scholarly journals SPATIAL-TEMPORAL DISTRIBUTION OF WATERBORNE INFECTIOUS DISEASE RISK USING THE HYDRAULIC MODEL AND OUTPATIENT DATA

2011 ◽  
Vol 67 (4) ◽  
pp. I_643-I_648
Author(s):  
Ayako AMANO ◽  
Taisuke SAKUMA ◽  
So KAZAMA
Keyword(s):  
Infectious Disease ◽  
Disease Risk ◽  
Temporal Distribution ◽  
Hydraulic Model

scholarly journals Effect of Hand Hygiene on Infectious Disease Risk in the Community Setting: A Meta-Analysis

2008 ◽  
Vol 98 (8) ◽  
pp. 1372-1381 ◽  
Author(s):  
Allison E. Aiello ◽  
Rebecca M. Coulborn ◽  
Vanessa Perez ◽  
Elaine L. Larson
Keyword(s):  
Infectious Disease ◽  
Hand Hygiene ◽  
Disease Risk ◽  
Meta Analysis ◽  
Community Setting

scholarly journals Impact of Infectious Disease Risk Perception on Perceived Retail Crowding: With Special Reference to Retail Industry in Sri Lanka

2020 ◽  
Author(s):  
AISDL
Keyword(s):  
Infectious Disease ◽  
Sri Lanka ◽  
Consumer Behaviour ◽  
Disease Risk ◽  
Positive Influence ◽  
Spatial Density ◽  
Interpersonal Interactions ◽  
Consumption Decision ◽  
The Impact ◽  
Human Density

The global pandemic of COVID 19 has changed consumer behaviour to reduce the risk. This is common for all interpersonal interactions of individuals especially in maintaining the recommended interpersonal distance based on the recommendations from the health experts. Sri Lanka as a developing country affected by COVID 19, observed changes in individuals' day today’ consumption decision making due to pandemic. Importantly the retailing sector is highly influenced by the conditions since the frequency of interpersonal interactions and degree of interaction is higher in the retailing sector. Interestingly the retailing sector with its largest contributor, the SMEs need to identify the unique changes that happen to the consumer behaviour in responding to them. Accordingly, the objective of the study is to examine the impact of infectious disease risk on the perceived retail crowding in two perspectives of human density and the spatial density. The study has used a quantitative survey in collecting data with the online self-administrated questionnaire with a sample of 100 consumers. Data analysis has been done by using a PLS-SEM with the support of SmartPLS version 3. The key findings of the study emphasize the significant positive influence of infectious disease risk on human density as well as on the spatial density. Based on the findings the study attempts to provide the implications for the retailing industry to cope with situational changes in the environment.

A Candide response to Panglossian accusations by Randolph and Dobson: biodiversity buffers disease

Parasitology ◽  
2013 ◽  
Vol 140 (10) ◽  
pp. 1196-1198 ◽  
Author(s):  
RICHARD S. OSTFELD
Keyword(s):  
Infectious Disease ◽  
Disease Risk ◽  
Negative Relationship ◽  
Dilution Effect ◽  
Widespread Phenomenon ◽  
High Diversity

SUMMARYRandolph and Dobson (2012) criticize the dilution effect, which describes the negative relationship between biodiversity and infectious disease risk. Unfortunately, their commentary includes distortions, errors of omission, and errors of commission, which are rebutted herein. Contrary to their claims, the dilution effect is not a ‘mantra’ that asserts that reduced disease risk is a ‘universal’ outcome of high diversity. Although universality of the dilution effect has not been claimed, and conditions under which diversity can amplify disease risk have been described, the growing literature indicates that the dilution effect is indeed a widespread phenomenon.

scholarly journals The social benefits of private infectious disease-risk mitigation

2015 ◽  
Vol 8 (4) ◽  
pp. 467-479 ◽  
Author(s):  
Benjamin R. Morin ◽  
Charles Perrings ◽  
Ann Kinzig ◽  
Simon Levin
Keyword(s):  
Infectious Disease ◽  
Disease Risk ◽  
Risk Mitigation ◽  
Social Benefits ◽  
The Social

scholarly journals Effect of rodent density on tick and tick-borne pathogen populations: consequences for infectious disease risk

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Aleksandra I. Krawczyk ◽  
Gilian L. A. van Duijvendijk ◽  
Arno Swart ◽  
Dieter Heylen ◽  
Ryanne I. Jaarsma ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Disease Risk ◽  
Pathogen Populations
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