Items where Author is "Lempens, P"

Journal article

LEMPENS, P., VAN DEUN, A., AUNG, K.J.M., HOSSAIN, M.A., BEHRUZNIA, M., DECROO, T., RIGOUTS, L., DE JONG, B.C. and MEEHAN, C.J., 2023. Borderline rpoB mutations transmit at the same rate as common rpoB mutations in a tuberculosis cohort in Bangladesh. Microbial Genomics, 9 (9): 001109. ISSN 2057-5858

NGABONZIZA, J.C.S., RIGOUTS, L., TORREA, G., DECROO, T., KAMANZI, E., LEMPENS, P., RUCOGOZA, A., HABIMANA, Y.M., LAENEN, L., NIYIGENA, B.E., UWIZEYE, C., USHIZIMPUMU, B., MULDERS, W., IVAN, E., TZFADIA, O., MUVUNYI, C.M., MIGAMBI, P., ANDRE, E., MAZARATI, J.B., AFFOLABI, D., UMUBYEYI, A.N., NSANZIMANA, S., PORTAELS, F., GASANA, M., DE JONG, B.C. and MEEHAN, C.J., 2022. Multidrug-resistant tuberculosis control in Rwanda overcomes a successful clone that causes most disease over a quarter century. Journal of Clinical Tuberculosis and Other Mycobacterial Diseases, 27: 100299.

LEMPENS, P., DECROO, T., AUNG, K.J.M., HOSSAIN, M.A., RIGOUTS, L., MEEHAN, C.J., VAN DEUN, A. and DE JONG, B.C., 2020. Initial resistance to companion drugs should not be considered an exclusion criterion for the shorter multidrug-resistant tuberculosis treatment regimen. International Journal of Infectious Diseases, 100, pp. 357-365. ISSN 1201-9712

NG, K.C.S., NGABONZIZA, J.C.S., LEMPENS, P., DE JONG, B.C., VAN LETH, F. and MEEHAN, C.J., 2019. Bridging the TB data gap: in silico extraction of rifampicin-resistant tuberculosis diagnostic test results from whole genome sequence data. PeerJ, 7: e7564. ISSN 2167-8359

MEEHAN, C.J., MORIS, P., KOHL, T.A., PEČERSKA, J., AKTER, S., MERKER, M., UTPATEL, C., BECKERT, P., GEHRE, F., LEMPENS, P., STADLER, T., KASWA, M.K., KÜHNERT, D., NIEMANN, S. and DE JONG, B.C., 2018. The relationship between transmission time and clustering methods in Mycobacterium tuberculosis epidemiology. EBioMedicine, 37, pp. 410-416. ISSN 2352-3964

LEMPENS, P., MEEHAN, C.J., VANDELANNOOTE, K., FISSETTE, K., DE RIJK, P., VAN DEUN, A., RIGOUTS, L. and DE JONG, B.C., 2018. Isoniazid resistance levels of Mycobacterium tuberculosis can largely be predicted by high-confidence resistance-conferring mutations. Scientific Reports, 8 (1): 3246. ISSN 2045-2322