Literature DB >> 35123142

Are symptoms associated with SARS-CoV-2 infections evolving over time?

M Ricco1, M Valente2, F Marchesi2.   

Abstract

Entities:  

Keywords:  COVID-19; SARS-CoV-2; Signs and symptoms

Mesh:

Year:  2022        PMID: 35123142      PMCID: PMC8809638          DOI: 10.1016/j.idnow.2022.01.006

Source DB:  PubMed          Journal:  Infect Dis Now        ISSN: 2666-9919


× No keyword cloud information.
Google Trends (GT), the open online tool developed by Google™ (Google Inc., Mountain View, CA, US) for infoveillance (i.e. syndromic surveillance that specifically uses information found online), has been extensively employed as a complement to conventional analyses [1], particularly during the ongoing SARS-CoV-2 pandemic [1], [2], [3]. GT does not quantify queries on a specific search term. It rather reports the users’ web interest in a specific keyword through a normalized value ranging from 0 to 100 (i.e. “relative search volume”, RSV), proportional to the ratio between the keyword-related queries and the total of web queries [1]. The search can also be focused on a specific geographical area and a specific timeframe, allowing for more accurate comparisons with conventional indicators [1], [2], [3]. For instance, a recent preprint based on a RSV analysis performed on UK data for the month of December 2021 [4] suggested that the recently emerged SARS-CoV-2 variant of concern (VOC) B.1.1.529 (i.e. “Omicron”) may have elicited a marked increase in Google searches for symptoms such as conjunctivitis, chills, cough, aches, and fever compared to December 2020. Not coincidentally, there is evidence showing that Omicron may be associated with an increased prevalence of symptoms such as sore throat, fever, and cough with a marked reduction in reporting of loss of smell and taste in PCR-positive individuals [5]. Following the progressive spread of Omicron to other European countries, including Italy, we performed a GT-based RSV using a series of keywords (Table 1 ) derived from the aforementioned reports, plus the keyword “insomnia” [4], [5], [6].
Table 1

Search terms (Google Trends®) for signs and symptoms potentially associated with SARS-CoV-2 infection, reported by their correlation with corresponding 7-day average notification rates (Spearman's correlation tests) and the mean difference 2020 (i.e. December 1, 2020 to January 16, 2021) vs. 2021 (December 1, 2021 to January 16, 2022) (Student's t test).

Search termsCorrelation with the 7-day average of notification ratesMean difference2020 vs. 2021
RP value%95% CIP value
Ageusia0.703< 0.001+ 5.0− 5.8 to 15.70.358
Anosmia0.705< 0.001− 6.5%− 17.7 to 4.80.254
Asthenia0.480< 0.001+ 7.0%− 3.4 to 17.40.182
Shivers/chills0.271< 0.001+ 11.5%2.6 to 20.30.012
Conjunctivitis/red eye0.0910.142− 17.7%− 27.5 to – 8.0< 0.001
Diarrhea0.271< 0.001− 1.4%− 7.8 to 5.00.666
Dyspnea0.567< 0.001− 3.5%− 14.1 to 7.20.518
Pain/aches0.234< 0.001+ 7.8%3.8 to 11.8< 0.001
Fever0.434< 0.001− 3.6%− 10.6 to 3.40.310
Sore throat0.0530.394− 10.2%− 17.2 to 3.20.005
Headaches0.501< 0.001− 8.9%− 16.2 to 1.70.016
Nausea0.1430.021+ 6.6%− 0.5 to 13.60.069
Coryza/runny nose0.489< 0.001+ 3.5%− 8.7 to 15.60.572
Cough− 0.0870.160+ 4.4%− 1.5 to 10.20.146
Insomnia− 0.0840.178+ 0.6%− 6.6 to 7.80.875
Search terms (Google Trends®) for signs and symptoms potentially associated with SARS-CoV-2 infection, reported by their correlation with corresponding 7-day average notification rates (Spearman's correlation tests) and the mean difference 2020 (i.e. December 1, 2020 to January 16, 2021) vs. 2021 (December 1, 2021 to January 16, 2022) (Student's t test). To better cope with the background RSVs for symptoms that may be associated with common respiratory disorders, we used country option set to “Italy” – the first European country to be heavily impacted by the SARS-CoV-2 pandemic – while we opted for a broader search period (January 1, 2017–January 16, 2022). Corresponding RSVs are reported in Fig. 1 . Interestingly enough, symptoms such as anosmia and ageusia, but also conjunctivitis and dyspnea were characterized by a sustained surge in 2020, with a subsequent decrease in the following months. On the contrary, symptoms such as asthenia, coryza, sore throat, cough, diarrhea, headache, and nausea exhibited a sustained increase in 2021 compared to 2020. Despite significant outliers during the first months of the pandemic (i.e. spring 2020), visual inspection suggests that keywords such as cough, sore throat and even conjunctivitis (i.e. very common symptoms of upper airway infections) were associated with a COVID-19-independent seasonal trend, which was still ongoing at the time of the survey.
Fig. 1

Time trend of search terms (January 1, 2017–January 16, 2022).

