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  1. 1741
    por Jiang, Ying, Xu, Jing
    Publicado 2020
    “…However, it remains unclear whether COVID-19 death is linked to ambient air pollutants or meteorological conditions. We collected the daily COVID-19 death number, air quality index (AQI), ambient air pollutant concentrations, and meteorological variables data of Wuhan between Jan 25 and April 7, 2020. …”
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    The association between COVID-19 deaths and short-term ambient air pollution/meteorological condition exposure: a retrospective study from Wuhan, China
  2. 1742
    “…Malaria cases data at each health center with sociodemographic information, between January 2012 and December 2019, were included. Meteorological data were obtained from the national meteorology agency of Ethiopia. …”
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    Past eight-year malaria data in Gedeo zone, southern Ethiopia: trend, reporting-quality, spatiotemporal distribution, and association with socio-demographic and meteorological variables
  3. 1743
    “…Previous studies focused on the influence of air pollutants and probable meteorological parameters on confirmed COVID-19 infections via epidemiological methods, whereas the findings of relations between possible variables and COVID-19 incidences using geographical perspective were scarce. …”
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    Do air pollutants as well as meteorological factors impact Corona Virus Disease 2019 (COVID-19)? Evidence from China based on the geographical perspective
  4. 1744
    por Das, Manoja Kumar
    Publicado 2021
    “…OBJECTIVES: The study aimed to document the association between intussusception in Indian children and meteorological parameters and examine regional variations. …”
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    Association of meteorological parameters with intussusception in children aged under 2 years: results from a multisite bidirectional surveillance over 7 years in India
  5. 1745
    “…The main objective of this article was to understand the capability of Brazilian vehicles to collect meteorological data, through an observational approach of vehicle technologies and an applied study of automatic weather stations. …”
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    Study of environmental data from vehicle’s sensors and its aplicability to complement climate mapping from automatic meteorological stations and assess covid-19 impact
  6. 1746
    “…The contrasting trends of surface particulate matter (PM(2.5)), ozone (O(3)), and nitrogen dioxide (NO(2)) and their relationships with meteorological parameters from 2015 to 2019 were investigated in the coastal city of Shanghai (SH) and the inland city of Hefei (HF), located in the Yangtze River Delta (YRD). …”
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    Contrasting Trends of Surface PM(2.5), O(3), and NO(2) and Their Relationships with Meteorological Parameters in Typical Coastal and Inland Cities in the Yangtze River Delta
  7. 1747
    “…Maternity records were linked to available sun exposure from meteorological records, by postcode. Logistic regression analysis was used to explore the relationship between available sunshine and preterm birth at <37 weeks gestation. …”
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    Higher Sun Exposure in the First Trimester Is Associated With Reduced Preterm Birth; A Scottish Population Cohort Study Using Linked Maternity and Meteorological Records
  8. 1748
    “…From the 6 days after SF (January 31) to the end of March, the COVID-19 lockdown played an important role in the NO(2) reduction, with a maximum of 51%. The meteorology changes due to seasonal transition resulted in a nearly linear decreasing trend of 25% and 40% reduction over the 90 days for the NO(2) concentrations and VCDs, respectively. …”
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    Impacts of COVID-19 lockdown, Spring Festival and meteorology on the NO(2) variations in early 2020 over China based on in-situ observations, satellite retrievals and model simulations
  9. 1749
    “…Conjunctivitis is a common multifactorial inflammatory ocular surface disease characterized by symptoms such as congestion, edema, and increased secretion of conjunctival tissue, and the potential effects of meteorological factors as well as extreme meteorological factors on conjunctivitis and their lagging effects have not been fully evaluated. …”
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    Long-term effects of meteorological factors and extreme weather on daily outpatient visits for conjunctivitis from 2013 to 2020: a time-series study in Urumqi, China
  10. 1750
    “…BACKGROUND: Several studies have examined the effects of city-level meteorological conditions on the associations between meteorological factors and hand, foot, and mouth disease (HFMD) risk. …”
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    City-level meteorological conditions modify the relationships between exposure to multiple air pollutants and the risk of pediatric hand, foot, and mouth disease in the Sichuan Basin, China
