Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73845, first published .
Seasonal Variation in Conjunctivitis in Saudi Arabia and Reduction of Searches During the COVID-19 Pandemic: Analysis of Google Trends Data

Seasonal Variation in Conjunctivitis in Saudi Arabia and Reduction of Searches During the COVID-19 Pandemic: Analysis of Google Trends Data

Seasonal Variation in Conjunctivitis in Saudi Arabia and Reduction of Searches During the COVID-19 Pandemic: Analysis of Google Trends Data

Authors of this article:

Abdulaziz S AlHarthi1 Author Orcid Image

Ophthalmology Department, College of Medicine, Majmaah University, Al-Majmaah, Saudi Arabia

Corresponding Author:

Abdulaziz S AlHarthi, MD


Analysis of Google Trends data for the Arabic term for “conjunctivitis” found significant seasonality, with the highest interest in February and the lowest in August (P<.001); moreover, during COVID-19 restrictions, relative search volume decreased by 53.3%, with a disruption of the seasonal pattern.

JMIR Form Res 2025;9:e73845

doi:10.2196/73845

Keywords



Conjunctivitis is one of the most common eye-related infections worldwide, and it frequently results in nonemergency ophthalmic visits to health care facilities [Channa R, Zafar SN, Canner JK, Haring RS, Schneider EB, Friedman DS. Epidemiology of eye-related emergency department visits. JAMA Ophthalmol. Mar 2016;134(3):312-319. [CrossRef] [Medline]1]. Previous studies have observed seasonal patterns in the incidence of cases. In the United States, cases have been reported to be predominant in the winter and spring [Deiner MS, Lietman TM, McLeod SD, Chodosh J, Porco TC. Surveillance tools emerging from search engines and social media data for determining eye disease patterns. JAMA Ophthalmol. Sep 1, 2016;134(9):1024-1030. [CrossRef] [Medline]2].

During the COVID-19 pandemic, preventive measures to decrease transmission were implemented worldwide. In the Kingdom of Saudi Arabia, this included the obligation to wear a face mask, social distancing, and the suspension of gatherings in educational institutions. A curfew was imposed in late March 2020; all measures were lifted entirely in March 2022.

To date, few studies have explored the impact of COVID-19 restrictions on the spread of other infectious diseases. Here, we explore Google Trends data to determine whether public search volumes for conjunctivitis in Saudi Arabia exhibit seasonality and how this was impacted during the COVID-19 period.


Overview

Monthly normalized relative search volume data (0‐100) were extracted as CSV files from Google Trends in September 2024 for the search term “الرمد” (Arabic for “conjunctivitis”), with the location set to Saudi Arabia and the period from January 2011 to October 2024, without a category selection. Statistical analyses were conducted in R (version 4.4.2; R Foundation) with the Forecast, seatest, and season packages.

Poisson cosinor analysis was performed to assess seasonality during the pre–COVID-19 period (2011‐2019), avoiding pattern distortions due to COVID-19–related search behavior, with the significance level set at .025, consistent with previous studies [Kardeş S. Seasonal variation in the internet searches for psoriasis. Arch Dermatol Res. Aug 2019;311(6):461-467. [CrossRef] [Medline]3]. To estimate the impact of COVID-19 restrictions, a log-transformed autoregressive integrated moving average (ARIMA) model (1,0,0) was fitted on data from 2011 to 2023, including binary variables for the intervention period (March 2020 to March 2022), monthly dummy variables, lag-12, and linear and quadratic trends (significance at P<.05). Residual diagnostics indicated approximate normality and passed the Ljung-Box test and passed the Ljung-Box test (χ2=16.19; P=.06) which indicates white noise in the residuals. Seasonality disruption was assessed using the Friedman test across the years before and during COVID-19.

Ethical Considerations

The data are public source, so no institutional review board approval was needed.


Cosinor analysis confirmed a statistically significant seasonal pattern in the relative search volume for conjunctivitis (amplitude=7.57, phase month=2.7, and low-point month=8.7; P<.001; Figure 1). A relative search peak was observed in February and the lowest volume during summer, in August. An interrupted model using ARIMA showed an estimated 53.3% reduction (95% CI −43.2% to 61.6%; P<.001) in the relative search volume for conjunctivitis during the COVID-19 quarantine compared to the pre–COVID-19 period. Notably, the Friedman test showed that the prepandemic seasonal pattern (when the value was P=.03) was disrupted during pandemic restriction policies from 2020 to 2022 (when the value changed to P=.20).

Figure 1. Cosinor model plot for conjunctivitis seasonality in Google Trends search volume in Saudi Arabia for the Arabic word for “conjunctivitis” for the period from January 2011 to December 2019.

Principal Findings

This study shows that there is significant seasonality in the search volume for conjunctivitis. Moreover, there was a significant reduction in and disruption of seasonality during the pandemic, providing a line of evidence to complement traditional methods; the finding suggests that the preventive strategies taken to lower the risk of COVID-19 transmission may have also reduced the incidence of conjunctivitis or at least online search interest.

Previous studies from the United States have explored the seasonality of searches for conjunctivitis and obtained similar findings, that is, that search increases from fall to spring [Deiner MS, Lietman TM, McLeod SD, Chodosh J, Porco TC. Surveillance tools emerging from search engines and social media data for determining eye disease patterns. JAMA Ophthalmol. Sep 1, 2016;134(9):1024-1030. [CrossRef] [Medline]2]. Several factors lead to an increased risk of conjunctivitis during winter, including indoor crowdedness and an increased risk of contact with infected people, especially in schools. Additionally, conjunctivitis cases increase with other infections, like the flu, that exhibit seasonal variation.

