| Literature DB >> 35899864 |
Rikke Thoft Nielsen1, Tine Dalby1, Hanne-Dorthe Emborg1, Anders Rhod Larsen2, Andreas Petersen2, Mia Torpdahl2, Steen Hoffmann2, Lasse Skafte Vestergaard1, Palle Valentiner-Branth1.
Abstract
We aimed to descriptively analyse the possible impact of the national COVID-19 interventions on the incidence of common infectious diseases in Denmark during spring and summer 2020. This observational study focused on national register data on infections caused by 16 different bacterial and viral pathogens. We included new cases registered between 1 January 2016 and 31 July 2020. The weekly number of new cases were analysed with respect to the COVID-19-related interventions introduced during 2020. We found a marked decrease in infections associated with droplet transmission coinciding with the COVID-19 interventions in spring and summer 2020. These included decreases in both viral and bacterial airway infections and also decreases in invasive infections caused by Streptococcus pneumoniae, Haemophilus influenzae and Neisseria meningitidis. There was also a reduction in cases associated with foodborne transmission during the COVID-19 lockdown period. We found no effect of the lockdown on infections by invasive beta-haemolytic streptococci group B, C and G, Staphylococcus aureus bacteraemia, Neisseria gonorrhoeae or Clostridioides difficile. In conclusion, we found that the widespread interventions such as physical distancing, less travel, hygiene measures and lockdown of schools, restaurants and workplaces together coincided with a marked decline in respiratory infections and, to a smaller extent, some foodborne-transmitted infections.Entities:
Keywords: Bacterial infections; COVID-19; epidemiology; virus infection
Mesh:
Year: 2022 PMID: 35899864 PMCID: PMC9343452 DOI: 10.1017/S0950268822001145
Source DB: PubMed Journal: Epidemiol Infect ISSN: 0950-2688 Impact factor: 4.434
Overview of case definitions used for different pathogens in the national surveillance system
| Pathogen | Case definition | Data source and system of surveillance |
|---|---|---|
| First positive test within a season per individual | MiBa, all national cases. Number of diagnostic tests is available | |
| First positive test within a year per individual | MiBa, all national cases. Number of diagnostic tests is available | |
| Invasive | First isolate within 30 days per individual | Mandatory submission of isolates. |
| Invasive | First isolate within 30 days per individual | Mandatory submission for Hib, non-mandatory submission for other serotypes. |
| Invasive | First isolate or positive PCR test within 30 days per individual | Non-mandatory submission of isolates at a high coverage. |
| Invasive beta-haemolytic streptococci | First isolate within 30 days per individual | Non-mandatory submission of isolates at a high coverage |
| First positive test within 6 months per individual | All national cases from MiBa are collected in the Register of Enteric Pathogens maintained by SSI and updated with results from the reference laboratory's isolate database (non-mandatory submission) | |
| First positive test within 8 weeks per individual | All national cases from MiBa are collected in the Register of Enteric Pathogens maintained by SSI and updated with results from the reference laboratory's isolate database (non-mandatory submission) | |
| First isolate or positive PCR test within 21 days per individual | The reference laboratory's isolate database (non-mandatory submission at a high coverage) | |
| First isolate within 30 days per individual | The reference laboratory's isolate database (non-mandatory submission at a high coverage) | |
| Methicillin-resistant | First isolate within a year per individual | The reference laboratory's isolate database (non-mandatory submission at a high coverage) |
Fig. 1.A schematic overview of the COVID-19 interventions implemented in Denmark during the weeks 9–28, 2020.
Fig. 2.The number of cases per week and the cumulative number of cases for each year, 2016–2020. Black: year 2020; red: year 2019; orange: year 2018; green: year 2017; blue: year 2016. Left: number of confirmed cases per week. Right: cumulated number of confirmed cases per year.
Number of registered cases in the weeks 14–31 for the year 2020 compared to the years 2016–2019
| Pathogen | 2016–2019 | 2020 |
|---|---|---|
| Respiratory syncytial virus | 110–412 (301) | 69 |
| Rhinovirus | 164–501 (314) | 129 |
| Parainfluenza virus and metapneumovirus combined | 169–484 (297) | 0 |
| 353–1031 (573) | 159 | |
| 281–653 (461) | 278 | |
| Invasive | 181–221 (201) | 64 |
| Invasive | 31–38 (35) | 19 |
| Invasive | 11–15 (12) | 4 |
| Invasive beta-haemolytic streptococci, all | 240–330 (277) | 293 |
| Invasive beta-haemolytic streptococci, group A | 60–80 (71) | 20 |
| Invasive beta-haemolytic streptococci, group B, C and G | 160–250 (276) | 273 |
| 1532–1933 (1745) | 1216 | |
| 382–406 (393) | 188 | |
| 1624–1802 (1713) | 1589 | |
| 322–525 (421) | 378 | |
| 672–830 (742) | 755 | |
| Methicillin-resistant | 1049–1184 (1096) | 854 |
For 2016–2019, minimum, maximum and average for the period is shown as (min-max (average)). For C. difficile, the comparison period is 2018–2019.
Fig. 3.The number of tests and corresponding positive percentage for RSV, rhinovirus, metapneumovirus, parainfluenza virus and Mycoplasma pneumoniae, weeks 1–31, 2020. Grey bars: number of negative tests. Blue bars: number of positive tests. Red line: percentage of positive tests.