Publications by authors named "K Bakker"
Background: The impact of vaccination prior to infection on postacute sequelae of coronavirus disease 2019 (COVID-19, PASC), also known as long COVID, remains unclear. Here we assess the protective effect of vaccination on long COVID in a community-based setting.
Methods: The Immunity Associated with SARS-CoV-2 (IASO) study is an ongoing prospective cohort of working adults that began in October 2020.
Impact of the Current on Reverse Bias Degradation of Perovskite Solar Cells.
ACS Appl Energy Mater
November 2023
Article Synopsis
- Partial shading in photovoltaic modules can result in unequal current generation, causing perovskite solar cells to operate in reverse bias and leading to significant efficiency loss.
- A study was conducted applying various small reverse biases for different durations to understand the degradation effects on these cells.
- The findings indicate that the reverse bias current and degradation rates display similar patterns when voltages are normalized, suggesting potential degradation mechanisms and methods to better compare performance across different perovskite solar cells.
Article Synopsis
- * This study provides longitudinal data on fecal shedding of SARS-CoV-2 RNA from 48 infected individuals, revealing that a significant number (77%) had positive samples over time, showcasing the variability in individual shedding patterns.
- * The research also details the detection of fecal indicators like PMMoV RNA and crAssphage DNA, emphasizing their potential role in improving estimates of COVID-19 prevalence in wastewater, thus enhancing public health monitoring efforts.
Article Synopsis
- The COVID-19 pandemic has disrupted traditional patterns of infectious diseases, making real-time monitoring crucial for public health responses.
- Researchers used Google Trends search data for RSV to identify outbreaks, correlating it with clinical surveillance data.
- By applying the Moving Epidemic Method (MEM), they created effective monitoring tools for countries with limited disease surveillance, showing strong correlations and similar estimates of epidemic details from both data sources.