Literature DB >> 33768443

An analysis of patient self-reported COVID-19 symptoms during the first wave of the pandemic in Ireland.

Claire Gibbons1, Mouzzam Hussain2, Derek T O'Keeffe3, Andrew J Simpkin3.   

Abstract

BACKGROUND: Since the outbreak of COVID-19 in December 2019, there have been more than 115 million cases worldwide (1). Symptoms of COVID-19 vary widely and the spectrum of clinical presentation has yet to be fully characterised (2). Many countries have detailed their early experience with COVID-19, with a focus on the clinical characteristics of the disease. However, to our knowledge, there has been no such study detailing symptoms in the Irish population. AIM: Our aim is to describe COVID-19 symptoms in the Irish population at the beginning of the COVID-19 pandemic and compare symptoms between those reporting positive and negative test results.
METHOD: A Web page MyCovidSymptoms.ie was created by researchers at the National University of Ireland, Galway, in April 2020 to investigate COVID-19 symptoms in Ireland. The Web page invited participants to self-report RT-PCR test outcome data (positive, negative, untested), temperature and a range of symptoms (cough, shortness of breath, fatigue, loss of taste, loss of smell).
RESULTS: One hundred and twenty-three Irish participants who had a RT-PCR test for COVID-19 logged their symptoms. Eighty-four patients reported that they tested positive for COVID-19, and 39 patients reported a negative COVID-19 test. In our cohort of respondents with a positive COVID-19 test, 49/84 (58%) respondents reported a cough. Of the 39 respondents with a negative COVID-19 test, 17 (44%) reported having a cough. The distribution of temperature was similar in both those with and without COVID-19. Levels of self-reported fatigue were high in both groups with 65/84 (77%) of COVID-19-positive patients reporting fatigue and 30/39 (77%) of those who were COVID-19-negative reporting fatigue. New symptoms emerging at the time of data collection included loss of taste and smell. We demonstrated a higher proportion of loss of smell (p = 0.02) and taste (p = 0.01) in those reporting a positive result, compared to those reporting a negative result.
CONCLUSION: These data represents an early picture of the clinical characteristics of COVID-19 in an Irish population. It also highlights the potential use of self-reported data globally as a powerful tool in helping with the pandemic.
© 2021. Royal Academy of Medicine in Ireland.

Entities:  

Keywords:  COVID-19; Clinical characteristics; Digital Health; Innovation; Symptoms

Mesh:

Year:  2021        PMID: 33768443      PMCID: PMC7993982          DOI: 10.1007/s11845-021-02598-z

Source DB:  PubMed          Journal:  Ir J Med Sci        ISSN: 0021-1265            Impact factor:   2.089


Introduction

Since the outbreak of COVID-19 in December 2019, there have been more than 115 million cases worldwide [1]. The first case of COVID-19 was notified in Ireland on February 29, 2020, and as of March 1, 2021, Ireland has had > 220,000 cases [1, 2]. Symptoms of COVID-19 vary widely, and the spectrum of clinical presentation has yet to be fully characterised [3]. With the potential for further emergence of global pandemics, the challenge is early, accurate identification of the disease and effective therapeutics. The COVID-19 pandemic has considerably outpaced our collective efforts to characterise the clinical presentation and identify those at risk of more serious sequelae [4]. In response, we have seen the emergence of technology that gathers actionable data on a large scale to expedite our response to a fast-moving global health crisis [4]. Many countries have detailed their early experience with COVID-19, with a focus on the clinical characteristics of the disease. However, to our knowledge, there has been no such study detailing symptoms in the Irish population.

Aim

Our aim is to describe COVID-19 symptoms in the Irish population at the beginning of the COVID-19 pandemic, and compare symptoms between those reporting positive and negative test results.

Methods

A Web page MyCovidSymptoms.ie was created by researchers at the National University of Ireland, Galway in April 2020 to investigate COVID-19 symptoms in Ireland. The Web page invited participants to self-report RT-PCR test outcome data (positive, negative, untested), temperature, a range of symptoms (cough, shortness of breath, fatigue, loss of taste, loss of smell) and their county location. No personal data (e.g. name, age) were collected.

Statistical analysis

In this report, we compare symptoms between those reporting a positive and negative result. A Wilcoxon rank sum test was used to compare temperature, and a Fisher’s exact test was used to compare positive and negative participants across the symptoms of cough, shortness of breath, fatigue, loss of taste and loss of smell.

