Pub Date : 2023-05-24DOI: 10.1007/s11367-023-02178-6
Leonardo Vásquez-Ibarra, A. Iriarte, R. Rebolledo-Leiva, M. González-Araya, L. Angulo-Meza
{"title":"Determining the key factors that contribute to the eco-efficiency level of honey production using life cycle approaches","authors":"Leonardo Vásquez-Ibarra, A. Iriarte, R. Rebolledo-Leiva, M. González-Araya, L. Angulo-Meza","doi":"10.1007/s11367-023-02178-6","DOIUrl":"https://doi.org/10.1007/s11367-023-02178-6","url":null,"abstract":"","PeriodicalId":54952,"journal":{"name":"International Journal of Life Cycle Assessment","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49388559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hyeon Jin Kim, Hye-Kyeong Park, D. Yon, M. Rahmati
Objective: The beneficial relationship of influenza vaccination rate on the COVID-19 pandemic is inconclusive and inconsistent. Thus, we aimed to investigate long-term trend changes in influenza vaccination rate among general population of South Korea before COVID-19 pandemic and during early/mid-pandemic period. Methods: We analyzed nationwide representative serial study from the Korea National Health and Nutrition Examination Survey (KNHANES). We analyzed data from 2007 to 2020 from KNHANES to calculate the influenza vaccination rates. Influenza vaccination status was obtained from health interviews and questionnaire based on the question of whether the influenza vaccine was vaccinated in the past 12 months. Results: Among 78,067 participants, the vaccination coverage increased from 2007 to 2020 (27.6% in 2007 to 2008 and 42.2% in 2020). The slope for the vaccination coverage increased between 2007 to 2019 (pre-pandemic, β= 0.310, 95% CI, 0.267 to 0.352), and the slope increased less than expected between 2018 to 2020 (entering the pandemic, β = 0.036, 95% CI, 0.010 to 0.062; β diff = -0.274, 95% CI, -0.323 to -0.224). However, the participants with ≥ 65 years old and those with medical condition (diabetes, tuberculosis, asthma, angina, myocardial infarction, cancer, chronic kidney disease, hypertension, and hyperlipidemia), the trends of the vaccination coverage increased from 2007 to 2019, whereas the coverage were decreased in 2020 (≥65 years old: 72.9%, 85.5%, and 81.4%; medical condition: 43.3%, 56.3%, and 55.7%, respectively). Conclusions: In this study using nationwide serial study, the influenza vaccination coverage increased from 2007 to 2020, and the slope increased less than expected in 2020 during the COVID-19 pandemic. On the other hand, the vaccination coverage decreased during the COVID-19 pandemic in the participants with ≥65 years old and those with medical condition. We suggest that influenza vaccination should be encouraged to the elderly and chronic disease patients to prevent twin infection during the COVID-19 pandemic.
{"title":"National trends in influenza vaccination coverage rates in South\u0000 Korea between 2007-2020, including the COVID-19 pandemic: a longitudinal\u0000 nationwide serial study","authors":"Hyeon Jin Kim, Hye-Kyeong Park, D. Yon, M. Rahmati","doi":"10.54724/lc.2023.e9","DOIUrl":"https://doi.org/10.54724/lc.2023.e9","url":null,"abstract":"Objective: The beneficial relationship of influenza vaccination rate on the COVID-19 pandemic is inconclusive and inconsistent. Thus, we aimed to investigate long-term trend changes in influenza vaccination rate among general population of South Korea before COVID-19 pandemic and during early/mid-pandemic period. Methods: We analyzed nationwide representative serial study from the Korea National Health and Nutrition Examination Survey (KNHANES). We analyzed data from 2007 to 2020 from KNHANES to calculate the influenza vaccination rates. Influenza vaccination status was obtained from health interviews and questionnaire based on the question of whether the influenza vaccine was vaccinated in the past 12 months. Results: Among 78,067 participants, the vaccination coverage increased from 2007 to 2020 (27.6% in 2007 to 2008 and 42.2% in 2020). The slope for the vaccination coverage increased between 2007 to 2019 (pre-pandemic, β= 0.310, 95% CI, 0.267 to 0.352), and the slope increased less than expected between 2018 to 2020 (entering the pandemic, β = 0.036, 95% CI, 0.010 to 0.062; β diff = -0.274, 95% CI, -0.323 to -0.224). However, the participants with ≥ 65 years old and those with medical condition (diabetes, tuberculosis, asthma, angina, myocardial infarction, cancer, chronic kidney disease, hypertension, and hyperlipidemia), the trends of the vaccination coverage increased from 2007 to 2019, whereas the coverage were decreased in 2020 (≥65 years old: 72.9%, 85.5%, and 81.4%; medical condition: 43.3%, 56.3%, and 55.7%, respectively). Conclusions: In this study using nationwide serial study, the influenza vaccination coverage increased from 2007 to 2020, and the slope increased less than expected in 2020 during the COVID-19 pandemic. On the other hand, the vaccination coverage decreased during the COVID-19 pandemic in the participants with ≥65 years old and those with medical condition. We suggest that influenza vaccination should be encouraged to the elderly and chronic disease patients to prevent twin infection during the COVID-19 pandemic.","PeriodicalId":54952,"journal":{"name":"International Journal of Life Cycle Assessment","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86470256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-19DOI: 10.1007/s11367-023-02182-w
