Data Collection

Abbott, S (2019). seabbs/AssessBCGPolicyChange. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.2635687

Abbott, S (2019). seabbs/EstZoonoticTB. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3462381

Abbott, S (2019). seabbs/ModelTBBCGEngland. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3360668

Abbott, S, Bekker-Nielsen Dunbar, M and Smith, A (2020). seabbs/getTBinR. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.2547405

Aibana, O, Acharya, X, Huang, C, Becerra, MC, Galea, JT, Chiang, SS, Contreras, C, Calderon, R, Yataco, R, Velásquez, GE, Tintaya, K, Jimenez, J, Lecca, L and Murray, MB (2016). Data for prospective cohort study. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0166333.s001

Anderson, ST, Coin, LJ, Crampin, AC, Dockrell, HM, Eley, B, French, N, Heyderman, RS, Hibberd, ML, Kaforou, M, Kern, F, Langford, PR, Levin, M, Ling, L, Wilkinson, RJ and Wright, VJ (2013). Genome-wide transcriptional profiling of HIV positive and negative adults with active tuberculosis, latent TB infection and other diseases. [Data Collection]. NCBI Gene Expression Omnibus. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37250

Atkins, S, Heimo, L, Carter, DJ, Ribas Closa, M, Vanleeuw, L, Chenciner, L, Wambi, P, Sidney-Annerstedt, K, Egere, U, Verkuijl, S, Brands, A, Masini, T, Viney, K, Wingfield, T, Lönnroth, K and Boccia, D (2022). Additional file 1 of The socioeconomic impact of tuberculosis on children and adolescents: a scoping review and conceptual framework. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21622247.v1

Bah, SY, Forster, T, Dickinson, P, Kampmann, B and Ghazal, P (2018). Table 1 for "Meta-Analysis Identification of Highly Robust and Differential Immune-Metabolic Signatures of Systemic Host Response to Acute and Latent Tuberculosis in Children and Adults". [Data Collection]. Frontiers in Genetics. https://doi.org/10.3389/fgene.2018.00457.s002

Beckwith, P, Tlali, M, Charalambous, S, Churchyard, GJ, Fielding, K, Hoffmann, CJ, Johnson, S, Wood, N, Grant, AD and Karat, AS (2022). Causes and outcomes of admission and investigation of tuberculosis in adults with advanced HIV in South African hospitals: data from the TB Fast Track trial. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002393.

Benavente, E, Coll, F, Furnham, N, Mcnerney, R, Glynn, J, Campino, S, Pain, A, Mohareb, FR and Clark, T (2015). PhyloTrack. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.82.

Burke, R (2024). Computer Aided Screening for Tuberculosis in Low Resource Environments (CASTLE) trial data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003552.

Burke, R (2021). rachaelmburke/tbcovidblantyre. [Data Collection]. Github. https://github.com/rachaelmburke/tbcovidblantyre

Calderwood, C (2024). ERASE-TB: cross-sectional HIV, malnutrition and non-communicable diseases dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00004266.

Candfield, S, Mukora, R, Monkwe, S, Charalambous, S, Sweeney, S, Grant, AD, Fielding, K and Vassall, A (2018). TB Fast Track patient cost data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00000815.

Carter, N, Webb, E, Lebina, L, Motsomi, K, Bosch, Z, Martinson, N and MacPherson, P (2023). Data supporting "Prevalence of subclinical pulmonary tuberculosis and its association with HIV in household contacts of tuberculosis in two South African provinces: analysis of a cluster-randomised trial". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003373.

