During the COVID-19 pandemic, violence targeting healthcare reportedly increased. Attacks against healthcare can severely hamper the public health response during a pandemic. Descriptive data analysis of these attacks may be helpful to develop prevention and mitigation strategies. This study aimed to investigate trends regarding COVID-19-related attacks against healthcare from January 2020 until January 2023. COVID-19-related incidents occurring between January 2020 and January 2023 were extracted from the Safeguarding Health in Conflict Coalition database and screened for eligibility. Included incidents were linked to COVID-19 health measures or were attacks directly interfering with COVID-19 healthcare, including conflict-related attacks. Data collected per incident included temporal factors; country; setting; attack and weapon type; perpetrator; motive; number of healthcare workers (HCWs) killed, injured, or kidnapped; and health facility damage. The study identified 255 COVID-19-related attacks against healthcare, with 18 HCWs killed, 147 HCWs injured, and 86 facilities damaged. The highest attack frequency was reported during the beginning of the pandemic and predominantly concerned stigma-related attacks against healthcare. Reported incidents in 2021 included attacks targeting vaccination campaigns, as well as conflict-related attacks interfering with COVID-19 healthcare. COVID-19-related attacks against healthcare occurred in heterogeneous contexts throughout the pandemic. Due to underreporting, the data presented are a minimum estimate of the actual magnitude of violence. The findings of this study emphasize the importance of public education campaigns, improved coordination between healthcare organizations and law enforcement, and the possible need to bolster the security of medical facilities and health workers.
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http://dx.doi.org/10.1089/hs.2023.0114 | DOI Listing |
IntroductionAsthma attacks are set off by triggers such as pollutants from the environment, respiratory viruses, physical activity and allergens. The aim of this research is to create a machine learning model using data from mobile health technology to predict and appropriately warn a patient to avoid such triggers.MethodsLightweight machine learning models, XGBoost, Random Forest, and LightGBM were trained and tested on cleaned asthma data with a 70-30 train-test split.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Electronic health records (EHRs) provide a rich source of observational patient data that can be explored to infer underlying causal relationships. These causal relationships can be applied to augment medical decision-making or suggest hypotheses for healthcare research. In this study, we explored a large-scale EHR dataset on patients with asthma or related conditions (N = 14,937).
View Article and Find Full Text PDFCephalalgia
January 2025
Department of Pharmacology, University of Arizona College of Medicine, Tucson, AZ, USA.
Background: Women with endometriosis are more likely to have migraine. The mechanisms underlying this co-morbidity are unknown. Prolactin, a neurohormone secreted and released into circulation from the anterior pituitary, can sensitize sensory neurons from female, but not male, rodents, monkeys and human donors.
View Article and Find Full Text PDFCell Rep
January 2025
Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA. Electronic address:
Cytotoxic immune cells mediate precise attacks against diseased cells to maintain organismal health. Their operational unit of killing and host defense is lytic granules (LGs), which are specialized lysosomal-related organelles. Precision in cytotoxicity is achieved by converging the many LGs to the microtubule-organizing center (MTOC) and polarizing these to the diseased cell for secretion.
View Article and Find Full Text PDFJ Neurol
January 2025
Department of Neurology, Mayo Clinic, Rochester, MN, USA.
Objectives: To report myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) epidemiology in two American regions using 2023 diagnostic criteria.
Patients And Methods: We compared age- and sex-adjusted incidence and prevalence of MOGAD per 2023 diagnostic criteria in Olmsted County (Minnesota [USA]) and Martinique (Caribbean [FR]) (01/01/2003-12/31/2018, prevalence day) using Poisson regression. Archived sera in 68-85% were available for MOG-IgG testing by live cell-based assay at Mayo Clinic.
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