Items where faculty/department is "Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023)" and Year is 2020
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Abbas, KM (2020). vaccine-impact/epi_covid. [Data Collection]. Github. https://github.com/vaccine-impact/epi_covid
Abbas, KM, Van Zandvoort, K, Brisson, M and Jit, M (2020). Effects of updated demography, disability weights, and cervical cancer burden on estimates of human papillomavirus vaccination impact at the global, regional, and national levels: a PRIME modelling study. [Data Collection]. The Lancet Global Health. https://doi.org/10.1016/S2214-109X(20)30022-X
Abbott, S, Bekker-Nielsen Dunbar, M and Smith, A (2020). seabbs/getTBinR. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.2547405
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). Collated Results of the National and Subnational Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Tests, Hospital Admissions and Deaths. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/4L3OKY
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). Continent Summary Reproduction Number (R) Based on Reported Deaths. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/A12ADQ
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). Local Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/ISLFJB
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National Reproduction Number (R) Based on Reported Cases. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/TTLQRN
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National Reproduction Number (R) Estimates Based on Reported Deaths. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/RBZVJE
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for Brazil Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/METDW2
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for Germany Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/LNMJYJ
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for India Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/PRP6CY
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for Italy Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/8DUSHZ
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Deaths. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/QVWUJ5
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Hospital Admissions. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/CCE4XT
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/S07EZB
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for the United States of America Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/BZ7FPH
Abbott, S, Bosse, N, DeWitt, M, Rau, A, Chateigner, A, Mareschal, S and Hellewell, J (2020). epiforecasts/EpiSoon. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3746394
Abbott, S and Endo, A (2020). idmodelr: Infectious Disease Model Library and Utilities. [Data Collection]. The Comprehensive R Archive Network. https://cran.r-project.org/package=idmodelr
Abbott, S, Funk, S, Munday, JD and Hellewell, J (2020). Pathways to Low Fertility. [Data Collection]. Zenodo, London, United Kingdom. http://doi.org/10.5281/zenodo.3627833
Abbott, S, Funk, S, Munday, JD and Hellewell, J (2020). Wuhan Seeding Vs Transmission. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3630424
Abbott, S, Funk, S, Munday, JD and Hellewell, J (2020). epiforecasts/WuhanSeedingVsTransmission: Resubmission to Wellcome Open Research. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3630424
Abbott, S, Gaythorpe, KA, Imai, N and Liu, Y (2020). seabbs/CovidInterventionReview: CC0 license. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3728162
Abbott, S, Sherratt, K, Funk, S and Hellewell, J (2020). epiforecasts/covid: Submission release. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3746396
Abbott, S, Sherratt, K, Gibbs, H, Finger, F, Campbell, P, Hellewell, J, Barks, P, Meakin, S and Lee, H (2020). epiforecasts/NCoVUtils. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3635417
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
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Beale, S, Lewer, D, Aldridge, RW, Johnson, AM, Zambon, M, Hayward, A and Fragaszy, E (2020). Household Transmission of Seasonal Coronavirus Infections: Results from the Flu Watch cohort study. [Data Collection]. University College London. https://doi.org/10.5522/04/12383873.v1
Bell, S, Clarke, R, Mounier-Jack, S and Paterson, P (2020). Parents’ and guardians’ views on the acceptability of a future COVID-19 vaccine for themselves and their children: cross-sectional survey and qualitative interview data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001862.
Bower, H, Akpogheneta, O, Kanneh, Z, Jusu, B, Kanneh, L, Alhasan, F, Gbakie, M and Shieffelin, J (2020). Data for: "Boosting understanding of Lassa Fever virus epidemiology: field testing a novel assay to identify past Lassa Fever virus infection in blood and oral fluids of survivors and unexposed controls in Sierra Leone". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001992.
