scholarly journals A National Framework to Improve Mortality, Morbidity, and Disparities Data for COVID-19 and Other Large-Scale Disasters

2021 ◽  
Vol 111 (S2) ◽  
pp. S93-S100
Author(s):  
Michael A. Stoto ◽  
Charles Rothwell ◽  
Maureen Lichtveld ◽  
Matthew K. Wynia

Timely and accurate data on COVID-19 cases and COVID-19‒related deaths are essential for making decisions with significant health, economic, and policy implications. A new report from the National Academies of Sciences, Engineering, and Medicine proposes a uniform national framework for data collection to more accurately quantify disaster-related deaths, injuries, and illnesses. This article describes how following the report’s recommendations could help improve the quality and timeliness of public health surveillance data during pandemics, with special attention to addressing gaps in the data necessary to understand pandemic-related health disparities.

Author(s):  
Chesley Richards ◽  
Brian Lee

Public health surveillance guides efforts to detect and monitor disease and injuries, assess the impact of interventions and assist in the management of and recovery from large-scale public health incidents. Actions informed by surveillance information take many forms, such as policy changes, new program interventions, public communications and investments in research. Local, state and federal public health professionals, government leaders, public health partners and the public are dependent on high quality, timely and actionable public health surveillance data. This Surveillance Strategy aims to improve overall surveillance capabilities, and by extension those of the public health system at large.


2020 ◽  
Vol 27 (6) ◽  
pp. 1-6
Author(s):  
Kamarul Imran Musa ◽  
Jafri Malin Abdullah

The recent spike of transmissibility of COVID-19 was evident by a large number of COVID-19 cases and apparent quick spread of SARS-CoV-2 in the state of Sabah, Selangor and Negeri Sembilan in Malaysia. The question remains as to what are the main contributory factors for the impending COVID-19 second wave in Malaysia and why the current surveillance system fails to show signs of the impending second — or the third — COVID-19 wave. In public health surveillance, data are the ultimate indicator, and in the era of big data and the Industrial Revolution 4.0, data has become a valuable commodity. The COVID-19 data keeper must fulfil some criteria to ensure COVID-19 data are useful. Researchers are obligated to share their COVID-19 data responsibly. The surveillance for COVID-19 is paramount, and the guidelines such as the one published by the World Health Organization ‘Public health surveillance for COVID-19: interim guidance’ must be referred to. Data must be taken seriously and shared to enable scientists, clinicians, epidemiologists and public health experts fight COVID-19.


Author(s):  
Matthew Brack ◽  
Michael Edelstein ◽  
Asha Herten-Crabb ◽  
David R. Harper

2015 ◽  
Vol 70 (5) ◽  
pp. 489-494 ◽  
Author(s):  
Catherine R. Lesko ◽  
Lynne A. Sampson ◽  
William C. Miller ◽  
Jacquelyn Clymore ◽  
Peter A. Leone ◽  
...  

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