(a) Seasonal Mann-Kendall p-values of seasonal sensitive life style diseases represented as heat map for the entire period (Jan 2004 to Dec 2016). The hierarchical clustering clearly divided them into diseases with (red box) and without (blue box) season trend. (b) Shape based distance matrix scores among the major highly comorbid diseases of high altitude represented as heat map for the entire period (Jan 2004 to Dec 2016). The hierarchical clustering clearly divided them into diseases with (red box) and without (blue box) seasonal pattern matching. Please note that the four diseases (obesity, asthma, hypertension, and fibrosis) in the red boxes have similar seasonal trends and seasonal patterns named as “Group1” diseases (S1 Table).</p
<p>Clustering was based on four independent indices of temporal variation including mean seasonal co...
Drivers categorized as being related to (a) vector seasonality, (b) seasonality in nonhuman animal h...
AbstractSpatiotemporal distribution of a disease displays the detail of its occurrence; spatiotempor...
Seasonal and human physiological changes are important factors in the development of many diseases. ...
Seasonal and human physiological changes are important factors in the development of many diseases. ...
The pipeline starts from the DSN corresponds to step 5 in Fig 1. Step1: the DSN was clustered using ...
The average RSV of the core-DSN was diseases more than 20 for the entire period were boxed. These se...
Seasonal patterns have been found in a remarkable range of health conditions, including birth defect...
<p>Months and seasons shown refers to month/seasons of the northern hemisphere (i.e. January = month...
<p>Months and seasons shown refers to month/seasons of the northern hemisphere (i.e. January = month...
Drivers categorized as being related to (a) vector seasonality, (c) seasonal climate (e.g., temperat...
The purpose of this study was to assess how seasonality is associated with some of the most common n...
The DSN subjected to the four community detection algorithms based on the (a) edge betweenness (EB),...
Abstract Many common diseases, such as the flu and cardiovascular disease, increase markedly in wint...
Drivers categorized as being related to (a) vector seasonality, (b) seasonality in nonhuman animal h...
<p>Clustering was based on four independent indices of temporal variation including mean seasonal co...
Drivers categorized as being related to (a) vector seasonality, (b) seasonality in nonhuman animal h...
AbstractSpatiotemporal distribution of a disease displays the detail of its occurrence; spatiotempor...
Seasonal and human physiological changes are important factors in the development of many diseases. ...
Seasonal and human physiological changes are important factors in the development of many diseases. ...
The pipeline starts from the DSN corresponds to step 5 in Fig 1. Step1: the DSN was clustered using ...
The average RSV of the core-DSN was diseases more than 20 for the entire period were boxed. These se...
Seasonal patterns have been found in a remarkable range of health conditions, including birth defect...
<p>Months and seasons shown refers to month/seasons of the northern hemisphere (i.e. January = month...
<p>Months and seasons shown refers to month/seasons of the northern hemisphere (i.e. January = month...
Drivers categorized as being related to (a) vector seasonality, (c) seasonal climate (e.g., temperat...
The purpose of this study was to assess how seasonality is associated with some of the most common n...
The DSN subjected to the four community detection algorithms based on the (a) edge betweenness (EB),...
Abstract Many common diseases, such as the flu and cardiovascular disease, increase markedly in wint...
Drivers categorized as being related to (a) vector seasonality, (b) seasonality in nonhuman animal h...
<p>Clustering was based on four independent indices of temporal variation including mean seasonal co...
Drivers categorized as being related to (a) vector seasonality, (b) seasonality in nonhuman animal h...
AbstractSpatiotemporal distribution of a disease displays the detail of its occurrence; spatiotempor...