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Candido, DS, Claro, IM, de Jesus, JG, Souza, WM, Moreira, FRR, Dellicour, S, Mellan, TA, du Plessis, L, Pereira, RHM, Sales, FCS, Manuli, ER, Thézé, J, Almeida, L, Menezes, MT, Voloch, CM, Fumagalli, MJ, Coletti, TM, da Silva, CAM, Ramundo, MS, Amorim, MR, Hoeltgebaum, HH, Mishra, S, Gill, MS, Carvalho, LM, Buss, LF, Prete, CA, Ashworth, J, Nakaya, HI, Peixoto, PS, Brady, OJ, Nicholls, SM, Tanuri, A, Rossi, Átila D., Braga, CK, Gerber, AL, de C. Guimarães, AP, Gaburo, N, Alencar, CS, Ferreira, AC, Lima, CX, Levi, JE, Granato, C, Ferreira, GM, Francisco, RS, Granja, F, Garcia, MT, Moretti, ML, Perroud, MW, Castiñeiras, Terezinha M. P. P., Lazari, CS, Hill, SC, de Souza Santos, AA, Simeoni, CL, Forato, J, Sposito, AC, Schreiber, AZ, Santos, MNN, de Sá, CZ, Souza, RP, Resende-Moreira, LC, Teixeira, MM, Hubner, J, Leme, PAF, Moreira, RG, Nogueira, ML, Ferguson, NM, Costa, SF, Proenca-Modena, JL, Vasconcelos, ATR, Bhatt, S, Lemey, P, Wu, C, Rambaut, A, Loman, NJ, Aguiar, RS, Pybus, OG, Sabino, EC and Faria, NR (2020). Data from: Evolution and epidemic spread of SARS-CoV-2 in Brazil. [Data Collection]. Dryad. http://doi.org/10.5061/dryad.rxwdbrv5z
Candido, DS, Claro, IM, de Jesus, JG, Souza, WM, Moreira, FRR, Dellicour, S, Mellan, TA, du Plessis, L, Pereira, RHM, Sales, FCS, Manuli, ER, Thézé, J, Almeida, L, Menezes, MT, Voloch, CM, Fumagalli, MJ, Coletti, TM, da Silva, CAM, Ramundo, MS, Amorim, MR, Hoeltgebaum, HH, Mishra, S, Gill, MS, Carvalho, LM, Buss, LF, Prete, CA, Ashworth, J, Nakaya, HI, Peixoto, PS, Brady, OJ, Nicholls, SM, Tanuri, A, Rossi, Átila D., Braga, CK, Gerber, AL, de C. Guimarães, AP, Gaburo, N, Alencar, CS, Ferreira, AC, Lima, CX, Levi, JE, Granato, C, Ferreira, GM, Francisco, RS, Granja, F, Garcia, MT, Moretti, ML, Perroud, MW, Castiñeiras, Terezinha M. P. P., Lazari, CS, Hill, SC, de Souza Santos, AA, Simeoni, CL, Forato, J, Sposito, AC, Schreiber, AZ, Santos, MNN, de Sá, CZ, Souza, RP, Resende-Moreira, LC, Teixeira, MM, Hubner, J, Leme, PAF, Moreira, RG, Nogueira, ML, Ferguson, NM, Costa, SF, Proenca-Modena, JL, Vasconcelos, ATR, Bhatt, S, Lemey, P, Wu, C, Rambaut, A, Loman, NJ, Aguiar, RS, Pybus, OG, Sabino, EC and Faria, NR (2020). Evolution and epidemic spread of SARS-CoV-2 in Brazil. [Data Collection]. Science. https://doi.org/10.1126/science.abd2161
Carvalho, MS, Freitas, LP, Cruz, OG, Brasil, P and Bastos, LS (2020). Dengue and microcephaly cases in Brazil used in Carvalho et al. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3489427
Chandramohan, D, Dicko, A, Zongo, I, Sagara, I, Cairns, M, Kuepfer, I, Diarra, M, Barry, A, Tapily, A, Nikiema, F, Yerbanga, S, Coumare, S, Thera, I, Traore, A, Milligan, P, Tinto, H, Doumbo, O, Ogobara, J and Greenwood, B (2020). AZ-SMC Trial - School child parasitaemia dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001934.