Chatterjee, S, Das, P, Shikhule, A, Munje, R and Vassall, A (2023). Journey of the tuberculosis patients in India from onset of symptom till one-year post-treatment. Complete dataset. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001564.s009

Chidambaram, JD, Bauer, J, Holland, M, Burton, M, Prajna, NV, Srikanthi, P, Lalitha, P, Elakkiya, S and Lanjewar, S (2014). Transcriptome data for bacterial and fungal keratitis compared to cadaver cornea. [Data Collection]. ArrayExpress. http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-58291/

Chiner-Oms, Álvaro, Berney, M, Boinett, C, González-Candelas, F, Young, DB, Gagneux, S, Jacobs Jr, WR, Parkhill, J, Cortes, T and Comas, I (2019). Genome-wide mutational biases fuel transcriptional diversity in the Mycobacterium tuberculosis complex. [Data Collection]. Nature Communications. https://doi.org/10.1038/s41467-019-11948-6

Clark, R, Mukandavire, C, Weerasuriya, C, Bakker, R and White, RG (2022). TBVAX Model. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6421372

Cliff, J, Cho, J, Lee, J, Ronacher, K, King, E, van Helden, P, Walzl, G and Dockrell, H (2015). Comparison of M. tuberculosis and M. bovis BCG in diluted whole blood cultures. [Data Collection]. ArrayExpress. http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-45386/

Cliff, J, Cho, J, Lee, J, Ronacher, K, King, E, van Helden, P, Walzl, G and Dockrell, H (2015). Excessive Cytolytic Responses Predict Tuberculosis Relapse After Apparently Successful Treatment. [Data Collection]. ArrayExpress. http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-67589/

Cliff, J, Lee, J, Constantinou, N, Cho, J, Clark, TG, Ronacher, K, King, EC, Lukey, PT, Duncan, K, Van Helden, PD, Walzl, G and Dockrell, HM (2012). Tuberculosis Patients Blood Gene Expression Through Treatment. [Data Collection]. ArrayExpress. http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-31348/

Cliff, J, Lee, J, Constantinou, N, Cho, J, Clark, TG, Ronacher, K, King, EC, Lukey, PT, Duncan, K, Van Helden, PD, Walzl, G and Dockrell, HM (2012). Tuberculosis Patients Blood Gene Expression Through Treatment (cured and end-of-treatment patients). [Data Collection]. ArrayExpress. http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-36238/

Coll, F, Mallard, K, Preston, M, Bentley, S, Parkhill, J, Mcnerney, R, Martin, N and Clark, T (2012). In Silico Spoligotyping. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://web.archive.org/web/20140726124623/http://pathogenseq.lshtm.ac.uk/

Coll, F, Mcnerney, R, Preston, MD, Guerra-assunção, JA, Warry, A, Hill-Cawthorne, G, Mallard, K, Nair, M, Miranda, A, Alves, A, Perdigão, J, Viveiros, M, Portugal, I, Hasan, Z, Hasan, R, Glynn, J, Martin, N, Pain, A and Clark, T (2015). TB Profiler. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. http://tbdr.lshtm.ac.uk/

Coll, F, Preston, M, Guerra-Assunção, JA, Hill-Cawthorn, G, Harris, D, Perdigão, J, Viveiros, M, Portugal, I, Drobniewski, F, Gagneux, S, Glynn, JR, Pain, A, Parkhill, J, McNerney, R, Martin, N and Clark, T (2014). PolyTB: A web-based resource designed to explore Mycobacterium tuberculosis complex (MTBC) genomic variation at a global scale. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. http://pathogenseq.lshtm.ac.uk/#tuberculosis

Colvin, C, Swartz, A, Kallon, I, Kielmann, K and Macgregor, H (2022). Infection prevention and control for drug-resistant tuberculosis in South Africa in the era of decentralised care: A whole systems approach. Research Question 1 - describe IPC policy and systems context. [Data Collection]. University of Cape Town. https://doi.org/10.25375/uct.16438842.v1

Colvin, C, Swartz, A, Kallon, I, Kielmann, K and Macgregor, H (2022). Umoya omuhle: Infection prevention and control for drug-resistant tuberculosis in South Africa in the era of decentralised care: A whole systems approach. Research Questions 3 and 4_KwaZulu Natal. [Data Collection]. University of Cape Town. https://doi.org/10.25375/uct.14873202.v1

Cox, SE (2019). Dataset and dictionary for inpatient mortality in a TB ward in the Philippines. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.8217443.v1

Cox, SE, White, LV, Faguer, B, Edwards, T, Lee, N, Solon, J, Ariyoshi, K, Castro, MC, Saludar, NR, Saito, N and Calapis, RW (2020). Co-morbidities (malnutrition, diabetes, anaemia, HIV, hypertension) and quality of life in persons with tuberculosis in the Philippines. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.11695467.v1

Cox, S and Faguer, B (2021). Patterns of non-communicable comorbidities at start of tuberculosis treatment in three regions of the Philippines: St-ATT cohort baseline data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002476.

Deenan, P, Koole, O and Wong, E (2020). Performance of computer-aided chest radiography for detection of TB in a community-based multimorbidity cohort in rural KwaZulu-Natal. [Data Collection]. AHRI Data Repository. https://doi.org/10.23664/AHRI.VUKUZAZI.CHESTXRAYPAPERDATA

Dodd, PJ (2021). petedodd/NotTB. [Data Collection]. Github. https://github.com/petedodd/NotTB

Dodd, PJ, Looker, C, Plumb, ID, Bond, V, Schaap, A, Shanaube, K, Muyoyeta, M, Vynnycky, E, Godfrey-faussett, P, Corbett, EL, Beyers, N, Ayles, H and White, RG (2019). Social contact data for Zambia and South Africa (CODA dataset). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.2548692

Dodd, PJ, Looker, C, Plumb, ID, Bond, V, Schaap, A, Shanaube, K, Muyoyeta, M, Vynnycky, E, Godfrey-faussett, P, Corbett, E, Beyers, N, Ayles, H and White, R (2015). Age- and Sex-Specific Social Contact Patterns and Incidence of Mycobacterium tuberculosis Infection: Interview Questionnaire. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.35.

Eckold, C, van Doorn, CL, Dockrell, H, Ottenhoff, TH, Vianello, E and Cliff, JM (2023). Impaired resolution of blood transcriptomes through tuberculosis treatment with diabetes comorbidity. [Data Collection]. NCBI Gene Expression Omnibus. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193978

Emery, JC, Dodd, PJ, Banu, S, Frascella, B, Garden, FL, Horton, KC, Hossain, S, Law, I, van Leth, F, Marks, GB, Nguyen, HB, Nguyen, HV, Onozaki, I, Quelapio, MID, Richards, AS, Shaikh, N, Tiemersma, EW, White, RG, Zaman, K, Cobelens, F and Houben, RM (2023). epidemery/subclinical_transmission. [Data Collection]. GitHub. https://github.com/epidemery/subclinical_transmission

Falconer, J (2017). Search strategies for "Evidence for the use of administrative controls to reduce the transmission of Mycobacterium tuberculosis in healthcare settings: a systematic review". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001020.

Feasey, H (2022). SCALE prevalence survey. [Data Collection]. Open Science Framework. https://osf.io/eu2xf/

Fielding, K (2021). Data set for describing resistance and identifying risk factors for resistance to Mycobacterium tuberculosis, among highly TB exposed gold miners in South Africa. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002424.

Fielding, K (2020). Data set for the comparison of the performance of QuantiFERON-TB Gold Plus with QuantiFERON-T Gold in-tube among highly TB exposed gold miners in South Africa. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001891.

Fletcher, HA, Filali-Mouhim, A, Nemes, E, Hawkridge, A, Keyser, A, Njikan, S, Hatherill, M, Scriba, TJ, Abel, B, Kagina, BM, Veldsman, A, Agudelo, NM, Kaplan, G, Hussey, GD, Sekaly, R and Hanekom, WA (2014). PBMC expression profiles of BCG vaccine protected infants and of BCG vaccinated infants who develop tuberculosis disease. [Data Collection]. NCBI Gene Expression Omnibus. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE20716

Foster, N, Belachew, M, Sahile, M, Gadissa, D, Abdurhman, T, Bedru, A, van Rest, J, van Kalmthout, K, Jerene, D, Fielding, K and Tadesse, AW (2024). Health survey form for human resources and digital adherence technologies. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003801.

Foster, N, Hanifa, Y, Pillai, N, Roycent, T, Fielding, K, Vassall, A and Grant, AD (2018). XPHACTOR cross-sectional patient cost dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00000791.

