Jijo Pulickiyil Ulahannan
@gck.ac.in
Associate Professor of Physics
Government College Kasaragod
RESEARCH, TEACHING, or OTHER INTERESTS
Statistical and Nonlinear Physics, Multidisciplinary, Atomic and Molecular Physics, and Optics, Physics and Astronomy
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Abhishek Rhisheekesan, Dennis Thomas, Vaishnav Raj K, Gadha T, Pradeep A. V, Jijo Pulickiyil Ulahannan, and Sajeev Damodarakurup
Elsevier BV
S. Damodarakurup, B. Alif, C. Bhadranandan, J. P. Ulahannan, and R. Soorat
Springer Science and Business Media LLC
Keerthana C S, Anjana.S. Nair, Pranav George, N.V. Unnikrishnan, Jijo.P. Ulahannan, and Saritha A C
Elsevier BV
Sindhu Joseph, Jijo P. Ulahannan, and Senthilkumaran Piramanayagam
Mary Ann Liebert Inc
Sindhu Joseph, Jijo Pulickiyil Ulahannan, and Parvathy A J
Australasian College of Health Service Management
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.
Jijo Pulickiyil Ulahannan, Nikhil Narayanan, Nishad Thalhath, Prem Prabhakaran, Sreekanth Chaliyeduth, Sooraj P Suresh, Musfir Mohammed, E Rajeevan, Sindhu Joseph, Akhil Balakrishnan,et al.
Oxford University Press (OUP)
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.
Sajeev Damodarakurup, Jijo P. Ulahannan, and Ram Soorat
OSA
Manu P. John, P. U. Jijo, and V. M. Nandakumaran
Springer Science and Business Media LLC
Jemy James, Praveen C. Ashok, Jijo P. U., and V. P. N. Nampoori
SPIE
The education system of developing countries like India lack infrastructure for teaching science through demonstrations and experiments. The teaching of optics is generally based on factual data given in text books. Students are forced to believe natural phenomena without actually getting convinced themselves through observations. This imparts a big flaw in the way students understand and experience science. The International School of Photonics SPIE (International Society for Optical Engineering) Student chapter, in Cochin University of Science and Technology (CUSAT) in India comes up with their outreach activities, which is mainly aimed at giving hands on experience for school students with Optics. The pedagogy is completely in tune with the syllabus of Indian schools. This activity is being conducted by the students who are studying Photonics in University level. This gives the students a teaching experience as well. The outreach activity has been designed in two modes – Optics Fair & Optics to School. Optics Fair is a massive outreach program which has being conducted yearly since 2006. The two day event attracts more than 1500 school students as well as general public every year. The event is divided into three sections;-Primary, Secondary & Higher Secondary and the experiments are carefully chosen that the students will be able to appreciate them with their prior knowledge in optics. The basic idea put forward is “See and Believe”. In three years this event has become very popular attracting more and more students each year. The response received for these outreach activities is overwhelming. Program is successful in its mission to invoke curiosity and interest in students towards optics. Also within the given time constraint the program is able to give an insight of subject to students.
Jijo P. Ulahannan, Manu P. John, and V. M. Nandakumaran
OSA
We present the work on the dynamics of directly modulated multiple quantum well lasers showing hysteresis and bistability under certain operating conditions. The results promise a better way to ensure security in optical communication channels.