Chandramohan, D, Dicko, A, Zongo, I, Sagara, I, Cairns, M, Kuepfer, I, Diarra, M, Barry, A, Tapily, A, Nikiema, F, Yerbanga, S, Coumare, S, Thera, I, Traore, A, Milligan, P, Tinto, H, Doumbo, O, Ouedraogo, J and Greenwood, B (2020). AZ-SMC Trial - Cross-sectional dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001932.
Chandramohan, D, Dicko, A, Zongo, I, Sagara, I, Cairns, M, Kuepfer, I, Diarra, M, Barry, A, Tapily, A, Nikiema, F, Yerbanga, S, Coumare, S, Thera, I, Traore, A, Milligan, P, Tinto, H, Doumbo, O, Ouedraogo, J and Greenwood, B (2020). AZ-SMC Trial - Drug administration dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001931.
Chandramohan, D, Dicko, A, Zongo, I, Sagara, I, Cairns, M, Kuepfer, I, Diarra, M, Barry, A, Tapily, A, Nikiema, F, Yerbanga, S, Coumare, S, Thera, I, Traore, A, Milligan, P, Tinto, H, Doumbo, O and Ouedraogo, J (2020). AZ-SMC Trial - In vivo treatment efficacy dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001935.
Chandramohan, D, Dicko, A, Zongo, I, Sagara, I, Cairns, M, Kuepfer, I, Diarra, M, Barry, A, Tapily, A, Nikiema, F, Yerbanga, S, Coumare, S, Thera, I, Traore, A, Milligan, P, Tinto, H, Doumbo, O, Ouedraogo, J and Greenwood, B (2020). AZ-SMC Trial - Person-Time dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001928.
Chandramohan, D, Dicko, A, Zongo, I, Sagara, I, Cairns, M, Kuepfer, I, Diarra, M, Barry, A, Tapily, A, Nikiema, F, Yerbanga, S, Coumare, S, Thera, I, Traore, A, Milligan, P, Tinto, H, Doumbo, O, Ouedraogo, J and Greenwood, B (2020). AZ-SMC Trial - Weekly survey dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001933.
Chandramohan, D, Dicko, A, Zongo, I, Sagara, I, Cairns, M, Kuepfer, I, Diarra, M, Barry, A, Tapily, A, Nikiema, F, Yerbanga, S, Coumare, S, Thera, I, Traore, A, Milligan, P, Tinto, H, Doumbo, O, Ouedraogo, J and Greenwood, B (2020). Data repository for AZ-SMC - a trial of seasonal malaria chemoprevention combined with azithromycin in African children. [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/data.00001752.
Checchi, F (2020). francescochecchi/aden_covid. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://github.com/francescochecchi/aden_covid
Clifford, S and Quilty, B (2020). cmmid/pcr_test_trace. [Data Collection]. Github. https://github.com/cmmid/pcr_test_trace
Clifford, S, Quilty, BJ, Russell, TW, Liu, Y, Chan, YD, Pearson, CAB, Eggo, RM, Endo, A, CMMID COVID-19 Working Group, Flasche, S and Edmunds, WJ (2020). cmmid/travel_screening_strategies. [Data Collection]. Github. https://github.com/cmmid/travel_screening_strategies
Clifford, S, Quilty, B, CMMID nCoV working group, Pearson, C, Flasche, S and Eggo, RM (2020). Effectiveness of airport-based interventions at detecting travellers and delaying an outbreak of COVID-19 (formerly 2019-nCoV). [Data Collection]. Github. https://github.com/cmmid/screening_outbreak_delay
Colbourn, T, Waites, W, Manheim, D, Sturniolo, S, Kerr, CC, Panovska-Griffiths, J and Colbourn, G (2020). ptti/ptti: Modelling the health and economic impacts of different testing and tracing strategies for COVID-19 in the UK. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4298798
Coletti, P, Wambua, J, Gimma, A, Willem, L, Vercruysse, S, Vanhoutte, B, Jarvis, CI, Van zandvoort, K, Edmunds, WJ, Beutels, P and Hens, N (2020). CoMix social contact data (Belgium). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4035001
Coletti, P, Wambua, J, Gimma, A, Willem, L, Vercruysse, S, Vanhoutte, B, Jarvis, CI, Van Zandvoort, K, Edmunds, J, Beutels, P and Hens, N (2020). Social contact data from CoMix survey (Belgium). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4035001
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
