo, Mozambique; Siem Reap, Cambodia; Atlanta, United States; Dhaka, Bangladesh; Lusaka, Zambia; Kampala, Uganda; Dakar, Senegal.
Objective
Assess and compare risk of exposure to fecal contamination via multiple pathways in ten cities.
Methods
In total, 4053 environmental samples, 4586 household surveys, 128 community surveys, and 124 school surveys were collected. E. coli concentrations were measured in environmental samples as an indicator of fecal contamination magnitude. Bayesian methods were used to estimate the distributions of fecal contamination concentration and contact frequency. Exposure to fecal contamination was estimated by the Monte Carlo method. The contamination levels of ten environmental compartments, frequency of contact with those compartments for adults and children, and estimated exposure to fecal contamination through any of the surveyed environmental pathways were compared across cities and neighborhoods.
Results
Distribution of fecal contamination in the environment and human contact behavior varied by city. Universally, food pathways were the most common dominant route of exposure to fecal contamination across cities in low-income and lower-middle-income countries. Risks of fecal exposure via water pathways, such as open drains, flood water, and municipal drinking water, were site-specific and often limited to smaller geographic areas (i.e., neighborhoods) instead of larger areas (i.e., cities).
Conclusions
Knowledge of the relative contribution to fecal exposure from multiple pathways, and the environmental contamination level and frequency of contact for those “dominant pathways” could provide guidance for Water, Sanitation, and Hygiene (WASH) programming and investments and enable local governments and municipalities to improve intervention strategies to reduce the risk of exposure to fecal contamination.
Background and aims:
Apolipoprotein B (apoB) integrates and extends the information from the conventional measures of atherogenic cholesterol and triglyceride. To illustrate how apoB could simplify and improve the management of dyslipoproteinemia, we compared conventional lipid markers and apoB in a sample of Americans and Asian Indians.
Methods:
Data from the US National Health and Nutrition Examination Survey (NHANES) (11,778 participants, 2009–2010, 2011–2012), and the Centre for Cardiometabolic Risk Reduction in South Asia (CARRS) cohort study in Delhi, India (4244 participants), 2011 were evaluated. We compared means and distributions of plasma lipids, and apo B using the Mann–Whitney U test and Fisher’s exact test. A p value of < 0.05 was considered significant.
Results:
The plasma lipid profile differed between Asian Indians and Americans. Plasma triglycerides were greater, but HDL-C lower in Asian Indians than in Americans. By contrast, total cholesterol, non-HDL-C, and LDL-C were all significantly higher in Americans than Asian Indians. However, apoB was significantly higher in Asian Indians than Americans. The LDL-C/apoB ratio and the non-HDL-C/apoB ratio were both significantly lower in Asian Indians than Americans.
Conclusion:
Whether Americans or Asian Indians are at higher risk from apoB lipoproteins cannot be determined based on their lipid levels because the information from lipids cannot be integrated. ApoB, however, integrates and extends the information from triglycerides and cholesterol. Replacing the conventional lipid panel with apoB for routine follow ups could simultaneously simplify and improve clinical care.