Interest in COVID-19 in Latin America and the Caribbean: an infodemiological study using Google Trends Interés por la COVID-19 en Latinoamérica y el Caribe: un estudio infodemiológico usando Google Trends

Infodemiology has been widely used to assess epidemics. In light of the recent pandemic, we use Google Search data to explore online interest about COVID-19 and related topics in 20 countries of Latin America and the Caribbean. Data from Google Trends from December 12, 2019, to April 25, 2020, regarding COVID-19 and other related topics were retrieved and correlated with official data on COVID-19 cases and with national epidemiological indicators. The Latin American and Caribbean countries with the most interest for COVID-19 were Peru (100%) and Panama (98.39%). No correlation was found between this interest and national epidemiological indicators. The global and local response time were 20.2 ± 1.2 days and 16.7 ± 15 days, respectively. The duration of public attention was 64.8 ± 12.5 days. The most popular topics related to COVID-19 were: the country’s situation (100 ± 0) and coronavirus symptoms (36.82 ± 16.16). Most countries showed a strong or moderated (r = 0.72) significant correlation between searches related to COVID-19 and daily new cases. In addition, the highest significant lag correlation was found on day 13.35 ± 5.76 (r = 0.79). Interest shown by Latin American and Caribbean countries for COVID-19 was high. The degree of online interest in a country does not clearly reflect the magnitude of their epidemiological indicators. The response time and the lag correlation were greater than in European and Asian countries. Less interest was found for preventive measures. Strong correlation between searches for COVID-19 and daily new cases suggests a predictive utility. Coronavirus Infections; Epidemiology; Internet Correspondence C. J. Aragón-Ayala Universidad Nacional de San Agustín de Arequipa. Santa Catalina Nro. 117, Cercado, Arequipa / Arequipa – 04009, Perú. caragonay@unsa.edu.pe 1 Universidad Nacional de San Agustín de Arequipa, Arequipa, Perú. 2 Universidad Peruana Cayetano Heredia, Lima, Perú. This article is published in Open Access under the Creative Commons Attribution license, which allows use, distribution, and reproduction in any medium, without restrictions, as long as the original work is correctly cited. Aragón-Ayala CJ et al. 2 Cad. Saúde Pública 2021; 37(10):e00270720 Introduction The world is being affected by coronavirus disease 2019 (COVID-19) which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). According to the World Health Organization (WHO) the pandemic comes with a rapid and massive diffusion of information, a phenomenon known as infodemic 1. Frequently, this information is incorrect, causing panic and dangerous behaviors in the population, affecting the effectiveness of public interventions and worsening the situation in lowand middle-income countries. Therefore, infodemiology rises as a tool to combat infodemics 2. Infodemiology is the science of distribution and determinants of information on the Internet or a population, with a final goal to inform about public health and policies 2,3. Its main sources of information are social networking sites and search engines, with web platforms Twitter and Google being the most popular 2. These applications allow a real time analysis 3, facilitating outbreak prediction, especially during pandemics 2. Further analysis informs about health-related behavior, attitudes and knowledge in the population 3. This serves public health professionals who need to keep close surveillance on quick changes in demand for information whether it is to calm down the population or to detect outbreaks, using the peaks in Internet searches as an early predictor. One of the most reliable tools for infodemiology is Google Search, due to its almost universal use 3,4,5. Google Trends (https://trends.google.com) is a public access tool which analyzes daily searches on Google Search, generating data from a specific time and zone as a Relative Search Volume (RSV) 6. The use of Google Trends in surveillance of the public interest for an outbreak is promising, because it responds the principal queries and doubts around the population. Google Trends has been used in studies about infectious diseases, mental health, general diseases, public behavior and its seasonality 7,8,9,10,11. Other studies about COVID-19 and Google Trends searches have been conducted in China 7,12, Taiwan 11, Iran 13, United States, United Kingdom, Canada, Ireland, Australia, New Zealand 14, and Colombia 15. Aiming to expand related knowledge in Latin American and Caribbean countries, and to improve the previously utilized methods, we analyzed COVID-19 related queries and their relationship with epidemiological indicators such as daily incidence, lethality, and deaths by COVID-19, for each country belonging to Latin American and Caribbean. Additionally, the response time and duration of the public attention. Material and methods Design and study period Data from Google Trends 16 and the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (United States) 17,18 were utilized for topics related to COVID-19. The study period was from December 30, 2019 (the day before the first notification to the WHO of disease by COVID-19 in Wuhan, China) to April 25, 2020, for each one of the 20 Latin American and Caribbean countries which were studied (Argentina, Bolivia, Brazil, Chile, Colombia, Costa Rica, Cuba, Ecuador, El Salvador, Guatemala, Honduras, Mexico, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Dominican Republic, Uruguay, and Venezuela). Data were collected from April 27, 2020 to April 30, 2020.


