How and why is the COVID-19 crisis impacting trust in institutions? A two-wave longitudinal study in Italy

Using a quota panel of the adult Italian population (N = 1,192), we conducted a two-wave longitudinal study to analyse how and why the COVID-19 crisis affected Italians' trust in institutions. Between May-June 2019 (before COVID-19) and April 2020 (the peak of the pandemic), trust in political institutions (political parties, parliament, and local administrations) and in super partes national institutions (the President of the Republic, the judiciary, and the police) increased, whereas trust in international institutions (the European Union and the United Nations) decreased. A mediation model showed that anxiety and collective angst were positively associated with seeking information about COVID-19 from institutional and relational sources. In turn, seeking information from institutional sources further increased trust in institutions, whereas seeking information from social media and friends did not. The same pattern held for trust in epistemic authorities (the national health care system, civil protection and scientists), which was measured only in the second wave. These results suggest that it is extremely important to pay attention to public communication strategies, as they play a crucial role in transforming individual and collective distress in times of crisis into trust in institutions, even net of the effect of information from relational sources. The strengths and limitations of the study are discussed, and directions for possible future research are suggested.

THE CONTENT OF COVID-19 INFORMATION SEARCHES AND VACCINATION INTENTION: AN IMPLICATION FOR RISK COMMUNICATION.

OBJECTIVE: The main objective of this study was to examine the association between COVID-19 information search activities and vaccination intention. METHODS: Cross-sectional data were collected using online surveys. Independent variables included COVID-19 information search on the 1) science of viral effects of COVID-19 on the body, 2) origin of COVID-19, 3) symptoms and outcomes, 4) transmission & prevention, 5) future outbreak, and 6) policies/procedures to follow. The outcome variable was vaccination intention. Multivariable regression analysis was conducted. RESULTS: Participants (N= 501) had a mean age of 32.44±11.94 years, were 55.3% female, and 67.9% White. Most COVID-19 information search was on symptoms and outcomes (77.7%), and policies/procedures to follow (69.9%). Intention to vaccinate against COVID-19 was higher among participants who searched for information on the science of viral effects of COVID-19 on the body (ß=0.23, 95% Confidence Interval (95% CI)= 0.03-0.43; p=0.03) and policies/procedures to follow (ß =0.24, 0.03-0.41, p= 0.02). CONCLUSIONS: People who searched for information about 1) the science of viral effects of COVID-19 and 2) policies/procedures recommendations also reported higher vaccination intention. Risk communication seeking to increase vaccination should meet the consumer's information demand by prioritizing the scientific rationale for COVID-19 vaccination and clarifying what policies/procedures are recommended.

Gastronomic tourism in India-a transaction cost perspective

The purpose of this chapter is to present an economic perspective of how understanding individual decision-making can be impacted by transactional costs, and benefits in the context of gastronomic tourism. This chapter broadly discusses observable and perceived information search, bargaining and decision, policing and enforcement costs, and benefits in the context of gastronomic tourism in India. The proposed framework incorporates elements of Indian gastronomic offerings for tourists. Implications are discussed for future research and in the backdrop of the post-COVID-19 crisis. © 2022 Amit Sharma.

Driving a difference: the role of the Covid-19 pandemic in U.S. consumers' information search behaviors and purchasing of Japanese automobiles

PurposeWhile prior research has investigated factors that predict consumers' information search behaviors as they relate to automobiles, such studies were conducted prior to the COVID-19 pandemic. Given that the pandemic has necessitated lockdowns, social distancing, business closures and other disruptions to normal shopping activities, consumer information search behaviors have also been substantially altered as the psychological distance between consumers and marketers has increased. Thus, this study aims to examine these changes and identify patterns of search behavior for a major durable product: automobiles.Design/methodology/approachUsing survey data from before and during the pandemic, the study implements Finite Mixture Modeling to unveil latent segments of U.S. consumers' search behaviors and choices for Japanese automobiles. This analytic method enables capturing consumer unobserved heterogeneity through mixing probabilities guided by individual characteristics. These segments are determined based on consumers' information search for online and offline marketer-controlled and nonmarketer-controlled sources.FindingsThe study identifies that two segments of consumers emerge both prior to the pandemic and during the pandemic. These empirically validated findings indicate that the pandemic has led to shifts in consumers' information search behaviors for Japanese automobiles by relying more on nonmarketer-controlled sources of information.Originality/valueThis work is among the first comprehensive empirical analyses of consumer search for a major durable product by comparing pre- and during pandemic patterns. Using analytics and econometrics, the first-hand analysis findings offer meaningful implications for marketers and product managers in the automotive industry.

