Estimating the impact of influenza on the epidemiological dynamics of SARS-CoV-2

被引:8
作者
de Celles, Matthieu Domenech [1 ]
Casalegno, Jean-Sebastien [2 ,3 ]
Lina, Bruno [2 ,3 ]
Opatowski, Lulla [4 ,5 ]
机构
[1] Max Planck Inst Infect Biol, Infect Dis Epidemiol Grp, Berlin, Germany
[2] Hop Croix Rousse, CNR Virus Transmiss Resp Dont Grippe, IAI, Lab Virol HCL, F-69317 Lyon 04, France
[3] Univ Lyon, Ctr Int Rech Infectiol CIRI, ENS Lyon, Virpath,CNRS UMR 5308,Inserm U1111,UCBL, F-69372 Lyon, France
[4] Univ Paris Sud, Univ Paris Saclay, Antiinfect Evas & Pharma Coepidemiol Team, INSERM,UVSQ,CESP, Montigny Le Bretonneux, France
[5] Inst Pasteur, Epidemiol & Modelling Evas Antibiot, Paris, France
关键词
SARS-CoV-2; COVID-19; Influenza; Virus-virus interaction; Mathematical modeling; PANDEMIC INFLUENZA; COVID-19; INFERENCE; DISEASE; MODELS; VIRUS; WAVE; COINFECTION; INFECTION; FRANCE;
D O I
10.7717/peerj.12566
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
As in past pandemics, co-circulating pathogens may play a role in the epidemiology of coronavirus disease 2019 (COVID-19), caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In particular, experimental evidence indicates that influenza infection can up-regulate the expression of ACE2-the receptor of SARS-CoV-2 in human cells-and facilitate SARS-CoV-2 infection. Here we hypothesized that influenza impacted the epidemiology of SARS-CoV-2 during the early 2020 epidemic of COVID-19 in Europe. To test this hypothesis, we developed a population-based model of SARS-CoV-2 transmission and of COVID-19 mortality, which simul-taneously incorporated the impact of non-pharmaceutical control measures and of influenza on the epidemiological dynamics of SARS-CoV-2. Using statistical inference methods based on iterated filtering, we confronted this model with mortality incidence data in four European countries (Belgium, Italy, Norway, and Spain) to systematically testa range of assumptions about the impact of influenza. We found consistent evidence for a 1.8-3.4-fold (uncertainty range across countries: 1.1 to 5.0) average population-level increase in SARS-CoV-2 transmission associated with influenza during the period of co-circulation. These estimates remained robust to a variety of alternative assumptions regarding the epidemiological traits of SARS-CoV-2 and the modeled impact of control measures. Although further confirmatory evidence is required, our results suggest that influenza could facilitate the spread and hamper effective control of SARS-CoV-2. More generally, they highlight the possible role of co-circulating pathogens in the epidemiology of COVID-19.
引用
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页数:22
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