1,334
Views
0
CrossRef citations to date
0
Altmetric
Original Article

The role of human rhinovirus in COPD exacerbations in Abu Dhabi: molecular epidemiology and clinical significance

ORCID Icon, , , , &
Article: 2307679 | Received 02 Oct 2023, Accepted 16 Jan 2024, Published online: 30 Jan 2024

ABSTRACT

This study aimed to describe the molecular epidemiology and seasonality of human rhinovirus (HRV) in chronic obstructive pulmonary disease (COPD) and its association with COPD exacerbations in Abu Dhabi, the United Arab Emirates (UAE). Sputum specimens were collected for analysis from all COPD patients who visited a medical center from November 2021 to October 2022. The real-time quantitative polymerase chain reaction (qPCR) test was used to detect HRV. Of the 78 COPD patients included in the study, 58 (74%) patients presented with one or more exacerbation episodes. The incidence of COPD exacerbation peaked over the winter and substantially decreased during the summer. HRV positivity in patients during exacerbation (E1) was 11/58 (19%) and 15/58 (26%) two weeks after the exacerbation episode (E2). There was no significant difference in the HRV load in these patients. No statistically significant difference was observed in the detection of HRV during exacerbation compared to patients with stable COPD. This is the first study to assess the association between HRV detection by qPCR and COPD exacerbations in the UAE. The high sensitivity of the detection technology helped collect reliable epidemiologic data. Few studies have provided similar Middle East data. This study’s pattern of COPD exacerbations and HRV detection parallels that of temperate countries. This information can help with future, more extensive surveillance of respiratory viruses in the UAE and the Middle East and their association with COPD exacerbations.

1. Introduction

Chronic obstructive pulmonary disease (COPD) ranks globally as the fourth most common cause of death [Citation1]. Deterioration of the respiratory symptoms beyond normal daily symptoms, called COPD exacerbation, increases morbidity [Citation2,Citation3] and mortality [Citation4].

In a recent study based in the United Arab Emirates (UAE) [Citation5], the quantitative real-time polymerase chain reaction (qPCR) test demonstrated an overall respiratory viral detection of 37.2% (507/1362) where influenza virus and human rhinovirus (HRV) were the most prevalent (20.0% and 10.7% respectively) [Citation5].

In developed countries with temperate temperatures, the epidemiology of respiratory viruses has been thoroughly investigated [Citation6,Citation7]. However, epidemiological research on respiratory virus detection in tropical and subtropical regions is scarce, but the epidemiological variety according to local climate and latitude has been well explored [Citation8–10].

Knowledge of the regional distribution of respiratory viruses is crucial for preventing and controlling local infection and global health decision-making [Citation11]. The epidemiology and clinical features of respiratory viral infections in the UAE are poorly studied.

It is unclear whether HRV infections can be associated with exacerbations in their own right or whether they predispose to secondary bacterial infection.

Rapid molecular methods, such as qPCR, should increase the yield of microbial detection and provide a better insight into the microbial association with COPD exacerbation [Citation12–16].

Our study’s objective was to describe the association between HRV detection and COPD exacerbation and determine the molecular epidemiology, including the seasonality of HRV in Abu Dhabi, UAE, over one year. In the landscape of COPD, the exacerbation is often a critical stage where various factors can significantly influence the disease course. Notably, while viral infections, particularly HRV, have emerged as pivotal contributors to asthma exacerbation [Citation17,Citation18], the role of HRV in COPD exacerbation remains insufficiently studied. This study explores the intricate relationship between HRV and COPD exacerbation. Furthermore, our interest extends beyond the broader COPD context to the unique demographic and environmental factors prevalent in Abu Dhabi. Understanding the interplay between HRV and COPD exacerbation in this regional setting is paramount, considering the distinct viral landscape and environmental conditions. This research not only endeavors to contribute to the global understanding of COPD exacerbation but also addresses a specific need for insights in the context of Abu Dhabi, thereby fostering more targeted and effective interventions for individuals grappling with this debilitating respiratory condition.

2. Materials and methods

2.1. Study setting and participants

The participants of this observational study were recruited from an emergency department in Abu Dhabi, UAE, over one year from November 2021 to October 2022. Ethical approval was obtained from Fatima College of Health Sciences (IRB-UAE-2021-125 and IRB356), and a consent form was obtained from every participant in this study.