E-páciensek Magyarországon: Digitális egészséggel kapcsolatos ismeretek, szokások egy országos reprezentatív felmérés tükrében.

INTRODUCTION: The impact of digitalisation on healthcare has become one of the most important research areas in recent years. The COVID-19 epidemic has been a major driver in this process. OBJECTIVE: In our nationally representative, population-based survey (n = 1500), we sought to find out how patients in Hungary use digital health tools, what the advantages and disadvantages of introducing and using these technologies are, and how this is transforming the doctor-patient relationship. METHODS: We conducted a national representative telephone questionnaire survey (CATI). The sample is representative of the adult population of Hungary in terms of gender, age, type of settlement and education. RESULTS: 81.3% of the respondents use the internet - 87.6% of whom use it in relation to health and illness, too. This is 71.2% of the total sample. Websites (76.3%) and social media (47.3%) are the main sources of information on the internet; e-prescription and online appointment booking are the most known by patients (92.6% and 85.2%, respectively), while almost half of the respondents would like to try telehealth and would welcome a recommendation from their doctor on reliable websites, apps and sensors. Our results highlighted that the effect of the type of settlement on access to digital health is not significant, but that the effect of age, education and gender is decisive. CONCLUSION: Data from our national representative population survey indicate that the use of digital health solutions is already an integral part of care and that there is a strong demand for further digital options. Orv Hetil. 2022; 163(29): 1159-1165.

Gender and Culture Differences in Consumers' Travel Behavior during the COVID-19 Pandemic

COVID-19, as a rampant health crisis, lies at the basis of fluctuating perceptions affecting decreased demand among travelers. Recent studies have witnessed a growth of interest in the interactions between tourists' behaviors and other factors with the potential to moderate such behavior during travel. However, it remains to be discussed whether the influence of demographic aspects, especially cultural and gender differences, on tourism behaviors will be more prominent during COVID-19. The current empirical research aims to integrate demographic variables, including gender and culture, with tourists' behavior in terms of their choice of companions, travel destinations, and mode of transportation. According to the research findings, people in other countries have greater desire to travel than Chinese tourists who, in any case, prefer to travel with friends. Tourists from other countries are more willing to travel by plane and by car. Males show a more positive attitude than females to these means of transportation. Moreover, the interactive effect of gender and nationality reveals that female travelers from mainland China put the train or bus top on their agenda. These theoretical findings have the potential to provide actionable insights into how policymakers and service providers can make adjustments to bring back tourism stifled by COVID-19.

Psychological Effect of Discrete Outbreak Events of COVID-19 on Health Information Search in China.

Community transmission events occasionally happened in the long-term pandemic, which led to repeated outbreaks of COVID-19. In addition to potential physical threats, the outbreaks could also lead to psychological stress and influence their health behaviors, especially for vulnerable people. It poses a great challenge to both physical and mental health management. However, little is known about the impacts of discrete outbreak events of COVID-19 on people's reactions to health concerns in the long-term pandemic period. In the current study, we discussed the impact of discrete outbreak events of COVID-19 on health information search for specific symptoms in China from a perceptive of susceptibility. The empirical study was conducted after the first wave of outbreak events ended in China from June to October 2020. Three typical outbreak events happened during this period, and a total of 1800 search index data for 60 cities in China crawled from Baidu search engine were included in the data set. Using the real-world searching data, we conducted a panel data analysis to examine the psychological effect of discrete outbreak events on the symptom search and the moderation effect of the geographical distance. It was found that discrete outbreak events significantly increased the symptom search, and its impacts were various in different regions. More health information search caused by discrete outbreak events was found in cities which were closer to the outbreak area. Implications for healthcare were discussed.