Time trend of search terms (January 1, 2017–January 16, 2022). When RSVs were compared with the 7-day mobile average for notification rates for SARS-CoV-2 (https://github.com/pcm-dpc/COVID-19/blob/master/dati-andamento-nazionale/dpc-covid19-ita-andamento-nazionale.csv), a positive correlation calculated using Spearman's rank correlation coefficient was identified for all assessed search terms but conjunctivitis, sore throat, cough, and insomnia (Table 1). This stresses their substantial independence from the overall trend of the pandemic. Eventually, RSVs for the timeframe December 1–January 16 were compared between the years 2020 and 2021 by means of Student's t test. An heterogeneous pattern was identified, with increased RSV for shivers/chills (+ 11.5%, P  = 0.012), pain/aches (+ 7.8%, P  < 0.001) and a substantial decrease for conjunctivitis (– 17.7%, P  < 0.001), and even for sore throat (– 10.2%, P  = 0.005) and headaches (– 8.9%, P  = 0.016). However, no significant difference was scored for ageusia (+ 5.0%, P  = 0.358) and anosmia (– 6.5%, P  = 0.254) as the Omicron VOC modified these clinical presentations compared to previous variants. Our results are not only inconsistent with the previous report by Lippi et al. [4], but they also show limited consistency with available conventional studies on the Omicron VOC [5]. Several explanations may be suggested. First of all, available reports suggest that in December 2021, nearly 80% of British SARS-CoV-2 cases were associated with the Omicron VOC, while similar figures in Italy were only attained in the second week of January [5], [6]. The Omicron VOC causes different clinical features, which in turn result in a different Internet search pattern, but a certain delay in RSV should be expected. Second, despite its potential significance, the predictive value of GT-based RSV analyses has been questioned by some studies [1], [2] as they can be influenced by main media [1], [7]. Not coincidentally, Fig. 1 suggests that some of the search terms were associated with substantial outliers during the first months of the pandemic. While cough and sore throat were reasonable queries based on the most common symptoms of SARS-CoV-2 infections, more conflicting evidence suggests the association between COVID-19 and specific ophthalmologic manifestations. Even though ocular pain (31.2%) and eye discharge (19.2%) may be quite common features in SARS-CoV-2 cases [8], redness and conjunctivitis are reported by around 1/10 of all cases, being relatively uncommon and unspecific signs. The sudden surge of new Internet searches may have actually been prompted by earlier claims [8]. In other words, earlier claims about the specificities of the Omicron VOC, and more specifically the higher occurrence of mild flu-like symptoms, may have prompted similar Internet searches in the UK, eventually impairing the reliability of overall estimates. Furthermore, it should be stressed that 2021 has been characterized by an unprecedented surge of infections sustained by the respiratory syncytial virus, mainly in children, newborns, and institutionalized elderly people [9], [10]. Most search terms were characterized by a substantial seasonal trend, which in turn is reasonably associated with seasonal infectious diseases. We therefore cannot rule out that diseases other than SARS-CoV-2 may have influenced RSV estimates (either directly or indirectly) by interfering with the basal Internet searches. In conclusion, even though our analysis showed interesting differences between RSV for symptoms potentially associated with SARS-CoV-2, GT-based surveys cannot reasonably sustain claims for a progressive evolution of symptoms over time. More extensive, conventional studies are required.

Disclosure of interest

The authors declare that they have no competing interest.

Ethical approval

All procedures performed in studies involving human partic-pants were in accordance with the 1964 Helsinki declaration and its later amendments.
  7 in total

1.  Is Google Trends a reliable tool for digital epidemiology? Insights from different clinical settings.

Authors:  Gianfranco Cervellin; Ivan Comelli; Giuseppe Lippi
Journal:  J Epidemiol Glob Health       Date:  2017-06-09

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4.  Modeling the onset of symptoms of COVID-19: Effects of SARS-CoV-2 variant.

Authors:  Joseph R Larsen; Margaret R Martin; John D Martin; James B Hicks; Peter Kuhn
Journal:  PLoS Comput Biol       Date:  2021-12-16       Impact factor: 4.475

5.  Reliability of Google Trends: Analysis of the Limits and Potential of Web Infoveillance During COVID-19 Pandemic and for Future Research.

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Journal:  PLoS One       Date:  2020-11-05       Impact factor: 3.240

7.  The Epidemiology of Respiratory Syncytial Virus in New York City during the Coronavirus Disease-2019 Pandemic Compared with Previous Years.

Authors:  Katia C Halabi; Lisa Saiman; Philip Zachariah
Journal:  J Pediatr       Date:  2021-10-30       Impact factor: 4.406

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