The inclusion criteria for this study were COPD patients diagnosed by a pulmonologist with a documented post-bronchodilator forced expiratory volume in one second (FEV1)/forced vital capacity (FVC) value of < 0.70 according to the Global Initiative for Chronic Obstructive Lung Disease updated guideline [Citation1].

The main exclusion criteria were asthma, bronchiectasis, tuberculosis, myocardial infarction, or a cerebrovascular event in the previous six months, pregnancy, rheumatoid disease, cancer, and systemic steroid use for conditions other than COPD exacerbation within two months before enrollment.

COPD exacerbations were defined as deterioration beyond typical daily respiratory symptoms leading to accelerated lung function decline, increased morbidity and mortality requiring antibiotics or systemic steroids or both, and healthcare facility visits [Citation1,Citation19]. The patients were regularly checked for pulmonary exacerbation for the duration of this investigation.

2.2. Sputum samples

The sputum samples used in this study were collected from COPD patients in an emergency department. Expectorated sputum samples from patients with recognized COPD exacerbation were acquired for standard evaluation. The expectorated sputum samples were taken within 24 hours from the onset of the exacerbation (E1) and 14 days after the exacerbation episode and taking the appropriate treatment (E2). Samples were obtained, processed, and stored in a freezer at −80oC for retrospective analysis at the completion of the study. Frozen samples were transferred to the laboratory on dry ice.

2.3. Human rhinovirus detection

Nucleic acid extraction (RNA) from sputum samples and concentration measurements were performed according to our recent publications [Citation17,Citation20,Citation21]. Nucleic acid concentration for the extracts was measured via FLUOstar Omega (BMG Labtech, Offenburg, Germany).

Using the SuperScriptTM III PlatinumTM One-Step qRT-PCR Kit (Invitrogen, Thermo Fischer, UK), a master mix solution was prepared based on previously reported qPCR assays [Citation22], with some modifications as described in where 11 μl aliquots of the amplification mix were transferred into 96 white LightCycler-480 multi-well plates (Roche Diagnostics Ltd., UK). HRV detection for the sputum specimens was carried out using specific primers [Citation20] that targeted the HRV genome’s highly conserved ‘5’ non-coding region” (5’-NCR) (Invitrogen, Thermo Fischer, UK).

Table 1. Master mix preparation for HRV detection.

The eluted nucleic acid from each sputum sample was transferred in 4 μl volumes into the wells of the plates containing the amplification mix. LightCycler-480 sealing foil was then used to re-seal the plates before centrifugation at 4000 rpm (2576 g). The plates were then placed in the LightCycler-480 (Roche Diagnostics, West Sussex, UK) for amplification according to the following real-time qPCR cycling conditions: [50°C for 15-min, 95°C for 2-min, 45 cycles of 95°C for 15s, then 60°C for 30-s, and finally 60°C for 30-s].

The absolute quantification strategy was used to analyze the samples. A positive result was assigned for the cycle threshold (Ct) values less than or equal to 40 cycles. On the other hand, results were considered negative for either Ct values of greater than 40 cycles or in the absence of detectable Ct [Citation17,Citation18,Citation20,Citation23].

2.4. Statistical analysis

Data were analyzed using SPSS Statistics v.26 (IBM Corporation, New York, NY, USA). The Shapiro-Wilk test for normality was applied. The probability value of p < 0.05 was considered statistically significant.

A comparison of the proportions of positive samples for HRV between the E1 and E2 was conducted with the McNemar’s test for related samples.

3. Results

3.1. Study participants

Seventy-eight COPD patients participated in the study, of which 58 (74.4%) patients presented with one or more exacerbation episodes. The participants’ mean age (range) was 57.3 (45–77) years. The male gender of the participants represented 46/78 (59.0%). represents the baseline characteristic of the included patients.

Table 2. Baseline clinical data for the study participants (N = 78).

A total of 58 exacerbation events from 58 patients were included in the study. illustrates the flow chart of COPD patients and sample groups included in the present study. Thirteen patients visited the department with a stable state of COPD and were excluded from the investigation due to the insignificant comparison.

Figure 1. Flow chart of COPD patients/samples groups analyzed. Seventy-eight participants provided at least one sputum sample during the study. A total of 148 sputum samples were included in this study, consisting of 58 exacerbation-related (E1) sputum samples (from 58 patients) and 62 sputum samples (from 58 patients) two weeks after the exacerbation episode (E2).

Abbreviations: “E1: exacerbation event; E2: 14 days after the exacerbation event and the appropriate treatment; HRV: human rhinovirus; SPU: sputum sample”.
Figure 1. Flow chart of COPD patients/samples groups analyzed. Seventy-eight participants provided at least one sputum sample during the study. A total of 148 sputum samples were included in this study, consisting of 58 exacerbation-related (E1) sputum samples (from 58 patients) and 62 sputum samples (from 58 patients) two weeks after the exacerbation episode (E2).

The number of pulmonary exacerbations (N = 58) of COPD was recorded across the entire study interval (). The prevalence of COPD pulmonary exacerbation was higher throughout the winter and autumn months, followed by the spring months, with the lowest detection level occurring in the summer months.

Figure 2. The prevalence of the pulmonary exacerbations of COPD patients (N=58) plotted over the duration of the study. the prevalence of pulmonary exacerbations of COPD was recorded across the entire study interval (November 2021 to October 2022). The prevalence of COPD exacerbation was higher throughout the winter and autumn months followed by the spring months, with the lowest level of detection occurring in the summer months.

Abbreviations: “COPD: chronic obstructive pulmonary disease”.
Figure 2. The prevalence of the pulmonary exacerbations of COPD patients (N=58) plotted over the duration of the study. the prevalence of pulmonary exacerbations of COPD was recorded across the entire study interval (November 2021 to October 2022). The prevalence of COPD exacerbation was higher throughout the winter and autumn months followed by the spring months, with the lowest level of detection occurring in the summer months.

3.2. HRV detection in COPD patients

HRV positivity in patients during exacerbation (E1) was 11/58 (19%) and 15/58 (26%) two weeks after the exacerbation episode (E2) (). The average (range) of viral load was 25.44 copies/ml (24.30–29.30), and there was no significant difference in the HRV load in these patients.

Table 3. HRV detection rates during the study period: the overall prevalence of HRV in the non-matched samples and participants.

Fifty-two patients were investigated to compare the proportion of HRV detection between E1 and E2 on a matched basis (). At the exacerbation events, 10/52 (19%) patients were HRV-positive. Two weeks following the exacerbation (E2), the number of HRV-positive patients had increased to 14/52 (27%). This change resulted from 10 HRV-negative patients at the E1 state becoming HRV-positive at E2. Four patients were HRV-positive at E1 and E2, but six were initially (E1) HRV-positive, becoming HRV-negative two weeks following the exacerbation (E2). Indeed, 8% more participants (compared to the total) were HRV-positive two weeks after the exacerbation (). The related samples McNemar’s test with continuity correction [Citation24] was used to conclude whether a significant difference exists in the proportion of HRV-positive at the E1 and E2 states. The ratio of HRV-positive increased from the E1 state value of 19% to 27% at E2 state, a statistically insignificant difference, χ2 [Citation1] = 0.562, p = 0.454 ().

Table 4. The difference in the proportion of HRV-positivity at the E1 and E2 states (N = 52 paired COPD patients).

Based on a review of HRV detection during this study, it was evident that HRV was detected throughout the winter and spring, with the lowest detection level occurring in the summer months (). Four patients experienced HRV dual detection during the study ().

Figure 3. The numbers of HRV detections throughout the study. The prevalence of HRV-positive samples was recorded across the entire study interval (November 2021 to October 2022). HRV was detected throughout winter and spring, with the lowest level of detection occurring in the summer months.

Abbreviations: “E1: exacerbation event; E2: 14 days after the exacerbation event and the appropriate treatment; HRV: human rhinovirus”.
Figure 3. The numbers of HRV detections throughout the study. The prevalence of HRV-positive samples was recorded across the entire study interval (November 2021 to October 2022). HRV was detected throughout winter and spring, with the lowest level of detection occurring in the summer months.

Table 5. Summary of cases showing twice HRV detection during the study period (n = 5 patients).

4. Discussion

This study aimed to determine the rate of HRV detection and seasonality in COPD patients in Abu Dhabi, UAE, and to assess the association of HRV with COPD exacerbations. The proportion of HRV detection increased from the E1 state value of 10/52 (19%) to 14/52 (27%) at E2 state when fifty-two COPD patients were investigated on a matched basis, p = 0.454. Nevertheless, it has not been possible to identify the nature of the relationship between HRV detection and COPD pulmonary exacerbation. HRV infection may result in COPD exacerbation and elevated airway inflammation. Still, the plausibility of a reversed relationship must also be entertained (namely, that individuals who suffer from COPD exacerbation could be more likely to have HRV infections). A close longitudinal follow-up with repeated respiratory samples assessment is required to determine the precise relationship. This will also assist in revealing whether HRV infection in COPD tends to be a re-infection or persistent, especially since four patients experienced HRV twice during our study period. Unlike COPD, HRV is documented as a factor in asthma exacerbations [Citation17,Citation25].

