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  1. Article ; Online: Convergence of Comorbidity and COVID-19 Infection to Fatality

    Sindhu Joseph / Jijo Pulickiyil Ulahannan / Parvathy A J

    Asia Pacific Journal of Health Management, Vol 17, Iss

    An investigation based on health assessment and vaccination among older adults in Kerala, India

    2022  Volume 1

    Abstract: OBJECTIVE: To investigate the impact of age, comorbidity, and vaccination in the fatality of older COVID-19 patients in the state of Kerala, India. METHODS: A cross sectional study, adopting a mixed method approach was used and conducted among the older ... ...

    Abstract OBJECTIVE: To investigate the impact of age, comorbidity, and vaccination in the fatality of older COVID-19 patients in the state of Kerala, India. METHODS: A cross sectional study, adopting a mixed method approach was used and conducted among the older population in Kerala. To study the health profile of study participants 405 older people were surveyed and 102 people were interviewed in-depth at their households between June to November 2020. The results of the study were triangulated with elderly COVID-19 fatality data available from the citizen-science dashboards of the research team and Department of Health, Kerala. Vaccination data was retrieved from the Co-WIN government website (cowin.gov.in) to study its impact. The data was analyzed using the IBM SPSS version 22.0. RESULTS: Age is a predictor of COVID-19 fatality. Diabetes, hypertension, CAD, CKD and COPD are the significant predictors of elderly COVID-19 fatality in Kerala. The current comorbidity profile of the total older population matches with the comorbidities of the COVID-19 elderly death cases. CFR and IFR have declined even when the CMR is high in the second wave of COVID-19 with more deaths. This is attributable to vaccination even though there exists a lesser chance for breakthrough infection. CONCLUSIONS: Age and comorbidities can predict potential fatality among older COVID-19 patients. Timely and accurate health data and better knowledge of high-risk factors such as comorbidity can easily guide the healthcare system and authorities to efficient prevention and treatment methodologies. Knowledge on prevailing NCDs can drive early preparedness before it converges with an epidemic like the present zoonotic disease. Vaccination is an effective tool in preventing infection compared to the unvaccinated even though the chance for breakthrough infection is there, particularly, in people with comorbidities.
    Keywords Comorbidity ; Convergence ; COVID-19 Mortality ; Fatality ; Older population ; Vaccination ; Medicine (General) ; R5-920 ; Public aspects of medicine ; RA1-1270
    Subject code 300
    Language English
    Publishing date 2022-04-01T00:00:00Z
    Publisher ACHSM
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Convergence of Comorbidity and COVID-19 Infection to Fatality: An Investigation Based on Concurrent Health Status Evaluation among the Elderly Population in Kerala

    Joseph, Sindhu / Ulahannan, Jijo Pulickiyil

    medRxiv

    Abstract: The COVID-19 infection rapidly spread globally, mostly affecting the extremely vulnerable category of the elderly with comorbidities. There are inconsistencies in the findings on the type of comorbidity of the elderly and its association with fatalities. ...

    Abstract The COVID-19 infection rapidly spread globally, mostly affecting the extremely vulnerable category of the elderly with comorbidities. There are inconsistencies in the findings on the type of comorbidity of the elderly and its association with fatalities. In this context, this research investigated the impact of comorbidity in the fatality of elderly COVID-19 patients in Kerala based on their healthcare status, functionality, and morbidity profiles. A concurrent mixed-method approach was adopted for the study to achieve the objectives, where the quantitative and qualitative data had been collected in the COVID-19 situation, from June to November 2020. This study9s findings have been further triangulated with the COVID-19 elderly fatality data, which is available from the crowdsourced dashboard of the research team and two other volunteering dashboards. This paper establishes that comorbidities can predict potential fatality among elderly COVID-19 patients. While facing an epidemic like the present zoonotic disease, better knowledge of these high-risk factors will help clinicians to pinpoint the situation and implement therapeutic and preventive methodologies and interventions. The comorbidity level of the elderly in Kerala matches with the profile of COVID-19 death cases where heart disease, diabetes, cancer, and hypertension are the significant predictors of COVID-19 elderly fatality in Kerala.
    Keywords covid19
    Language English
    Publishing date 2021-01-12
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2021.01.06.20249030
    Database COVID19

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  3. Article ; Online: A citizen science initiative for open data and visualization of COVID-19 outbreak in Kerala, India.

    Ulahannan, Jijo Pulickiyil / Narayanan, Nikhil / Thalhath, Nishad / Prabhakaran, Prem / Chaliyeduth, Sreekanth / Suresh, Sooraj P / Mohammed, Musfir / Rajeevan, E / Joseph, Sindhu / Balakrishnan, Akhil / Uthaman, Jeevan / Karingamadathil, Manoj / Thomas, Sunil Thonikkuzhiyil / Sureshkumar, Unnikrishnan / Balan, Shabeesh / Vellichirammal, Neetha Nanoth

    Journal of the American Medical Informatics Association : JAMIA

    2019  Volume 27, Issue 12, Page(s) 1913–1920

    Abstract: Objective: India reported its first coronavirus disease 2019 (COVID-19) case in the state of Kerala and an outbreak initiated subsequently. The Department of Health Services, Government of Kerala, initially released daily updates through daily textual ... ...

