Presented at International Health & Research Convention (International) on 21-Jan-2023
Presented at International Health & Research Convention (International) on 21-Jan-2023
Presented at International Health & Research Convention (International) on 21-Jan-2023
A Comparison of the proportion of Respiratory Infections and COVID Infections Diagnosed on a Tele-Medicine Platform across the Multiple Waves of COVID
A Comparison of the proportion of Respiratory Infections and COVID Infections Diagnosed on a Tele-Medicine Platform across the Multiple Waves of COVID
A Comparison of the proportion of Respiratory Infections and COVID Infections Diagnosed on a
Tele-Medicine Platform across the Multiple Waves of COVID
INTRODUCTION
INTRODUCTION
SARSCoV2, the etiological agent of the COVID19 pandemic, caught everyone off guard in early 2020 and has taken a great toll since then.
SARSCoV2, the etiological agent of the COVID19 pandemic, caught everyone off guard in early 2020 and has taken a great toll since then.
Globally, as of January 2023, there have been 662,445,150 confirmed cases of COVID-19, including 6,704,827 deaths, reported to WHO and in India the confirmed cases are around 44,681,154.(1)
Globally, as of January 2023, there have been 662,445,150 confirmed cases of COVID-19, including 6,704,827 deaths, reported to WHO and in India the confirmed cases are around 44,681,154.(1)
COVID-19 has accelerated the adoption of telemedicine globally.
COVID-19 has accelerated the adoption of telemedicine globally.
Digital health is fast emerging as one of the most defining trends of this decade and will have a profound influence on geopolitical and socioeconomic realities in the future.(2)
Digital health is fast emerging as one of the most defining trends of this decade and will have a profound influence on geopolitical and socioeconomic realities in the future.(2)
OBJECTIVE
OBJECTIVE
To compare the trends in the tele-consultations that happened on the MediBuddy Platform across the three waves starting from June2020 - March 2022
To compare the trends in the tele-consultations that happened on the MediBuddy Platform across the three waves starting from June2020 - March 2022
METHODOLOGY
METHODOLOGY
We included all the tele-consultations which happened for respiratory infections and COVID on our platform during the three COVID waves across the years 2020,2021 and 2022.
We included all the tele-consultations which happened for respiratory infections and COVID on our platform during the three COVID waves across the years 2020,2021 and 2022.
The data were checked for duplicates, cleaned and descriptive statistics were computed.
The data were checked for duplicates, cleaned and descriptive statistics were computed.
All the analysis was done using Python version 3.10.
All the analysis was done using Python version 3.10.
RESULTS
RESULTS
For Noncoronavirus, respiratory illness, the most common symptoms were cold, fever, malaise cough (productive and non productive), sore throat, and rhinitis.
For Noncoronavirus, respiratory illness, the most common symptoms were cold, fever, malaise cough (productive and non productive), sore throat, and rhinitis.
The most common symptoms associated with but not unique to coronaviruses were chills, headache, myalgia, malaise, cough(productive and non productive), sore throat, and nasal congestion.
The most common symptoms associated with but not unique to coronaviruses were chills, headache, myalgia, malaise, cough(productive and non productive), sore throat, and nasal congestion.
The proportion of COVID cases in the first, second, and third waves was 9.1%, 46.5%, and 28.8% of the total respiratory infections cases presented on our platform, respectively.
The proportion of COVID cases in the first, second, and third waves was 9.1%, 46.5%, and 28.8% of the total respiratory infections cases presented on our platform, respectively.
More cases were seen during the second wave of COVID.
More cases were seen during the second wave of COVID.
CONCLUSION
CONCLUSION
STRENGTHS
STRENGTHS
LIMITATIONS
LIMITATIONS
Huge Sample size
Huge Sample size
Lack of standardized data
Lack of standardized data
The data included covers almost all states of India
The data included covers almost all states of India
Due to privacy issues , we were not able to confirm the test results
Due to privacy issues , we were not able to confirm the test results
The result which we elicited from our data matches with the case detection rate in India. (3)
The result which we elicited from our data matches with the case detection rate in India. (3)
Majority of cases were seen during the second wave of COVID than the other two.
Majority of cases were seen during the second wave of COVID than the other two.
REFERENCES
REFERENCES
WHO Coronavirus (COVID-19) Dashboard [Internet]. [cited 2023 Jan 18]. Available from: https://covid19.who.int
WHO Coronavirus (COVID-19) Dashboard [Internet]. [cited 2023 Jan 18]. Available from: https://covid19.who.int
Bhaskar S, Bradley S, Chattu VK, Adisesh A, Nurtazina A, Kyrykbayeva S, et al. Telemedicine Across the Globe-Position Paper From the COVID-19 Pandemic Health System Resilience PROGRAM (REPROGRAM) International Consortium (Part 1). Front Public Health. 2020 Oct 16;8:556720.
Bhaskar S, Bradley S, Chattu VK, Adisesh A, Nurtazina A, Kyrykbayeva S, et al. Telemedicine Across the Globe-Position Paper From the COVID-19 Pandemic Health System Resilience PROGRAM (REPROGRAM) International Consortium (Part 1). Front Public Health. 2020 Oct 16;8:556720.
Coronavirus in India: Latest Map and Case Count [Internet]. [cited 2023 Jan 19]. Available from: https://www.incovid19.org
Coronavirus in India: Latest Map and Case Count [Internet]. [cited 2023 Jan 19]. Available from: https://www.incovid19.org
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