Disease Ecology of Rickettsial Species: A Data Science Approach.

ABSTRACT: We present an approach to assess the disease ecology of rickettsial species by investigating open databases and by using data science methodologies. First, we explored the epidemiological trend and changes of human rickettsial disease epidemics over the years and compared this trend with knowledge on emerging rickettsial diseases given by published reviews. Second, we investigated the global diversity of rickettsial species recorded in humans, domestic animals and wild mammals, using the Enhanced Infectious Disease Database (EID2) and employing a network analysis approach to represent and quantify transmission ecology of rickettsial species among their carriers, arthropod vectors or mammal reservoirs and humans. Our results confirmed previous studies that emphasized the increasing incidenc

SUBMITTER: Morand S 

PROVIDER: S-EPMC7344507 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature