Browse by Data capture method

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Number of items: 24.

Data Collection

Finger, F, Funk, S, White, K, Siddiqui, MR, Edmunds, WJ and Kucharski, AJ (2019). Additional file 2: of Real-time analysis of the diphtheria outbreak in forcibly displaced Myanmar nationals in Bangladesh. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.7829816.v1.

Sumner, T (2018). Mathematical model projections for: "Application of provincial data in mathematical modelling to inform sub-national tuberculosis program decision-making in South Africa". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00000950.

Witmer, K, Sherrard-Smith, E, Straschil, U, Tunnicliff, M, Baum, J and Delves, M (2018). MOESM1 of An inexpensive open source 3D-printed membrane feeder for human malaria transmission studies. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.6933695.v1

Witmer, K, Sherrard-Smith, E, Straschil, U, Tunnicliff, M, Baum, J and Delves, M (2018). MOESM2 of An inexpensive open source 3D-printed membrane feeder for human malaria transmission studies. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.6933704.v1

Eggo, RM (2018). Computer code of the coinfection model. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1006770.s004.

Langham, S, Wright, A, Kenworthy, J, Grieve, R and Dunlop, WC (2018). Cost-Effectiveness of Take-Home Naloxone for the Prevention of Overdose Fatalities among Heroin Users in the United Kingdom: Supplemental Materials. [Data Collection]. Value in Health. https://doi.org/10.1016/j.jval.2017.07.014

van Kleef, E, Luangasanatip, N, Bonten, MJ and Cooper, BS (2017). R code: why sensitive bacteria are resistant to hospital infection control. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.5281/zenodo.1045530

Marks, M, Mitja, O, Fitzpatrick, C, Asiedu, K, Solomon, AW, Mabey, D and Funk, S (2017). R files for: Mathematical Modeling of Programmatic Requirements for Yaws Eradication. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.266.

Rossell, D and Rubio, FJ (2017). Tractable Bayesian variable selection: beyond normality. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.5410747.v1

Luque, MA (2017). eltmle: Ensemble Learning Targeted Maximum Likelihood Estimation. [Data Collection]. GitHub. https://github.com/migariane/meltmle

Le Rutte, EA, Chapman, LA, Coffeng, LE, Jervis, S, Hasker, EC, Dwivedi, S, Karthick, M, Das, A, Mahapatra, T, Chaudhuri, I, Boelaert, MC, Medley, GF, Srikantiah, S, Hollingsworth, TD and de Vlas, SJ (2017). Elimination of visceral leishmaniasis in the Indian subcontinent: a comparison of predictions from three transmission models. [Data Collection]. Epidemics. http://doi.org/10.1016/j.epidem.2017.01.002

Kessy, A, Lewin, A and Strimmer, K (2017). Optimal Whitening and Decorrelation. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.4568002.v1

Gasparrini, A (2017). R Code for: "Modelling lagged associations in environmental time series data: a simulation study". [Data Collection]. Github. https://github.com/gasparrini/2016_gasparrini_Epidem_Rcode

Marks, M and Roberts, C (2017). Poisson Regression Dataset for "Learning Clinical Epidemiology with R" tutorial. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom.

Choi, YH, Campbell, H, Amirthalingam, G, Van Hoek, AJ and Miller, E (2016). Investigating the pertussis resurgence in England and Wales, and options for future control. [Data Collection]. BMC Medicine. https://doi.org/10.1186/s12916-016-0665-8.

Kucharski, AJ, Funk, S, Eggo, RM, Mallet, H, Edmunds, WJ and Nilles, EJ (2016). Transmission Dynamics of Zika Virus in Island Populations: A Modelling Analysis of the 2013–14 French Polynesia Outbreak. [Data Collection]. PLoS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0004726.

Diaz-ordaz, K, Kenward, M, Gomes, M and Grieve, R (2016). Multiple imputation methods for bivariate outcomes in cluster randomised trials: Supporting Information. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.99.

Sadique, Z, Lopman, B, Cooper, BS and Edmunds, J (2016). Cost-effectiveness of Ward Closure to Control Outbreaks of Norovirus Infection in UK National Health Service Hospitals: Epidemic simulation model. [Data Collection]. Oxford University Press. http://jid.oxfordjournals.org/content/213/suppl_1/S19/suppl/DC1

Jeandron, A, Saidi, JM, Kapama, A, Burhole, M, Birembano, F, Vandevelde, T, Gasparrini, A, Armstrong, B, Cairncross, S and Ensink, J (2015). Water Supply Interruptions and Suspected Cholera Incidence: A Time-Series Regression in the Democratic Republic of the Congo. [Data Collection]. Figshare. https://doi.org/10.1371/journal.pmed.1001893.

Kucharski, A and Edmunds, J (2015). Characterizing the Transmission Potential of Zoonotic Infections from Minor Outbreaks: Simulation and Inference code. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.1371/journal.pcbi.1004154.s010.

Phillips, A, Cambiano, V, Nakagawa, F, Magubu, T, Miners, A, Ford, D, Pillay, D, De Luca, A, Lundgren, J and Revill, P (2014). Cost-Effectiveness of HIV Drug Resistance Testing to Inform Switching to Second Line Antiretroviral Therapy in Low Income Settings: Supporting material. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.1155223 https://doi.org/10.6084/m9.figshare.1155221

Pigott, DM, Golding, N, Mylne, A, Huang, Z, Henry, AJ, Weiss, DJ, Brady, OJ, Kraemer, MU, Smith, DL, Moyes, CL, Bhatt, S, Gething, PW, Horby, PW, Bogoch, II, Brownstein, JS, Mekaru, SR, Tatem, AJ, Khan, K and Hay, SI (2014). Source code for analysis of the zoonotic niche of Ebolavirus. [Data Collection]. GitHub, Inc.. https://doi.org/10.7554/eLife.04395.

Okumu, F (2012). Combining insecticide treated bed nets and indoor residual spraying for malaria vector control in Africa. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.39.

Pocock, S, Bennett, M, Mccormack, V, Gueyffier, F, Boutitie, F, Fagard, RH and Boissel, J (2006). Cardiovascular Risk Score Calculator. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. http://riskscore.lshtm.ac.uk/

This list was generated on Mon May 20 02:11:40 2019 BST.