COVID-19 Pandemic: Epidemiology, Etiology, Conventional and Non-Conventional Therapies

Abdur Rauf1, Tareq Abu-Izneid2, Ahmed Olatunde3

  • 1Department of Chemistry, University of Swabi, Swabi, Anbar 23430, Khyber Pakhtunkhwa, Pakistan.

Insights

This review details COVID-19, caused by the SARS-CoV-2 virus, covering its epidemiology, symptoms, and transmission. It explores current interventions and highlights the potential of Traditional Chinese Medicines (TCM) for managing COVID-19.

Area of Science:

  • Virology
  • Epidemiology
  • Immunology

Background:

  • Coronavirus disease 2019 (COVID-19) is caused by the SARS-CoV-2 virus, a beta-coronavirus.
  • The virus utilizes its spike (S) protein to bind with angiotensin-converting enzyme-2 in host cells, facilitating entry.
  • As of October 28, 2020, over 44 million cases and 1.1 million deaths were reported globally.

Purpose of the Study:

  • To provide a comprehensive overview of COVID-19 and the SARS-CoV-2 virus.
  • To discuss the virus's structure, epidemiology, transmission, and associated symptoms.
  • To review current therapeutic interventions and explore the potential of Traditional Chinese Medicines (TCM).

Main Methods:

  • Literature review of existing studies on COVID-19.
  • Analysis of epidemiological data and reported case numbers.
  • Synthesis of information on viral mechanisms, immune responses, and treatment strategies.

Main Results:

  • COVID-19 presents with symptoms like fever and fatigue, with severe cases leading to acute respiratory distress syndrome.
  • Transmission occurs primarily through person-to-person contact via respiratory droplets.
  • Current treatments include antiviral medications like remdesivir, with ongoing research for novel drugs and vaccines.

Conclusions:

  • Understanding the SARS-CoV-2 virus's mechanism and immune response is crucial for developing effective treatments and vaccines.
  • Traditional Chinese Medicines (TCM) show promise in alleviating COVID-19 symptoms and severity.
  • This review aims to enhance the understanding of COVID-19 and stimulate new research avenues.

Related Concept Videos

Introduction to Epidemiology01:26

Introduction to Epidemiology

Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
1.4K
Infection01:20

Infection

When a pathogen enters the body and reproduces, it can cause an infection, damage body cells, and cause illness symptoms that eventually lead to disease. Therefore, its prevention requires breaking the chain of infection.
The chain begins with pathogens: bacteria, viruses, fungi, prions, or parasites such as protozoa helminths. These can be present on the skin as transient or resident flora, or they can be acquired from the environment. Identifying and treating the type of infection and...
10.6K
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
681
Controls in Experiments01:13

Controls in Experiments

When conducting an experiment, it is crucial to have control to reduce bias and accurately measure the dependent variables. It also marks the results more reliable. Controls are elements in an experiment that have the same characteristics as the treatment groups but are not affected by the independent variable. By sorting these data into control and experimental conditions, the relationship between the dependent and independent variables can be drawn. A randomized experiment always includes a...
14.4K
Causality in Epidemiology01:21

Causality in Epidemiology

Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
1.3K
Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
3.4K