Results

One hundred and twenty-three Irish participants who had a RT-PCR test for COVID-19 logged their symptoms. Eighty-four patients reported that they tested positive for COVID-19, and 39 patients reported a negative COVID-19 test (Table 1).
Table 1

Comparison of symptoms between those reporting a positive and negative test. Statistics presented: median (IQR); n (%). Statistical tests performed: Wilcoxon rank-sum test for temperature; Fisher’s exact test for symptoms

SymptomNegative test, N = 39Positive test, N = 84p value
Temperature (°C)37.75 (36.65, 38.10)37.40 (36.80, 38.20)0.80
Dry cough17 (44%)49 (58%)0.20
Fatigue30 (77%)65 (77%)0.90
Loss of smell9 (23%)40 (48%)0.02
Loss of taste8 (21%)40 (48%)0.01
Shortness of breath11 (28%)31 (37%)0.50

Temperature

The mean reported temperature of those who reported testing positive for COVID-19 (n = 84) was 37.4 °C. Among those reporting a negative result, the mean temperature was 37.8 °C. The distribution of temperature was similar in both those with and without COVID-19 (Fig. 1).
Fig. 1

Boxplot of temperature among COVID-19-positive and COVID-19-negative respondents

Boxplot of temperature among COVID-19-positive and COVID-19-negative respondents Self-reported cough in respondents with a positive and negative COVID-19 test Self-reported shortness of breath in respondents with a positive and negative COVID-19 test Self-reported fatigue in respondents with a positive and negative COVID-19 test Self-reported loss of taste and smell in respondents with a positive and negative COVID-19 test

Cough

In our cohort of respondents with a positive COVID-19 test, 49/84 (58%) respondents reported a cough. Of the 39 respondents with a negative COVID-19 test, 17 (44%) reported having a cough (Fig. 2).
Fig. 2

Self-reported cough in respondents with a positive and negative COVID-19 test

Shortness of breath

In the cohort of respondents with a positive COVID-19 test, 31/84 (37%) reported shortness of breath, whereas 11/39 (28%) of those with a negative test reported shortness of breath (Fig. 3).
Fig. 3

Self-reported shortness of breath in respondents with a positive and negative COVID-19 test

Fatigue

Levels of self-reported fatigue were high in both groups with 65/84 (77%) of COVID-19-positive patients reporting fatigue and 30/39 (77%) of those who were COVID-19-negative reporting fatigue (Fig. 4).
Fig. 4

Self-reported fatigue in respondents with a positive and negative COVID-19 test

Loss of taste and smell

New symptoms emerging at the time of data collection included loss of taste and smell. Of our COVID-19-positive respondents (n = 84), 40 (48%) reported loss of smell and 40 (48%) reported loss of taste. Of those with a negative COVID-19 test, 9 (23%) reported loss of smell and 8 (21%) reported loss of taste. There was evidence for a higher proportion of loss of smell (p = 0.02) and taste (p = 0.01) in those reporting a positive result, compared to those reporting a negative result (Fig. 5).
Fig. 5

Self-reported loss of taste and smell in respondents with a positive and negative COVID-19 test

Discussion

Similar to every country around the world, Ireland has had to adapt to the rapid spread of the COVID-19 pandemic. Previously not detected in humans, SARS-CoV-2 poses unprecedented challenges on a global scale. During the first wave of COVID-19, when the MyCovidSymptoms.ie Web site was established, there remained uncertainty regarding COVID-19’s mode of transmission, clinical presentation and pandemic potential [5]. The diagnosis of COVID-19 was complicated by the diversity in symptoms and severity of the disease [6]. Many early case studies were published in an attempt to understand the dynamics of this emerging infection and identify early indicators of disease [7]. However, no such case series described the initial picture of COVID-19 in Ireland. Early reports of COVID-19 symptoms identified fever, cough and shortness of breath; these were used for initial case identification and testing prioritisation [8]. While loss of taste and smell are now key features in the recognition of COVID-19, at the time of the Web site launch in April 2020, only anecdotal reports identified these symptoms as possible indicators of disease [9]. During the first wave of the pandemic, those with smell or taste disorders as the initial or main symptom were not suspected to be infected with SARS-CoV-2 and thus were not referred for testing, representing potential routes of transmission of the virus [10]. Our aim was to identify the prevalence of these emerging symptoms, as well as the classical features of COVID-19, in an Irish population. Now, a year into the pandemic, subsequent reports have demonstrated that loss of taste and smell are highly predictive of COVID-19 and are more predictive than the presence of a cough [8]. The COVID-19 pandemic has placed an unprecedented burden on the Irish healthcare system and, in particular, on our capacity for mass testing. Recent studies have shown that the additional criteria of loss of taste and smell, in conjunction with the classical symptoms of COVID-19, can capture up to 95% of cases of COVID-19 [8]. A more accurate understanding of the clinical picture of COVID-19 allows for more timely testing pathways, which are paramount to rapidly break chains of transmission and prevent generation of secondary and tertiary cases from an Index COVID-19 case [11]. This highlights how applications and Web sites such as MyCovidSymptoms.ie, and other examples of big data and statistical analysis, have emerged globally as a powerful tool in helping with the pandemic. Similar applications have been used internationally to record self-reported COVID-19 symptoms. An example of this is the COVID Symptom Study app developed by Zoe Global and launched in the UK and the USA in March which offers data on risk factors, predictive symptoms, clinical outcomes and geographical hotspots [4]. These Web-based surveys have been used to harmonise clinical observations to support the development of guidelines and prognostic and diagnostic indicators [12]. In the future, self-reported data from mobile applications may have a role in the detection of rapid case increases and the identification of infection hotspots [13]. In an effort to prevent the need for national restrictions, such data may also be used to identify areas in need of targeted intervention [13]. Data are also used to supplement clinical trials and investigate the long-term effects of COVID-19 [4].

