COVID-19 Infection was characterized as a Pandemic by WHO on the 11th of March 2020.1 After this there were all possible worldwide efforts to increase awareness in the general population about the COVID-19 Infection signs, symptoms, mode of transmission and prevention. The information was spread across all possible mass media communication channels. There were constant updates regarding the data of newly infected cases, deaths, and recoveries. This cross sectional study is conducted with the following objectives: 1. To understand the netizens perception regarding the sources of information available on COVID-19. 2. To understand the netizens populations perception regarding the available information on COVID-19.
Mass media plays a significant role in public outreach and create awareness. Various mass media has their individual reach to the general public. In the current world of information technology availability of information is not an issue. There is in fact excessive availability of information. What makes a big difference is that RIGHT information delivery on RIGHT time and within RIGHT time. After WHO characterized COVID-19 infection as pandemic, mass media played a significant role in creating awareness regarding COVID-19 infection signs, symptoms, mode of transmission and its prevention. There were constant updates in various mass media regarding the data of newly infected cases, deaths, and recoveries. COVID-19 Pandemic has created fears, anxiety, and worries among the general population. There was information given to general public regarding treatment drugs and possibility of vaccine for COVID-19 infection. This created a ray of hope in many. So information in various mass media sources had different types of impact on general population thoughts. This cross sectional study is conducted with the following objectives: 1. To understand the general populations perception regarding the sources of information available on COVID-19. 2. To understand the general populations perception regarding the available information on COVID-19. This Cross sectional study utilizes an electronic google form to get responses from netizens of Al Qassim province of Saudi Arabia regarding the perception of COVID-19 information and information sources. All the questions in the survey are compulsory answerable questions. The settings in the google form are set so that a single respondent can limit the survey response to single time. The Survey Questionnaire contained following sections: Section I: Minimum required personal details Section II: 10 Questions regarding the source of COVID-19 information Section III: 6 Questions regarding perception of the COVID-19 information The questionnaire also carried the following disclaimer: "This Survey will not Collect your Name, Email, Location, and Phone number. We pledge that the data obtained by this survey is for Educational purpose \& scientific knowledge enhancement only. The data will not be transferred or shared with any other third party for commercial interest." The very first part of the Questionnaires seeks responders' consent for giving responses to the survey questions. participation Section II \& III contained all closed ended questions. The Google form link is shared to the netizens of Al Qassim province across relevant Social media platforms.
Study Type
OBSERVATIONAL
Enrollment
385
This Cross sectional study utilizes an electronic google form to get responses from netizens of Al Qassim province of Saudi Arabia regarding the perception of COVID-19 information and information sources. All the questions in the survey are compulsory answerable questions. The settings in the google form are set so that a single respondent can limit the survey response to single time. The Survey Questionnaire contained following sections: Section I: Minimum required personal details Section II: 10 Questions regarding the source of COVID-19 information Section III: 6 Questions regarding perception of the COVID-19 information The very first part of the Questionnaires seeks responders' consent for giving responses to the survey questions. participation Section II \& III contained all closed ended questions. The Google form link is shared to the netizens of Al Qassim province across relevant Social media platforms.
Dr Bugude Shiva Shankar
Ar Rass, Al Qassim, Saudi Arabia
RECRUITINGNetizens' perception of the Sources of COVID-19 information
Assessing the perception regarding the Sources of COVID-19 information among netizens in Al Qassim province using a 10 open ended Questionnaire. Descriptive statistics will be used to present the data.
Time frame: 11th of August 2020
Netizens' perception on COVID-19 information
Assessing the perception regarding COVID-19 information among netizens in Al Qassim province using a 6 open ended Questionnaire. Descriptive statistics will be used to present the data.
Time frame: 11th of August 2020
Correlation of Age and the Frequency of checking COVID-19 information updates
The survey data will be statistically analyzed to check for the Correlation of Age and the Frequency of checking COVID-19 information updates. The data obtained from the survey will be subjected to appropriate analytical statistical tests to understand the correlation. A p-value of \<0.05 is considered statistically significant correlation of the variables analysed.
Time frame: 11th of August 2020
Correlation of Gender and the Frequency of checking COVID-19 information updates
The survey data will be statistically analyzed to check for the Correlation of Gender and the Frequency of checking COVID-19 information updates. The data obtained from the survey will be subjected to appropriate analytical statistical tests to understand the correlation. A p-value of \<0.05 is considered statistically significant correlation of the variables analysed.
Time frame: 11th of August 2020
Correlation of Age and the perception of newly infected COVID-19 cases information update
The survey data will be statistically analyzed to check for the Correlation of Age and the perception of newly infected COVID-19 cases information update. The data obtained from the survey will be subjected to appropriate analytical statistical tests to understand the correlation. A p-value of \<0.05 is considered statistically significant correlation of the variables analysed.
Time frame: 11th of August 2020
Correlation of Age and the perception of COVID-19 deaths information update
The survey data will be statistically analyzed to check for the Correlation of Age and the perception of COVID-19 deaths information update. The data obtained from the survey will be subjected to appropriate analytical statistical tests to understand the correlation. A p-value of \<0.05 is considered statistically significant correlation of the variables analysed.
Time frame: 11th of August 2020
Correlation of Age and the perception of COVID-19 Vaccine information update
The survey data will be statistically analyzed to check for the Correlation of Age and the perception of COVID-19 Vaccine information update. The data obtained from the survey will be subjected to appropriate analytical statistical tests to understand the correlation. A p-value of \<0.05 is considered statistically significant correlation of the variables analysed.
Time frame: 11th of August 2020
Correlation of Age and the perception of COVID-19 treatment medicines/drugs information update
The survey data will be statistically analyzed to check for the Correlation of Age and the perception of COVID-19 treatment medicines/drugs information update. The data obtained from the survey will be subjected to appropriate analytical statistical tests to understand the correlation. A p-value of \<0.05 is considered statistically significant correlation of the variables analysed.
Time frame: 11th of August 2020
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