Infectious Disease Modelling SCIE
國際簡稱：Infect Dis Model 參考譯名：傳染病建模
主要研究方向：Mathematics-Applied Mathematics 非預(yù)警期刊 審稿周期： 17 Weeks
《傳染病建模》(Infectious Disease Modelling)是一本由KeAi Communications Co.出版的以Mathematics-Applied Mathematics為研究特色的國際期刊，發(fā)表該領(lǐng)域相關(guān)的原創(chuàng)研究文章、評論文章和綜述文章，及時報道該領(lǐng)域相關(guān)理論、實踐和應(yīng)用學科的最新發(fā)現(xiàn)，旨在促進該學科領(lǐng)域科學信息的快速交流。該期刊是一本開放期刊，近三年沒有被列入預(yù)警名單。
Infectious Disease Modeling is an academic journal focused on infectious disease modeling research, with the goal of advancing understanding of the dynamics of infectious diseases and how to predict and control these diseases through mathematical and computational models. It provides a platform for researchers to share their research findings, discuss new theories and methods, and evaluate the effectiveness of existing models. It not only focuses on the biology and epidemiology of diseases, but also on the effectiveness of public health interventions such as vaccination, antiviral treatment, and isolation strategies. As an authoritative journal dedicated to the study of infectious disease models, it provides a platform for researchers to communicate and learn, helping them better understand and control the spread of infectious diseases.
Infectious Disease Modelling期刊信息
- ISSN：2468-2152
- 出版語言：English
- 是否OA：開放
- E-ISSN：2468-0427
- 出版地區(qū)：Netherlands
- 是否預(yù)警：否
- 出版商：KeAi Communications Co.
- 出版周期：1 issue/year
- 開源占比：0.9458
- Gold OA文章占比：96.06%
- OA被引用占比：1
- 出版國人文章占比：0.07
- 出版撤稿占比：
- 研究類文章占比：100.00%
Infectious Disease Modelling CiteScore評價數(shù)據(jù)（2024年最新版）
| CiteScore | SJR | SNIP | CiteScore 指數(shù) | ||||||||||||||||
| 18.3 | 0.967 | 1.391 |
|
名詞解釋：CiteScore 是衡量期刊所發(fā)表文獻的平均受引用次數(shù)，是在 Scopus 中衡量期刊影響力的另一個指標。當年CiteScore 的計算依據(jù)是期刊最近4年（含計算年度）的被引次數(shù)除以該期刊近四年發(fā)表的文獻數(shù)。例如，2022年的 CiteScore 計算方法為：2022年的 CiteScore =2019-2022年收到的對2019-2022年發(fā)表的文件的引用數(shù)量÷2019-2022年發(fā)布的文獻數(shù)量 注：文獻類型包括：文章、評論、會議論文、書籍章節(jié)和數(shù)據(jù)論文。
Infectious Disease Modelling中科院評價數(shù)據(jù)
中科院 2023年12月升級版
| Top期刊 | 綜述期刊 | 大類學科 | 小類學科 | ||
| 否 | 否 | 醫(yī)學 | 3區(qū) | MATHEMATICAL & COMPUTATIONAL BIOLOGY 數(shù)學與計算生物學 INFECTIOUS DISEASES 傳染病學 | 2區(qū) 3區(qū) |
中科院 2022年12月升級版
| Top期刊 | 綜述期刊 | 大類學科 | 小類學科 | ||
| 否 | 否 | 醫(yī)學 | 4區(qū) | INFECTIOUS DISEASES 傳染病學 MATHEMATICAL & COMPUTATIONAL BIOLOGY 數(shù)學與計算生物學 | 4區(qū) 4區(qū) |
中科院 2021年12月舊的升級版
| Top期刊 | 綜述期刊 | 大類學科 | 小類學科 | ||
| 否 | 否 | 醫(yī)學 | 4區(qū) | INFECTIOUS DISEASES 傳染病學 MATHEMATICAL & COMPUTATIONAL BIOLOGY 數(shù)學與計算生物學 | 4區(qū) 4區(qū) |
中科院 2021年12月基礎(chǔ)版
| Top期刊 | 綜述期刊 | 大類學科 | 小類學科 | ||
| 否 | 否 | 醫(yī)學 | 4區(qū) | INFECTIOUS DISEASES 傳染病學 MATHEMATICAL & COMPUTATIONAL BIOLOGY 數(shù)學與計算生物學 | 4區(qū) 4區(qū) |
中科院 2021年12月升級版
| Top期刊 | 綜述期刊 | 大類學科 | 小類學科 | ||
| 否 | 否 | 醫(yī)學 | 4區(qū) | INFECTIOUS DISEASES 傳染病學 MATHEMATICAL & COMPUTATIONAL BIOLOGY 數(shù)學與計算生物學 | 4區(qū) 4區(qū) |
中科院 2020年12月舊的升級版
| Top期刊 | 綜述期刊 | 大類學科 | 小類學科 | ||
| 否 | 否 | 醫(yī)學 | 4區(qū) | INFECTIOUS DISEASES 傳染病學 MATHEMATICAL & COMPUTATIONAL BIOLOGY 數(shù)學與計算生物學 | 4區(qū) 4區(qū) |
Infectious Disease Modelling JCR評價數(shù)據(jù)（2023-2024年最新版）
| 按JIF指標學科分區(qū) | 收錄子集 | 分區(qū) | 排名 | 百分位 |
| 學科：INFECTIOUS DISEASES | ESCI | Q2 | 54 / 132 |
59.5% |
| 學科：MATHEMATICAL & COMPUTATIONAL BIOLOGY | ESCI | Q1 | 15 / 65 |
77.7% |
