Publications by authors named "Were J"

Background: Comorbid overweight/obesity (OWO) and depression is emerging as a public health problem among adolescents. Income inequality is a structural determinant of health that independently increases the risk for both OWO and depression among youth. However, no study has examined the association between income inequality and comorbid OWO and depression or tested potential mechanisms involved.

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We examined rural and urban prevalence and correlates of overweight/obesity among women of reproductive age using survey data from Nigeria. Overweight and obesity prevalence increased from 16.1% and 6.

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Background: Significant milestones have been made in the development of COVID19 diagnostics Technologies. Government of the republic of Uganda and the line Ministry of Health mandated Uganda Virus Research Institute to ensure quality of COVID19 diagnostics. Re-testing was one of the methods initiated by the UVRI to implement External Quality assessment of COVID19 molecular diagnostics.

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To describe RDS in neonatal deaths at the CHAMPS-Kenya site between 2017 and 2021. We included 165 neonatal deaths whose their Causes of death (COD) were determined by a panel of experts using data from post-mortem conducted through minimally invasive tissue specimen testing, clinical records, and verbal autopsy. Twenty-six percent (43/165) of neonatal deaths were attributable to RDS.

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Objectives: Determine the prevaccination healthcare impact of COVID-19 in patients with systemic lupus erythematosus (SLE) in England.

Design: Retrospective cohort study of adult patients with SLE from 1 May to 31 October 2020.

Setting: Clinical Practice Research Datalink (CPRD) Aurum and Hospital Episode Statistics (HES) databases from general practitioners across England combining primary care and other health-related data.

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Area-level factors may partly explain the heterogeneity in risk factors and disease distribution. Yet, there are a limited number of studies that focus on the development and validation of the area level construct and are primarily from high-income countries. The main objective of the study is to provide a methodological approach to construct and validate the area level construct, the Area Level Deprivation Index in low resource setting.

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Article Synopsis
  • * Among 97 children evaluated, only 39% showed biomarker-confirmed adherence, while 59% reported taking at least 80% of their doses; factors like viral nonsuppression and longer duration of IPT were linked to lower adherence.
  • * The urine dipstick test proved to be an effective method for assessing adherence and could be helpful in clinical settings, indicating that adherence to IPT needs improvement.
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Introduction: Postpartum hemorrhage (PPH) is a significant cause of maternal mortality worldwide, particularly in low- and middle-income countries. It is essential to develop effective prediction models to identify women at risk of PPH and implement appropriate interventions to reduce maternal morbidity and mortality. This study aims to predict the occurrence of postpartum hemorrhage using machine learning models based on antenatal, intrapartum, and postnatal visit data obtained from the Kenya Antenatal and Postnatal Care Research Collective cohort.

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Background: Active surveillance systems for monitoring vaccine safety among pregnant women address some of the limitations of a current passive surveillance approach utilized in low- and middle-income countries (LMIC). However, few active surveillance systems in LMIC exist. Our study assessed the feasibility of utilizing three existing data collection systems in Kenya for active surveillance of maternal immunization and to assess the applicability of Global Alignment of Immunization Safety Assessment in pregnancy (GAIA) case definitions that were initially developed for clinical trials within these systems.

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Background: The World Health Organization End TB Strategy emphasises screening for early diagnosis of tuberculosis (TB) in high-risk groups, including migrants. We analysed key drivers of TB yield differences in four large migrant TB screening programmes to inform TB control planning and feasibility of a European approach.

Methods: We pooled individual TB screening episode data from Italy, the Netherlands, Sweden and the UK, and analysed predictors and interactions for TB case yield using multivariable logistic regression models.

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HIV/AIDS is known to have adverse effects on individual and family socio-economic status due to the loss of productive time and over-expenditure in treatment. However, empirical data on how HIV/AIDS affects households' socio-economic status are insufficient. We linked socio-economic data from a Health and Demographic Surveillance System (HDSS) that implements an HIV/AIDS Longitudinal bio-behavioural survey (LBBS) to understand the long-term impact of HIV/AIDS on households' socio-economic status between 2010 and 2018.

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The aim of this review was to map the literature on the double burden of malnutrition (DBM) among women of reproductive age (WRA) and preschool children in low- and middle-income countries (LMICs). The study aimed to provide an understanding of how DBM construct has been defined in the current literature and to elucidate plausible mechanisms underlying DBM development and its common risk factor among the two subgroups. We systematically searched for literature from the following databases: EMBASE, CINAHL, MEDLINE, LILACS, Scopus and ProQuest Dissertations & Thesis Global and identified articles that specifically reported on the coexistence of undernutrition and overnutrition sequalae at the population, household, or individual levels among WRA and preschool children in LMICs.

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Even though several studies have examined various risk factors for hypertension, residential influence is poorly explored especially in the low-income countries. We aim to investigate the association between residential characteristics and hypertension in resource limited and transitional settings like Nepal. A total of 14,652 individuals aged 15 and above were selected from 2016-Nepal Demographic and Health Survey.

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Objectives: This study examined healthcare resource use (HCRU) for selected vaccine-preventable diseases (VPD) in secondary care in England.

Methods: The hospital episode statistics (HES) dataset covering all secondary care interactions within the English National Health Service (NHS) from 2015 to 2021 was used to identify and track HCRU for patients with a primary or secondary diagnosis for pertussis and Haemophilus influenzae type b (Hib), or a primary diagnosis only for hepatitis B, diphtheria, poliomyelitis, or tetanus. The first documented diagnosis during the study period (01/04/2015-31/03/2021) was the index event.