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Davies, NG (2020). cmmid/covid-age. [Data Collection]. Github. https://github.com/cmmid/covid-age
Davies, NG (2020). nicholasdavies/covidm-alpha. [Data Collection]. Github. https://github.com/nicholasdavies/covidm-alpha
Davies, NG, Kucharski, AJ, Eggo, RM, Gimma, A, COVID-19 Working Group and Edmunds, WJ (2020). cmmid/covid-uk. [Data Collection]. Github. https://github.com/cmmid/covid-uk
Dawa, J, Emukule, GO, Barasa, E, Widdowson, MA, Anzala, O, Van Leeuwen, E, Baguelin, M, Chaves, SS and Eggo, RM (2020). Additional file 3 of Seasonal influenza vaccination in Kenya: an economic evaluation using dynamic transmission modelling. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.12831246.v1
Dawa, J, Emukule, GO, Barasa, E, Widdowson, MA, Anzala, O, Van leeuwen, E, Baguelin, M, Chaves, SS and Eggo, RM (2020). Additional file 1 of Seasonal influenza vaccination in Kenya: an economic evaluation using dynamic transmission modelling. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.12831240.v1
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Endo, A, Abbott, S, Kucharski, AJ and Funk, S (2020). Extended data: Estimating the overdispersion in COVID-19 transmission using outbreak sizes outside China. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3740348
Endo, A, Abbott, S, Kucharski, AJ and Funk, S (2020). akira-endo/COVID19_clustersize: Estimating the amount of superspreading using outbreak sizes of COVID-19 outside China. [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.3741744
Endo, A and Kucharski, AJ (2020). akira-endo/COVID19_backwardtracing. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4050267
Enria, L, Waterlow, N, Rogers, N, Brindle, H, Lal, S, Eggo, RM, Lees, S and Roberts, C (2020). Trust and Transparency in times of Crisis: Results from an Online Survey During the First Wave (April 2020) of the COVID-19 Epidemic in the UK. [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001860.
Enria, L, Waterlow, N, Rogers, N, Brindle, H, Lal, S, Eggo, RM, Lees, S and Roberts, C (2020). Trust and Transparency in times of Crisis: Results from an Online Survey During the First Wave (April 2020) of the COVID-19 Epidemic in the UK - Qualitative Data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001859.
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Fabian, ID, Stacey, A, Foster, A, Kivelä, TT, Munier, F, Cassoux, N and Bowman, R (2020). Global Retinoblastoma Presentation 2017 data, on behalf of the Global Retinoblastoma Study Group. [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.3727687
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.
Flasche, S (2020). StefanFlasche/Pneumo_Trans_Inf. [Data Collection]. Github. https://github.com/StefanFlasche/Pneumo_Trans_Inf
Frison, S (2020). Wasting prevention CHNRI dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001552.
Funk, S and Finger, F (2020). sbfnk/rbi.helpers. [Data Collection]. Github. https://github.com/sbfnk/rbi.helpers
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Gibbs, H, Abbott, S and Funk, S (2020). RtD3. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4011841
Gibbs, H, CMMID nCov Working Group, Eggo, RM, Grundy, C and Kucharski, AJ (2020). UK Colocation Dashboard. [Data Collection]. Github. https://cmmid.github.io/colocation_dashboard_cmmid/
Glynn, J (2020). Systematic analysis of infectious disease outcomes by age. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001787.
Gon, G (2020). CLEAN study dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001937.
Gon, G (2020). Data for "HANDS project - Hand-hygiene of Attendants for Newborn Deliveries and Survival". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001945.