Post-Pandemic Tourism Marketing Strategy Towards Visiting Intentions: The Case of Indonesia

Tourist behavior has changed a lot because of the COVID-19 pandemic. This study aims to determine the intention of Muslim tourists to visit after Covid-19 pandemic with considerations of halal tourism literacy and perception of Covid-19 and the integration of the Motivation Opportunity Ability (MOA) concept framework. This research has a significant contribution to the halal tourism literature to predict the behavior of Muslim tourists by considering health and safety issues after the Covid-19 pandemic. Data was collected through an online survey with 270 respondents. The data obtained were then analyzed using CFA-SEM on the Smart-PLS 3.2.9 software. The data processing results showed that halal tourism literacy, opportunity, perception of Covid-19, and motivation had direct-significant effects on the intention to visit. Likewise, the indirect effects of tourism information search on the intention to visit could be mediated by halal tourism literacy. However, tourism information search has no significant direct effect on the intention to visit. In addition, the indirect effect of opportunity and perception of Covid-19 on the intention to visit could not be mediated by motivation. © 2022, SRAC - Romanian Society for Quality. All rights reserved.

Driving a difference: the role of the Covid-19 pandemic in U.S. consumers’ information search behaviors and purchasing of Japanese automobiles

PurposeWhile prior research has investigated factors that predict consumers' information search behaviors as they relate to automobiles, such studies were conducted prior to the COVID-19 pandemic. Given that the pandemic has necessitated lockdowns, social distancing, business closures and other disruptions to normal shopping activities, consumer information search behaviors have also been substantially altered as the psychological distance between consumers and marketers has increased. Thus, this study aims to examine these changes and identify patterns of search behavior for a major durable product: automobiles. Design/methodology/approachUsing survey data from before and during the pandemic, the study implements Finite Mixture Modeling to unveil latent segments of U.S. consumers' search behaviors and choices for Japanese automobiles. This analytic method enables capturing consumer unobserved heterogeneity through mixing probabilities guided by individual characteristics. These segments are determined based on consumers' information search for online and offline marketer-controlled and nonmarketer-controlled sources. FindingsThe study identifies that two segments of consumers emerge both prior to the pandemic and during the pandemic. These empirically validated findings indicate that the pandemic has led to shifts in consumers' information search behaviors for Japanese automobiles by relying more on nonmarketer-controlled sources of information. Originality/valueThis work is among the first comprehensive empirical analyses of consumer search for a major durable product by comparing pre- and during pandemic patterns. Using analytics and econometrics, the first-hand analysis findings offer meaningful implications for marketers and product managers in the automotive industry.

Dark side consequences of cyberchondria: an empirical investigation

Purpose>Cyberchondria refers to the repeated and excessive search for health-related information online, associated with increased health anxiety. This paper utilizes the protection motivation theory to investigate the negative behavioral consequences of cyberchondria that pose health risks to users, such as trust in the physician, propensity to self-medicate, and therapy compliance.Design/methodology/approach>The data for the study were collected from a sample of 317 participants in India using an online survey and form. The analysis was conducted using structural equation modeling.Findings>Cyberchondria negatively affects the trust in physician and positively affects the propensity to self-medicate. Trust in physician negatively affects the propensity to self-medicate and positively affects therapy compliance. Furthermore, trust in physician partially mediates the relationship between cyberchondria and the propensity to self-medicate and completely mediates the relationship between cyberchondria and therapy compliance. Cyberchondria has no direct significant effect on therapy compliance.Research limitations/implications>Researchers need to examine other behavioral or psychological factors affected by the reduced trust in physicians due to cyberchondria.Practical implications>Physicians and health care providers should refocus on patients with cyberchondria and regain their trust through quality interactions and services. Policymakers may consider regulating online health information publication to set the standards of information quality and source. Websites and platforms publishing health information online should distinctly label verified information.Originality/value>This study investigates the damaging effects of cyberchondria's behavioral consequences that pose health risks to users.

Research on older people's health information search behavior based on risk perception in social networks-A case study in China during COVID-19.

Objective: COVID-19 has caused great loss of human life and livelihoods. The dissemination of health information in online social networks increased during the pandemic's quarantine. Older people are the most vulnerable group in sudden public health emergencies, and they have the disadvantage of infection rates and online search for health information. This study explores the relationship between the health risk perception and health information search behavior of older people in social networks, to help them make better use of the positive role of social networks in public health emergencies. Method: Based on the Risk Information Search and Processing model, and in the specific context of COVID-19, this study redefines health risk perception as a second-order construct of four first-order factors (perceived probability, perceived severity, perceived controllability, and perceived familiarity), and constructs a research model of the health risk perception and health information search behavior of older people. An online survey of people over 55 years old was conducted through convenience sampling in China from February 2020 to March 2020. Results: A total of 646 older adults completed the survey. The structural equation model showed that health risk perception is a second-order factor (H1), that health risk perception has significant positive effects on health information search behavior (H2: ß = 0.470, T = 11.577, P < 0.001), and that health risk perception has significant positive effects on affective response (H3: ß = 0.536, T = 17.356, P < 0.001). In addition, affective response has a significant positive mediating effect on information sufficiency (H4: ß = 0.435, T = 12.231, P < 0.001), and information sufficiency has a significant positive mediating effect on health information search behavior (H5: ß = 0.136, T = 3.081, P = 0.002). Conclusion: The study results indicate that the health risk perception of older people during the COVID-19 outbreak not only directly affected their health information search behavior, but also had an indirect impact on their health information search behavior by affecting affective response and information sufficiency.

