scholarly journals An argument for a common-sense global public health agenda

2017 ◽  
Vol 2 (10) ◽  
pp. e445-e446
Author(s):  
Sandro Galea ◽  
George Annas
2020 ◽  
Vol 11 (SPL1) ◽  
pp. 469-471 ◽  
Author(s):  
Bhagyashri Vijay Chaudhari ◽  
Priya P. Chawle

“A lesson learned the hard way is a lesson learned for a lifetime.” Every bad situation hurts; however, it sure does teach us something a lesson. In the same manner of a new lesson for Human lifetime, history is observing 'The Novel COVID-19 ’, a very horrible and strange situation created due to fighting with a microscopic enemy. WHO on 11 February 2020 has announced a name for new disease as - 19 and has declared as a global public health emergency and subsequently as pandemic because of its widespread. This began as an outbreak in December 2019, with its in Wuhan, the People Republic of China has emerged as a public health emergency of international concern. is the group of a virus with non-segmented, single-stranded and positive RNA genome. This bad situation of pandemic creates new scenes in the life of people in a different manner, which will be going to be life lessons for them. Such lessons should be kept in mind for the safety of living beings and many more things. In this narrative review article, reference was taken from a different article published in various databases which include the view of different authors and writers on the "Lessons to be from Corona".


2020 ◽  
Author(s):  
Helmi Zakariah ◽  
Fadzilah bt Kamaluddin ◽  
Choo-Yee Ting ◽  
Hui-Jia Yee ◽  
Shereen Allaham ◽  
...  

UNSTRUCTURED The current outbreak of coronavirus disease 2019 (COVID-19) caused by the novel coronavirus named SARS-CoV-2 has been a major global public health problem threatening many countries and territories. Mathematical modelling is one of the non-pharmaceutical public health measures that plays a crucial role for mitigating the risk and impact of the pandemic. A group of researchers and epidemiologists have developed a machine learning-powered inherent risk of contagion (IRC) analytical framework to georeference the COVID-19 with an operational platform to plan response & execute mitigation activities. This framework dataset provides a coherent picture to track and predict the COVID-19 epidemic post lockdown by piecing together preliminary data on publicly available health statistic metrics alongside the area of reported cases, drivers, vulnerable population, and number of premises that are suspected to become a transmission area between drivers and vulnerable population. The main aim of this new analytical framework is to measure the IRC and provide georeferenced data to protect the health system, aid contact tracing, and prioritise the vulnerable.


Author(s):  
Gerald Bloom ◽  
Hayley MacGregor

Rapid development has brought significant economic and health benefits, but it has also exposed populations to new health risks. Public health as a scientific discipline and major government responsibility developed during the nineteenth century to help mitigate these risks. Public health actions need to take into account large inequalities in the benefits and harms associated with development between countries, between social groups, and between generations. This is especially important in the present context of very rapid change. It is important to acknowledge the global nature of the challenges people face and the need to involve countries with different cultures and historical legacies in arriving at consensus on an ethical basis for global cooperation in addressing these challenges. This chapter provides an analysis of these issues, using examples on the management of health risks associated with global development and rapid urbanization and on the emergence of organisms that are resistant to antibiotics.


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