Introduction
The world is being affected by coronavirus disease 2019  which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). According to the World Health Organization (WHO) the pandemic comes with a rapid and massive diffusion of information, a phenomenon known as infodemic 1 . Frequently, this information is incorrect, causing panic and dangerous behaviors in the population, affecting the effectiveness of public interventions and worsening the situation in low-and middle-income countries. Therefore, infodemiology rises as a tool to combat infodemics 2 .
Infodemiology is the science of distribution and determinants of information on the Internet or a population, with a final goal to inform about public health and policies 2,3 . Its main sources of information are social networking sites and search engines, with web platforms Twitter and Google being the most popular 2 . These applications allow a real time analysis 3 , facilitating outbreak prediction, especially during pandemics 2 . Further analysis informs about health-related behavior, attitudes and knowledge in the population 3 . This serves public health professionals who need to keep close surveillance on quick changes in demand for information whether it is to calm down the population or to detect outbreaks, using the peaks in Internet searches as an early predictor.
One of the most reliable tools for infodemiology is Google Search, due to its almost universal use 3,4,5 . Google Trends (https://trends.google.com) is a public access tool which analyzes daily searches on Google Search, generating data from a specific time and zone as a Relative Search Volume (RSV) 6 . The use of Google Trends in surveillance of the public interest for an outbreak is promising, because it responds the principal queries and doubts around the population. Google Trends has been used in studies about infectious diseases, mental health, general diseases, public behavior and its seasonality 7,8,9,10,11 .
Other studies about COVID-19 and Google Trends searches have been conducted in China 7,12 , Taiwan 11 , Iran 13 , United States, United Kingdom, Canada, Ireland, Australia, New Zealand 14 , and Colombia 15 . Aiming to expand related knowledge in Latin American and Caribbean countries, and to improve the previously utilized methods, we analyzed COVID-19 related queries and their relationship with epidemiological indicators such as daily incidence, lethality, and deaths by COVID-19, for each country belonging to Latin American and Caribbean. Additionally, the response time and duration of the public attention.

Design and study period
Data from Google Trends 16 and the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (United States) 17, 18 were utilized for topics related to COVID-19. The study period was from December 30, 2019 (the day before the first notification to the WHO of disease by COVID-19 in Wuhan, China) to April 25, 2020, for each one of the 20 Latin American and Caribbean countries which were studied (Argentina, Bolivia, Brazil, Chile, Colombia, Costa Rica, Cuba, Ecuador, El Salvador, Guatemala, Honduras, Mexico, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Dominican Republic, Uruguay, and Venezuela). Data were collected from April 27, 2020 to April 30, 2020.

Google Trends
Google Trends allows access to a variety of queries done with the Google engine. Its results are anonymous, categorized (by related searches) and aggregated. This allows it to reflect the worldwide interest on a particular subject 19,20 . Google Trends normalizes data to ease comparison between terms, as well as normalization on a temporal and geographical level. Normalized data is calculated by dividing the number of searches related to a term by the total of searches done in Google, having previously selected a specific place and time range. Results are scaled from 0 to 100, resulting in a RSV 11,14,19,20,21 . RSV of 100 represents the peak of interest in a particular subject within the chosen area and time, indirectly correcting bias in absolute measurements such as Internet access or population Cad. Saúde Pública 2021; 37(10):e00270720 size, which varies between countries 21 . Search terms on Google Trends are not case sensitive, but results can be affected by the use of accentuation. Combined search terms can be created by merging two or more terms with the use of a plus (+), which works as the Boolean operator "OR". Nonetheless, a limited number of characters (until 100 characters) can be used to form these terms. The comparison between terms (simple or combined) is limited to five.
Topics of possible public concern were identified by researchers (C.J.A.A., J.C.U., L.H., F.Z.C.) by searching the most frequently asked questions about COVID-19 as referred by the Centers for Disease Control and Prevention (CDC; United States) and the WHO, as well as identifying them in repetitive commentaries on televised news, newspapers and social networking sites. All researchers conducted short unstructured interviews in a convenience sample of twenty people not involved in health care, to identify their main concerns about COVID-19. All previous procedures were done between April 15, 2020 to April 25, 2020. Then, for each identified topic, the most popular search terms for every country were found using the tools Related queries -Top and Related queries -Rising both available on the Google Trends page. Then, several combinations of these terms were repeated in Google Trends to obtain the most exhaustive combined search term. One of the explored topics was a promising treatment, in this case we used hydroxychloroquine, having the largest public interest, as well as the largest number of clinical trials 22 .