    Abstract Objective: India reported its first coronavirus disease 2019 (COVID-19) case in the state of Kerala and an outbreak initiated subsequently. The Department of Health Services, Government of Kerala, initially released daily updates through daily textual bulletins for public awareness to control the spread of the disease. However, these unstructured data limit upstream applications, such as visualization, and analysis, thus demanding refinement to generate open and reusable datasets.
    Materials and methods: Through a citizen science initiative, we leveraged publicly available and crowd-verified data on COVID-19 outbreak in Kerala from the government bulletins and media outlets to generate reusable datasets. This was further visualized as a dashboard through a front-end Web application and a JSON (JavaScript Object Notation) repository, which serves as an application programming interface for the front end.
    Results: From the sourced data, we provided real-time analysis, and daily updates of COVID-19 cases in Kerala, through a user-friendly bilingual dashboard (https://covid19kerala.info/) for nonspecialists. To ensure longevity and reusability, the dataset was deposited in an open-access public repository for future analysis. Finally, we provide outbreak trends and demographic characteristics of the individuals affected with COVID-19 in Kerala during the first 138 days of the outbreak.
    Discussion: We anticipate that our dataset can form the basis for future studies, supplemented with clinical and epidemiological data from the individuals affected with COVID-19 in Kerala.
    Conclusions: We reported a citizen science initiative on the COVID-19 outbreak in Kerala to collect and deposit data in a structured format, which was utilized for visualizing the outbreak trend and describing demographic characteristics of affected individuals.
    MeSH term(s) Adolescent ; Adult ; Aged ; Aged, 80 and over ; COVID-19/epidemiology ; Child ; Citizen Science ; Computer Graphics ; Datasets as Topic ; Female ; Humans ; India/epidemiology ; Male ; Middle Aged ; Pandemics ; User-Computer Interface ; Young Adult
    Keywords covid19
    Language English
    Publishing date 2019-11-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 1205156-1
    ISSN 1527-974X ; 1067-5027
    ISSN (online) 1527-974X
    ISSN 1067-5027
    DOI 10.1093/jamia/ocaa203
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: A citizen science initiative for open data and visualization of COVID-19 outbreak in Kerala, India

    Ulahannan, Jijo Pulickiyil / Narayanan, Nikhil / Thalhath, Nishad / Prabhakaran, Prem / Chaliyeduth, Sreekanth / Suresh, Sooraj P / Mohammed, Musfir / Rajeevan, E / Joseph, Sindhu / Balakrishnan, Akhil / Uthaman, Jeevan / Karingamadathil, Manoj / Thomas, Sunil Thonikkuzhiyil / Sureshkumar, Unnikrishnan / Balan, Shabeesh / Vellichirammal, Neetha Nanoth

    J. am. med. inform. assoc

    Abstract: OBJECTIVE: India reported its first COVID-19 case in the state of Kerala and an outbreak initiated subsequently. The Department of Health Services, Government of Kerala, initially released daily updates through daily textual bulletins for public ... ...

    Abstract OBJECTIVE: India reported its first COVID-19 case in the state of Kerala and an outbreak initiated subsequently. The Department of Health Services, Government of Kerala, initially released daily updates through daily textual bulletins for public awareness to control the spread of the disease. However, this unstructured data limits upstream applications, such as visualization, and analysis, thus demanding refinement to generate open and reusable datasets. MATERIALS AND METHODS: Through a citizen science initiative, we leveraged publicly available and crowd-verified data on COVID-19 outbreak in Kerala from the government bulletins and media outlets to generate reusable datasets. This was further visualized as a dashboard through a frontend web application and a JSON repository, which serves as an API for the frontend. RESULTS: From the sourced data, we provided real-time analysis, and daily updates of COVID-19 cases in Kerala, through a user-friendly bilingual dashboard (https://covid19kerala.info/) for non-specialists. To ensure longevity and reusability, the dataset was deposited in an open-access public repository for future analysis. Finally, we provide outbreak trends and demographic characteristics of the individuals affected with COVID-19 in Kerala during the first 138 days of the outbreak. DISCUSSION: We anticipate that our dataset can form the basis for future studies, supplemented with clinical and epidemiological data from the individuals affected with COVID-19 in Kerala. CONCLUSION: We reported a citizen science initiative on the COVID-19 outbreak in Kerala to collect and deposit data in a structured format, which was utilized for visualizing the outbreak trend and describing demographic characteristics of affected individuals.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #696843
    Database COVID19

