Publications

Molecular epidemiology of resistance to antimalarial drugs in the Greater Mekong subregion: an observational study

Imwong M. et al, (2020), The Lancet Infectious Diseases

Pregnancy outcomes and risk of placental malaria after artemisinin-based and quinine-based treatment for uncomplicated falciparum malaria in pregnancy: a WorldWide Antimalarial Resistance Network systematic review and individual patient data meta-analysis.

Saito M. et al, (2020), BMC medicine, 18

Setting priorities for patient-centred surveillance of drug-resistant infections.

Ashley E. et al, (2020), International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases

ACORN (A Clinically-Oriented Antimicrobial Resistance Surveillance Network): a pilot protocol for case based antimicrobial resistance surveillance

Turner P. et al, (2020), Wellcome Open Research, 5, 13 - 13

Efficacy and tolerability of artemisinin-based and quinine-based treatments for uncomplicated falciparum malaria in pregnancy: a systematic review and individual patient data meta-analysis.

Saito M. et al, (2020), The Lancet. Infectious diseases

Plasmodium falciparum ATP4 inhibitors to treat malaria: worthy successors to artemisinin?

Ashley EA. and Phyo AP., (2020), The Lancet. Infectious diseases

Triple artemisinin-based combination therapies versus artemisinin-based combination therapies for uncomplicated Plasmodium falciparum malaria: a multicentre, open-label, randomised clinical trial

van der Pluijm RW. et al, (2020), The Lancet, 395, 1345 - 1360

A cautionary note on the use of unsupervised machine learning algorithms to characterise malaria parasite population structure from genetic distance matrices

Watson JA. et al, (2020)

Factors affecting the electrocardiographic QT interval in malaria: A systematic review and meta-analysis of individual patient data

Chan XHS. et al, (2020), PLOS Medicine, 17, e1003040 - e1003040

Case-based surveillance of antimicrobial resistance in the ACORN (A Clinically Oriented Antimicrobial Resistance Surveillance Network) study

van Doorn HR. et al, (2020), JAC-Antimicrobial Resistance, 2

A Bayesian phase 2 model based adaptive design to optimise antivenom dosing: application to a dose-finding trial for a novel Russell’s viper antivenom in Myanmar

Watson JA. et al, (2020)

ACORN (A Clinically-Oriented Antimicrobial Resistance Surveillance Network): a pilot protocol for case based antimicrobial resistance surveillance

Turner P. et al, (2020), Wellcome Open Research, 5, 13 - 13

ACORN (A Clinically-Oriented Antimicrobial Resistance Surveillance Network): a pilot protocol for case based antimicrobial resistance surveillance.

Turner P. et al, (2020), Wellcome open research, 5

Evaluation of the forum theatre approach for public engagement around antibiotic use in Myanmar.

Swe MMM. et al, (2020), PloS one, 15

Association of mutations in the Plasmodium falciparum Kelch13 gene (Pf3D7_1343700) with parasite clearance rates after artemisinin-based treatments—a WWARN individual patient data meta-analysis

(2019), BMC Medicine, 17

Competing risk events in antimalarial drug trials in uncomplicated Plasmodium falciparum malaria: a WorldWide Antimalarial Resistance Network individual participant data meta-analysis

(2019), Malaria Journal, 18

Genomic structure and diversity of Plasmodium falciparum in Southeast Asia reveal recent parasite migration patterns

Shetty AC. et al, (2019), Nature Communications, 10

Microbiology Investigation Criteria for Reporting Objectively (MICRO): a framework for the reporting and interpretation of clinical microbiology data

Turner P. et al, (2019), BMC Medicine, 17

Standardising the reporting of microbiology and antimicrobial susceptibility data.

Turner P. and Ashley EA., (2019), The Lancet. Infectious diseases, 19, 1163 - 1164

Determinants of dihydroartemisinin-piperaquine treatment failure in Plasmodium falciparum malaria in Cambodia, Thailand, and Vietnam: a prospective clinical, pharmacological, and genetic study

van der Pluijm RW. et al, (2019), The Lancet Infectious Diseases, 19, 952 - 961