Belman Lab

Sophie Belman

Infectious Disease Epidemiologist

Assistant Professor

Department of Environmental Health Sciences

Yale School of Public Health

Publications

Selected publications

  1. 2026

    Sophie Belman, Cebile Lekhuleni, Jackie Kleynhans, Giovenale Moirano, Daniela Lührsen, Cristina Carnerero et al.

    Nature Microbiology · 2026

    doi:10.1038/s41564-026-02458-5

    Relative risk plotted against temperature (a), absolute and relative humidity (b), and concentrations of PM2.5, PM10 and sulfur dioxide (c), as curves with shaded uncertainty bands.
    Figure 2. a,b, Meteorological models. a, Exposure–response curves for maximum (pink), mean (yellow) and minimum (blue) temperature in °C. b, Exposure–response curves for absolute humidity (g m−3) (left) and % relative humidity (right). c, Air pollution models. Exposure–response curves for PM2.5 (left) PM10 (middle) or sulfur dioxide (SO2) (right) including models with combinations of meteorological covariates (temperature metrics with linear formulations and humidity metrics with nonlinear formulations): maximum temperature (red), mean temperature (yellow), absolute humidity and mean temperature (light blue), relative humidity and mean temperature (dark blue), and none (black) with 3-week lags for humidity and no lag for temperature. These models were fitted to weekly district-level data from 2005 to 2019 across South Africa. The DLNM cross-basis for the humidity variables has 3 degrees of freedom, while the rest of the DLNMs have 2 degrees of freedom. At the bottom of a–c are rug plots with the distribution of the variables in the DLNM. In a, the rug plot is for mean temperature. Shading represents 95% credible intervals and points indicate the median.
  2. 2024

    Sophie Belman, Henri Pesonen, Nicholas J Croucher, Stephen D Bentley, Jukka Corander, M-A Félix

    G3: Genes, Genomes, Genetics · 2024

    doi:10.1093/g3journal/jkae058

    Migration between Kenya, Malawi, South Africa and The Gambia: scaled parameter distributions across lineages for each pair of countries (a), and heatmaps of directional migration probability from each origin to each destination for six lineages, GPSC2, 5, 8, 10, 22 and 26 (b).
    Figure 3a, b. Migration parameters summary estimates. a, The scaled distribution of migration probabilities for each deme across GPSCs grouped by deme pair and colored according to country of origin and shaped according to destination. b, Migration parameters directional probability estimates between each deme pair. Colored by the probability of migration between each deme pair. Where red is >50% migration probability and blue is <50% migration probability.
  3. 2024

    Sophie Belman, Noémie Lefrancq, Susan Nzenze, Sarah Downs, Mignon du Plessis, Stephanie W. Lo et al.

    Nature · 2024

    doi:10.1038/s41586-024-07626-3

    Phylogenetic tree of South African pneumococcal isolates with the GPSC1 and GPSC5 lineages enlarged beside serotype and province colour bars.
    Figure 1a. Phylogenetic tree of 6,910 South African isolates included in this study. Dominant GPSCs (n > 50) are in purple. GPSC1 (top) and GPSC5 (bottom) are highlighted. The columns describe the serotypes and provincial region for each isolate. The branch length legends refer to single nucleotide polymorphisms (SNPs) per site and trees are midpoint rooted.

All publications

  1. 2026

    Chloe Fletcher, Sophie Belman, Kien Quoc Do, Quang Duy Pham, Thi Thanh Thao Nguyen, Rory Gibb et al.

    2026Preprint

    doi:10.64898/2026.09.19.26363468

  2. 2026

    Rory Cave, James Chirombo, Uri Obolski, Sophie Belman, Akuzike Kalizang'oma, Thandie S. Mwalukomo et al.

    Microbial Genomics · 2026

    doi:10.1099/mgen.0.001667

  3. 2026

    Sophie Belman, Cebile Lekhuleni, Jackie Kleynhans, Giovenale Moirano, Daniela Lührsen, Cristina Carnerero et al.

    Nature Microbiology · 2026

    doi:10.1038/s41564-026-02458-5

  4. 2024

    Sophie Belman, Henri Pesonen, Nicholas J Croucher, Stephen D Bentley, Jukka Corander, M-A Félix

    G3: Genes, Genomes, Genetics · 2024

    doi:10.1093/g3journal/jkae058

  5. 2024

    Hsueh-Chien Raymond Cheng, Sophie Belman, Henrik Salje, Ron Dagan, Stephen D. Bentley

    Microbial Genomics · 2024

    doi:10.1099/mgen.0.001262

  6. 2024

    Sophie Belman, Noémie Lefrancq, Susan Nzenze, Sarah Downs, Mignon du Plessis, Stephanie W. Lo et al.

    Nature · 2024

    doi:10.1038/s41586-024-07626-3

  7. 2023

    Paulina A. Hawkins, Sopio Chochua, Stephanie W. Lo, Sophie Belman, Martin Antonio, Brenda Kwambana-Adams et al.

    Microbial Genomics · 2023

    doi:10.1099/mgen.0.000998

  8. 2023

    Geographic Migration and Evolution of Streptococcus pneumoniae

    Sophie Belman

    PhD thesis, University of Cambridge · 2023

  9. 2022

    Sophie Belman, Chrispin Chaguza, Narender Kumar, Stephanie Lo, Stephen D. Bentley

    Microbial Genomics · 2022

    doi:10.1099/mgen.0.000753

  10. 2022

    Stephanie W Lo, Kate Mellor, Robert Cohen, Alba Redin Alonso, Sophie Belman, Narender Kumar et al.

    The Lancet Microbe · 2022

    doi:10.1016/s2666-5247(22)00158-6

  11. 2022

    Sophie Belman, Sona Soeng, Chansovannara Soputhy, Rebecca Gladstone, Paulina A. Hawkins, Robert F. Breiman et al.

    Microbial Genomics · 2022

    doi:10.1099/mgen.0.000837

  12. 2021

    Sophie Belman, Jessica A. Walsh, Courtney Carroll, Michael Milliken, Benjamin Haaland, Kristina Callis Duffin et al.

    The Journal of Rheumatology · 2021

    doi:10.3899/jrheum.201123

  13. 2021

    Nature Reviews Microbiology · 2021

    doi:10.1038/s41579-021-00664-y

  14. 2020

    Genetics in medicine : official journal of the American College of Medical Genetics · 2020

    doi:10.1038/s41436-020-0920-4