Related Experiment Video
Updated: Dec 6, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
Published on: November 10, 2023
Different pattern of the second outbreak of COVID-19 in Marseille, France
Philippe Gautret1, Philippe Colson2, Jean Christophe Lagier2
1IHU Méditerranée Infection, 19-21 boulevard Jean Moulin, 13005 Marseille, France; Aix Marseille Univ, Institut de Recherche pour le Développement (IRD), Assistance Publique - Hôpitaux de Marseille (AP-HM), Service de Santé des Armées (SSA), Vecteurs - Infections Tropicales et Méditerranéennes (VITROME), Marseille, France.
Objective:
To describe the characteristics of COVID-19 patients seen in March-April and June-August 2020 in Marseille, France with the aim to investigate possible changes in the disease between these two time periods.
Methods:
Demographics, hospitalization rate, transfer to intensive care unit (ICU), lethality, clinical and biological parameters were investigated.
Results:
Compared to those seen in March-April, COVID-19 patients seen in June-August were significantly younger (39.2 vs. 45.3 years), more likely to be male (52.9% vs. 45.6%), and less likely to be hospitalized (10.7 vs. 18.0%), to be transferred to ICU (0.9% vs. 1.8%) and to die (0.1% vs. 1.1%). Their mean fibrinogen and D-dimer blood levels were lower (1.0 vs. 1.5 g/L and 0.6 vs. 1.1 μg/mL, respectively). By contrast, their viral load was higher (cycle threshold ≤16 = 5.1% vs. 3.7%).
Conclusions:
Patients in the two periods did not present marked age and sex differences, but markers of severity were undoubtedly less prevalent in the summer period, associating with a 10 times decrease in the lethality rate.
Insights
COVID-19 patients in summer 2020 were younger, more male, and had lower severity markers than those in spring. This shift correlated with a tenfold decrease in COVID-19 lethality, indicating a milder disease presentation over time.
Area of Science:
- Infectious Diseases
- Epidemiology
- Virology
Background:
- The COVID-19 pandemic presented evolving clinical characteristics and patient demographics since its emergence.
- Understanding temporal shifts in disease presentation is crucial for public health preparedness and clinical management.
Purpose of the Study:
- To compare the clinical and demographic characteristics of COVID-19 patients in Marseille, France, during two distinct periods in 2020: March-April and June-August.
- To identify any changes in disease severity and patient outcomes between these timeframes.
Main Methods:
- Retrospective analysis of patient data including demographics, hospitalization rates, intensive care unit (ICU) transfers, and lethality.
- Evaluation of clinical and biological parameters such as fibrinogen, D-dimer levels, and viral load (cycle threshold).
Main Results:
- Patients in June-August were younger (mean 39.2 vs. 45.3 years) and more frequently male (52.9% vs. 45.6%) compared to March-April.
- Hospitalization (10.7% vs. 18.0%), ICU transfer (0.9% vs. 1.8%), and death (0.1% vs. 1.1%) rates were significantly lower in the summer period.
- Lower mean fibrinogen and D-dimer levels were observed in summer patients, alongside a higher viral load (CT ≤16: 5.1% vs. 3.7%).
Conclusions:
- While age and sex distributions showed minor differences, markers of COVID-19 severity were less prevalent in the summer of 2020.
- A substantial decrease in lethality (approximately tenfold) was associated with the milder disease presentation observed in the later period.
More Related Videos
Related Concept Videos
Patterns of Fever
Steps in Outbreak Investigation
Infection
The chain begins with pathogens: bacteria, viruses, fungi, prions, or parasites such as protozoa helminths. These can be present on the skin as transient or resident flora, or they can be acquired from the environment. Identifying and treating the type of infection and...
Principles of Disease Surveillance
Prevalence and Incidence
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Pareto Chart
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...

