Publications by authors named "David Brett-Major"

: Praziquantel is a cornerstone of schistosomiasis control and elimination efforts. Continued surveillance of praziquantel efficacy is needed to monitor for the development of resistance, as well as to help public health officials gauge the effect of mass praziquantel administration on schistosomiasis control in communities, since it is the only drug used in schistosomiasis control programs. The objective of this study was to assess the praziquantel cure rate and egg reduction rate against urogenital schistosomiasis.

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A lack of infection prevention and control protections for essential industries in the United States led to increased risk and incidence of COVID-19 among essential workers during the COVID-19 pandemic. When the nation deems an industry essential during a disease outbreak, an ethical obligation exists to safeguard the health of workers who are at increased risk of being exposed to disease. The Global Center for Health Security at the University of Nebraska Medical Center began work to rapidly develop and disseminate infection prevention and control guidance for essential industries, such as meat processing.

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This case study describes a feasibility assessment of a novel isolation care tent used in health facilities in Uganda during the 2022 outbreak. The Isolation System for Treatment and Agile Response to High-Risk Infections Model 1B (ISTARI 1B) is a single-occupancy, portable, negative-pressure isolation tent designed for the safe delivery of standard care to patients with a communicable disease, including Ebola disease (Sudan). At the request of the Uganda Ministry of Health, the Makerere University Infectious Diseases Institute and University of Nebraska Medical Center partnered to evaluate 7 health facilities across 4 districts in Uganda for infrastructure, case management, and infection prevention and control (IPC) capacity relevant to isolation care and ISTARI 1B use.

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Article Synopsis
  • The study tracks changes in patient characteristics and medical care for those hospitalized with severe acute respiratory infections during different COVID-19 pandemic phases in the U.S.
  • It involves a longitudinal cohort study of 874 patients across multiple hospitals, focusing on demographics, health conditions, and treatment outcomes corresponding to different SARS-CoV-2 variants.
  • The findings highlight the evolution of patient outcomes and emphasize the need for a continuous clinical network to better understand both known and new respiratory viral diseases.
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Introduction: Health systems including mental health (MH) systems are resilient if they protect human life and produce better health outcomes for all during disease outbreaks or epidemics like Ebola disease and their aftermaths. We explored the resilience of MH services amidst Ebola disease outbreaks in Africa; specifically, to (i) describe the pre-, during-, and post-Ebola disease outbreak MH systems in African countries that have experienced Ebola disease outbreaks, (ii) determine the prevalence of three high burden MH disorders and how those prevalences interact with Ebola disease outbreaks, and, (iii) describe the resilience of MH systems in the context of these outbreaks.

Methods: This was a scoping review employing an adapted PRISMA statement.

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Article Synopsis
  • Urine filtration microscopy (UFM) is not very sensitive for detecting low-intensity infections, prompting a study to test FlukeCatcher microscopy (FCM) as an alternative for finding eggs in urine samples.
  • Samples from 572 children in Afar, Ethiopia, were analyzed using both UFM and FCM, revealing that FCM had higher sensitivity (84%) and negative predictive value (97%) than UFM (65% sensitivity, 93% negative predictive value).
  • While FCM shows promise for better diagnosis by detecting infections more reliably, it produces lower average egg counts (6.6 eggs/10 mL) than UFM (14.7 eggs/10 mL), indicating it might not effectively
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Background: Leptospirosis is a disease transmitted from animals to humans through water, soil, or food contaminated with the urine of infected animals, caused by pathogenic Leptospira species. Antibiotics are commonly prescribed for the management of leptospirosis. Despite the widespread use of antibiotic treatment for leptospirosis, there seems to be insufficient evidence to determine its effectiveness or to recommend antibiotic use as a standard practice.

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Background: Leptospirosis is a global zoonotic and waterborne disease caused by pathogenic Leptospira species. Antibiotics are used as a strategy for prevention of leptospirosis, in particular in travellers and high-risk groups. However, the clinical benefits are unknown, especially when considering possible treatment-associated adverse effects.

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Article Synopsis
  • The text serves as a correction for a previously published article, identified by the DOI 10.1371/journal.pmed.1003793.
  • It indicates that there were errors or inaccuracies in the original publication that needed to be addressed.
  • The correction ensures the integrity and accuracy of the scientific record for readers and researchers.
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Nigeria struggles with seasonal outbreaks of Lassa fever (LF), with 70 to 100% of its states affected annually. Since 2018, the seasonal dynamics have changed with a stark increase in infections, though the pattern in 2021 differed from the other years. Nigeria had three outbreaks of Lassa Fever in 2021.

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Introduction: Population factors such as urbanization, socio-economic, and environmental factors are driving forces for emerging/re-emerging zoonotic diseases in Cameroon. To inform preparedness and prioritization efforts, this study mapped out epidemiological data (including prevalence) of zoonotic diseases occurring in Cameroon between 2000 and 2022 by demographic factors.

Methods: Following the PRISMA guidelines, a protocol was registered in the PROSPERO database (CRD42022333059).

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Objectives: The COVID-19 pandemic threatened standard hospital operations. We sought to understand how this stress was perceived and manifested within individual hospitals and in relation to local viral activity.

Design: Prospective weekly hospital stress survey, November 2020-June 2022.

