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Infection and Drug Resistance《感染与耐药性》 (官网投稿)

简介
  • 期刊简称INFECT DRUG RESIST
  • 参考译名《感染与耐药性》
  • 核心类别 SCIE(2024版), 外文期刊,
  • IF影响因子
  • 自引率7.30%
  • 主要研究方向医学-PHARMACOLOGY & PHARMACY 药学;INFECTIOUS DISEASES 传染病学

主要研究方向:

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医学-PHARMACOLOGY & PHARMACY 药学;INFECTIOUS DISEASES 传染病学

Infection and Drug Resistance《感染与耐药性》(不定期). An international, peer-reviewed, open access journal that focuses on the optimal treatment of&nb...[显示全部]
征稿信息

万维提示:

1、投稿方式:在线投稿。

2、期刊网址:

https://www.dovepress.com/infection-and-drug-resistance-journal

3、投稿网址:

https://www.dovepress.com/submit_step_1.php

4、期刊刊期:不定期出版

2021年8月5日星期四

                                 

 

期刊信息【官网信息】

 

Aims and Scope

Infection and Drug Resistance is an international, peer-reviewed, open access journal that focuses on the optimal treatment of infection (bacterial, fungal and viral) and the development and institution of preventative strategies to minimize the development and spread of resistance.

The journal is characterized by the rapid reporting of high-quality original research, reviews, guidelines, expert opinions, commentary and clinical studies in all areas of infection and drug resistance.

Infection and Drug Resistance will no longer consider meta-analyses for publication.

Specific topics covered by the journal include:

Development of novel anti-infectives

Optimal use of existing anti-infectives

Pathogenesis and etiology of infectious disease

Proteomic and genomic studies in resistant organisms

Mechanisms of resistance development

Vaccine development and implementation

Infection control in hospitals and the community

Diagnosis and early detection of infection

Clinical management of infection

Clinical management of antibiotic resistance (e.g. in transplant and HIV patients)

Epidemiology of infection and antibiotic resistance

Education and prevention of drug resistance

Patient adherence and satisfaction

The journal does not accept study protocols. The journal will consider case reports only if they make a valuable and original contribution to the literature.

When considering submission of a paper utilizing publicly-available data authors should ensure that such studies add significantly to the body of knowledge and that they are validated using the authors’ own data through replication in an original sample.


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