Foster, N, Nguyen, HV, Nguyen, NV, Nguyen, HB, Cobelens, F, Tiemersma, EW, Quaife, M and Houben, R (2022). Viet Nam tuberculosis prevalence survey: equity analysis code. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002373.

Gliddon, HD, Kaforou, M, Alikian, M, Habgood-Coote, D, Zhou, C, Oni, T, Anderson, ST, Brent, AJ, Crampin, AC, Eley, B, Heyderman, R, Kern, F, Langford, PR, Ottenhoff, THM, Hibberd, ML, French, N, Wright, VJ, Dockrell, HM, Coin, LJ, Wilkinson, RJ and Levin, M (2021). Identification of Reduced Host Transcriptomic Signatures for Tuberculosis Disease and Digital PCR-Based Validation and Quantification. [Data Collection]. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2021.637164.s001

Glynn, JR (2023). Dataset codebook for a 30-year population-based study examining the contribution of remote M.tuberculosis infection to tuberculosis. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002829.

Glynn, JR, Fielding, K, Mzembe, T, Sichali, L, Banda, L, Mclean, E, Kanjala, C, Crampin, AC, Ponnighaus, J, Warndorff, D and Fine, P (2021). Data for: “BCG revaccination in Malawi: 30-year follow-up of a large, randomised, double-blind placebo-controlled trial”. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002443.

Govender, I (2022). Infection prevention and control for drug-resistant tuberculosis in South Africa in the era of decentralised care:a whole systems approach. [Data Collection]. AHRI Data Repository. https://doi.org/10.23664/AHRI.UmoyaOmuhle.Datasets

Grandjean, L, Gilman, RH, Martin, L, Soto, E, Castro, B, Lopez, S, Coronel, J, Castillo, E, Alarcon, V, Lopez, V, San Miguel, A, Quispe, N, Asencios, L, Dye, C and Moore, D (2015). Data from: Transmission of multidrug-resistant and drug-susceptible tuberculosis within households: a prospective cohort study. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.br760

Grant, AD, Baisley, K, Mzembe, T and Edwards, A (2019). Incidence of tuberculosis infection among adolescents in rural KwaZulu-Natal, South Africa, 2017-2018. [Data Collection]. AHRI Data Repository. https://data.ahri.org/index.php/catalog/912/

Grant, AD and Kielmann, K (2022). Qualitative and Quantitative Data for Tuberculosis Infection Prevention and Control in KwaZulu-Natal and Western Cape, South Africa, 2018-2021. [Data Collection]. UK Data Service, Colchester, Essex, United Kingdom. https://doi.org/10.5255/UKDA-SN-854435

Grant, AD, Wong, E, Leslie, A, Karat, A, Fentress, M, Maharaj, P and Henwood, P (2022). Evaluation of ultrasound for screening and diagnosis of pulmonary tuberculosis, KwaZulu Natal, South Africa, 2019-20. [Data Collection]. Africa Health Research Institute. https://doi.org/10.23664/AHRI.POCUS.ANALYTICALDATASET.2022.V1

Gröschel, MI, Owens, M, Freschi, L, Vargas, R, Marin, MG, Phelan, J, Iqbal, Z, Dixit, A and Farhat, MR (2021). Additional file 1 of GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.16544185.v1

Gupta-Wright, A (2019). Mortality predictor score in hospitalised patients HIV-associated TB in Africa dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001026.

Hanifa, Y, Fielding, K, Chihota, VN, Adonis, L, Charalambous, S, Karstaedt, A, McCarthy, K, Nicol, MP, Ndlovu, NT, Sahid, F, Churchyard, G and Grant, AD (2016). Diagnostic Accuracy of Lateral Flow Urine LAM Assay for TB Screening of Adults with Advanced Immunosuppression Attending Routine HIV Care in South Africa. [Data Collection]. Figshare. https://doi.org/10.1371/journal.pone.0156866.

Hanifa, Y, Fielding, K, Grant, AD and Churchyard, GJ (2016). Data for: "The utility of repeat Xpert MTB/RIF testing to diagnose tuberculosis in HIV-positive adults with initial negative result". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.284.