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Communicating public health guidance is key to mitigating risk during disasters and outbreaks, and ethical guidance on communication emphasizes being fully transparent. Yet, communication during the pandemic has sometimes been fraught, due in part to practical and conceptual challenges around being transparent. A particular challenge has arisen when there was both evolving scientific knowledge on COVID-19 and reticence to acknowledge that resource scarcity concerns were influencing public health recommendations.

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Unlabelled: Vascular dysfunction and capillary leak are common in critically ill COVID-19 patients, but identification of endothelial pathways involved in COVID-19 pathogenesis has been limited. Angiopoietin-like 4 (ANGPTL4) is a protein secreted in response to hypoxic and nutrient-poor conditions that has a variety of biological effects including vascular injury and capillary leak.

Objectives: To assess the role of ANGPTL4 in COVID-19-related outcomes.

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Unlabelled: Respiratory virus infections cause significant morbidity and mortality ranging from mild uncomplicated acute respiratory illness to severe complications, such as acute respiratory distress syndrome, multiple organ failure, and death during epidemics and pandemics. We present a protocol to systematically study patients with severe acute respiratory infection (SARI), including severe acute respiratory syndrome coronavirus 2, due to respiratory viral pathogens to evaluate the natural history, prognostic biomarkers, and characteristics, including hospital stress, associated with clinical outcomes and severity.

Design: Prospective cohort study.

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Our study assesses whether factors related to healthcare access in the first year of the pandemic affect mortality and length of stay (LOS). Our cohort study examined hospitalized patients at Nebraska Medicine between April and October 2020 who were tested for SARS-CoV-2 and had a charted sepsis related diagnostic code. Multivariate logistic was used to analyze the odds of mortality and linear regression was used to calculate the parameter estimates of LOS associated with COVID-19 status, age, gender, race/ethnicity, median household income, admission month, and residential distance from definitive care.

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Objectives: During June-July 2021, an outbreak of SARS-CoV-2 occurred among attendees of a summer youth camp in Nebraska. We assessed the factors that contributed to onward transmission of disease.

Methods: The Four Corners Health Department conducted an outbreak investigation and recorded both laboratory-confirmed and self-reported cases of SARS-CoV-2 and mitigation measures employed.

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With the recent COVID-19 pandemic, the importance of vaccine development, distribution, and uptake has come to the forefront of the public eye. Effectively fielding vaccines during an emergency-whether that emergency is a result of an infectious disease or not-requires an understanding of usual vaccine-related processes; the impact of outbreak, complex emergencies, mass gatherings, and other events on patients, communities, and health systems; and ways in which diverse resources can be applied to successfully achieve needed vaccine uptake. In this review, both the emergency setting and briefly vaccine product design are discussed in these contexts in order to provide a concise source of general knowledge from experts in fielding vaccines that can aid in future vaccine ventures and increase general awareness of the process and barriers in various settings.

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This systematic review and meta-analysis synthesized the evidence on the impacts of demographics and comorbidities on the clinical outcomes of COVID-19, as well as the sources of the heterogeneity and publication bias of the relevant studies. Two authors independently searched the literature from PubMed, Embase, Cochrane library, and CINAHL on 18 May 2021; removed duplicates; screened the titles, abstracts, and full texts by using criteria; and extracted data from the eligible articles. The variations among the studies were examined by using Cochrane, Q.

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Vaccines against coronavirus disease 2019 (COVID-19) first became available in the United States and Europe outside clinical trials in December 2020, when administration began in high-priority populations such as healthcare workers and long-term care residents. [1] Since that time, global rollout progresses with wide variation in vaccination rates by country. [2] Depending upon product and SARS-CoV-2 variant, vaccine efficacies against infection range from approximately 70 to well over 90%, higher against severe disease.

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Background: The importance of infectious disease epidemic forecasting and prediction research is underscored by decades of communicable disease outbreaks, including COVID-19. Unlike other fields of medical research, such as clinical trials and systematic reviews, no reporting guidelines exist for reporting epidemic forecasting and prediction research despite their utility. We therefore developed the EPIFORGE checklist, a guideline for standardized reporting of epidemic forecasting research.

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Importance: Scalable programs for school-based SARS-CoV-2 testing and surveillance are needed to guide in-person learning practices and inform risk assessments in kindergarten through 12th grade settings.

Objectives: To characterize SARS-CoV-2 infections in staff and students in an urban public school setting and evaluate test-based strategies to support ongoing risk assessment and mitigation for kindergarten through 12th grade in-person learning.

Design, Setting, And Participants: This pilot quality improvement program engaged 3 schools in Omaha, Nebraska, for weekly saliva polymerase chain reaction testing of staff and students participating in in-person learning over a 5-week period from November 9 to December 11, 2020.

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In the light of the urgency raised by the COVID-19 pandemic, global investment in wildlife virology is likely to increase, and new surveillance programmes will identify hundreds of novel viruses that might someday pose a threat to humans. To support the extensive task of laboratory characterization, scientists may increasingly rely on data-driven rubrics or machine learning models that learn from known zoonoses to identify which animal pathogens could someday pose a threat to global health. We synthesize the findings of an interdisciplinary workshop on zoonotic risk technologies to answer the following questions.

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Health events emerge from host, community, environment, and pathogen factors-forecasting epidemics is a complex task. We describe an exploratory analysis to identify economic risk factors that could aid epidemic risk assessment. A line list was constructed using the World Health Organization Disease Outbreak News (2016-2018) and economic indicators from the World Bank.

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