Effect of environmental factors on the spatio-temporal patterns of influenza spread

2009 ◽  
Vol 137 (10) ◽  
pp. 1377-1387 ◽  
Author(s):  
K. M. L. CHARLAND ◽  
D. L. BUCKERIDGE ◽  
J. L. STURTEVANT ◽  
F. MELTON ◽  
B. Y. REIS ◽  
...  

SUMMARYAlthough spatio-temporal patterns of influenza spread often suggest that environmental factors play a role, their effect on the geographical variation in the timing of annual epidemics has not been assessed. We examined the effect of solar radiation, dew point, temperature and geographical position on the city-specific timing of epidemics in the USA. Using paediatric in-patient data from hospitals in 35 cities for each influenza season in the study period 2000–2005, we determined ‘epidemic timing’ by identifying the week of peak influenza activity. For each city we calculated averages of daily climate measurements for 1 October to 31 December. Bayesian hierarchical models were used to assess the strength of association between each variable and epidemic timing. Of the climate variables only solar radiation was significantly related to epidemic timing (95% CI −0·027 to −0·0032). Future studies may elucidate biological mechanisms intrinsically linked to solar radiation that contribute to epidemic timing in temperate regions.

2020 ◽  
Vol 7 ◽  
Author(s):  
Sara Haro ◽  
Miguel Lara ◽  
Irene Laiz ◽  
Carlos José González ◽  
Julio Bohórquez ◽  
...  

Author(s):  
S. Baig ◽  
M. S. Sarfraz

Malaria is a vector borne disease which is a major cause of morbidity and mortality. It is one of the major diseases in the category of infectious diseases. The survival and bionomics of malaria is affected by environmental factors such as climatic, demographic and land-use/land-cover etc. Currently, a very few under developing countries are using Geo-informatics approaches to control this disease. Gujrat a district of Pakistan, is still under threat of malaria disease. Current research is carried on malaria incidents obtained from District Executive Officer of Health Gujrat. The objective of this study was to explore the spatio-temporal patterns of malaria in district Gujrat and to identify the areas being affected by Malaria. Furthermore, it has been also analyzed the relationship between malaria incident and environmental factors in highly favorable zones. Data is analyzed based on spatial and temporal patterns using (Moran’s I). Moreover cluster and hot spots analysis were performed on the incident data. This study shows positive correlation with rainfall, vegetation index, population density and water bodies; while it shows positive and negative correlation with temperature in different seasons. However, variation between amount of vegetation and water bodies were observed. Finding of this research can help the decision makers to take preventive measures and reduce the morbidity and mortality related with malaria in Gujrat, Pakistan.


Boreas ◽  
2015 ◽  
Vol 45 (2) ◽  
pp. 207-219 ◽  
Author(s):  
Jeremy A. Graham ◽  
Jeremy A. Hartsock ◽  
Dale H. Vitt ◽  
R. Kelman Wieder ◽  
John J. Gibson

2019 ◽  
Vol 38 (2) ◽  
pp. 239-254
Author(s):  
M.B. SINGH ◽  
◽  
NITIN KUMAR MISHRA ◽  

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