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Frontiers in Marine Science ; 2022.
Article in English | ProQuest Central | ID: covidwho-1725391


This paper presents an analysis of the effect of SARS-CoV-2 coronavirus pandemic and related restrictive measures on the activity of the Italian fleet of trawlers, which represents one of the most important fisheries in the Mediterranean Sea. We integrated multiple sources of information including: 1) fleet activity data from Vessel Monitoring System, the most important satellite-based tracking device;2) vessel-specific landing data disaggregated by species;3) market and economic drivers affecting the effort variation during the lockdown and in the related fishing strategies;4) monthly landings of demersal species in the main Italian harbours. These data sources are combined to: 1) assess the absolute and relative changes of trawling effort in the geographical sub-areas surrounding the Italian coasts;2) integrate and compare these changes with the market and economic drivers in order to explain the observed changes in fishing effort and strategy;3) analyse the changes of the fishing effort on the Landing-per-unit-effort (LPUE) in order to further understand the strategy adopted by fishers during this crisis and to infer the potential consequence for the different stocks. The results provide an overview of the effects of the “COVID-19 shock”, in terms of fishing activity and socio-economic drivers, demonstrating that the consequences of the pandemic have been very varied. Although the COVID-19 shock has caused a marked overall reduction in activity in the first semester of 2020, in some cases the strategies adopted by fishermen and the commercial network linked to their activity have significantly reduced the impact of the emergency and taken back catch and effort to levels similar to those of previous years. These results could provide insights for management measures based on fleet reduction and temporal stops.

EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-310203


Background: Restrictions to human mobility had a significant role in limiting SARS-CoV-2 spread. It has been suggested that environmental seasonality might affect viral transmissibility. Our study retrospectively investigates the combined effect that seasonal environmental factors and human mobility play on transmissibility of SARS-CoV-2 in Lombardy, in 2020.Methods: Environmental data were collected from accredited open-source web services. Aggregated mobility data for different points of interests were collected from Google Community Reports. Rt was used as a proxy for SARS-CoV-2 transmissibility. Assuming a non-linear correlation between selected variables, we used a Generalized Additive Model (GAM) to investigate with univariate and multivariate analyses the association between seasonal environmental factors (UV-index, temperature, humidity, and atmospheric pressure), location-specific mobility indices, and Rt .Findings: UV-index was the most effective environmental variable in predicting Rt . An optimal two-week lag-effect between changes in explanatory variables and Rt was selected. The association between Rt variations and individually taken mobility indices differed: Grocery & Pharmacy, Transit Station and Workplaces displayed the best performances in predicting Rt when individually added to the multivariate model together with UV-index, accounting for 85·0%, 85·5% and 82·6% of Rt variance, respectively.Interpretation: According to our results, both seasonality and social interaction policies played a significant role in curbing the pandemic. Non-linear models including UV-index and location-specific mobility indices can predict a considerable amount of SARS-CoV-2 transmissibility in Lombardy during 2020.Funding Statement: The authors did not receive any specific funding for this manuscript.Declaration of Interests: MF is editor-in-chief of the Journal of Neurology;received compensation for consulting services and speaking activities from Biogen Idec, Merck-Serono, Novartis, Teva Pharmaceutical Industries;and receives research support from Biogen Idec, Merck-Serono, Novartis, Teva Pharmaceutical Industries, Roche, the Italian Ministry of Health, Fondazione Italiana Sclerosi Multipla, and ARiSLA (Fondazione Italiana di Ricerca per la SLA). YMF, LB, GS, TR and MV declare no competing interests.

BMC Infect Dis ; 21(1): 350, 2021 Apr 15.
Article in English | MEDLINE | ID: covidwho-1186555


BACKGROUND: The SARS-CoV-2 infection has emerged as a rapidly spreading infection. Today it is relatively easy to isolate Covid-19 symptomatic cases, while remains problematic to control the disease spread by infected but symptom-free individuals. The control of this possible path of contagion requires drastic measures of social distancing, which imply the suspension of most activities and generate economic and social issues. This study is aimed at estimating the percentage of asymptomatic SARS-CoV-2 infection in a geographic area with relatively low incidence of Covid-19. METHODS: Blood serum samples from 388 healthy volunteers were analyzed for the presence of anti-SARS-CoV-2 IgG by using an ELISA assay based on recombinant viral nucleocapsid protein. RESULTS: We found that 7 out of 388 healthy volunteers, who declared no symptoms of Covid-19, like fever, cough, fatigue etc., in the preceding 5 months, have bona fide serum anti-SARS-CoV-2 IgG, that is 1.8% of the asymptomatic population (95% confidence interval: 0.69-2.91%). CONCLUSIONS: The estimated range of asymptomatic individuals with anti-SARS-CoV-2 IgG should be between 26,565 and 112, 350. In the same geographic area, there are 4665 symptomatic diagnosed cases.

Antibodies, Viral/blood , Asymptomatic Infections , COVID-19/epidemiology , Adult , Aged , Humans , Immunoglobulin G/blood , Incidence , Italy/epidemiology , Middle Aged , Young Adult