| Unique ID | iCARE-CM-0001 |
| Prefix / Honorific (optional) (Prefix) | Mr. |
| First or given name (First name) | Callum |
| Last or family name (Last name) | MacLeay |
| Email (Enter your email) | cjmmacleay@sympatico.ca |
| Other investigators or team members (optional) | Dr. Jovana Stojanovic, Dr. Kim Lavoie, Dr. Simon Bacon, Dr. Joyce Muhenge Olenja, Dr. Richard Ayah, Dr. Violet Naanyu, Dr. Pamela Miloya Godia, Dr. Elizabeth Kimani, Dr. Hildah Oburu and Dr. Abdhalah Ziraba |
| Institution | Université du Québec à Montréal |
| Country (Country) | Canada |
| Analysis Plan Title | Assessing attitudes, concerns and behavioural responses of the general public to public health policies in Kenya during the COVID-19 pandemic: A cross-sectional survey (the iCARE Study) |
| Analysis Plan Description | The key to slowing the spread of the COVID-19 disease and successfully transitioning through the phases of the pandemic, is public adherence to rapidly evolving behaviour-based public health policies. While some countries have successfully slowed the spread of the virus, other countries like Kenya have seen their positive cases rise from 535 (May 5th) to 15,000+ (July 24th, 2020). The objective of this investigation is to assess public attitudes, concerns, and behavioural responses to COVID-19 public health policies in Kenya. The iCARE study utilizes a multiple cross-sectional survey design to capture self-reported information on a variety of COVID-19 related variables. Six hundred eighty-one responses from Kenya were captured during the first survey from March 27th to May 5th, 2020 using convenience sampling. We plan to implement descriptive statistics to present COVID-19 related behaviours, concerns and perceptions of governmental policies in Kenya. In addition, we will evaluate the association between individuals’ behaviours (dependent variable) and COVID-19 related concerns (independent variable), and how this association changes among key sub-groups of the population (e.g., younger vs older, men vs women). This study will provide real-time evidence to help us understand the impacts of COVID-19 policies and we hope to provide data-driven recommendations to the Kenyan government on how to optimize current policy strategies to reduce the impact of the COVID-19 pandemic. |
| Keyword 1 | COVID-19 |
| Keyword 2 | Kenya |
| Keyword 3 (optional) | Cross-sectional |
| Keyword 4 (optional) | Behaviours |
| Survey data | Survey data |
| Location data | Country-based |
| Country (Country) | Kenya |
| Additional countries | No |
| Target completion date (optional) | 30-09-2020 |
| Entry Date | 24-07-2020 13:49 |
| Latest update | 2022-03-09: Ongoing- decided to change the paper from a cross-sectional study to a short report that could be stored on the OSF registry |