Antecedents of customer mortgage shopping satisfaction: the mediating role of search intensity, evidence from the NSMO survey

Purpose The purpose of this paper is to examine the antecedents of customer satisfaction during mortgage purchases. Mortgage demand in the USA has reached an all-time high because of an increase in housing demand after COVID-19. Nonetheless, several customers are dissatisfied with their service providers. Customers who actively search the market gain more information about mortgage providers and use this information to define expectations for lenders. The only way there will be customer satisfaction is if lenders meet these expectations. Therefore, it is economically significant for mortgage lenders to discover the antecedents of mortgage satisfaction. Design/methodology/approach In this study, the partial least squares approach was used to test the hypothesis that satisfaction was influenced by objective knowledge, familiarity and search intensity among a sample of customers (n = 4,512) from the National Survey of Mortgage Originations who had purchased a mortgage in the USA between 2019 and 2020. Findings The results of structural modelling showed that familiarity (beta = 0.23 and p = 0.01) with and knowledge (beta = 0.16 and p = 0.01) of mortgages significantly affected consumer satisfaction during mortgage purchase. Search intensity (p = 0.01) mediated the relationship between knowledge, familiarity and satisfaction. Research limitations/implications The primary implication is that mortgage service providers should prioritise educating customers about the mortgage buying process on their websites and in person. So managers must actively assist clients in having realistic expectations. Second, mortgage companies should establish a presence on third-party mortgage comparison websites to ensure that customers actively consider alternatives, thereby increasing customer satisfaction. Originality/value This study is unique in being an exploratory study to examine the antecedents of mortgage satisfaction using a public data set. This study uniquely examines the National Survey of Mortgage Originations data set with partial least squares approach to examine underlying customer attitudes.

COVID-19 Korkusunun Aşı Tutumuna Etkisinde Bilgi Arama Davranışının ve Aşı Bilgisi Ínancının Aracı Rolü

Amaç: Araştırmada bireylerin COVID-19 korkularının, COVID-19 bağışıklaması için üretilen aşılarla ilgili tutumlarına etkisini belirlemek, bu etkide bireylerin aşılarla ilgili bilgi arama davranışlarının ve aşılar ile ilgili inançlarının aracı rolünü belirlemek amaçlanmıştır. Gereç ve Yöntem: Araştırmada beş bölümden oluşan online anket formu aracılığıyla veriler toplanmıştır. Araştırmanın evrenini Konya ilinde ikamet eden 18 yaş üstü bireyler oluşturmaktadır. Araştırma, katılmaya gönüllülük gösteren 384 kişi ile gerçekleştirilmiştir. Bulgular: Araştırmada bireylerin COVID-19 korkularının olumlu aşı tutumunu etkilediği (β=0.25, t=6.44, p<0.05) ve bu etkide aşı bilgisi arama davranışının aracı rolünün olduğu (β=0.12, t= 4.91, p<0.05) ve COVID-19 korkusunun olumlu aşı tutumuna etkisini güçlendirdiği bulunmuştur (β=0.37). Çalışmanın bir diğer bulgusuna göre katılımcıların aşı bilgisi inançları olumlu aşı tutumunu pozitif yönlü (β=0.45, t=12.14, p<0.05), olumsuz aşı tutumunu ise negatif yönlü (β=-0.47, t=11.33, p<0.05) etkilemektedir. Sonuç: Toplumda olumlu aşı tutumunu geliştirmek için politika yapıcıların bireylerin aşı tutumlarını etkileyen faktörleri göz önünde bulundurmasının COVID-19 pandemisi ile mücadelede önemli bir rol oynayacağı düşünülmektedir.Alternate :Objective: The study aimed to determine the effect of individuals' COVID-19 fears on their attitudes towards COVID-19 and to determine the mediating role of individuals' vaccine information belief and vaccine information-seeking behaviors in this effect. Materials and Methods: Data was collected through an online survey form consisting of five parts in the study. Individuals over the age of 18 residing in Konya province constitute the universe of the research. The study was conducted with 384 people who volunteered to participate. Results: According to the research findings, individuals' fear of COVID-19 affects positive vaccination attitude (β=0.25, t = 6.44, p <0.05) and vaccine information-seeking behavior has a mediator role in this effect (β=0.12, t=4.91, p <0.05). Accordingly, fear of COVID-19 and the behavior of seeking vaccine information together create a more positive vaccine attitude (β=0.37). According to another finding of the study, participants' beliefs about vaccine knowledge affect positive vaccine attitude positively (β=0.45, t=12.14, p<0.05) and affect negative vaccination attitude negatively (β=-0.47, t=11.33, p<0.05). Conclusion: It is thought that policymakers' consideration of the factors which can affect individuals' vaccine attitudes to improve positive vaccination attitudes in society will play an important role in combating the COVID-19 pandemic.