Adenoviral conjunctivitis has a similar transmission mechanism as coronaviruses [Li K, Li L, Wang X, et al. Comparative analysis of clinical features of SARS-CoV-2 and adenovirus infection among children. Virol J. Dec 10, 2020;17(1):193. [CrossRef] [Medline]4], with transmission rates of 30% in nursing homes and 76% in schools [Madurapandian Y, Rubeshkumar P, Raju M, et al. Case report: an outbreak of viral conjunctivitis among the students and staff of visually impaired school, Tamil Nadu, India, 2020. Front Public Health. 2022;10:978200. [CrossRef] [Medline]5,Domínguez-Berjón MF, Hernando-Briongos P, Miguel-Arroyo PJ, Echevarría JE, Casas I. Adenovirus transmission in a nursing home: analysis of an epidemic outbreak of keratoconjunctivitis. Gerontology. 2007;53(5):250-254. [CrossRef] [Medline]6]. Recently, Deiner et al [Deiner MS, Seitzman GD, Kaur G, et al. Sustained reductions in online search interest for communicable eye and other conditions during the COVID-19 pandemic: infodemiology study. JMIR Infodemiology. 2022;2(1):e31732. [CrossRef] [Medline]7] showed that there was a sustained reduction in searches for communicable diseases, including conjunctivitis, during the pandemic in the United States. In a study from Spain, there was a decrease in the incidence of conjunctivitis by 48.5% during the pandemic in 2020 [Conde Bachiller Y, Puente Gete B, Gil Ibáñez L, Esquivel Benito G, Asencio Duran M, Dabad Moreno JV. COVID-19 pandemic: impact on the rate of viral conjunctivitis. Arch Soc Esp Oftalmol (Engl Ed). Feb 2022;97(2):63-69. [CrossRef] [Medline]8]. Additionally, Lavista Ferres et al [Lavista Ferres JM, Meirick T, Lomazow W, Lee CS, Lee AY, Lee MD. Association of public health measures during the COVID-19 pandemic with the incidence of infectious conjunctivitis. JAMA Ophthalmol. Jan 1, 2022;140(1):43-49. [CrossRef] [Medline]9] published evidence of a decrease in nonallergic conjunctivitis cases in the emergency department of 37.3%.

Limitations

These findings are based on Google Trends search volume, which may be influenced by other factors, such as the media, not only by the actual incidence of conjunctivitis. Therefore, further studies to elaborate on the seasonality and impact of COVID-19 restrictions are needed.

Conclusions

These findings highlight the potential seasonality of conjunctivitis. Understanding disease patterns and the role of public health measures against COVID-19 in reducing conjunctivitis spread has public health implications for the reduction of conjunctivitis prevalence.

Data Availability

The datasets generated or analyzed during this study are available from the corresponding author on reasonable request.

Conflicts of Interest

None declared.

  1. Channa R, Zafar SN, Canner JK, Haring RS, Schneider EB, Friedman DS. Epidemiology of eye-related emergency department visits. JAMA Ophthalmol. Mar 2016;134(3):312-319. [CrossRef] [Medline]
  2. Deiner MS, Lietman TM, McLeod SD, Chodosh J, Porco TC. Surveillance tools emerging from search engines and social media data for determining eye disease patterns. JAMA Ophthalmol. Sep 1, 2016;134(9):1024-1030. [CrossRef] [Medline]
  3. Kardeş S. Seasonal variation in the internet searches for psoriasis. Arch Dermatol Res. Aug 2019;311(6):461-467. [CrossRef] [Medline]
  4. Li K, Li L, Wang X, et al. Comparative analysis of clinical features of SARS-CoV-2 and adenovirus infection among children. Virol J. Dec 10, 2020;17(1):193. [CrossRef] [Medline]
  5. Madurapandian Y, Rubeshkumar P, Raju M, et al. Case report: an outbreak of viral conjunctivitis among the students and staff of visually impaired school, Tamil Nadu, India, 2020. Front Public Health. 2022;10:978200. [CrossRef] [Medline]
  6. Domínguez-Berjón MF, Hernando-Briongos P, Miguel-Arroyo PJ, Echevarría JE, Casas I. Adenovirus transmission in a nursing home: analysis of an epidemic outbreak of keratoconjunctivitis. Gerontology. 2007;53(5):250-254. [CrossRef] [Medline]
  7. Deiner MS, Seitzman GD, Kaur G, et al. Sustained reductions in online search interest for communicable eye and other conditions during the COVID-19 pandemic: infodemiology study. JMIR Infodemiology. 2022;2(1):e31732. [CrossRef] [Medline]
  8. Conde Bachiller Y, Puente Gete B, Gil Ibáñez L, Esquivel Benito G, Asencio Duran M, Dabad Moreno JV. COVID-19 pandemic: impact on the rate of viral conjunctivitis. Arch Soc Esp Oftalmol (Engl Ed). Feb 2022;97(2):63-69. [CrossRef] [Medline]
  9. Lavista Ferres JM, Meirick T, Lomazow W, Lee CS, Lee AY, Lee MD. Association of public health measures during the COVID-19 pandemic with the incidence of infectious conjunctivitis. JAMA Ophthalmol. Jan 1, 2022;140(1):43-49. [CrossRef] [Medline]


ARIMA: autoregressive integrated moving average


Edited by Amaryllis Mavragani; submitted 12.03.25; peer-reviewed by Travis Porco; final revised version received 09.06.25; accepted 11.06.25; published 21.07.25.

Copyright

© Abdulaziz S AlHarthi. Originally published in JMIR Formative Research (https://formative.jmir.org), 21.7.2025.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.