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5681por Shi, Chen, Liu, Wen-Hui, Yang, Lin, Yan, Ze-Lin, Li, Li, Zhang, Zhou-Bin, Ou, Chun-Quan“…A mixed-effects quasi-Poisson regression was applied to analyze the effectiveness of the EPI on mumps incidence, after controlling for long-term and seasonal trends, and meteorological factors. The model also accounted for the first-order autocorrelation within each age group. …”
Publicado 2022
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5682“…Finally, the Gaussian process regression method is validated using the European Centre for Medium-Range Weather Forecasts ERA5 meteorological reanalysis data. The obtained results show that Gaussian process regression can be used to reliably estimate the wind velocity field from aircraft derived data.…”
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5683por Nakamura, Daisuke, Kinoshita, Hiroki, Asada, Kazuo, Arimitsu, Takuma, Yasumatsu, Mikinobu, Ishiwata, Takayuki“…However, to date, the Japanese hazard classification has not considered seasonal and regional variations, despite clear differences in meteorological conditions across different regions in Japan. …”
Publicado 2022
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5684“…Higher concentration of elements such as C, N, O, Na, Mg, Al, Si, S, Fe, Cl, Ca, Ti, Cr, Pb, Fe, K, Cu, Cl, P, and F were observed during the smog along with dominant organic functional groups (aldehyde, ketones, alkyl halides (R-F; R-Br; R-Cl), ether, etc.), which supported potential contribution from transboundary biomass-burning activities along with local pollution sources and favorable meteorological conditions. The morphology of individual particles were found mostly as non-spherical, including carbon fractals, aggregates, sharp-edged, rod-shaped, and flaky structures. …”
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5685“…Future droughts are identified using the Standardized Precipitation Index at 3, 6, and 9-month intervals based on precipitation values and the relationship between different types of droughts (meteorological, agricultural and hydrological). We introduce a new coefficient, the water cost coefficient, derived from drought characteristics that captures the added irrigation cost in drought years because of increased water price. …”
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5686“…The simulation model was developed using EnergyPlus and the heating energy consumption with different insulation materials was simulated based on the meteorological parameters of the top of Xiaohaituo Mountain (2177.5 m) and the Olympic/Paralympic Village (950 m) in Yanqing zone. …”
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5687por Xie, Xiansheng, Qiu, Jianfei, Feng, Xinxin, Hou, Yanlin, Wang, Shuojin, Jia, Shugang, Liu, Shutian, Hou, Xianda, Dou, Sen“…In this study, based on the Chinese farmland soil survey dataset and meteorological dataset, the spatial distribution characteristics of soil pH in coastal eastern China were analyzed using kriging interpolation. …”
Publicado 2022
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5688por Yang, Jun, Yang, Zhou, Qi, Li, Li, Mengmeng, Liu, Di, Liu, Xiaobo, Tong, Shilu, Sun, Qinghua, Feng, Luzhao, Ou, Chun-Quan, Liu, Qiyong“…We adopted generalized additive model with quasi-Poisson to estimate province-specific association between air pollution and ILI in 30 Chinese provinces during 2015–2019, after adjusting for time trend and meteorological factors. We then pooled province-specific association by using random-effect meta-analysis. …”
Publicado 2022
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5689“…The data of 5,965 monthly egg production records of 629 Thai native Pradu Hang dum chickens were used for analysis in combination with the temperature-humidity index (THI) calculated by meteorological data near the testing station. The average THI throughout the year was 76.6, and the highest was 82. …”
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5690“…METHODS: COVID-19 case notifications, meteorological factors and Google data were collected over the B.1.617.2 (Delta) outbreak in Melbourne, Australia from August to November 2021. …”
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5691por Ahmadi, Nourollah, Barry, Mamadou Billo, Frouin, Julien, de Navascués, Miguel, Toure, Mamadou Aminata“…First, using historical meteorological data we confirmed changes in temperatures (+ 1 °C on average) and rainfall regime (less predictable and reduced amount) in the target areas. …”