We could, therefore, speculate that the impact of HRV on exacerbation is probably underestimated in patients with COPD in this study. Nevertheless, the fact that the role of HRV infection in COPD has not been duly acknowledged should not be overlooked, which stems from how patients undergo assessment at the point when they present (i.e. generally after the emergence of the exacerbation, thereby meaning that observation of the HRV could be unlikely).

Furthermore, the pattern of HRV detection seasonality observed in this study, where the rate peaked during winter and bottomed in the summer, might be attributed to the higher rate of observation of pulmonary exacerbations during the winter either in this study or previous research [Citation26]. The increasing incidence of pulmonary exacerbations during winter may result in detrimental consequences such as increased morbidity in addition to the substantial burden on healthcare services. The precise cause of the seasonality exacerbations is not well known. Still, it is thought to be partially due to the increased prevalence of respiratory viral infections during cold and damp weather [Citation27]. The exact mechanism by which cold weather increases the susceptibility of viral infection is not well understood but could be attributed to the inhibition of respiratory defensive mechanisms by the cold air. A cold environment might favor the survival of HRV, which may facilitate transmission and cross-infection [Citation28]. Increased susceptibility to HRV infection may also be mediated by high airway inflammation. The possibility that the winter peak may, in part, relate to patients using less controller medication immediately before the period when they may be at the greatest risk of HRV-related COPD exacerbations. The seasonality of pulmonary exacerbations informs us about the triggers of these exacerbations and suggests possible strategies to reduce their number. Understanding the seasonal pattern of HRV infection may help determine how best to employ the investigated anti-rhinoviral agents or vaccines in patients presenting with symptoms of HRV respiratory infection in COPD patients.

It is not clear whether HRV infections can be associated with COPD exacerbations or whether they predispose to secondary bacterial infection [Citation29]. Moreover, the exact impacts of HRV infection on the bacterial communities and the clinical outcome of COPD patients remain unclear.

In a recent study based in the UAE [Citation5], the quantitative real-time polymerase chain reaction (qPCR) test demonstrated an overall respiratory viral detection of 37.2% (507/1362) where influenza virus and HRV were the most prevalent (20.0% and 10.7% respectively). The positive rate grew during the winter, peaking in December and falling to its lowest point in September [Citation5]. In our study focusing on COPD, the highest HRV detection was in February, and the lowest was in September. The increased frequency of HRV in the UAE may be attributable to the ease with which patients with a common cold can visit the emergency room. However, the prevalence of HRV may have been exaggerated. Many patients who tested positive for HRV at the emergency department may have bacterial co-infections or concomitant comorbidities.

The UAE is situated in a subtropical region and has no rainy season. The majority of the population of the UAE is exposed to a dry, air-conditioned atmosphere for the bulk of the day, particularly during the summer months when temperatures vary from 39 to 45°C.

Despite this relatively controlled environment, the summer peak of influenza in the UAE could be explained by prolonged effective contact rates due to increased indoor activity and decreased relative humidity, which has been linked to viral illnesses [Citation30,Citation31].

The main limitations of this study were the relatively small sample size of the matched patients and the inclusion of only a single sampling time point during each event. As such, the statistical comparison results may not represent a larger population. However, the findings should add valuable information and have many advantages over the previous studies in this field. Another limitation is the lack of investigation into possible bacterial co-infections in addition to other respiratory viruses, including influenza and respiratory syncytial viruses.

5. Conclusions

According to our knowledge, this is the first study to characterize the relationship between HRV detection using qPCR and COPD exacerbations and the HRV seasonal trend in the UAE. This study significantly contributed to understanding the molecular epidemiology and seasonality of HRV in COPD and its association with COPD exacerbations. In addition, the detection method’s high sensitivity facilitated the collection of more accurate epidemiologic data.