Procedures
The researchers ( J.C.U., L.H., F.Z.C.) downloaded data in a CSV (comma-separated values) format from Google Trends, which was then imported into Microsoft Excel 2019 (https://products.office. com/). First, the general term COVID-19 was searched by combining Spanish and Portuguese terms: "coronavirus + COVID-19 + SARS-CoV2 + nuevo coronavirus + 2019-nCoV + novo coronavírus" with "Worldwide" option. Then, a worldwide ranking of mean RSV was obtained per country. Data from Latin American and Caribbean countries was extracted, and each mean RSV was standardized on a scale from 0 to 100, to facilitate the analysis. Also, for every country, the RSV time series were extracted from the general term of COVID-19 in the study period. Secondly, for each country we identify the five topics with the highest mean RSV by conducting several searches in Google Trends. This way, searches were ranked in order of popularity using the mean RSV for every country.

Global and local response time and duration of public attention
Global response time was defined as the time between the day when the WHO was notified of the outbreak in Wuhan, and the start of the RSV related to COVID-19 14 . The duration of public attention is the time between the beginning of the RSV of the general terms related to COVID-19 and its maximum peak 14 . Local response time was defined as the time between the date in which the first case in each country and the maximum peak of searches.

Epidemiological data of COVID-19
The CSSE database is publicly available on GitHub (https://github.com/) 17,18 , which allows a realtime record of confirmed cases, deaths, and recoveries of COVID-19 from every country to be maintained, using DXY, a platform directed by the Chinese medical community (https://portal.dxy. cn/), as its main data source. Data is updated in a semi-automatic manner, monitoring and requesting information from government websites, as well as the review of social network sites and local news. In addition, it shows proper alignment with the daily reports of the WHO and the Chinese Center for Disease Control and Prevention 18 .
Cad. Saúde Pública 2021; 37(10):e00270720 New cases and daily deaths were calculated with the accumulated data. In this way, the epidemiological indicators analyzed in this study were: total confirmed cases, mean new daily cases, mean incidence (per 100 inhabitants), total deaths, mortality (per 100,000 inhabitants), lethality rate ([cumulative deaths/cumulative confirmed cases]*100) and the percentage of total confirmed cases by total population. United Nations total population data by country were used 23 .

Statistical analysis
The RSV values reported as "< 1" were replaced by 0.5 to facilitate analysis, as performed in a previous study 24 . The arbitrary value used in this replacement would not significantly alter the analysis as long as it is between 0 and 1. Analysis and graphs were done in Stata 14 (https://www.stata.com). A linear time series analysis of the RSV related to COVID-19 is presented, as well as new cases, daily deaths, and main concerns. Furthermore, scatterplot graphs were made utilizing the mean RSV by country and its epidemiological indicators.
Spearman's correlation coefficient was calculated (due to the non-normality of the data), considering weak (r ≤ 0.35), moderate (0.36-0.67) and strong (0.68-1.00) 25 and considering p < 0.05, significant. Correlation was calculated between mean RSV and COVID-19 per country and its epidemiological indicator. Spearman's analysis of lag correlation (p < 0.05) was performed between the number of daily new cases and the daily RSV on COVID-19 per country, to determine if an increase in the RSV is correlated with a subsequent increase in new cases of COVID-19, as previous studies showed 11,26 .

Ethical considerations
This study was guided by the principles of scientific and ethical integrity. Its approval by an ethics committee was not necessary because the data used is anonymous and freely accessible.