Fight Against COVID-19 Misinformation via Clustering-Based Subset Selection Fusion Methods

The worldwide COVID-19 pandemic has brought about a lot of changes in people's life. It also emerges as a new challenge to information search services. This is because up to now our understanding about the virus is still limited, and there is a lot of misinformation online. In such a situation, how to provide useful and correct information to the public is not straightforward. Responsibility of search engines is crucial because many people make decisions based on the information available to them. In this piece of work, we try to improve retrieval quality via the data fusion technique. Especially, a clustering-based approach is proposed for selecting a subset of systems from all available ones for finding relevant, credible, and correct documents. Experimented with a group of runs submitted to the 2020 TREC Health Misinformation Track, we demonstrate that data fusion is a very beneficial approach for this task, whether measured by some traditional metrics such as MAP or some task specific metrics such as CAM. When choosing 17 runs, which is one third of all component retrieval systems available, the linear combination method is better than the best component retrieval system by 31.42% in MAP and 21.72% in CAM. The proposed methods are also better than the state-of-the-art subset selection method by a clear margin. © 2022 Copyright @Anonymous for this paper by its authors.

Mapping of electronic searches for the most popular drugs in the COVID-19 pandemic in Brazil

The study aimed to map electronic searches for most popular drugs in the COVID-19 pandemic in Brazil. This is an exploratory, retrospective and mixed study. The data were collected in July 2020 through Google Trends®, filtered from the last 90 days of research, wich were related to drugs, ivermectin, chloroquine, hydroxychloroquine, dexamethasone and azithromycin. To identify the most visited newscasts, Google News® was used. The Brazilian population conducted electronic searches among the five investigated drugs, but chloroquine and ivermectin predominated. Furthermore, as the disease evolved in Brazilian states, the influence of scientific and government research in the search for these drugs was noticeable. It is noteworthy that it is essential for the management of the pandemic that communication strategies be drawn up, based on social responsibility and the perspective of popular empowerment, with a focus on the identification of false news and the conscious use of information acquired virtually. © 2021, Centro Nacional de Informacion de Ciencias Medicas. All rights reserved.

The role of the use of digital information in the performance and collaboration of university students in extreme economic situation

The purpose of this study was to test the relationship between the use of digital information in the performance and collaboration of university students, in extreme economic situation in Peru in a public university, the study makes an approach to different factors related to information management and its relationship with student satisfaction and loyalty, through the Household Targeting System (SISFOH) of the Ministry of Education (MINEDU), which qualifies university students as poor and / or in extreme poverty, to be benefited by the mobile internet access service program in 3G and 4G. The study comprises two phases, firstly, an exploratory factor analysis using IBM-SPSS, secondly, for confirmatory analysis, The PLS-SEM methodology, Modeling of Structural Equations with Partial Least Squares, was used. The model was validated with a sample of 233 students at a public university. The study would reveal a causal relationship of the different factors of the structural model, based on the different behaviors of digital information that university students experience in times of quarantine as a preventive measure to avoid contagion by Covid-19. © 2021 IEEE.

The effect of Covid-19 in digital media use of Finnish physicians - Four wave longitudinal panel survey.

