A Scoping Analysis of Theories, Models, and Standard Operating Procedures for the COVID-19 Pandemic in Uganda
Twaibu Semwogerere, Samuel Baker Kucel, Huzairu Igga, Badru Lusiba, Yahaya Gavamukulya, Sophie Namwanje, Richard Opaka Awichi, Joseph Matovu KB, Banson John Barugahare
International Journal of TROPICAL DISEASE & Health · pp. 1–7 · Published 13 Jul 2022
10.9734/ijtdh/2022/v43i1430638Abstract
The Corona Virus Disease - 19 (COVID-19) pandemic is one of the most devastating events in the history of human health for the last several decades. Our analysis aimed at a cross-section of events, models and theories surrounding the pandemic. These included mathematical modeling, lockdown diaries, Standard Operating Procedures (SOPs), religious approaches, and the 5G network theory among others. The Global economies have been checked negatively by the pandemic. The COVID - 19 – pandemic challenge, primed many innovations and adaptations for survival. Use of phones and ICT as well as proper handling of asymptomatic victims was necessary as it resolves the anxiety issue of the infection spread. Leadership from the President to the lowers levels was critical for the management of COVID -19 challenge in Uganda.
Cited by 0
No indexed citations yet.
Related research
- COVID 19 Disease Caused by Coronavirus 2 (SARS-CoV-2) (Severe Acute Respiratory Syndrome) — shares topic coverage
- Assessment of Anxiety in Healthcare Providers Working in ICU during COVID-19 Pandemics — shares topic coverage
- Azithromycin and Hydroxychloroquine Accelerate Recovery of Outpatients with Mild/Moderate COVID-19 — shares topic coverage
- Elevated Levels of Lactate Dehydrogenase Predicts Poor Outcomes for Patients with COVID-19: A Review — shares topic coverage
- Addressing the Challenges of Containing Covid-19 Spread in a Rural, Poor Area in India: A Case Study — shares topic coverage
Article metrics
Real usage data collected on this platform.
1
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.