Limitations

A limitation of this study is that smartphone applications or Web sites do not represent a random sampling of the population and are instead a self-selected group. Another limitation is the self-report nature of the data which could result in false negative and false positive reports being included. Furthermore, there were no data collected on the timing of a test result relative to symptoms.

Conclusion

These data represents an early picture of the clinical characteristics of COVID-19 in an Irish population. It also highlights the potential use of self-reported data in an attempt to respond to the rapid pace of COVID-19 and aid our effort to mitigate both the current health crisis but also future pandemics. Comparison of symptoms between those reporting a positive and negative test. Statistics presented: median (IQR); n (%). Statistical tests performed: Wilcoxon rank-sum test for temperature; Fisher’s exact test for symptoms
  11 in total

1.  A structural equation model to examine the clinical features of mild-to-moderate COVID-19: A multicenter Italian study.

Authors:  Maria Rosaria Barillari; Luca Bastiani; Jerome R Lechien; Giuditta Mannelli; Gabriele Molteni; Giovanna Cantarella; Nicola Coppola; Giuseppe Costa; Eleonora M C Trecca; Calogero Grillo; Ignazio La Mantia; Carlos M Chiesa-Estomba; Claudio Vicini; Sven Saussez; Andrea Nacci; Giovanni Cammaroto
Journal:  J Med Virol       Date:  2020-07-25       Impact factor: 2.327

2.  Alterations in Smell or Taste in Mildly Symptomatic Outpatients With SARS-CoV-2 Infection.

Authors:  Giacomo Spinato; Cristoforo Fabbris; Jerry Polesel; Diego Cazzador; Daniele Borsetto; Claire Hopkins; Paolo Boscolo-Rizzo
Journal:  JAMA       Date:  2020-05-26       Impact factor: 56.272

Review 3.  The first few cases and fatalities of Corona Virus Disease 2019 (COVID-19) in the Eastern Mediterranean Region of the World Health Organization: A rapid review.

Authors:  Muna Abed Alah; Sami Abdeen; Vahe Kehyayan
Journal:  J Infect Public Health       Date:  2020-06-19       Impact factor: 3.718

4.  Loss of Taste and Smell as Distinguishing Symptoms of Coronavirus Disease 2019.

Authors:  Patrick Dawson; Elizabeth M Rabold; Rebecca L Laws; Erin E Conners; Radhika Gharpure; Sherry Yin; Sean A Buono; Trivikram Dasu; Sanjib Bhattacharyya; Ryan P Westergaard; Ian W Pray; Dongni Ye; Scott A Nabity; Jacqueline E Tate; Hannah L Kirking
Journal:  Clin Infect Dis       Date:  2021-02-16       Impact factor: 9.079

5.  Prevalence and severity of corona virus disease 2019 (COVID-19): A systematic review and meta-analysis.

Authors:  Yong Hu; Jiazhong Sun; Zhe Dai; Haohua Deng; Xin Li; Qi Huang; Yuwen Wu; Li Sun; Yancheng Xu
Journal:  J Clin Virol       Date:  2020-04-14       Impact factor: 3.168

6.  Clinical Characteristics of Coronavirus Disease 2019 in China.

Authors:  Wei-Jie Guan; Zheng-Yi Ni; Yu Hu; Wen-Hua Liang; Chun-Quan Ou; Jian-Xing He; Lei Liu; Hong Shan; Chun-Liang Lei; David S C Hui; Bin Du; Lan-Juan Li; Guang Zeng; Kwok-Yung Yuen; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Ping-Yan Chen; Jie Xiang; Shi-Yue Li; Jin-Lin Wang; Zi-Jing Liang; Yi-Xiang Peng; Li Wei; Yong Liu; Ya-Hua Hu; Peng Peng; Jian-Ming Wang; Ji-Yang Liu; Zhong Chen; Gang Li; Zhi-Jian Zheng; Shao-Qin Qiu; Jie Luo; Chang-Jiang Ye; Shao-Yong Zhu; Nan-Shan Zhong
Journal:  N Engl J Med       Date:  2020-02-28       Impact factor: 91.245

7.  Rapid COVID-19 Screening Based on Self-Reported Symptoms: Psychometric Assessment and Validation of the EPICOVID19 Short Diagnostic Scale.