  11. 1751
    por Yao, Jiayun, Henderson, Sarah B
    Publicado 2014
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    An empirical model to estimate daily forest fire smoke exposure over a large geographic area using air quality, meteorological, and remote sensing data
  12. 1752
    “…The objective of the present meteorological study was to assess the suitability of natural daylight to perform DL‐PDT for the treatment of face and scalp AK during different periods of the year and different geographical locations and latitudes across Australia. …”
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    Treatment of face and scalp solar (actinic) keratosis with daylight‐mediated photodynamic therapy is possible throughout the year in Australia: Evidence from a clinical and meteorological study
  13. 1753
    “…Generalized Additive Models (GAM) were developed with respect to inter-annual variations, seasonal cycles, holiday effects, diurnal profile, and the non-linear influences of meteorological factors to quantitatively differentiate the lockdown effects and meteorology impacts on concentrations of nitrogen dioxide (NO(2)) and fine particulate matters (PM(2.5)) at 34 sites in the Beijing area. …”
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    Quantitative estimation of meteorological impacts and the COVID-19 lockdown reductions on NO(2) and PM(2.5) over the Beijing area using Generalized Additive Models (GAM)
  14. 1754
    “…We use advanced deep learning models including the Graph Convolutional Network (GCN) and Convolutional Long Short-Term Memory (ConvLSTM) to learn patterns of particulate matter 2.5 (PM 2.5) over spatial and temporal correlations. We model meteorological features with a time-series set of multidimensional weighted directed graphs and interpolate dense meteorological graphs using the GCN architecture. …”
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    Predicting PM2.5 atmospheric air pollution using deep learning with meteorological data and ground-based observations and remote-sensing satellite big data
  15. 1755
    “…Numerous studies have been conducted worldwide to investigate if an association exists between meteorological factors and the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection incidence. …”
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    Role of meteorological factors on SARS-CoV-2 infection incidence in Italy and Spain before the vaccination campaign. A multi-city time series study
  16. 1756
    “…However, significant increases caused by unfavorable meteorological conditions counteracted the emissions reduction effects resulting in high air pollution in BTH region during the lockdown period. …”
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    Persistent high PM(2.5) pollution driven by unfavorable meteorological conditions during the COVID-19 lockdown period in the Beijing-Tianjin-Hebei region, China
  17. 1757
    “…METHODS: We systematically investigated experimental setting and meteorological conditions, as well as physiological factors and participant characteristics, to determine whether and to what extent they affected: between- and within-subjects variability of PWV recordings, and measurement difficulties of a particular device. …”
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    The effects of experimental, meteorological, and physiological factors on short-term repeated pulse wave velocity measurements, and measurement difficulties: A randomized crossover study with two devices
  18. 1758
    por Arunkumar, M., Dhanakumar, S.
    Publicado 2021
    “…In addition, we assessed the influence of meteorology, mobility, air mass transport, and biomass burning on PM(2.5) using Google’s mobility data, back trajectory model, and satellite-based fire incident data. …”
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    Influence of meteorology, mobility, air mass transport and biomass burning on PM(2.5) of three north Indian cities: phase-wise analysis of the COVID-19 lockdown
  19. 1759
    “…Temperature and humidity data can be obtained in Brazil through the National Institute of Meteorology (INMET), but complete data may not be available due to temporary failures on weather stations. …”
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    NASA POWER satellite meteorological system is a good tool for obtaining estimates of the temperature-humidity index under Brazilian conditions compared to INMET weather stations data
  20. 1760
    “…Random forest regression models showed that population density was the most crucial determinant for COVID-19 transmission, followed by meteorological variables and response measures. Ultraviolet radiation and temperature dominated meteorological factors, but the associations with daily cases varied across different climate zones. …”
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    Random forest regression on joint role of meteorological variables, demographic factors, and policy response measures in COVID-19 daily cases: global analysis in different climate zones
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