Relationship between epidemiological indicators and interest about COVID-19
No statistically significant correlation was found between the mean RSV of each country and epidemiological indicators such as: percentage of the total population that presented COVID-19, mean incidence per 100,000 inhabitants, observed lethality rate, total confirmed cases, mean daily new cases, accumulated deaths, and deaths per 100,000 inhabitants ( Figure 1).

Trends of interest for COVID-19 and its relationship with daily new cases and deaths
In most countries, the presence of three main search peaks with variable magnitude were observed approximately on January 30, 2020 (± 18 days), February 26, 2020 (± 8 days) and March 19, 2020 (± 10 days), respectively. The mean magnitude of these peaks is around 18%, 25% and 100% for the first, second, and third peak respectively. Furthermore, a general decrease in searches can be observed in most countries. For more details, see Figure 2.

Global and local response time, and duration of public attention
The mean global and local response time were 20.2 ± 1.2 days and 16.7 ± 15 days, respectively. The duration of public attention was 64.8 ± 12.5 days. The local response time was close to zero in Cuba, El Salvador, Guatemala, Nicaragua, Panama, Puerto Rico, Uruguay and Venezuela.

Interest in topics related to COVID-19 per country
The most interesting topics related to COVID-19 were the country's situation regarding coronaviruses (100.00 ± 0.00), coronavirus symptoms ( Table 1 presents these concerns for each country.

Trends of the 5 main topics related to COVID-19 by countries
In most countries (17/20) a first peak of searches was observed near January 30, 2020 for topics about the country's situation, symptoms, definition, while searches for prevention, face masks, quarantine, hand-washing and gel alcohol remain constant. However, since the last week of February, a first irregular increase in most searches (highest peak for the country's situation and symptoms) was found and a later decrease in other searches, with some exceptions (Figure 3).   Home or natural remedies

Lag correlation between daily new cases and Internet queries for topic regarding COVID-19
The correlation between daily new cases and RSV for COVID-19 topic was significant (p < 0.001) and strong in eighteen out of twenty countries (r ~ 0.72), moderate in El Salvador (r = 0.61) and weak in Nicaragua (r = 0.35). In the lag period, all correlations were significant (p < 0.05), with a high correlation (r = 0.79) 5.76 ± 13.35 days earlier for daily new cases (Figure 4).

Interest about COVID-19 in Latin American and Caribbean countries, and its relationship with epidemiological indicators
Most Latin American and Caribbean countries showed high interest for COVID-19, except Cuba, El Salvador, Honduras, Nicaragua and Puerto Rico. These countries presented approximately 2% of the interest shown by Peru (the country with the highest interest). In a previous study, interest about COVID-19 was higher in countries with the most confirmed cases at that moment (Italy, France and Spain) 12 . This suggests that the number of confirmed cases would be a factor related to popular interest for COVID-19. However, we found no significant correlation between epidemiological indicators (such as total confirmed cases) and the mean relative interest by country. Possibly intervening factors or external causes of this relationship were not explored, thus not allowed to find it. Some factors could be the proportion of the population with Internet access, dissemination of these indicators through official and unofficial media, popularity and use of different sources of information, spread of news via social network sites, concern for national and international reality, Human Development Index (HDI), and others 14,27 . Future studies should investigate the role of these and other factors to better understand the applicability of different tools such as Google Trends, in Latin American and Caribbean countries.