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The WHO End TB Strategy emphasises early diagnosis and screening of TB in high-risk groups, including migrants. We analysed TB yield data from four large migrant TB screening programmes to inform TB policy. We pooled routinely collected individual TB screening episode data from Italy, the Netherlands, Sweden and the United Kingdom under the European Union Commission E-DETECT.

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Background: Guidelines for the management of dyslipidemias recommend intensive low-density lipoprotein (LDL-C) control through lifestyle advice and lipid-lowering drugs to reduce the risk of cardiovascular disease (CVD).

Objective: This retrospective study aimed to characterize the adult primary care population with primary hypercholesterolemia (PH)/mixed dyslipidemia (MD).

Methods: Data on adults with PH/MD between 1 January 2009 and 31 December 2019 in the UK were extracted from linked primary Clinical Practice Research Datalink (CPRD) and secondary care (Hospital Episode Statistics) datasets and analyzed.

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Introduction: The majority of the populations in low-income and middle-income countries (LMICs) are encountering the double burden of malnutrition (DBM): the coexistence of both undernutrition and overnutrition sequalae. With DBM being a new phenomenon in research, little is known about its aetiology, operational definitions and risk factors influencing its manifestation. The proposed scoping review is aimed at mapping literature with regard to the DBM phenomenon among preschool children and women of reproductive age in LMICs who are among the most high-risk groups to encounter DBM.

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Objectives: Describe the causes of death among infants and children less than 5 years stratified by HIV status.

Design: Cross-sectional analysis of causes of death ascertained through minimally invasive tissue sampling (MITS) in the Kenya Child Health and Mortality Prevention Surveillance site.

Methods: We included decedents aged 28 days to less than 5 years, whose death was reported within 36 h, underwent MITS, and had HIV test results and causes of death determined.

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Background: A North-South (N-S) research collaboration is one way through which research capacity of developing countries can be strengthened. Whereas N-S collaboration in HIV/AIDS area may result in research capacity strengthening of Southern partners, it is not clear what factors are associated with this type of collaboration. The study aims to characterize N-S research collaboration focusing on HIV/AIDS and to determine factors associated with such N-S research collaborations.

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Introduction: Short message service (SMS) reminders coupled with a small monetary incentive conditioned on prompt vaccination have been shown to improve first-dose measles-containing vaccine (MCV1) uptake. We assessed whether SMS reminders and unconditional monetary incentives-more amenable to programmatic implementation-can improve MCV1 uptake in Kenya.

Methods: Caregivers of eligible infants aged 6-8 months were enrolled into an individually randomised controlled trial and assigned to receive either: no intervention (control), two SMS reminders (SMS) sent 3 days, and 1 day before the scheduled MCV1 date, or SMS reminders coupled with a Kenya Shilling (KES) 150 incentive (SMS +150 KES) sent 3 days before the scheduled MCV1 date.

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Objectives: To examine whether anti-tetanus toxoid (anti-TT) immunoglobulin G (IgG) levels measured in oral fluid and adjusted for collection difficulties and specimen quality are associated with total IgG and anti-TTIgG in oral fluid and assess if statistical adjustment for them improves prediction of anti-TT IgG in serum.

Methods: 267 children, ages 12 to 15 months, enrolled in the M-SIMU randomized controlled trial participated in this nested cross-sectional analysis. Venous blood and oral fluid (OF) specimens were collected, and OF collection difficulties such as crying or gagging were recorded.

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Background: The ongoing nutrition transition in sub-Saharan Africa (SSA) is exhibiting spatial heterogeneity and temporal variability leading to different forms of malnutrition burden across SSA, with some regions exhibiting the double burden of malnutrition. This study aimed to develop a predictive understanding of the malnutrition burden among women of child-bearing age.

Methods: Data from 34 SSA countries were acquired from the Demographic and Health Survey, World Bank, and Swiss Federal Institute of Technology.

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Background: Evaluating interventions that might lead to a reduction in tuberculosis in high-income countries with a low incidence of the disease is key to accelerate progress towards its elimination. In such countries, migrants are known to contribute a large proportion of tuberculosis cases to the burden. We assessed the effectiveness of screening for active tuberculosis before entry to the UK and for latent tuberculosis infection (LTBI) post-entry for reduction of tuberculosis in new-entrant migrants to the UK.

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Background: Globally, 21 million children do not receive the measles vaccine each year. With high levels of mobile phone access and ownership, opportunities exist to leverage mobile health technologies to generate demand for immunization.

Objective: The aim of the Mobile and Scalable Innovations for Measles Immunization trial is to determine if text message (short message service, SMS) reminders, either with or without mobile phone-based incentives, can improve measles immunization coverage and timeliness in rural western Kenya.

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Background: Sexual health (SH) services increasingly need to prioritise those at greatest risk of sexually transmitted infections (STIs). We used SH surveillance data to develop algorithms to triage individuals attending SH services within two high-risk populations: men who have sex with men (MSM) and young people (YP).

Methods: Separate multivariable logistic regression models for MSM and YP were developed using surveillance data on demographics, recent sexual history, prior STI diagnoses and drug/alcohol use from five clinics in 2015-2016 to identify factors associated with new STI diagnoses.

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