Head, MG, Fitchett, J, Derrick, G, Wurie, FB, Meldrum, J, Kumari, N, Beattie, B, Counts, CJ and Atun, R (2015). Additional file 1: of Comparing research investment to United Kingdom institutions and published outputs for tuberculosis, HIV and malaria: a systematic analysis across 1997–2013. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3626534_D1.v1

Herrmann, Y, Lainati, F, del Mar Castro, M, Mwamba, C, Kumwenda, M, Muyoyeta, M, Broger, T, Heinrich, N, Olbrich, L, Corbett, EL, McMahon, S, Engel, N and Denkinger, C (2022). User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia [data]. [Data Collection]. heiDATA. https://doi.org/10.11588/data/PLRQCZ

Horton, KC, Sumner, T, Houben, Rein M G J, Corbett, EL and White, RG (2018). A Bayesian approach to understanding gender differences in tuberculosis disease burden. [Data Collection]. American Journal of Epidemiology. https://doi.org/10.1093/aje/kwy131

Hutchison, C, Khan, M, Yoong, J and Coker, R (2017). Financial barriers and coping strategies: a qualitative study of accessing multidrug-resistant tuberculosis and tuberculosis care in Yunnan, China. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3699937.

Jensen, HT (2024). Model for "Estimating the health and macroeconomic burdens of tuberculosis in India, 2021-2040". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00004409.

Kadia, BM, Dimala, CA, Fongwen, NT and Smith, AD (2021). Additional file 1 of Barriers to and enablers of uptake of antiretroviral therapy in integrated HIV and tuberculosis treatment programmes in sub-Saharan Africa: a systematic review and meta-analysis. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.17030642.v1

Karat, AS, Omar, T, von Gottberg, A, Tlali, M, Chihota, VN, Churchyard, GJ, Fielding, KL, Johnson, S, Martinson, NA, McCarthy, K, Wolter, N, Wong, EB, Charalambous, S and Grant, AD (2016). Autopsy Prevalence of Tuberculosis and Other Potentially Treatable Infections among Adults with Advanced HIV Enrolled in Out-Patient Care in South Africa: Lesedi Kamoso study data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.122.

Karat, A, Tlali, M, Fielding, K, Charalambous, S, Chihota, VN, Churchyard, GJ, Hanifa, Y, Johnson, S, McCarthy, K, Martinson, NA, Omar, T, Kahn, K, Chandramohan, D and Grant, AD (2016). Measuring mortality due to HIV-associated tuberculosis among adults in South Africa: comparing verbal autopsy, minimally-invasive autopsy, and research data. Data from the Lesedi Kamoso study. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.169.

Kaswaswa, K, MacPherson, P, Kumwenda, M, Mpunga, J, Thindwa, D, Nliwasa, M, Mwapasa, M, Odland, J, Tomoka, T, Chipungu, G, Mukaka, M and Corbett, EL (2022). Effect of patient-delivered household contact tracing and prevention for tuberculosis: A household cluster-randomised trial in Malawi. Data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.1371/journal.pone.0269219.s002

Katende, A, Nakiyingi, L, Andia-Biraro, I, Katairo, T, Muhumuza, R, Ssemata, AS, Nsereko, C, Semitala, FC and Meya, DB (2022). Antiretroviral therapy initiation and outcomes of hospitalized HIV-infected patients in Uganda - An evaluation of the HIV test and treat strategy. Health care worker interview guide. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0268122.s002

Katende, A, Nakiyingi, L, Andia-Biraro, I, Katairo, T, Muhumuza, R, Ssemata, AS, Nsereko, C, Semitala, FC and Meya, DB (2022). Antiretroviral therapy initiation and outcomes of hospitalized HIV-infected patients in Uganda-An evaluation of the HIV test and treat strategy. Stata data set. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0268122.s001

Khan, PY (2024). Data for: Karachi adult tuberculosis prevalence and child Mycobacterium tuberculosis infection survey, 2018-2019. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003788.