Gisela P. Cordoba, E. Irassar
{"title":"Carbon footprint of reinforced concrete columns with and without supplementary cementitious materials","authors":"Gisela P. Cordoba, E. Irassar","doi":"10.1007/s11367-023-02182-w","DOIUrl":"https://doi.org/10.1007/s11367-023-02182-w","url":null,"abstract":"","PeriodicalId":54952,"journal":{"name":"International Journal of Life Cycle Assessment","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44842301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-17DOI: 10.1007/s11367-023-02184-8
Gabriela Giusti, Daiane Vitória da Silva, Ana Carolina Godoy Albino, Yara de Souza Tadano, D. A. L. Silva
{"title":"Human health impacts of particulate matter emitted from different milk production systems in Brazil: a regionalized LCA sensitivity analysis","authors":"Gabriela Giusti, Daiane Vitória da Silva, Ana Carolina Godoy Albino, Yara de Souza Tadano, D. A. L. Silva","doi":"10.1007/s11367-023-02184-8","DOIUrl":"https://doi.org/10.1007/s11367-023-02184-8","url":null,"abstract":"","PeriodicalId":54952,"journal":{"name":"International Journal of Life Cycle Assessment","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46457875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In medical research, analyzing the time it takes for a phenomenon to occur is sometimes crucial. However, various factors can contribute to the length of survival or observation periods, and removing specific data can lead to bias results. In this paper, we discuss the Kaplan-Meier analysis and Cox proportional hazards regression model, which are the most frequently used methods in survival analysis. For the first step, we shall discuss the temporal concepts needed in survival analysis, such as cohort studies and then the basic statistical functions dealt with in survival analysis. After solidifying the concepts, methods of understanding and practical application of the Kaplan-Meier survival analysis is noted. After that, we will discuss the analysis methods for the Cox proportional hazards regression model, which includes multiple covariates. With the interpretation method of Cox proportional hazards regression result, we then discuss methods for checking the assumptions of the Cox proportional hazards regression, such as log minus log plots. Finally, we briefly explain the concept of time-dependent regression analysis. It is our aim that through this paper, readers can obtain an understanding on survival analysis and learn how to perform it.
{"title":"Kaplan-Meier and Cox proportional hazards regression in survival\u0000 analysis: statistical standard and guideline of Life Cycle\u0000 Committee","authors":"S. Lee","doi":"10.54724/lc.2023.e8","DOIUrl":"https://doi.org/10.54724/lc.2023.e8","url":null,"abstract":"In medical research, analyzing the time it takes for a phenomenon to occur is sometimes crucial. However, various factors can contribute to the length of survival or observation periods, and removing specific data can lead to bias results. In this paper, we discuss the Kaplan-Meier analysis and Cox proportional hazards regression model, which are the most frequently used methods in survival analysis. For the first step, we shall discuss the temporal concepts needed in survival analysis, such as cohort studies and then the basic statistical functions dealt with in survival analysis. After solidifying the concepts, methods of understanding and practical application of the Kaplan-Meier survival analysis is noted. After that, we will discuss the analysis methods for the Cox proportional hazards regression model, which includes multiple covariates. With the interpretation method of Cox proportional hazards regression result, we then discuss methods for checking the assumptions of the Cox proportional hazards regression, such as log minus log plots. Finally, we briefly explain the concept of time-dependent regression analysis. It is our aim that through this paper, readers can obtain an understanding on survival analysis and learn how to perform it.","PeriodicalId":54952,"journal":{"name":"International Journal of Life Cycle Assessment","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79313892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-16DOI: 10.1007/s11367-023-02163-z
Javiera García-Leal, Andrea Teresa Espinoza Pérez, Óscar C. Vásquez
