A quantitative risk assessment of the public health impact of the Finnish Salmonella control program for broilers

2005 ◽  
Vol 102 (1) ◽  
pp. 21-35 ◽  
Author(s):  
R. Maijala ◽  
J. Ranta ◽  
E. Seuna ◽  
S. Pelkonen ◽  
T. Johansson
Keyword(s):  
Public Health ◽  
Risk Assessment ◽  
Control Program ◽  
Health Impact ◽  
Quantitative Risk Assessment ◽  
Public Health Impact ◽  
The Public ◽  
Salmonella Control

scholarly journals Risk Assessment of Salmonellosis from Consumption of Alfalfa Sprouts and Evaluation of the Public Health Impact of Sprout Seed Treatment and Spent Irrigation Water Testing

Risk Analysis ◽  
2018 ◽  
Vol 38 (8) ◽  
pp. 1738-1757 ◽  
Author(s):  
Yuhuan Chen ◽  
Régis Pouillot ◽  
Sofia M. Santillana Farakos ◽  
Steven Duret ◽  
Judith Spungen ◽  
...  
Keyword(s):  
Public Health ◽  
Risk Assessment ◽  
Irrigation Water ◽  
Seed Treatment ◽  
Health Impact ◽  
Public Health Impact ◽  
The Public ◽  
Water Testing ◽  
Alfalfa Sprouts

scholarly journals The Public Health Impact of Coccidioidomycosis in Arizona and California

2011 ◽  
Vol 8 (4) ◽  
pp. 1150-1173 ◽  
Author(s):  
Richard F. Hector ◽  
George W. Rutherford ◽  
Clarisse A. Tsang ◽  
Laura M. Erhart ◽  
Orion McCotter ◽  
...  
Keyword(s):  
Public Health ◽  
Health Impact ◽  
Public Health Impact ◽  
The Public

The congenital anomalies registry in Belarus: a tool for assessing the public health impact of the Chernobyl accident

2003 ◽  
Vol 17 (6) ◽  
pp. 659-666 ◽  
Author(s):  
G Lazjuk ◽  
P Verger ◽  
B Gagnière ◽  
Zh Kravchuk ◽  
I Zatsepin ◽  
...  
Keyword(s):  
Public Health ◽  
Chernobyl Accident ◽  
Congenital Anomalies ◽  
Health Impact ◽  
Public Health Impact ◽  
The Public

Development of a probabilistic model for quantitative risk assessment of COVID-19 in Brazil

2021 ◽  
pp. 2150069
Author(s):  
Paulo Gabriel Santos Campos de Siqueira ◽  
Alexandre Calumbi Antunes de Oliveira ◽  
Heitor Oliveira Duarte ◽  
Márcio das Chagas Moura
Keyword(s):  
Public Health ◽  
Risk Assessment ◽  
Health System ◽  
Probabilistic Model ◽  
Public Health System ◽  
The Other ◽  
Quantitative Risk Assessment ◽  
The Public ◽  
Business As Usual ◽  
Excessive Number

We have developed a probabilistic model to quantify the risks of COVID-19 explosion in Brazil, the epicenter of COVID-19 in Latin America. By explosion, we mean an excessive number of new infections that would overload the public health system. We made predictions from July 12th to Oct 10th, 2020 for various containment strategies, including business as usual, stay at home (SAH) for young and elderly, flight restrictions among regions, gradual resumption of business and the compulsory wearing of masks. They indicate that: if a SAH strategy were sustained, there would be a negligible risk of explosion and the public health system would not be overloaded. For the other containment strategies, the scenario that combines the gradual resumption of business with the mandatory wearing of masks would be the most effective, reducing risk to considerable category. Should this strategy is applied together with the investment in more Intensive Care Unit beds, risk could be reduced to negligible levels. A sensitivity analysis sustained that risks would be negligible if SAH measures were adopted thoroughly.

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