Trend and determinants of COVID 19 pandemic in a district of Central India: A cross sectional study
The novel Coronavirus outbreak was originated from Wuhan, China, was first reported in India on 30th January 2020. The impact of an epidemic depends on the number of persons infected, infection transmissibility and the spectrum of clinical severity. To determine the impact of outbreak, analysis of t...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Deccan College of Medical Sciences
2021-07-01
|
| Series: | Journal of Medical and Allied Sciences |
| Subjects: | |
| Online Access: | http://www.ejmanager.com/fulltextpdf.php?mno=52244 |
| _version_ | 1797774461406019584 |
|---|---|
| author | Richa Changulani Manoj Bansal Durgesh Shukla |
| author_facet | Richa Changulani Manoj Bansal Durgesh Shukla |
| author_sort | Richa Changulani |
| collection | DOAJ |
| description | The novel Coronavirus outbreak was originated from Wuhan, China, was first reported in India on 30th January 2020. The impact of an epidemic depends on the number of persons infected, infection transmissibility and the spectrum of clinical severity. To determine the impact of outbreak, analysis of the existing record was done. The objective of this study was to determine the demographic factors, case fatality rate, its association and trend was observed among positive cases reported in Gwalior district. Covid-19 related data collected at the IDSP unit of Gwalior District was analysed. A total of 11281 case reported between 30th March to 11th October was included and their recorded data was analysed using mean, median, chi-square test and logistic regression analysis. The study shows that Mean age of the cases was 39.95±16.75 while their median age was 38.0 (27.0-52.0). Maximum cases were in the age group of 21-30 (25.6%). On assessing the current status, 94.7% patients were discharged from isolation/treatment facility, 4% case were active while 1.3% died. Risk Ratio (Odds Ratio) for death was calculated for different characteristics. It was concluded from the present study that the outcome of disease was found statistically significant in age groups, residence in containment area and isolation status among patients by using logistic regression analysis. Also, no gender predilection of the disease and its mortality. [J Med Allied Sci. 2021; 11(2):155-162] |
| first_indexed | 2024-03-12T22:20:27Z |
| format | Article |
| id | doaj.art-1757f1f1a7af459b8c2a8512e3c47a6e |
| institution | Directory Open Access Journal |
| issn | 2231-1696 2231-170X |
| language | English |
| last_indexed | 2024-03-12T22:20:27Z |
| publishDate | 2021-07-01 |
| publisher | Deccan College of Medical Sciences |
| record_format | Article |
| series | Journal of Medical and Allied Sciences |
| spelling | doaj.art-1757f1f1a7af459b8c2a8512e3c47a6e2023-07-23T07:47:12ZengDeccan College of Medical SciencesJournal of Medical and Allied Sciences2231-16962231-170X2021-07-0111215516210.5455/jmas.5224452244Trend and determinants of COVID 19 pandemic in a district of Central India: A cross sectional studyRicha Changulani0Manoj Bansal1Durgesh Shukla2Department of Community Medicine, Gajra Raja Medical College, Gwalior-474009, Madhya Pradesh, IndiaDepartment of Community Medicine, Gajra Raja Medical College, Gwalior-474009, Madhya Pradesh, IndiaDepartment of Community Medicine, Gajra Raja Medical College, Gwalior-474009, Madhya Pradesh, IndiaThe novel Coronavirus outbreak was originated from Wuhan, China, was first reported in India on 30th January 2020. The impact of an epidemic depends on the number of persons infected, infection transmissibility and the spectrum of clinical severity. To determine the impact of outbreak, analysis of the existing record was done. The objective of this study was to determine the demographic factors, case fatality rate, its association and trend was observed among positive cases reported in Gwalior district. Covid-19 related data collected at the IDSP unit of Gwalior District was analysed. A total of 11281 case reported between 30th March to 11th October was included and their recorded data was analysed using mean, median, chi-square test and logistic regression analysis. The study shows that Mean age of the cases was 39.95±16.75 while their median age was 38.0 (27.0-52.0). Maximum cases were in the age group of 21-30 (25.6%). On assessing the current status, 94.7% patients were discharged from isolation/treatment facility, 4% case were active while 1.3% died. Risk Ratio (Odds Ratio) for death was calculated for different characteristics. It was concluded from the present study that the outcome of disease was found statistically significant in age groups, residence in containment area and isolation status among patients by using logistic regression analysis. Also, no gender predilection of the disease and its mortality. [J Med Allied Sci. 2021; 11(2):155-162]http://www.ejmanager.com/fulltextpdf.php?mno=52244agecase fatalitycovidpandemictrend |
| spellingShingle | Richa Changulani Manoj Bansal Durgesh Shukla Trend and determinants of COVID 19 pandemic in a district of Central India: A cross sectional study Journal of Medical and Allied Sciences age case fatality covid pandemic trend |
| title | Trend and determinants of COVID 19 pandemic in a district of Central India: A cross sectional study |
| title_full | Trend and determinants of COVID 19 pandemic in a district of Central India: A cross sectional study |
| title_fullStr | Trend and determinants of COVID 19 pandemic in a district of Central India: A cross sectional study |
| title_full_unstemmed | Trend and determinants of COVID 19 pandemic in a district of Central India: A cross sectional study |
| title_short | Trend and determinants of COVID 19 pandemic in a district of Central India: A cross sectional study |
| title_sort | trend and determinants of covid 19 pandemic in a district of central india a cross sectional study |
| topic | age case fatality covid pandemic trend |
| url | http://www.ejmanager.com/fulltextpdf.php?mno=52244 |
| work_keys_str_mv | AT richachangulani trendanddeterminantsofcovid19pandemicinadistrictofcentralindiaacrosssectionalstudy AT manojbansal trendanddeterminantsofcovid19pandemicinadistrictofcentralindiaacrosssectionalstudy AT durgeshshukla trendanddeterminantsofcovid19pandemicinadistrictofcentralindiaacrosssectionalstudy |