Unique ID | iCARE-DLF-0041 |
Prefix / Honorific (optional) (Prefix) | Dr. |
First or given name (First name) | Delfin Lovelina |
Last or family name (Last name) | Francis |
Email (Enter your email) | delfin_lovelina@yahoo.co.in |
Other investigators or team members (optional) | Dr Suzanne Nethan |
Institution | National Institute of Epidemiology, ICMR, Chennai, India |
Country (Country) | India |
Analysis Plan Title | Knowledge, attitude, and self-reported practice towards measures for prevention of the spread of COVID-19 among Low and Middle income countries |
Analysis Plan Description | DESCRIPTION AND JUSTIFICATION:The spread of corona virus disease, 2019, has affected several countries in the world. The occurrences of COVID infections are uneven across countries and the same is determined by socioeconomic situations prevailing in the countries besides the preparedness and management.Low and middle-income countries (LMICs), has relatively more incidence of the cases due to COVID-19. Among the 50 countries with the highest disease burden, 33 are developing or LMICs, accounting for more than half of the cases and deaths. Because most asymptomatic and mild infections are undocumented, published figures are likely to be underestimates of the true numbers. Due to a lack of testing and contact tracing, under-reporting and denial, some countries may have 10 times more cases than reported.RATIONALE:This research topic on the Knowledge, attitude and self reported practices towards measures for prevention of COVID- 19 among Low and Middle income countries (Argentina, India, Indonesia, Nigeria and Serbia) using the existing data from the iCARE survey will definitely throw some light to enable preparedness to face the present and future situation. This study will give us an ample scope to further analyze these evidences along with checking policy makers to take necessary action in LMICs.METHODOLOGY:Data from the iCARE bank with reference to Low and Middle income countries (Argentina, India, Indonesia, Nigeria and Serbia) will be extracted. |
Keyword 1 | lifestyle behaviors |
Keyword 2 | Government measures |
Keyword 3 (optional) | Individual compliance |
Keyword 4 (optional) | Knowledge mobilisation |
Keyword 5 (optional) | Vaccination Trends |
Representative data | Representative data |
Location data | Country-based |
Country (Country) | India |
Country 2 (Country) | Argentina |
Country 3 (Country) | Indonesia |
More additional countries | Yes |
List additional countries | Nigeria, Serbia |
Data Time Frame | Data from all surveys |
Target completion date (optional) | 31-08-2021 |
Entry Date | 13-07-2021 14:12 |
Latest update | 2022-03-16 – Closed- abstract accepted for poster presentation at Global Health Security Conference 2022 |