2671 research outputs found
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kevinvzandvoort/eepicc_idp_pneumosil_safety
No full textAEFI and coverage data for Pneumosil PCV campaign in Digaale
Global Retinoblastoma Service Availability Datasets, 2017 and 2024, on behalf of the Global Retinoblastoma Study Group
No full textThis dataset collection was compiled by the Global Retinoblastoma Study Group to assess worldwide availability and equity of diagnostic and treatment services for retinoblastoma (Rb), the most common paediatric eye cancer. It contains two complementary datasets: (1) 2024 dataset: Comprehensive global data on the availability of Rb diagnostic and therapeutic modalities across 438 treatment centres in 145 countries. (2) 2017 matched dataset: Proportional availability data from 246 centres in 124 countries that participated in both the 2017 and 2024 surveys, used for longitudinal comparison of service availability and income-related equity. Proportional availability refers to the share of centres within each country offering a given diagnostic or treatment modality, averaged across all countries to provide a global estimate
epiverse-trace/tutorials-late
No full textA set of tutorials for Outbreak analytics with R. It contains episodes on contact matrices, simulating transmission, choosing an appropriate model, modelling interventions, comparing public health outcomes of interventions, comparing vaccination strategies, and modelling disease burden
simulist: Simulate Disease Outbreak Line List and Contacts Data
No full textTools to simulate realistic raw case data for an epidemic in the form of line lists and contacts using a branching process. Simulated outbreaks are parameterised with epidemiological parameters and can have age-structured populations, age-stratified hospitalisation and death risk and time-varying case fatality risk
Rapid bacterial identification and resistance detection using a low complexity molecular diagnostic platform in Zimbabwe - Study dataset and codebook
No full textBACKGROUND: Sepsis is a major cause of mortality in low-resource settings. Effective microbiological culture services are a bottleneck in diagnosis and surveillance. AIM: We aimed to evaluate the performance of the BIOFIRE FILMARRAY Blood Culture Identification 2 (BCID2, bioMérieux) assay in a low-resource setting laboratory in comparison to standard practice. METHODS: This five month prospective validation study included all positive blood cultures collected at Sally Mugabe Central Hospital, Harare, Zimbabwe. BCID2 testing was done in parallel to standard phenotypic procedures and resistance testing. Reference identification was performed using mass spectrometry or whole genome sequencing. Only samples with available reference standard results were included in the analysis. Data captured on paper-based forms was entered into electronic case report forms (ODK Collect). Specificity and sensitivity for BCID2 were calculated in comparison to the reference standards, with performance measures calculated using the Wilson score. Biomedical scientists using BCID2 completed a system usability survey (SUS). RESULTS: Positive results were recorded in 780/2,023 (38.5%) blood cultures, within which 377 (48.3%) had reference results and so were included in analysis. Neonatal samples were most frequent (182, 48.3%), then paediatric (150, 39.8%), then adults (18, 4.8%) and unknown (27, 7.2%). Specificity exceeded 95% throughout. Sensitivity ranged from 50% ( A. calcoaceticus-baumanii complex, Proteus spp.) to 100% ( S. pneumoniae , Salmonella spp). Using BCID2, CTX-M was detected in 111/175 (74.5%) Enterobacterales, from which 5/111 also had NDM and VIM detected. NDM-5 was detected in 2/5 NDM samples using sequencing. In total 3/23 S. aureus isolates were methicillin resistant, from which one was confirmed using phenotypic antimicrobial susceptibility testing. Usability was good (SUS score = 79.5). CONCLUSION: Rapid molecular tests have potential to improve turn-around time and quality of sepsis diagnostics. However, specific work-flows are critical to supplement molecular tests with minimal phenotypic tests for optimal clinical decision-making
Every Newborn Measurement Improvement for Newborn and Stillbirths Indicators (EN-MINI) Tools, Tanzania, 2021
No full textThe purpose of the Every Newborn-Measurement Improvement for Newborn and Stillbirth Indicators (EN-MINI) tools for Routine Health Information Systems (RHIS) is to enable countries to have the right data at the right time and at the right level of the healthcare system. The EN-MINI Tools are free and have ready-to-use digital data collection platforms and generate automated reports. The EN-MINI Tools are intended to identify gaps in newborn and stillbirth RHIS data availability, quality, and use. The tools are organized in three categories: (1) MAP newborn data availability, (2) assess USE of newborn data for decisions, and (3) identify how to IMPROVE newborn data quality. The USE and IMPROVE tools (Tools 1-6) are adapted from the MEASURE Evaluation Performance of Routine Information System Management (PRISM) series. The EN-MINI-PRISM Tools pilot study was conducted in October 2021 at all levels of health facilities in the Tanga Region of the United Republic of Tanzania providing inpatient newborn health services to maximize learning for possible future scale-up nationally and beyond. Two districts in Tanga Region, Pangani District Council and Tanga City Councils, were selected. (2021-11-30
(MaCoCo) Livelihoods dataset
No full textFive experienced research assistants with a Master of Science in Social Science, fluent in English, Ndebele, and Shona conducted a household survey through interviews, key informant interviews (KIIs), and focus group discussions (FGDs). All research assistants attended a two-day orientation training session on the study objectives and expected outcomes. Prior to their use, all the study tools were piloted in similar urban settings. After piloting, the tools were appropriately revised to ensure their alignment with the pilot feedback and the research objectives.