{"title":"Sustainable diets optimal design for the massive food services: economic versus environmental aspects","authors":"Javiera García-Leal, Andrea Teresa Espinoza Pérez, Óscar C. Vásquez","doi":"10.1007/s11367-023-02163-z","DOIUrl":"https://doi.org/10.1007/s11367-023-02163-z","url":null,"abstract":"","PeriodicalId":54952,"journal":{"name":"International Journal of Life Cycle Assessment","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44223076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-15DOI: 10.1007/s11367-023-02169-7
E. Sanyé‐Mengual, F. Biganzoli, A. Valente, S. Pfister, Serenella Sala
{"title":"What are the main environmental impacts and products contributing to the biodiversity footprint of EU consumption? A comparison of life cycle impact assessment methods and models","authors":"E. Sanyé‐Mengual, F. Biganzoli, A. Valente, S. Pfister, Serenella Sala","doi":"10.1007/s11367-023-02169-7","DOIUrl":"https://doi.org/10.1007/s11367-023-02169-7","url":null,"abstract":"","PeriodicalId":54952,"journal":{"name":"International Journal of Life Cycle Assessment","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45318283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-15DOI: 10.1007/s11367-023-02180-y
Johanna Suikkanen, Susanna Horn, Jáchym Judl, D. Lazarevic, J. Niemistö
{"title":"Factors contributing to the relevance and continuity of life cycle assessment networks","authors":"Johanna Suikkanen, Susanna Horn, Jáchym Judl, D. Lazarevic, J. Niemistö","doi":"10.1007/s11367-023-02180-y","DOIUrl":"https://doi.org/10.1007/s11367-023-02180-y","url":null,"abstract":"","PeriodicalId":54952,"journal":{"name":"International Journal of Life Cycle Assessment","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42821398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yejoon Kim, Wongi Woo, Vincent Kipkorir, Masoud Rahmati, Ai Koyanagi, Jae Il Shin, Lee Smith
Objective: The few existing country-specific studies on vaccine hesitancy in Africa are limited by their focus on specific population groups such as health care workers or medical students. Thus, we aimed to provide a comparative systematic review and meta-analysis of COVID-19 vaccine acceptance rates in African countries and their predictors. Methods: Fifteen studies on COVID-19 vaccine acceptance rates in African countries were reviewed in the PubMed/MEDLINE, Embase, and Google Scholar. Meta-analysis investigated the summary effect and inter-study heterogeneity of vaccine acceptance rates and influential factors. Results: Overall, the COVID-19 vaccine acceptance rate was 71.0% (95% CI 64.0 to 77.0). However, as time passed, the vaccine acceptance rate showed a decrease (second half of 2020: 81%, first half of 2021: 67%). Also, the vaccine acceptance rates in urban areas were higher than in rural areas (urban: 82%, rural: 72%). When considering region, vaccine acceptance rates in Eastern and Southern African countries were higher than in Western and North African countries (East: 72%, South: 72%, West: 60%, and North: 52%). Finally, factors such as older age, male sex, and wealth were identified as factors associated with a more acceptive attitude toward vaccination. Conclusion: COVID-19 vaccine acceptance rates demonstrated shifts and was affected by several factors. The rates decreased over time, were lower in rural (vs. urban) settings, and were relatively low in Northern and West African countries (vs. Southern and East African countries). We also found differences in vaccine acceptance rates by some socio-demographic characteristics. Targeting these characteristics, devising strategies to improve vaccine uptake in Africa could help improve vaccination rates.
{"title":"Shifts in COVID-19 vaccine acceptance rates among African countries: A systematic review and meta-analysis","authors":"Yejoon Kim, Wongi Woo, Vincent Kipkorir, Masoud Rahmati, Ai Koyanagi, Jae Il Shin, Lee Smith","doi":"10.54724/lc.2023.e7","DOIUrl":"https://doi.org/10.54724/lc.2023.e7","url":null,"abstract":"Objective: The few existing country-specific studies on vaccine hesitancy in Africa are limited by their focus on specific population groups such as health care workers or medical students. Thus, we aimed to provide a comparative systematic review and meta-analysis of COVID-19 vaccine acceptance rates in African countries and their predictors. Methods: Fifteen studies on COVID-19 vaccine acceptance rates in African countries were reviewed in the PubMed/MEDLINE, Embase, and Google Scholar. Meta-analysis investigated the summary effect and inter-study heterogeneity of vaccine acceptance rates and influential factors. Results: Overall, the COVID-19 vaccine acceptance rate was 71.0% (95% CI 64.0 to 77.0). However, as time passed, the vaccine acceptance rate showed a decrease (second half of 2020: 81%, first half of 2021: 67%). Also, the vaccine acceptance rates in urban areas were higher than in rural areas (urban: 82%, rural: 72%). When considering region, vaccine acceptance rates in Eastern and Southern African countries were higher than in Western and North African countries (East: 72%, South: 72%, West: 60%, and North: 52%). Finally, factors such as older age, male sex, and wealth were identified as factors associated