BACKGROUND: Covid-19 pandemic has boosted digitalization in healthcare, as mobility restrictions and social distancing rules have made healthcare providers to adopt digital tools to replace or complement face-to-face interactions. PURPOSE: We discuss the effects of Covid-19 pandemic on physicians' use of digital media. We examine whether Covid-19 conditions have changed how physicians use internet resources for information search, how they engage in social media, and their attitude towards online events. BASIC PROCEDURES: The study was done as a longitudinal panel survey in four waves. The sample was a panel including active physicians in Finland. The panel was updated annually. Identical surveys were administered in 2018, 2019, 2020 and 2021. Spring 2020 was the time when Finland executed mobility restrictions and re-organization of healthcare because of pandemic. Comparing results of the survey before and after Covid-19 restrictions gives us a unique opportunity to do comparative analysis of Covid-19 effects. MAIN FINDINGS: Our results show that the use of digital media for information search stayed relatively stable without statistically significant change during the four-year period covered in the study. The use of social media rose steadily from 2018 to 2021 with no significant difference in the trend. However, there was a significant change in the attitude of Finnish physicians on online events. Year 2021, the attitude remained in this more positive level. PRINCIPAL CONCLUSIONS: As use of digital media including social media was already high prior Covid-19 in Finland, our results do not show significant change because of special circumstances introduced in 2020. However, our results show that the attitudes towards online events turned more positive during Covid-19 related restrictions. This could indicate that Covid-19 era has triggered a change that might continue also when pandemic related restrictions will be removed.

Travel booking intentions and information searching during COVID-19

PurposeThis exploratory paper examined consumers' use of information sources and intentions to book future travel in the early stages of the COVID-19 pandemic. Authors expected that general news and travel information accessed on the Internet would impact travel intentions.Design/methodology/approachData were collected from 547 US online consumer panelists when all states were under “stay-at-home orders” in April 2020.FindingsDifferences existed in the impact of three stressors (health, personal and financial) on the use of information sources (general news and travel sources) and ultimately on booking intentions.Practical implicationsThe lack of influence health stressors had on travel research activity raises a question for the travel industry as to critical choice of messages to be imparted during pandemic environments.Originality/valueA three-factor model was used to assess the determinants of booking intentions during uncertain times. Authors applied the stimulus-organism-response (S-O-R) framework to explore information searching for travel during the pandemic.

Interests, Motives, and Psychological Burdens in Times of Crisis and Lockdown: Google Trends Analysis to Inform Policy Makers.

BACKGROUND: In the face of the COVID-19 pandemic, the German government and the 16 German federal states implemented a variety of nonpharmaceutical interventions (NPIs) to decelerate the spread of the SARS-CoV-2 virus and thus prevent a collapse of the health care system. These measures comprised, among others, social distancing, the temporary closure of shops and schools, and a ban of large public gatherings and meetings with people not living in the same household. OBJECTIVE: It is fair to assume that the issued NPIs have heavily affected social life and psychological functioning. We therefore aimed to examine possible effects of this lockdown in conjunction with daily new infections and the state of the national economy on people's interests, motives, and other psychological states. METHODS: We derived 249 keywords from the Google Trends database, tapping into 27 empirically and rationally selected psychological domains. To overcome issues with reliability and specificity of individual indicator variables, broad factors were derived by means of time series factor analysis. All domains were subjected to a change point analysis and time series regression analysis with infection rates, NPIs, and the state of the economy as predictors. All keywords and analyses were preregistered prior to analysis. RESULTS: With the pandemic arriving in Germany, significant increases in people's search interests were observed in virtually all domains. Although most of the changes were short-lasting, each had a distinguishable onset during the lockdown period. Regression analysis of the Google Trends data confirmed pronounced autoregressive effects for the investigated variables, while forecasting by means of the tested predictors (ie, daily new infections, NPIs, and the state of economy) was moderate at best. CONCLUSIONS: Our findings indicate that people's interests, motives, and psychological states are heavily affected in times of crisis and lockdown. Specifically, disease- and virus-related domains (eg, pandemic disease, symptoms) peaked early, whereas personal health strategies (eg, masks, homeschooling) peaked later during the lockdown. Domains addressing social life and psychosocial functioning showed long-term increases in public interest. Renovation was the only domain to show a decrease in search interest with the onset of the lockdown. As changes in search behavior are consistent over multiple domains, a Google Trends analysis may provide information for policy makers on how to adapt and develop intervention, information, and prevention strategies, especially when NPIs are in effect.