Global prediction of antimicrobial resistance trends using statistical and machine learning models: Evaluating national action plan policy impacts through interrupted time series analysis
Year: 2025
Type: article
Language: en
Topic: Antibiotic Use and Resistance
Authors and affiliations:
raw_author_name: Linta Khalid
raw_affiliation_strings: School of Interdisciplinary Engineering & Science (SINES), National University of Sciences & Technology (NUST), Islamabad, Pakistan; Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China
raw_author_name: Kashif Saleem
raw_affiliation_strings: School of Interdisciplinary Engineering & Science (SINES), National University of Sciences & Technology (NUST), Islamabad, Pakistan; Public Health Laboratories Division, National Institute of Health, Islamabad, Pakistan
raw_author_name: Saima Mushtaq
raw_affiliation_strings: Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China; Department of Pharmacy, The First Affiliated Hopsital of Xi'an Jiaotong University, Xi'an, China
raw_author_name: Iltaf Hussain
raw_affiliation_strings: Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China
raw_author_name: Zamir Hussain
raw_affiliation_strings: School of Interdisciplinary Engineering & Science (SINES), National University of Sciences & Technology (NUST), Islamabad, Pakistan
School of Interdisciplinary Engineering & Science (SINES), National University of Sciences & Technology (NUST), Islamabad, Pakistan. Electronic address: zamir@sines.nust.edu.pk
raw_author_name: Zamir Hussain
raw_affiliation_strings: School of Interdisciplinary Engineering & Science (SINES), National University of Sciences & Technology (NUST), Islamabad, Pakistan
School of Interdisciplinary Engineering & Science (SINES), National University of Sciences & Technology (NUST), Islamabad, Pakistan. Electronic address: zamir@sines.nust.edu.pk
raw_author_name: Zainab Hussain
raw_affiliation_strings: School of Interdisciplinary Engineering & Science (SINES), National University of Sciences & Technology (NUST), Islamabad, Pakistan
School of Interdisciplinary Engineering & Science (SINES), National University of Sciences & Technology (NUST), Islamabad, Pakistan. Electronic address: zamir@sines.nust.edu.pk
raw_author_name: Zainab Hussain
raw_affiliation_strings: School of Interdisciplinary Engineering & Science (SINES), National University of Sciences & Technology (NUST), Islamabad, Pakistan
School of Interdisciplinary Engineering & Science (SINES), National University of Sciences & Technology (NUST), Islamabad, Pakistan. Electronic address: zamir@sines.nust.edu.pk
raw_author_name: Rehan Zafar Paracha
raw_affiliation_strings: School of Interdisciplinary Engineering & Science (SINES), National University of Sciences & Technology (NUST), Islamabad, Pakistan; Public Health Laboratories Division, National Institute of Health, Islamabad, Pakistan
raw_author_name: Amjad Khan
raw_affiliation_strings: Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China; Department of Pharmacy, The First Affiliated Hopsital of Xi'an Jiaotong University, Xi'an, China; Department of Pharmacy, Quaid-i-Azam University, Islamabad, Pakistan
raw_author_name: Jie Chang
raw_affiliation_strings: Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China. Electronic address: jiechang@xjtu.edu.cn
raw_author_name: Yu Fang
raw_affiliation_strings: Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China. Electronic address: yufang@xjtu.edu.cn
raw_author_name: Imran Sajid
raw_affiliation_strings: Institute of Microbiology and Molecular Genetics (IMMG), University of the Punjab, Lahore, Pakistan. Electronic address: imran.mmg@pu.edu.pk