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Arnau Pujol

Arnau Pujol

Junior Research Leader Malaria and Neglected Parasitic Diseases

Arnau Pujol's scientific career has combined two different but complementary fields: cosmology and malaria epidemiology. With a degree in Physics and a Master in High Energy Physics, Astrophysics and Cosmology at Universitat Autònoma de Barcelona (UAB), Arnau Pujol obtained his PhD on Physics (Cosmology) at the Institute of Space Sciences (IEEC-CSIC) in Barcelona. After conducting two postdoctoral positions at CEA Saclay (France) and the Institute of Space Sciences with a focus on cosmology with machine learning, he moved to ISGlobal with a Marie-Sklodowska Curie Individual Fellowship to work on malaria epidemiology.

He is currently working in the Malaria Physiopathology group with a la Caixa Junior Leader Retaining Fellowship. His research on malaria has focused on the statistical analysis and modelling of malaria transmission, including the study of spatio-temporal patterns of malaria transmission in pregnant women in southern Mozambique and modelling malaria transmission and importation combining epidemiological, mobility and parasite genomic data. 

Lines of research

  • Strengthening malaria surveillance through routine testing of pregnant women at antenatal care visits. 
  • Spatial and temporal patterns of malaria transmission
  • Malaria genomics for population analysis and importation
  • Geospatial modelling of malaria transmission dynamics

Main publications

  • da Silva C., Matambisso G., Boene S. et al. 2024, Plasmodium falciparum molecular surveillance to inform the Mozambican National Malaria Control Program strategy: Protocol, BMJ Open, 14(11):e092590, DOI: 10.1136/bmjopen-2024-092590.
  • Brokhattingen N., Matambisso G., da Silva C., et. al, 2024, Genomic malaria surveillance of antenatal care users detects reduced transmission following elimination interventions in Mozambique, Nature Communications, Volume 16, 2402, 12pp., DOI: 10.1038/s41467-024-46535-x.
  • Pujol A., Brokhattingen N., Matambisso G., et al. 2023, Detecting temporal and spatial malaria patterns from first antenatal care visits, Nature Communications, Volume 14, 4004, 11 pp. DOI: 10.1038/s41467-023-39662-4.
  • da Silva C., Boene S., Datta D., et al. 2023, Targeted and whole-genome sequencing reveal a north-south divide in P. falciparum drug resistance markers and genetic structure in Mozambique, Communications Biology, Volume 6, 619, 11 pp. DOI: 10.1038/s42003-023-04997-7.
  • A. Pujol, M. Kilbinger, F. Sureau et al. 2019, A highly precise shear bias estimator independent of the measured shape noise, Astronomy&Astrophysics, 621, 2
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