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  5. Article ; Online: A citizen science initiative for open data and visualization of COVID-19 outbreak in Kerala, India

    Ulahannan, Jijo Pulickiyil / Narayanan, NIkhil / Thalhath, Nishad / Prabhakaran, Prem / Chaliyeduth, Sreekanth / Suresh, Sooraj P / Mohammed, Musfir / E, Rajeevan / Joseph, Sindhu / Balakrishnan, Akhil / Uthaman, Jeevan / Karingamadathil, Manoj / Thomas, Sunil Thonikkuzhiyil / Sureshkumar, Unnikrishnan / Balan, Shabeesh / Nanoth Vellichirammal, Neetha

    medRxiv

    Abstract: India, the second most populated country in the world, reported its first COVID-19 case in the state of Kerala with a travel history from Wuhan. Subsequently, a surge of cases was observed in the state mainly through the individuals who traveled from ... ...

    Abstract India, the second most populated country in the world, reported its first COVID-19 case in the state of Kerala with a travel history from Wuhan. Subsequently, a surge of cases was observed in the state mainly through the individuals who traveled from Europe and the Middle East to Kerala, thus initiating an outbreak. Since public awareness through dissemination of reliable information plays a significant role in controlling the spread of the disease, the Department of Health Services, Government of Kerala initially released daily updates through daily textual bulletins. However, this unstructured data requires refinement and enrichment for upstream applications, such as visualization, and/or analysis. Here we reported a citizen science initiative that leveraged publicly available and crowd-verified data on COVID-19 outbreak in Kerala from the government bulletins, supplemented with the information from media outlets to generate reusable datasets. This data was further used to provide real-time analysis, and daily updates of COVID-19 cases in Kerala, through a user-friendly bilingual dashboard (https://covid19kerala.info/) for non-specialists. We ensured longevity and reusability of the dataset by depositing it in a public repository, aligning with open source principles for future analytical efforts. Finally, to show the scope of the sourced data, we also provided a snapshot of outbreak trends and demographic characteristics of the individuals affected with COVID-19 in Kerala during the first 99 days of the outbreak.
    Keywords covid19
    Language English
    Publishing date 2020-05-18
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2020.05.13.20092510
    Database COVID19

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  6. Article ; Online: A citizen science initiative for open data and visualization of COVID-19 outbreak in Kerala, India

    Ulahannan, Jijo Pulickiyil / Narayanan, Nikhil / Thalhath, Nishad / Prabhakaran, Prem / Chaliyeduth, Sreekanth / Suresh, Sooraj P / Mohammed, Musfir / Rajeevan, E / Joseph, Sindhu / Balakrishnan, Akhil / Uthaman, Jeevan / Karingamadathil, Manoj / Thomas, Sunil Thonikkuzhiyil / Sureshkumar, Unnikrishnan / Balan, Shabeesh / Vellichirammal, Neetha Nanoth

    Journal of the American Medical Informatics Association ; ISSN 1067-5027 1527-974X

    2020  

    Abstract: Abstract Objective India reported its first coronavirus disease 2019 (COVID-19) case in the state of Kerala and an outbreak initiated subsequently. The Department of Health Services, Government of Kerala, initially released daily updates through daily ... ...

    Abstract Abstract Objective India reported its first coronavirus disease 2019 (COVID-19) case in the state of Kerala and an outbreak initiated subsequently. The Department of Health Services, Government of Kerala, initially released daily updates through daily textual bulletins for public awareness to control the spread of the disease. However, these unstructured data limit upstream applications, such as visualization, and analysis, thus demanding refinement to generate open and reusable datasets. Materials and Methods Through a citizen science initiative, we leveraged publicly available and crowd-verified data on COVID-19 outbreak in Kerala from the government bulletins and media outlets to generate reusable datasets. This was further visualized as a dashboard through a front-end Web application and a JSON (JavaScript Object Notation) repository, which serves as an application programming interface for the front end. Results From the sourced data, we provided real-time analysis, and daily updates of COVID-19 cases in Kerala, through a user-friendly bilingual dashboard (https://covid19kerala.info/) for nonspecialists. To ensure longevity and reusability, the dataset was deposited in an open-access public repository for future analysis. Finally, we provide outbreak trends and demographic characteristics of the individuals affected with COVID-19 in Kerala during the first 138 days of the outbreak. Discussion We anticipate that our dataset can form the basis for future studies, supplemented with clinical and epidemiological data from the individuals affected with COVID-19 in Kerala. Conclusions We reported a citizen science initiative on the COVID-19 outbreak in Kerala to collect and deposit data in a structured format, which was utilized for visualizing the outbreak trend and describing demographic characteristics of affected individuals.
    Keywords Health Informatics ; covid19
    Language English
    Publisher Oxford University Press (OUP)
    Publishing country uk
    Document type Article ; Online
    DOI 10.1093/jamia/ocaa203
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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