Authors:  Luca Bastiani; Loredana Fortunato; Stefania Pieroni; Fabrizio Bianchi; Fulvio Adorni; Federica Prinelli; Andrea Giacomelli; Gabriele Pagani; Stefania Maggi; Caterina Trevisan; Marianna Noale; Nithiya Jesuthasan; Aleksandra Sojic; Carla Pettenati; Massimo Andreoni; Raffaele Antonelli Incalzi; Massimo Galli; Sabrina Molinaro
Journal:  J Med Internet Res       Date:  2021-01-06       Impact factor: 5.428

8.  Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational study.

Authors:  Thomas Varsavsky; Mark S Graham; Liane S Canas; Sajaysurya Ganesh; Joan Capdevila Pujol; Carole H Sudre; Benjamin Murray; Marc Modat; M Jorge Cardoso; Christina M Astley; David A Drew; Long H Nguyen; Tove Fall; Maria F Gomez; Paul W Franks; Andrew T Chan; Richard Davies; Jonathan Wolf; Claire J Steves; Tim D Spector; Sebastien Ourselin
Journal:  Lancet Public Health       Date:  2020-12-03

9.  Real-time tracking of self-reported symptoms to predict potential COVID-19.

Authors:  Cristina Menni; Ana M Valdes; Claire J Steves; Tim D Spector; Maxim B Freidin; Carole H Sudre; Long H Nguyen; David A Drew; Sajaysurya Ganesh; Thomas Varsavsky; M Jorge Cardoso; Julia S El-Sayed Moustafa; Alessia Visconti; Pirro Hysi; Ruth C E Bowyer; Massimo Mangino; Mario Falchi; Jonathan Wolf; Sebastien Ourselin; Andrew T Chan
Journal:  Nat Med       Date:  2020-05-11       Impact factor: 53.440

10.  Rapid implementation of mobile technology for real-time epidemiology of COVID-19.

Authors:  David A Drew; Long H Nguyen; Tim D Spector; Andrew T Chan; Claire J Steves; Cristina Menni; Maxim Freydin; Thomas Varsavsky; Carole H Sudre; M Jorge Cardoso; Sebastien Ourselin; Jonathan Wolf
Journal:  Science       Date:  2020-05-05       Impact factor: 47.728

View more
  5 in total

1.  Taste loss as a distinct symptom of COVID-19: a systematic review and meta-analysis.

Authors:  Mackenzie E Hannum; Riley J Koch; Vicente A Ramirez; Sarah S Marks; Aurora K Toskala; Riley D Herriman; Cailu Lin; Paule V Joseph; Danielle R Reed
Journal:  Chem Senses       Date:  2022-01-01       Impact factor: 3.160

Review 2.  Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has COVID-19.

Authors:  Thomas Struyf; Jonathan J Deeks; Jacqueline Dinnes; Yemisi Takwoingi; Clare Davenport; Mariska Mg Leeflang; René Spijker; Lotty Hooft; Devy Emperador; Julie Domen; Anouk Tans; Stéphanie Janssens; Dakshitha Wickramasinghe; Viktor Lannoy; Sebastiaan R A Horn; Ann Van den Bruel
Journal:  Cochrane Database Syst Rev       Date:  2022-05-20

3.  Taste loss as a distinct symptom of COVID-19: A systematic review and meta-analysis.

Authors:  Mackenzie E Hannum; Riley J Koch; Vicente A Ramirez; Sarah S Marks; Aurora K Toskala; Riley D Herriman; Cailu Lin; Paule V Joseph; Danielle R Reed
Journal:  medRxiv       Date:  2021-10-09

4.  Symptom-based early-stage differentiation between SARS-CoV-2 versus other respiratory tract infections-Upper Silesia pilot study.

Authors:  Justyna Mika; Joanna Tobiasz; Joanna Zyla; Anna Papiez; Małgorzata Bach; Aleksandra Werner; Michał Kozielski; Mateusz Kania; Aleksandra Gruca; Damian Piotrowski; Barbara Sobala-Szczygieł; Bożena Włostowska; Paweł Foszner; Marek Sikora; Joanna Polanska; Jerzy Jaroszewicz
Journal:  Sci Rep       Date:  2021-06-30       Impact factor: 4.379

Review 5.  Exploring the Clinical Utility of Gustatory Dysfunction (GD) as a Triage Symptom Prior to Reverse Transcription Polymerase Chain Reaction (RT-PCR) in the Diagnosis of COVID-19: A Meta-Analysis and Systematic Review.

Authors:  Khang Wen Pang; Sher-Lyn Tham; Li Shia Ng
Journal:  Life (Basel)       Date:  2021-11-29
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.