The findings revealed that a substantial proportion (74%) of COPD patients experienced one or more exacerbation episodes, with a notable seasonal pattern. The incidence of COPD exacerbations peaked during winter and significantly decreased in summer. Interestingly, HRV positivity in patients during exacerbation (E1) was 19%; two weeks after the exacerbation episode (E2), it increased to 26%. Despite this increase, no significant difference in the HRV load was observed between these two-time points. Furthermore, there was no statistically significant difference in HRV detection during exacerbation compared to patients with stable COPD.

Very few research have supplied similar information for the Middle East to date. The seasonality of HRV detection and COPD exacerbation was comparable to that observed in temperate countries. This information can serve as a foundation for future, more comprehensive surveillance investigations of respiratory viruses in the UAE and the Middle East and their association with COPD exacerbations.

The implications of this research extend to future public health efforts, emphasizing the importance of extensive surveillance of respiratory viruses in the UAE and the broader Middle East. The insights gained from this study provide a foundation for understanding the dynamics of COPD exacerbations concerning HRV and can guide the development of targeted strategies for prevention and management. Continued research in this area will enhance our knowledge of the interplay between respiratory viruses and COPD, ultimately informing more effective healthcare interventions in the region.

Use of AI tools declaration

The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

Acknowledgments

The authors would like to acknowledge the participants and the healthcare team supported this study.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.

