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No Effects of Meteorological Factors on the SARS-CoV-2 Infection Fatality Rate

Biomedical and Environmental Sciences 2021年第11期34卷 871-880页

作者： SOLANES Aleix LAREDO Carlos GUASP Mar FULLANA Miquel Angel FORTEA Lydia GARCIA-OLIVE Ignasi solmi marco SHIN Jae II URRA Xabier RADUA Joaquim Institut d'lnvestigacions Biomediques August Pi i Sunyer(IDIBAPS) BarcelonaSpain Department of Psychiatry and Forensic Medicine Autonomous University of BarcelonaBarcelonaSpain Neurosciences Unit Hospital ClinicBarcelonaSpain Adult Psychiatry and Psychology Department Institute of NeurosciencesHospital ClinicBarcelonaSpain Biomedical Network Research Centre on Mental Health(CIBERSAM) Instituto de Salud Carlos IIIMadridSpain Department of Medicine University of BarcelonaBarcelonaSpain Department of Medicine Autonomous University of BarcelonaBarcelonaSpain Pneumology Department Hospital Germans Trias i PujolBadalonaSpain Neurosciences Department University of PaduaPaduaItaly Padua Neuroscience Center PaduaItaly Department of Psychosis Studies Institute of PsychiatryPsychology and NeuroscienceKing's College LondonLondonUK Department of Pediatrics College of MedicineYonsei UniversitySeoul 03722Korea Centre for Psychiatric Research and Education Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden

Objective Previous studies have shown that meteorological factors may increase COVID-19 mortality,likely due to the increased transmission of the ***,this could also be related to an increased infection fatality rate(IFR).We investigated the association between meteorological factors(temperature,humidity,solar irradiance,pressure,wind,precipitation,cloud coverage)and IFR across Spanish provinces(n=52)during the first wave of the pandemic(weeks 10–16 of 2020).Methods We estimated IFR as excess deaths(the gap between observed and expected deaths,considering COVID-19-unrelated deaths prevented by lockdown measures)divided by the number of infections(SARS-CoV-2 seropositive individuals plus excess deaths)and conducted Spearman correlations between meteorological factors and IFR across the *** We estimated 2,418,250 infections and 43,237 *** IFR was 0.03%in<50-year-old,0.22%in 50–59-year-old,0.9%in 60–69-year-old,3.3%in 70–79-year-old,12.6%in 80–89-year-old,and26.5%in≥*** did not find statistically significant relationships between meteorological factors and adjusted ***,we found strong relationships between low temperature and unadjusted IFR,likely due to Spain’s colder provinces’aging *** The association between meteorological factors and adjusted COVID-19 IFR is *** age differences or ignoring COVID-19-unrelated deaths may severely bias COVID-19 epidemiological analyses.

关键词： Climate COVID-19 Infection fatality rate SARS-CoV-2 Temperature Weather

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Assessing the quality of studies in meta-analyses: Advantages and limitations of the Newcastle Ottawa Scale

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World Journal of Meta-Analysis 2017年第4期5卷 80-84页

作者： Claudio Luchini Brendon Stubbs marco solmi Nicola Veronese Department of Diagnostics and Public Health University and Hospital Trust of Verona Surgical Pathology Unit Santa Chiara Hospital Physiotherapy Department South London and Maudsley NHS Foundation Trust Health Service and Population Research Department Institute of Psychiatry Psychology and Neuroscience King's College London Faculty of Health Social Care and Education Anglia Ruskin University Department of Neurosciences University of Padova Nicola Veronese Institute for Clinical Research and Education in Medicine IREM National Research Council Neuroscience Institute Aging Branch

One of the most important points in the meta-analyses is certainly represented by the assessment of the quality of the studies included in such research. The meta-analyses are considered the highest level of evidence in science. Also for this reason, the quality of the studies included should be accurately evaluated by standardized tools. The overall results of the metaanalysis depend indeed also on a rigorous evaluation of the studies quality. Among all the possible tools for this complex evaluation, the Newcastle Ottawa Scale(NOS) is one of the most used worldwide, above all for observational studies. In this review, we will discuss the strengths and limitation of the NOS, also on the basis of the branch of science in which it has been applied.

关键词： Quality Meta-analysis Newcastle Ottawa Scale

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