Various regions of California have experienced a large number of wildfires this year, at the same time the state has been experiencing a large number of cases of and deaths from Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The present study aimed to investigate the relationship of wildfire allied pollutants, including particulate matter (PM-2.5 μm), carbon monoxide (CO), and Ozone (O) with the dynamics of new daily cases and deaths due to SARS-COV 2 infection in 10 counties, which were affected by wildfire in California. The data on COVID-19 pertaining to daily new cases and deaths was recorded from Worldometer Web. The daily PM-2.5 μm, CO, and O concentrations were recorded from three metrological websites: BAAQMD- Air Quality Data; California Air Quality Index-AQI; and Environmental Protection Agency- EPA. The data recorded from the date of the appearance of first case of (SARS-CoV-2) in California region to the onset of wildfire, and from the onset of wildfire to September 22, 2020. After the wildfire, the PM2.5 concentration increased by 220.71%; O by 19.56%; and the CO concentration increased by 151.05%. After the wildfire, the numbers of cases and deaths due to COVID-19 both increased respectively by 56.9% and 148.2%. The California wildfire caused an increase in ambient concentrations of toxic pollutants which were temporally associated with an increase in the incidence and mortality of COVID-19.
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http://dx.doi.org/10.1016/j.scitotenv.2020.143948 | DOI Listing |
Infect Agent Cancer
January 2025
Shahid Beheshti University of Medical Sciences, Hamadan University of Medical Sciences, Hamadan, Iran.
Both women and men are now confronted with the grave threat of cancers caused by the human papillomavirus (HPV). It is estimated that 80% of women may encounter HPV over their lives. In the preponderance of cases involving anal, head and neck, oral, oropharyngeal, penile, vaginal, vulvar, and cervical malignancies, high-risk HPV (HR-HPV) is the causative agent.
View Article and Find Full Text PDFSeizure
January 2025
Department of Clinical Neurological Sciences, Western University, London, ON. Canada; Department of Paediatrics, Western University, London, ON. Canada. Electronic address:
Objective: To conduct a systematic review on radiofrequency thermocoagulation (RF-TC) in pediatric epilepsy surgery. In addition, due to the low number of dedicated pediatric series, to conduct a pooled analysis of cases published in the literature.
Methods: We conducted a literature search using PUBMED and EMBASE which produced 432 results.
Eur J Surg Oncol
January 2025
Galactophore Department, Galactophore Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Background: Breast cancer is a major health issue for women in Africa. This study aims to assess the burden of the disease using the latest estimates from Global Cancer Observatory 2022.
Methods: Data were sourced from the Global Cancer Observatory 2022.
PLoS Negl Trop Dis
January 2025
Division of Infectious Diseases, Department of Internal Medicine, Kaohsiung Medical University Hospital, School of Medicine, College of Medicine, Center for Tropical Medicine and Infectious Disease Research, Kaohsiung Medical University, Kaohsiung, Taiwan (R.O.C.).
Background/purpose: Early detection of severe dengue (SD) and appropriate management are crucial in reducing the case fatality rate. The objective of this study was to investigate the clinical characteristics of SD and identify independent risk factors associated with mortality among SD patients.
Methods: A retrospective study was conducted at two medical center hospitals between 2002 and 2019, involving patients aged ≧18 years with laboratory-confirmed SD.
Eur Heart J Acute Cardiovasc Care
January 2025
Department of Heart Disease, Haukeland University Hospital, Bergen, Norway.
Background: This prospective, two-centre study derived and validated predictive algorithms for the Siemens Atellica IM high-sensitivity cardiac troponin I (hs-cTnI) assay in the emergency department (ED).
Methods: Algorithms for predicting 30-day myocardial infarction type 1 and 2 (MI) and death or non-ST-elevation myocardial infarction (NSTEMI, type 1 and 2) at index admission were developed from a derivation cohort of 1896 patients and validated using a synthetic dataset with nearly 1 million patient cases. Performance was compared to the European Society of Cardiology algorithms for hs-cTnT (Roche Diagnostics) and hs-cTnI (Abbott Diagnostics).
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