Simon Dellicour

Dr. Simon Dellicour

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 September 2020 in Science
Verified
Journal Article
Open access
DCDarlan S. Candido
Darlan S. Candido
ICIngra M. Claro
Ingra M. Claro
JJJaqueline de Jesus
Jaqueline de Jesus
William SouzaWilliam Souza
William Souza
FMFilipe Moreira
Filipe Moreira
NFNuno Rodrigues Faria
Nuno Rodrigues Faria
The spread of SARS-CoV-2 in Brazil: Brazil has been hard-hit by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. Candido et al. combined genomic and epidemiological analyses to investigate the impact of nonpharmaceutical interventions (NPIs) in the country. By setting up a network of genomic laboratories using harmonized protocols, the researchers found a 29% positive rate for SARS-CoV-2 among collected samples. More than 100 international introductions of SARS-CoV-2 into Brazil were identified, including three clades introduced from Europe that were already well established before the implementation of NPIs and travel bans. The virus spread from urban centers to the rest of the country, along with a 25% increase in the average distance traveled by air passengers before travel bans, despite an overall drop in short-haul travel. Unfortunately, the evidence confirms that current interventions remain insufficient to keep virus transmission under control in Brazil. Science , this issue p. 1255

12 April 2017 in Nature
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Journal Article
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GDGytis Dudas
Gytis Dudas
LCLuiz Max Carvalho
Luiz Max Carvalho
TBTrevor Bedford
Trevor Bedford
ATAndrew J. Tatem
Andrew J. Tatem
GBGuy Baele
Guy Baele
ARAndrew Rambaut
Andrew Rambaut

31 August 2018 in Science
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Journal Article
Open access
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NFNuno Rodrigues Faria
Nuno Rodrigues Faria
MKM. U. G. Kraemer
M. U. G. Kraemer
SHSarah C. Hill
Sarah C. Hill
JJJaqueline de Jesus
Jaqueline de Jesus
RARenato Aguiar
Renato Aguiar
OPO. G. Pybus
O. G. Pybus
Arbovirus risk in Brazil: Despite the existence of an effective vaccine for yellow fever, there are still almost 80,000 fatalities from this infection each year. Since 2016, there has been a resurgence of cases in Africa and South America—and this at a time when the vaccine is in short supply. The worry is that yellow fever will spread from the forests to the cities, because its vector, Aedes spp. mosquitoes, are globally ubiquitous. Faria et al. integrate genomic, epidemiological, and case distribution data from Brazil to estimate patterns of geographic spread, the risks of virus exposure, and the contributions of rural versus urban transmission (see the Perspective by Barrett). Currently, the yellow fever epidemic in Brazil seems to be driven by infections acquired while visiting forested areas and indicates spillover from susceptible wild primates. Science , this issue p. 894 ; see also p. 847

30 May 2018 in Molecular Ecology Resources
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Journal Article
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SDSimon Dellicour
Simon Dellicour
JFJean-François Flot
Jean-François Flot

24 February 2020 in Journal of Clinical Investigation
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Journal Article
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ACAntoine Chaillon
Antoine Chaillon
SWSara Gianella Weibel
Sara Gianella Weibel
SDSimon Dellicour
Simon Dellicour
SRStephen Rawlings
Stephen Rawlings
TSTimothy E. Schlub
Timothy E. Schlub
DSDavey M. Smith
Davey M. Smith
BACKGROUND. Understanding HIV dynamics across the human body is important for cure efforts. This goal has been hampered by technical difficulties and the challenge of obtaining fresh tissues. METHODS. This observational study evaluated 6 individuals with HIV (n = 4 with viral suppression using antiretroviral [ART] therapy; n = 2 with rebound viremia after stopping ART), who provided serial blood samples before death and their bodies for rapid autopsy. HIV reservoirs were characterized by digital droplet PCR, single-genome amplification, and sequencing of full-length (FL) envelope HIV. Phylogeographic methods were used to reconstruct HIV spread, and generalized linear models were tested for viral factors associated with dispersal. RESULTS. Across participants, HIV DNA levels varied from approximately 0 to 659 copies/106 cells (IQR: 22.9–126.5). A total of 605 intact FL env sequences were recovered in antemortem blood cells and across 28 tissues (IQR: 5–9). Sequence analysis showed (a) the emergence of large, identical, intact HIV RNA populations in blood after cessation of therapy, which repopulated tissues throughout the body; (b) that multiple sites acted as hubs for HIV dissemination but that blood and lymphoid tissues were the main source; (c) that viral exchanges occurred within brain areas and across the blood-brain barrier; and (d) that migration was associated with low HIV divergence between sites and greater diversity at the recipient site. CONCLUSION. HIV reservoirs persisted in all deep tissues, and blood was the main source of dispersal. This may explain why eliminating HIV susceptibility in circulating T cells via bone marrow transplants allowed some individuals with HIV to experience therapy-free remission, even though deeper tissue reservoirs were not targeted. TRIAL REGISTRATION. Not applicable. FUNDING. NIH grants P01 AI31385, P30 AI036214, AI131971-01, AI120009AI036214, HD094646, AI027763, AI134295, and AI68636.

22 July 2021 in Science
Verified
Journal Article
Open access
MKMoritz U. G. Kraemer
Moritz U. G. Kraemer
VHVerity Hill
Verity Hill
CRChristopher Ruis
Christopher Ruis
SDSimon Dellicour
Simon Dellicour
SBSumali Bajaj
Sumali Bajaj
OPOliver G. Pybus
Oliver G. Pybus
Fueling outbreaks: The B.1.1.7 lineage of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused fast-spreading outbreaks globally. Intrinsically, this variant has greater transmissibility than its predecessors, but this capacity has been amplified in some circumstances to tragic effect by a combination of human behavior and local immunity. What are the extrinsic factors that help or hinder the rapid dissemination of variants? Kraemer et al . explored the invasion dynamics of B.1.1.7. in fine detail, from its location of origin in Kent, UK, to its heterogenous spread around the country. A combination of mobile phone and virus data including more than 17,000 genomes shows how distinct phases of dispersal were related to intensity of mobility and the timing of lockdowns. As the local outbreaks grew, importation from the London source area became less important. Had B.1.1.7. emerged at a slightly different time of year, its impact might have been different. —CA