To assess the impact of COVID-19 on households, we conducted 20 household interviews in Harare and Bulawayo with equal representation of the three aforementioned economic strata. Household heads were interviewed to determine their socioeconomic characteristics. A topic guide was developed to explore the experiences of households during the COVID-19 pandemic, focusing on their perceptions of control measures, livelihoods, and access to social services such as health and education. Additionally, the guides asked about their coping strategies during the pandemic.
To gain a broader community perspective, we conducted four FGDs with community members: two in Harare with 9 and 10 participants, and two in Bulawayo with 11 and 13 participants, respectively. Each FGD lasted between 2 two three hours, including a plenary discussion. The discussions were conducted in an open space while observing COVID-19 rules and regulations. Initially, using an FGD guide, all groups of participants were asked to discuss the following topics: the COVID-19 pandemic evolution in the country, policy implementation, livelihood experiences, and how they felt about pandemic management, in breakout groups of to 3-4 people for 60 minutes, guided by a research assistant. The summary of the breakout discussions were presented to a larger group to allow for corroboration.
To understand the broader vulnerability context and transformative structures and processes, a total of 18 purposive in-depth KIIs in person or on Zoom lasting on average 1h were conducted with stakeholders, including community-based organizations (CBOs) (n=5), city health managers (n=5 from Harare City Health and n=3 from Bulawayo City Health), as well as national program managers and policymakers (n=5). The KIIs questions aimed to gather informants’ experiences and perspectives on COVID-19 and its control measures. They also explored issues related to access to health services and treatment during the pandemic, including policy formulation and implementation
Low Traffic Neighbourhoods in London reduce road traffic injuries: a controlled before-and-after analysis (2012-2024)
No full textDataset of each road link (toid) in Greater London indicating for each quarter of each year, the road classification, whether the road link was inside an LTN, on a boundary road and counts of road traffic injuries separated by road user and all injuries/killed or seriously injured. Codebook accompanies this dataset
Additional file 2 of A genome-wide One Health study of Klebsiella pneumoniae in Norway reveals overlapping populations but few recent transmission events across reservoirs
No full textDataset containing genotyping results and QC (table S1), Source-overlap by sublineage (table S2), BactDating results (table S3), Genomes included in BactDating analyses (table S4), Chi-squared tests of AMR presence by niche (table S5), GWAS results (table S6), Binomial tests of SLs, KLs and OLs by human vs non-human sources (table S7), and Genome accessions and metadata (table S8)
NikkiR08/AMR-UCR
No full textThis repo uses evidence synthesis, collation and analyses to compile unit costs of antimicrobial resistance (associated and attributable burden). An inverse variance meta-analysis with random effects is used to estimate excess hospital costs per case. Average values across key literature sources are utilised for antibiotic unit cost estimation, whilst international databases are consulted for economic data. Productivity losses are estimated through human capital and production function approaches. Inflation and exchange rate data are used to preserve local currency units and local economic shifts throughout, where possible. All cost results are then presented in 2019 USD