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Hellewell, J (2020). cmmid/ringbp. [Data Collection]. Github. https://github.com/cmmid/ringbp
Hellewell, J, Abbott, S, Gimma, A, Bosse, N, Jarvis, C, Russell, T, Munday, J, Kucharski, A, Edmunds, WJ, Funk, S, Eggo, R, Sun, F, Flasche, S, Quilty, B, Davies, N, Liu, Y, Clifford, S, Klepac, P, Jit, M, Diamond, C, Gibbs, H and Van Zandvoort, K (2020). Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts. [Data Collection]. Github. https://github.com/cmmid/ringbp/
Hellewell, J, Lucas, T, Davis, E, Abbott, S, Gimma, A and Thompson, R (2020). timcdlucas/ringbp: Code as used in the paper "Engagement and adherence trade-offs for SARS-CoV-2 contact tracing". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4221774
Hellewell, J, Russell, TW, The SAFER Investigators and Field Study Team, The Crick COVID-19 Consortium, CMMID COVID-19 working group, Beale, R, Kelly, G, Houlihan, C, Nastouli, E and Kucharski, AJ (2020). cmmid/pcr-profile. [Data Collection]. Github. https://github.com/cmmid/pcr-profile
Hughes, R, Kitsao-Wekulo, P, Bhopal, S, Kimani-Murage, E, Hill, Z and Kirkwood, B (2020). The Nairobi Early Childcare in Slums (NECS) Study. [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001780.
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Jombart, T, Abbott, S, Gimma, A, Van zandvoort, K and Jarvis, C (2020). Inferring COVID-19 cases from recent death. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3733046
Jombart, T, Abbott, S, Gimma, A, Zandvoort, K, Clifford, S, Jarvis, C, Russell, T, Funk, S, Gibbs, H, Eggo, RM, Kucharski, AJ, CMMID COVID-19 Working Group and Edmunds, WJ (2020). Inferring COVID-19 cases from deaths of confirmed cases. [Data Collection]. CMMID Repository. https://cmmid.github.io/visualisations/inferring-covid19-cases-from-deaths
Jombart, T, Clifford, S, Pearson, Carl A. B. Pearson, Rees, E, Nightingale, E, Procter, S and Knight, G (2020). thibautjombart/covid19_bed_occupancy: Second major release. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3746662
Jombart, T, Kamvar, ZN, Collins, C, Luštrik, R, Beugin, M, Knaus, BJ, Solymos, P, Mikryukov, V, Schliep, K, Maié, T, Morkovsky, L, Ahmed, I, Cori, A, Calboli, F, Ewing, R, Michaud, F, DeCamp, R and Courtiol, A (2020). adegenet: Exploratory Analysis of Genetic and Genomic Data. [Data Collection]. The Comprehensive R Archive Network. https://cran.r-project.org/web/packages/adegenet/
Jombart, T, Nouvellet, P, Bhatia, S, Kamvar, ZN, Taylor, T and Ghozzi, S (2020). projections: Project Future Case Incidence. [Data Collection]. The Comprehensive R Archive Network. https://cran.r-project.org/package=projections
Jombart, T and Schumacher, D (2020). trendbreaker 0.1.0: Detect Changes in Temporal Trends. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3888493
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Kanjala, C, Glynn, JR and Fine, P (2020). Effect of repeat BCG on all-cause mortality: a double-blind randomised placebe-controlled trial in Malawi. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001872.
Kissler, SM, Klepac, P, Tang, M, Conlan, AJ and Gog, JR (2020). skissler/haslemere. [Data Collection]. Github. https://github.com/skissler/haslemere
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
Koltai, M (2020). sysbio-curie/exact-stoch-log-mod. [Data Collection]. GitHub. https://github.com/sysbio-curie/exact-stoch-log-mod
Krug, C, Lynch, C, Cavallaro, F and Wong, K (2020). Evaluating the informed push model intervention in Senegal. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001570.
Kucharski, AJ, Russell, TW, Diamond, C, CMMID nCoV working group, Funk, S and Eggo, RM (2020). Probability of a large 2019-nCoV outbreak following introduction of cases. [Data Collection]. Github. https://cmmid.github.io/visualisations/new-outbreak-probability
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Lawn, JE, Waiswa, P, Waiswa, JA, Kwesiga, D, Blencowe, H, Baschieri, A, Gordeev, VS and EN-INDEPTH Collaborator Group (2020). Every Newborn INDEPTH (EN-INDEPTH) Study - Additional Materials. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001556.
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