with a more acceptive attitude toward vaccination. Conclusion: COVID-19 vaccine acceptance rates demonstrated shifts and was affected by several factors. The rates decreased over time, were lower in rural (vs. urban) settings, and were relatively low in Northern and West African countries (vs. Southern and East African countries). We also found differences in vaccine acceptance rates by some socio-demographic characteristics. Targeting these characteristics, devising strategies to improve vaccine uptake in Africa could help improve vaccination rates.","PeriodicalId":54952,"journal":{"name":"International Journal of Life Cycle Assessment","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135673516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-10DOI: 10.21203/rs.3.rs-1998674/v1
Yejoo Kim, W. Woo, V. Kipkorir, M. Rahmati, A. Koyanagi, J. Shin, Lee Smith
Objective: To provide a comparative systematic review and meta-analysis of COVID-19 vaccine acceptance rates in African countries and their predictors. Methods: : Fifteen studies on COVID-19 vaccine acceptance rate s in African countries were reviewed in the Medline database via PubMed. Meta-analysis investigated the summary effect and inter-study heterogeneity of vaccine acceptance rates and influential factors. Results: : Overall, the COVID-19 vaccine acceptance rate was 71% (95% CI 64-77). As time passed, the vaccine acceptance rate decreased (second half of 2020: 81%, first half of 2021: 67%). Also, the vaccine acceptance rates in urban areas were higher than in rural areas (urban: 82%, rural: 72%). When considering region, vaccine acceptance rates in Eastern and Southern African countries were higher than in Western and North African countries (East: 72%, South: 72%, West: 60%, North: 52%). Finally, factors such as older age, male sex, and wealth were identified as factors associated with a more acceptive attitude toward vaccination. Conclusions: : COVID-19 vaccine acceptance rates demonstrated shifts and was affected by several factors. The rates decreased over time, were lower in rural (vs. urban) settings, and were relatively low in Northern and West African countries (vs. Southern and East African countries). We also found differences in vaccine acceptance rates by some socio-demographic characteristics. Targeting these characteristics, devising strategies to improve vaccine uptake in Africa could help improve vaccination rates.
目的:对非洲国家COVID-19疫苗接受率及其预测因素进行比较系统回顾和荟萃分析。方法:通过PubMed对Medline数据库中15项非洲国家COVID-19疫苗接受率的研究进行综述。meta分析调查了疫苗接受率和影响因素的总体效应和研究间异质性。结果:总体而言，COVID-19疫苗合格率为71% (95% CI 64-77)。随着时间的推移，疫苗接种率下降(2020年下半年:81%，2021年上半年:67%)。此外，城市地区的疫苗接种率高于农村地区(城市:82%，农村:72%)。在考虑区域时，东部和南部非洲国家的疫苗接受率高于西部和北非国家(东部:72%，南部:72%，西部:60%，北部:52%)。最后，年龄较大、男性和财富等因素被确定为对疫苗接种更接受态度的相关因素。结论:COVID-19疫苗接种率存在变化，并受多种因素影响。随着时间的推移，发病率下降，农村(与城市相比)发病率较低，北非和西非国家(与南部和东非国家相比)发病率相对较低。我们还发现一些社会人口统计学特征在疫苗接受率方面存在差异。针对这些特点，制定战略以提高非洲的疫苗接种率，可能有助于提高疫苗接种率。
{"title":"Shifts in COVID-19 vaccine acceptance rates among African countries:\u0000 A systematic review and meta-analysis","authors":"Yejoo Kim, W. Woo, V. Kipkorir, M. Rahmati, A. Koyanagi, J. Shin, Lee Smith","doi":"10.21203/rs.3.rs-1998674/v1","DOIUrl":"https://doi.org/10.21203/rs.3.rs-1998674/v1","url":null,"abstract":"Objective: To provide a comparative systematic review and meta-analysis of COVID-19 vaccine acceptance rates in African countries and their predictors. Methods: : Fifteen studies on COVID-19 vaccine acceptance rate s in African countries were reviewed in the Medline database via PubMed. Meta-analysis investigated the summary effect and inter-study heterogeneity of vaccine acceptance rates and influential factors. Results: : Overall, the COVID-19 vaccine acceptance rate was 71% (95% CI 64-77). As time passed, the vaccine acceptance rate decreased (second half of 2020: 81%, first half of 2021: 67%). Also, the vaccine acceptance rates in urban areas were higher than in rural areas (urban: 82%, rural: 72%). When considering region, vaccine acceptance rates in Eastern and Southern African countries were higher than in Western and North African countries (East: 72%, South: 72%, West: 60%, North: 52%). Finally, factors such as older age, male sex, and wealth were identified as factors associated with a more acceptive attitude toward vaccination. Conclusions: : COVID-19 vaccine acceptance rates demonstrated shifts and was affected by several factors. The rates decreased over time, were lower in rural (vs. urban) settings, and were relatively low in Northern and West African countries (vs. Southern and East African countries). We also found differences in vaccine acceptance rates by some socio-demographic characteristics. Targeting these characteristics, devising strategies to improve vaccine uptake in Africa could help improve vaccination rates.","PeriodicalId":54952,"journal":{"name":"International Journal of Life Cycle Assessment","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89257299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：