Trends of interest in COVID-19 and its relationship with daily new cases and deaths
The three major peaks in searches observed, in most countries, could be explained by their proximity to high impact national and international events. The first peak would be related to the declaration of a Public Health Emergency of International Concern (PHEIC) by the WHO ( January 30, 2020) 28 and the declaration of national alerts by health authorities in countries such as Colombia 15 . This is consistent with findings in United States, United Kingdom, Canada, Ireland, New Zealand, Australia 14 , China 7,12,29 , Taiwan 11 , Republic of Korea, Japan, Germany, Iran, Italy 30,31,32 , and Spain 29 , which also showed an increase in their searches near that date. The second main peak occurred around the confirmation of the first case of COVID-19 in Latin America that took place in Brazil (February 26, 2020) 33 . This could be explained by the impact of the notification of cases of a country in the interest and the searches of neighboring countries, as in nearby states of the United States 34 . Future studies should deeply analyze the impact of notable events in each country on their epidemiological indicators for a better comprehension. The third peak would correspond to the declaration of a pandemic by the WHO (March 11, 2020) 28 , the confirmation of the first cases and deaths, and the establishment of mitigation or suppression policies during March and April in each country, which is consistent with previous studies 11,14,29,30,31,32,34,35,36 . A trend of progressive decrease in interest in COVID-19 is also observed in most countries, even despite the increase in cases and deaths, similar to prior investigations 12,29,30,34,36 . This limits the use of Google Trends as an epidemiological surveillance tool in the long term, as has been suggested in background studies 7,13,15,30,32,37 . This can be explained by an increase in the global awareness due to an effective national dissemination 12 , or a decrease in the interest of people over time, similar to viral news of rapid rise and rapid fall 14,29,30,38 . However, particular features of each country would impact the trends evolution, therefore, further research is needed.

Global and local response time and duration of public attention
Latin American and Caribbean countries began their searches for COVID-19 approximately 20 days after the declared outbreak in Wuhan, similar to Ireland and New Zealand which started 21 days later 14 , but different from the United States, United Kingdom, Canada and Australia, whose searches began 3, 10, 14, and 10 days later, respectively 14 . This difference might be explained by the confirmation of cases in neighboring countries, since the first case in the Americas region was confirmed on January 21, 2020 (United States). The duration of public attention was highly variable between countries, but on average (65 days) was higher than the United States, United Kingdom, Canada, Ireland, New Zealand and Australia, which presented 27, 23, 13, 12, 11 and 22 days, respectively 14 .
It is possible that a shorter attention time favors the spread of the outbreak 14 . However, there would be an intrinsic dynamism according to the period analyzed. The local response time was on average 17 days, but it was close to zero in Cuba, El Salvador, Guatemala, Nicaragua, Panama, Puerto Rico, Uruguay and Venezuela. This could be due to the impact of the first confirmed cases on the public interest, even contributing to the low number of confirmed cases in these countries, although it will be necessary to test this hypothesis in forthcoming studies.

Interest in topics related to COVID-19 and Trends of the top 5 topics related to COVID-19
The main topics related to COVID-19 with the highest mean interest in Latin America countries were the country's situation regarding COVID-19, symptoms, mask, definition of coronavirus, quarantine, and social isolation. This is comparable to the United States, United Kingdom, Canada, Australia and New Zealand, where searches about situation in the country, definition of coronavirus and its symptoms were predominant 14,34 , unlike Iran 13 or Taiwan 11 where topics related to prevention, such as hand washing and use of antiseptics, were the most popular. This way, despite the differences between countries, there are common concerns, emphasizing symptoms, but showing a lesser interest in preventive measures, at least in the early stages 34 . The evolution of trends follows a variable pattern by country. Some countries such as Bolivia and Mexico had a rapid growth in all their searches, including preventive measures. In others, preventive measures occurred days or weeks later, and to a lesser extent. In Brazil, searches about masks remain relatively constant and in moderate magnitude, different from other countries that showed lower interest. This could be due to effective communication interventions by the health authorities, as a consequence the population did not need to search for additional information on the Internet, explaining the decrease in interest. Another explanation could be ineffective interventions, thus generating a constant search trend.

Lag correlation between interest on COVID-19 and confirmed cases
A strong and positive correlation was found between searches for COVID-19 and the subsequent increase in the number of daily confirmed new cases after approximately 14 days. However, the correlation was moderate and weak in El Salvador and Nicaragua, respectively. One possible explanation is that the regions with the lowest correlation have less access to the Internet 11 . Compared with other studies, this lag time and the magnitude of correlation was greater or similar than other countries such as Taiwan (r = 0.70) from 1 to 3 days 11 , China (r = 0.96) from 5 to 10 days 7 , Germany, Austria, Australia, Japan, Egypt, United Kingdom (r ~ 0.70) with 11.5 days on average 30 . Furthermore, the instantaneous correlation (lag-0) in most Latin American and Caribbean countries was strong (r ~ 0.75), similar to other studies in Australia, Austria, Germany, Egypt, Japan, United Kingdom (r ~ 0.60), Spain, Italy 32 , but different from countries such as the United States, United Kingdom, Canada, Ireland, Australia, and New Zealand, which presented weak and moderate correlations (r ~ 0.4) 14 . This variable correlation across studies could be explained by the fact that some studies used an accumulated number of cases for lag correlation analysis, but others used a number of daily new cases 30 . Another investigation, in Italy, found a correlation using more specific terms such as "cough" or "fever" symptoms, compared to general symptoms 39 . Although this suggests that people's interest is a possible predictor of first cases of an outbreak in each country 7 , future studies should control other factors to elucidate in a better way the predictive value of Google Trends searches. Our findings give an idea that the Latin American and Caribbean population had more time to obtain information about COVID-19, a period of time that should have been used by governments because in these circumstances people are more sensitive, participative and receptive to information 13 .