References

  • Global Initiative for Chronic Obstructive Lung Disease. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease (GOLD). Internet. 2023. https://goldcopd.org/2023-gold-report-2/
  • Wedzicha JA, Seemungal TAR. COPD exacerbations: defining their cause and prevention. Lancet. 2007;370(9589):786–7. doi: 10.1016/S0140-6736(07)61382-8
  • Seemungal TA, Donaldson GC, Paul EA, et al. Effect of exacerbation on quality of life in patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 1998;157(5):1418–22. doi: 10.1164/ajrccm.157.5.9709032
  • Soler-Cataluna JJ, Martinez-Garcia MA, Roman Sanchez P, et al. Severe acute exacerbations and mortality in patients with chronic obstructive pulmonary disease. Thorax. 2005;60(11):925–931. doi: 10.1136/thx.2005.040527
  • Jeon JH, Han M, Chang HE, et al. Incidence and seasonality of respiratory viruses causing acute respiratory infections in the Northern United Arab Emirates. J med virol. 2019;91(8):1378–84. doi: 10.1002/jmv.25464
  • Tanner H, Boxall E, Osman H. Respiratory viral infections during the 2009-2010 winter season in central England, UK: incidence and patterns of multiple virus co-infections. Eur J Clin Microbiol Infect Dis. 2012;31(11):3001–3006. doi: 10.1007/s10096-012-1653-3
  • Ambrosioni J, Bridevaux PO, Wagner G, et al. Epidemiology of viral respiratory infections in a tertiary care centre in the era of molecular diagnosis, Geneva, Switzerland, 2011-2012. Clin Microbiol Infect. 2014;20(9):O578–O84. doi: 10.1111/1469-0691.12525
  • Paynter S. Humidity and respiratory virus transmission in tropical and temperate settings. Epidemiol Infect. 2015;143(6):1110–8. doi: 10.1017/S0950268814002702
  • Tang JW, Loh TP. Correlations between climate factors and incidence-a contributor to RSV seasonality. Rev Med Virol. 2014;24(1):15–34. doi: 10.1002/rmv.1771
  • Tamerius JD, Shaman J, Alonso WJ, et al. Environmental predictors of seasonal influenza epidemics across temperate and tropical climates. PLOS Pathogens. 2013;9(3). doi: 10.1371/annotation/df689228-603f-4a40-bfbf-a38b13f88147
  • Ratnam I, Black J, Leder K, et al. Incidence and risk factors for acute respiratory illnesses and influenza virus infections in Australian travellers to Asia. J Clin Virol. 2013;57(1):54–8. doi: 10.1016/j.jcv.2013.01.008
  • Desai H, Eschberger K, Wrona C, et al. Bacterial colonization increases daily symptoms in patients with chronic obstructive pulmonary disease. Ann Am Thoracic Soc. 2014;11(3):303–9. doi: 10.1513/AnnalsATS.201310-350OC
  • Sethi S, Murphy TF. Infection in the pathogenesis and course of chronic obstructive pulmonary disease. N Engl J Med. 2008;359(22):2355–65. doi: 10.1056/NEJMra0800353
  • Alsayed AR, Abed A, Khader HA, et al. Molecular accounting and profiling of human respiratory microbial communities: toward precision medicine by targeting the respiratory microbiome for disease diagnosis and treatment. Int J Mol Sci. 2023;24(4):4086. doi: 10.3390/ijms24044086
  • Alsayed AR, Al-Dulaimi A, Alkhatib M, et al. A comprehensive clinical guide for pneumocystis jirovecii pneumonia: a missing therapeutic target in HIV-uninfected patients. Expert Rev Respir Med. 2022;16(11–12):1167–90. doi: 10.1080/17476348.2022.2152332
  • Alsayed AR, Abed A, Jarrar YB, et al. Alteration of the respiratory microbiome in hospitalized patients with asthma–COPD overlap during and after an exacerbation. J Clin Med. 2023;12(6):2118. doi: 10.3390/jcm12062118
  • Al-Dulaimi A, Alsayed AR, Maqbali MA, et al. Investigating the human rhinovirus co-infection in patients with asthma exacerbations and COVID-19. Pharm Pract (Granada). 2022;20(2):2665. doi: 10.18549/PharmPract.2022.2.2665
  • Alsayed AR, Abed A, Abu-Samak M, et al. Etiologies of acute bronchiolitis in children at risk for asthma, with emphasis on the human rhinovirus genotyping protocol. J Clin Med. 2023;12(12):3909. doi: 10.3390/jcm12123909
  • Burge S, Wedzicha J. COPD exacerbations: definitions and classifications. Eur Respir J. 2003;21(41 suppl):46s–53s. doi: 10.1183/09031936.03.00078002
  • Alsayed A, Al-Doori A, Al-Dulaimi A, et al. Influences of bovine colostrum on nasal swab microbiome and viral upper respiratory tract infections - a case report. Respir Med Case Rep. 2020;31:101189. doi: 10.1016/j.rmcr.2020.101189
  • Alsayed AR, Hasoun L, Khader HA, et al. Co‑infection of COVID-19 patients with atypical bacteria: a study based in Jordan. Pharm Pract (Granada). 2023;21(1):1–5. doi: 10.18549/PharmPract.2023.3.2832
  • Scheltinga S, Templeton K, Beersma M, et al. Diagnosis of human metapneumovirus and rhinovirus in patients with respiratory tract infections by an internally controlled multiplex real-time RNA PCR. J Clin Virol. 2005;33(4):306–11. doi: 10.1016/j.jcv.2004.08.021
  • Alsayed AR, Talib W, Al-Dulaimi A, et al. The first detection of pneumocystis jirovecii in asthmatic patients post-COVID-19 in Jordan. Bosn J Basic Med Sci. 2022;22(5):784–790. doi: 10.17305/bjbms.2022.7335
  • Edwards AL. Note on the “correction for continuity” in testing the significance of the difference between correlated proportions. Psychometrika. 1948;13(3):185–7. doi: 10.1007/BF02289261
  • Jartti T, Gern JE. Role of viral infections in the development and exacerbation of asthma in children. J Allergy Clin Immunol. 2017;140(4):895–906. doi: 10.1016/j.jaci.2017.08.003
  • Ortiz JR, Neuzil KM, Victor JC, et al. Influenza-associated cystic fibrosis pulmonary exacerbations. Chest. 2010;137(4):852–60. doi: 10.1378/chest.09-1374
  • Johansen H, Høiby N. Seasonal onset of initial colonisation and chronic infection with Pseudomonas aeruginosa in patients with cystic fibrosis in Denmark. Thorax. 1992;47(2):109–11. doi: 10.1136/thx.47.2.109
  • Donaldson GC, Wedzicha JA. The causes and consequences of seasonal variation in COPD exacerbations. Int J Chron Obstruct Pulmon Dis. 2014;9:1101.
  • Wilkinson TM, Hurst JR, Perera WR, et al. Effect of interactions between lower airway bacterial and rhinoviral infection in exacerbations of COPD. Chest. 2006;129(2):317–324. doi: 10.1378/chest.129.2.317
  • Fisman D. Seasonality of viral infections: mechanisms and unknowns. Clin Microbiol Infect. 2012;18(10):946–54. doi: 10.1111/j.1469-0691.2012.03968.x
  • Wei J, Li Y. Airborne spread of infectious agents in the indoor environment. Am J Infect Control. 2016;44(9):S102–S8. doi: 10.1016/j.ajic.2016.06.003