Knight, G (2018). Code for "The relative fitness of drug resistant Mycobacterium tuberculosis: a modelling study of household transmission in Lima, Peru". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.1205418

Knight, GM, Zimic, M, Funk, S, Gilman, RH, Friedland, JS and Grandjean, L (2018). Follow up time from The relative fitness of drug-resistant Mycobacterium tuberculosis: a modelling study of household transmission in Peru. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.6480617.v1

Ku, C, MacPherson, P, Khundi, M, Nzawa Soko, RH, Feasey, HRA, Nliwasa, M, Horton, KC, Corbett, EL and Dodd, PJ (2021). Durations of asymptomatic, symptomatic, and care-seeking phases of tuberculosis disease with a Bayesian analysis of prevalence survey and notification data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002633.

Költringer, FA, Rudgard, WE, Annerstedt, KS, Boccia, D and Carter, D (2019). Supporting data for: "The social determinants of national tuberculosis incidence rates in 116 countries: a longitudinal ecological study between 2005– 2015". [Data Collection]. OSF. https://osf.io/x6uag/

London School of Hygiene & Tropical Medicine (2020). TB WGS Tanzania. [Data Collection]. European Nucleotide Archive. https://www.ebi.ac.uk/ena/data/view/PRJEB29435

Lule, SA, Mawa, P, Nkurunungi, G, Nampijja, M, Kizito, D, Akello, F, Muhangi, L, Elliott, A and Webb, EL (2014). Factors associated with tuberculosis infection, and with anti-mycobacterial immune responses, among five year olds BCG-immunised at birth in Entebbe, Uganda. [Data Collection]. Vaccine. https://doi.org/10.1016/j.vaccine.2014.12.015.

MacPherson, P, Khundi, M, Nliwasa, M, Choko, AT, Phiri, VK, Webb, EL, Dodd, PJ, Cohen, T, Harris, R and Corbett, EL (2018). BlantyreTBEpi. [Data Collection]. Github. https://github.com/petermacp/BlantyreTBEpi

Mainga, T, Gondwe, M, Mactaggart, I, Stewart, RC, Shanaube, K, Ayles, H and Bond, V (2022). Additional file 1 of Qualitative study of patient experiences of mental distress during TB investigation and treatment in Zambia. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.20342552.v1

McCarthy, K, Fielding, K, Churchyard, GJ and Grant, AD (2018). Empiric tuberculosis treatment in South African primary health care facilities - for whom, where, when and why: Implications for the development of tuberculosis diagnostic tests. [Data Collection]. Figshare. https://doi.org/10.1371/journal.pone.0191608.s001

McQuaid, CF, Henrion, MYR, Burke, RM, MacPherson, P, Nzawa-Soko, R and Horton, KC (2022). Additional file 1 of Inequalities in the impact of COVID-19-associated disruptions on tuberculosis diagnosis by age and sex in 45 high TB burden countries. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21550982.v1

Mccreesh, N (2017). Model code for "An explanation for the low proportion of tuberculosis that results from transmission between household and known social contacts". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.283.

Meier, S, Seddon, JA, Maasdorp, E, Kleynhans, L, du Plessis, N, Loxton, AG, Malherbe, ST, Zak, DE, Thompson, E, Duffy, FJ, Kaufmann, SHE, Ottenhoff, THM, Scriba, TJ, Suliman, S, Sutherland, JS, Winter, J, Kuivaniemi, H, Walzl, G and Tromp, G (2022). KEGG and gene ontology (GO) enrichment analyses for significantly differentially expressed genes between low and high PET score groups for the terms and pathways identified in the main analyses. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0278295.s005

Meier, S, Seddon, JA, Maasdorp, E, Kleynhans, L, du Plessis, N, Loxton, AG, Malherbe, ST, Zak, DE, Thompson, E, Duffy, FJ, Kaufmann, SHE, Ottenhoff, THM, Scriba, TJ, Suliman, S, Sutherland, JS, Winter, J, Kuivaniemi, H, Walzl, G and Tromp, G (2022). KEGG pathway enrichment analysis results for significantly differentially expressed genes at all time points. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0278295.s004

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