COVID-19- a public health emergency: what do we know? A cross-sectional study on community awareness level towards COVID-19 in Uttar Pradesh, India

Afzal, Fahad; Siddiqui, Rabia; Khan, Muhammad Rafiullah; Afzal, Maria; Usmani, Nabeela

doi:10.18203/2394-6040.ijcmph20204762

Cited by 2 publications

(3 citation statements)

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“…For instance, RR of oropharyngeal cancer for women was reported to be 14.56, whereas for men it was 7.44 (Mishra et al, 2012). Ever since the advent of the COVID era, it has been established that the technology plays a pivotal role in information dissemination to masses and developing awareness (Afzal et al, 2020). However, the low socioeconomic population is deprived of technologically aided healthcare and information sources.…”

Section: Discovery Scientific Societymentioning

confidence: 99%

“…The drop in numbers of tobacco users is more prominent in developed nations as compared to developing nations. Despite the decreasing trend, tobacco Authors' Affiliation: 1 Research Scholar, Institute of Health Management Research, IIHMR University, Jaipur, India 2 Senior Consultant, IQVIA Consulting and Information Services Ltd., New Delhi, India…”

Section: Introductionmentioning

confidence: 99%

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Practice and awareness of migrant pregnant women living in urban slums towards tobacco consumption

Afzal¹,

Aalam²,

Mehra³

et al. 2022

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Background: Annually, 1.35 million tobacco attributable mortalities occur in India. The problem is alarming and exacerbated in the case of migrants living in low socioeconomic conditions. Past researchers indicated migrant pregnant women are most vulnerable in this regard. Aim: The objective of the study is to find out the tobacco related practices and awareness of migrant pregnant females residing in the urban slums area of Aligarh city. Method: A crosssectional study with a sample size of 314 was conducted. Three hypotheses were proposed based on the available evidences. Data collection was done by a pre-tested interview schedule. Awareness level was captured by scoring the responses of participants. For statistical analysis IBM-SPSS (version 22.0) was utilized. Linear regression, unpaired t-test and ANOVA methods were employed for analysis and hypothesis testing. Results: About one-third of the respondents consumed tobacco product in the past, out of which approximately 31% of the respondent consumed tobacco during pregnancy.The awareness score of respondents were analyzed and found to exhibit a positive linear association (R 2 =0.802) with mass media exposure. Analysis unveiled a statistically significant variation in awareness score (regarding health impact of tobacco use) of migrant women married to tobacco consuming males (14.7 ± 2.6) and non-consuming males (23.2 ± 3.1). Conclusion:The government health agencies should reboot mass media campaigns against tobacco use; priority to migrants in the reproductive age group should be given. A social-network analysis needs to be done, to examine the role of husbands in imparting tobacco related awareness to wives.

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Section: Discovery Scientific Societymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Practice and awareness of migrant pregnant women living in urban slums towards tobacco consumption

Afzal¹,

Aalam²,

Mehra³

et al. 2022

Self Cite

View full text Add to dashboard Cite

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“…Given the possibility of antigenic shift, specialists anticipated the potential occurrence of another wave of COVID-19 in the country. Combating the COVID-19 pandemic in India and other LMICs (Low and Middle-Income Countries) has consistently presented challenges due to limited community awareness regarding warning signs and symptoms, as well as inadequate adherence to appropriate behavior and quarantine protocols (1) . The pandemic provoked social stigmatization, and discriminatory behaviours against infected individuals.…”

Section: Introductionmentioning

confidence: 99%

Identification of Predictors for Utilization of Artificial Intelligence Powered COVID -19 Chatbot for Self-Screening and Health Counselling

Bhola,

Afzal,

Kumar

2023

IJST

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Background: Advent of COVID-19 has led to many challenges to the healthcare system. To deal with the burdening of healthcare and for assuaging the selfscreening process 'Dr. Chhaya'-AI (Artificial Intelligence) based chatbot was developed and implemented by a health research institute. Objectives: First, to capture the perception of the PG (Post-Graduate) students enrolled in public health programmes towards the 'Dr. Chhaya' chatbot. Secondly, to identify and analyze the predictors for the future use of the chatbot. We proposed a hypothesis that students with different levels of technological proficiency have different perceptions towards AI-based health chatbot. Methods: A cross-sectional study on 219 PG students was conducted, using a pre-tested questionnaire. The tool consisted of 2 parts, namely, (i) demographics (ii) experience and perception towards the chatbot. Twelve critical variables were identified which were grouped into 3 domains, namely, 'utility factors', 'sentimental factors', and 'technical appropriateness'. Responses regarding each variable were recorded using an 11-point scale. Statistical analysis of responses was done using IBM-SPSS (ver. 22). Findings: The perception of participants towards AI-based chatbot was found to be positive (overall mean of scores=7.1). Regression analysis revealed that 'utility factor' (β =0.45, p value<0.001) and 'sentimental factor' (β =0.35, p value=0.033) are predictors of future use of the chatbots by participants. Analysis revealed that the proposed hypothesis is found true (at 95% confidence). Novelty: The present paper offers an interdisciplinary approach and provides insights for developing more efficient self-health screening chatbots. The study informs about the factors that augment the AI powered chatbot use as not discussed much in past studies. Findings suggest, policymakers could implement chatbot utilization policy for urban areas, to promote the self-screening process by masses to reduce burden on the healthcare system.

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COVID-19- a public health emergency: what do we know? A cross-sectional study on community awareness level towards COVID-19 in Uttar Pradesh, India

Cited by 2 publications

References 12 publications

Practice and awareness of migrant pregnant women living in urban slums towards tobacco consumption

Practice and awareness of migrant pregnant women living in urban slums towards tobacco consumption

Identification of Predictors for Utilization of Artificial Intelligence Powered COVID -19 Chatbot for Self-Screening and Health Counselling

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