Limitations
Our study, like other studies using Google Trends, has some limitations. We used only one data source (Google Trends) and it could generate a possible selection bias. The study units were the countries; therefore, important subnational factors could not be evaluated. The representativeness of the sample studied cannot be guaranteed due to the heterogeneous Internet access in Latin American and Caribbean countries. The complexity and dynamism of epidemiological data diminish external validity at the future stages of COVID-19 pandemic. There is a possibility that the selection of the search terms is incomplete due to linguistic complexity and variability, and cultural worldview of each country, despite having performed a systematic process of identification of terms. In addition, our results cannot be replicated because the algorithm of Google Trends is not publicly accessible and it could change over time 34 .

Strengths
Despite its limitations, this is the first study to analyze and explore the quantitative and qualitative relationship of epidemiological indicators of COVID-19 and the concerns of population on this subject, with the largest number of countries studied until now (20 countries) and from the same geographical region (Latin America and the Caribbean). In addition, we used several terms related to topics regarding COVID-19, having previously verified that they were the most used through multiple tests, unlike studies in China 7 , Taiwan 11 , among others, that used one or a few terms, and even other studies did not mention or make the terms used accessible 14,15 , making it difficult to analyze the validity and replicability of their results, as mentioned in methodological Google Trends studies 4,5 . Furthermore, to the best of our knowledge, this is the first study to compare the mean interest in COVID-19 and its relationship with several epidemiological indicators in each country, simulating an ecological analysis.

Recommendations
Future studies should explore the correlation between adjusted epidemiological data and other search terms. Additionally, other data sources such as social network sites, national call centers for COVID-19, and the media should be added to the analysis.

Conclusions
Google Trends can be used to know the current status and evolution of the queries, thoughts, concerns, and needs of the study population in multiple periods. Health-policy makers could utilize these brief moments of active searching of the population to provide relevant information for either preventive reasons or to fight infodemics 1 . Our findings indicate that health authorities need to provide information in a massive way days before the confirmation of cases in the country, since people would be looking for information at that time. In this way, authorities can anticipate infodemics, which in many cases distort reality, inducing mass panic and dangerous practices, which are deeply rooted in public awareness despite future valid information. The correlation found between the number of new cases and interest for COVID-19 could set a framework for future predictive models. The high response time values in Latin American and Caribbean countries compared to high-income countries provides us with an idea of the low awareness about an international issue, which would go unnoticed unless it became a very close threat. In summary, interest for COVID-19 in Latin America and the Caribbean is high in most countries. Its national trends were influenced by international events, such as the first case reported in the United States and Brazil, or the declaration of the outbreak as a PHEIC, then declared as a pandemic by the WHO, as well as national events, for instance, first confirmed cases and deaths in its territory or in neighboring countries, and the implementation of mitigation or suppression policies to a lesser extent. However, the degree of interest for COVID-19 does not clearly reflect the magnitude of epidemiological indicators in a country. The response time and the lag correlation in Latin America and the Caribbean were greater than European and Asian countries, suggesting that they had more time to provide information, failing to take an advantage of this opportunity. It is remarkable that searches in most Latin American and Caribbean countries have focused little on preventive measures. In most countries, a strong correlation between searches for COVID-19 and the number of daily new cases was found, therefore, the number of searches could serve as a predictive indicator of new cases and future studies are necessary to prove this hypothesis. This is the first infodemiological study to approach most of the countries in a continent, and we recommend continuing with more studies with a macroregional focus.