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Number of items: 15.

A

Aldridge, RW, Lewer, D, Beale, S, Johnson, AM, Zambon, M, Hayward, AC and Fragaszy, E (2020). Dataset: Seasonality and immunity to laboratory-confirmed seasonal coronaviruses (HCoV-NL63, HCoV-OC43, and HCoV-229E): results from the Flu Watch cohort study. [Data Collection]. UCL Institute of Health Informatics, London, United Kingdom. https://doi.org/10.14324/000.ds.10093909

C

Coutinho, C, Bastos, L, Corrêa da Mota, J, Toledo, L, Costa, K, Bertoni, N and Bastos, FI (2019). The risks of HCV infection among Brazilian crack cocaine users: incorporating diagnostic test uncertainty. [Data Collection]. Scientific Reports. https://doi.org/10.1038/s41598-018-35657-0

D

Domman, D, Quilici, M, Dorman, MJ, Njamkepo, E, Mutreja, A, Mather, AE, Delgado, G, Morales-Espinosa, R, Grimont, PAD, Lizárraga-Partida, ML, Bouchier, C, Aanensen, DM, Kuri-Morales, P, Tarr, CL, Dougan, G, Parkhill, J, Campos, J, Cravioto, A, Weill, F and Thomson, NR (2017). Integrated view of Vibrio cholerae in the Americas. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.5427253.v1

J

Jombart, T, Cori, A, Didelot, X, Cauchemez, S, Fraser, C and Ferguson, N (2014). Bayesian Reconstruction of Disease Outbreaks by Combining Epidemiologic and Genomic Data. [Data Collection]. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1003457

K

Klepac, P, Kucharski, AJ, Conlan, AJ, Kissler, S, Tang, M, Fry, H and Gog, JR (2020). Contacts in context: large-scale setting-specific social mixing matrices from the BBC Pandemic project. [Data Collection]. Medrxiv. https://doi.org/10.1101/2020.02.16.20023754

Küpers, LK, Monnereau, C, Sharp, GC, Yousefi, P, Salas, LA, Ghantous, AG, Page, CM, Reese, SE, Wilcox, AJ, Czamara, D, Starling, AP, Novoloaca, A, Lent, S, Roy, R, Hoyo, C, Breton, CV, Allard, C, Just, AC, Bakulski, KM, Holloway, JW, Everson, TM, Xu, C, Huang, R, van der Plaat, DA, Wielscher, M, Kebede Merid, S, Ullemar, V, Rezwan, FI, Lahti, J, van Dongen, J, Langie, SA, Richardson, TG, Magnus, MC, Nohr, EA, Xu, Z, Duijts, L, Zhao, S, Zhang, W, Plusquin, M, DeMeo, DL, Solomon, O, Heimovaara, JH, Jima, DD, Gao, L, Bustamante, M, Perron, P, Wright, RO, Hertz-Picciotto, I, Zhang, H, Karagas, MR, Gehring, U, Marsit, CJ, Beilin, LJ, Vonk, JM, Jarvelin, M, Bergström, A, Örtqvist, AK, Ewart, S, Villa, PM, Moore, S, Willemsen, G, Standaert, AR, Håberg, SE, Sørensen, TI, Taylor, JA, Räikkönen, K, Yang, IV, Kechris, K, Nawrot, TS, Silver, MJ, Gong, YY, Richiardi, L, Kogevinas, M, Litonjua, AA, Eskenazi, B, Huen, K, Mbarek, H, Maguire, RL, Dwyer, T, Vrijheid, M, Bouchard, L, Baccarelli, AA, Croen, LA, Karmaus, W, Anderson, D, de Vries, M, Sebert, S, Kere, J, Karlsson, R, Hasan Arshad, S, Hämäläinen, E, Routledge, MN, Boomsma, DI, Feinberg, AP, Newschaffer, CJ, Govarts, E, Moisse, M, Fallin, MD, Melén, E, Prentice, AM, Kajantie, E, Almqvist, C, Oken, E, Dabelea, D, Boezen, HM, Melton, PE, Wright, RJ, Koppelman, GH, Trevisi, L, Hivert, M, Sunyer, J, Munthe-Kaas, MC, Murphy, SK, Corpeleijn, E, Wiemels, J, Holland, N, Herceg, Z, Binder, EB, Smith, GD, Jaddoe, VW, Lie, RT, Nystad, W, London, SJ, Lawlor, DA, Relton, CL, Snieder, H and Felix, JF (2019). Meta-analysis of epigenome-wide association studies in neonates reveals widespread differential DNA methylation associated with birthweight. [Data Collection]. Nature Communications. https://doi.org/10.1038/s41467-019-09671-3

L

Luque-Fernandez, MA, Schomaker, M, Rachet, B and Schnitzer, ME (2018). Targeted maximum likelihood estimation for a binary treatment: A tutorial. [Data Collection]. Github. https://github.com/migariane/SIM-TMLE-tutorial

le Polain de Waroux, O, Flasche, S, Kucharski, AJ, Langendorf, C, Ndazima, D, Mwanga-Amumpaire, J, Grais, RF, Cohuet, S and Edmunds, WJ (2018). Data for: Identifying human encounters that shape the transmission of Streptococcus pneumoniae and other acute respiratory infections. [Data Collection]. Mendeley Data. https://doi.org/10.17632/rdskdgxrh3.1

M

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

P

Pullan, RL, Halliday, K, Oswald, W, Mcharo, C, Beaumont, E, Kepha, S, Witek-McManus, S, Gichuki, PM, Allen, E, Drake, T, Pitt, C, Matendechero, S, Gwayi-Chore, MC, Anderson, RM, Njenga, SM, Brooker, S and Mwandawiro, CS (2019). Household and Parasitology Surveys, Kwale County, Kenya, 2015-2017. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001305.

R

Rosello, A, Mossoko, M, Flasche, S, Vanhoek, A, Mbala, P, Camacho, A, Funk, S, Kucharski, A, Ilunga, BK, Edmunds, J, Piot, P, Baguelin, M and Tamfum, JM (2015). Ebola virus disease in the Democratic Republic of the Congo, 1976-2014: Figures and Data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.30.

S

Sallum, MAM, Conn, JE, Bergo, ES, Laporta, GZ, Chaves, LS, Bickersmith, SA, de Oliveira, TM, Figueira, EAG, Moresco, G, Lêuda, O, Struchiner, CJ, Yakob, L and Massad, E (2019). Vector competence, vectorial capacity of Nyssorhynchus darlingi and the basic reproduction number of Plasmodium vivax in agricultural settlements in the Amazonian Region of Brazil. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.7956500.v1

Sobkowiak, B, Glynn, JR, Houben, Rein M. G. J., Mallard, K, Phelan, JE, Guerra-Assunção, JA, Banda, L, Mzembe, T, Viveiros, M, McNerney, R, Parkhill, J, Crampin, AC and Clark, TG (2018). Additional file 1: of Identifying mixed Mycobacterium tuberculosis infections from whole genome sequence data. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.6968636.v1

Stockdale, L, Nash, S, Nalwoga, A, Painter, H, Asiki, G, Fletcher, H and Newton, R (2018). Data from: Human cytomegalovirus epidemiology and relationship to tuberculosis and cardiovascular disease risk factors in a rural Ugandan cohort. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.d1k17

U

UCLEB Consortium (2013). Population Genomics of Cardiometabolic Traits: Design of the UCL-LSHTM-Edinburgh-Bristol (UCLEB) Consortium. [Data Collection]. PLoS. https://doi.org/10.1371/journal.pone.0071345.

This list was generated on Sat Aug 8 02:21:29 2020 BST.