| 按JCI指標學科分區(qū) | 收錄子集 | 分區(qū) | 排名 | 百分位 |
| 學科：INFECTIOUS DISEASES | ESCI | Q1 | 12 / 132 |
91.29% |
| 學科：MATHEMATICAL & COMPUTATIONAL BIOLOGY | ESCI | Q1 | 6 / 65 |
91.54% |
Infectious Disease Modelling歷年數(shù)據(jù)統(tǒng)計
影響因子
中科院分區(qū)
Infectious Disease Modelling中國學者發(fā)文選摘
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1、The mechanism shaping the logistic growth of mutation proportion in epidemics at population scale
Author: Zhao, Shi; Hu, Inchi; Lou, Jingzhi; Chong, Marc K. C.; Cao, Lirong; He, Daihai; Zee, Benny C. Y.; Wang, Maggie H.
Journal: INFECTIOUS DISEASE MODELLING. 2023; Vol. 8, Issue 1, pp. 107-121. DOI: 10.1016/j.idm.2022.12.006
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2、The impact of COVID-19 vaccination campaign in Hong Kong SAR China and Singapore
Author: Yu, Boyu; Li, Qiong; Chen, Jing; He, Daihai
Journal: INFECTIOUS DISEASE MODELLING. 2023; Vol. 8, Issue 1, pp. 101-106. DOI: 10.1016/j.idm.2022.12.004
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3、Assessing the effectiveness of the intervention measures of COVID-19 in China based on dynamical method
Author: Wei, Xiaomeng; Li, Mingtao; Pei, Xin; Liu, Zhiping; Zhang, Juan
Journal: INFECTIOUS DISEASE MODELLING. 2023; Vol. 8, Issue 1, pp. 159-171. DOI: 10.1016/j.idm.2022.12.007
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4、Recursive Zero-COVID model and quantitation of control efforts of the Omicron epidemic in Jilin province
Author: Rong, Xinmiao; Chu, Huidi; Yang, Liu; Tan, Shaosi; Yang, Chao; Yuan, Pei; Tan, Yi; Zhou, Linhua; Liu, Yawen; Zhen, Qing; Wang, Shishen; Fan, Meng; Zhu, Huaiping
Journal: INFECTIOUS DISEASE MODELLING. 2023; Vol. 8, Issue 1, pp. 11-26. DOI: 10.1016/j.idm.2022.11.007
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5、Assessing the spatiotemporal malaria transmission intensity with heterogeneous risk factors: A modeling study in Cambodia
Author: Liu, Mutong; Liu, Yang; Po, Ly; Xia, Shang; Huy, Rekol; Zhou, Xiao-Nong; Liu, Jiming
Journal: INFECTIOUS DISEASE MODELLING. 2023; Vol. 8, Issue 1, pp. 253-269. DOI: 10.1016/j.idm.2023.01.006
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6、The malaria transmission in Anhui province China
Author: Kamana, Eric; Bai, Di; Brown, Heidi E.; Zhao, Jijun
Journal: INFECTIOUS DISEASE MODELLING. 2023; Vol. 8, Issue 1, pp. 1-10. DOI: 10.1016/j.idm.2022.11.009
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7、Simulating potential outbreaks of Delta and Omicron variants based on contact-tracing data: A modelling study in Fujian
Author: Guo, Yichao; Ye, Wenjing; Zhao, Zeyu; Guo, Xiaohao; Song, Wentao; Su, Yanhua; Zhao, Benhua; Ou, Jianming; Deng, Yanqin; Chen, Tianmu
Journal: INFECTIOUS DISEASE MODELLING. 2023; Vol. 8, Issue 1, pp. 270-281. DOI: 10.1016/j.idm.2023.02.002
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8、Contact pattern, current immune barrier, and pathogen virulence determines the optimal strategy of further vaccination
Author: Guo, Xiaohao; Liu, Ziyan; Yang, Shiting; Zhao, Zeyu; Guo, Yichao; Abudurusuli, Guzainuer; Zhao, Shanlu; Zeng, Ge; Hu, Shixiong; Luo, Kaiwei; Chen, Tianmu
Journal: INFECTIOUS DISEASE MODELLING. 2023; Vol. 8, Issue 1, pp. 192-202. DOI: 10.1016/j.idm.2023.01.003
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