Publicado 2023
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5692“…METHODS: In this study, a stacking ensemble model comprised of four base learners (ridge regression, random forest, gradient boosting decision tree, and artificial neural network) and a meta learner (elastic net) was proposed for predicting the daily number of hospital admissions (HAs) for CD using the historical HAs data, air quality data, and meteorological data in Chengdu, China from 2015 to 2018. …”
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5693por Ming, Xin, He, Ziyi, Li, Yannan, Hu, Yaqiong, Yang, Yunping, Chen, Hongyan, Chen, Qin, Yang, Huan, Zhou, Wenzheng“…This study collected data including meteorological factors, air pollutants, and information in Birth Certificate System from 9 districts during 2015–2020 in Chongqing, China. …”
Publicado 2023
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5694por Zhu, Yizhi, Liu, Cheng, Hu, Qihou, Teng, Jiahua, You, Daian, Zhang, Chengxin, Ou, Jinping, Liu, Ting, Lin, Jinan, Xu, Tianyi, Hong, Xinhua“…Two TROPOspheric Monitoring Instrument (TROPOMI) NO(2) retrievals came from the Royal Netherlands Meteorological Institute (KNMI) and the University of Science and Technology of China (USTC), respectively. …”
Publicado 2022
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5695por Jia, Hongjie, Zang, Shuying, Zhang, Lijuan, Yakovleva, Evgenia, Sun, Huajie, Sun, Li“…Spatiotemporal variation of PM(2.5) in 2018 and 2020 were compared to analyze the impacts of COVID-19, the spatial heterogeneity of PM(2.5), and meteorological and socioeconomic impacts of PM(2.5) concentrations heterogeneity in China in 2020 were investigated. …”
Publicado 2023
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5696por Abdel-Aziz, Eslam Ahmed, Mansour, Tamer M., Dawood, Mohamed M. Khairat, Ismail, Tamer M., Ramzy, Khaled“…Several parameters were measured during the experiments, including sun intensity, meteorological aspects, cumulative freshwater production, average glass, and water temperatures and PCM temperature. …”
Publicado 2023
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5697“…In order to understand the cause of variation in the concentration of pollutants and to find the association of pollutants with meteorological parameters, the Pearson correlation coefficient was used to study the relationship between PM(2.5), PM(10), NO(2), and SO(2) concentrations, temperature, rainfall, and wind speed for a span of 15 months, i.e., from January 2020 to March 2021. …”
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5698por Lu, Guangyu, Zhang, Dongying, Chen, Juan, Cao, Yuanyuan, Chai, Liying, Liu, Kaixuan, Chong, Zeying, Zhang, Yuying, Lu, Yan, Heuschen, Anna-Katharina, Müller, Olaf, Zhu, Guoding, Cao, Jun“…Identified parameters predicting malaria re-introduction risk included environmental and meteorological, vectorial, population migration, and surveillance and response related factors. …”
Publicado 2023
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5699por Gea, Marta, Macrì, Manuela, Marangon, Daniele, Pitasi, Francesco Antonio, Fontana, Marco, Schilirò, Tiziana, Bonetta, Sara“…PM extract effects decreased in some sites during 2020; this may be due to lockdowns that reduced/modified pollutant emissions and may be related also to complex PM origin/formation and to meteorological conditions. In conclusion, the study confirms that PM biological effects cannot be assessed considering only the PM concentration and suggests to include a battery of bioassay for air quality monitoring in order to protect human health from air pollution effects. …”
Publicado 2023
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5700por Tumusiime, Dan, Isingoma, Emmanuel, Tashoroora, Optato B., Ndumu, Deo B., Bahati, Milton, Nantima, Noelina, Mugizi, Denis Rwabiita, Jost, Christine, Bett, Bernard“…Variables considered included animal level factors (age, sex, species) and multiple environmental data including meteorological factors, soil types, and altitude. A risk map was generated by projecting fitted (mean) values, from a final model that had environmental factors onto a spatial grid that covered the entire domain. …”
Publicado 2023
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