Disease Ecology of Rickettsial Species: A Data Science Approach
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 o...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-04-01
|
| Series: | Tropical Medicine and Infectious Disease |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2414-6366/5/2/64 |
| _version_ | 1827717914931757056 |
|---|---|
| author | Serge Morand Kittipong Chaisiri Anamika Kritiyakan Rawadee Kumlert |
| author_facet | Serge Morand Kittipong Chaisiri Anamika Kritiyakan Rawadee Kumlert |
| author_sort | Serge Morand |
| collection | DOAJ |
| description | 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 incidence in rickettsial diseases at the onset of 1970. Using the Global Infectious Diseases and Epidemiology Online Network (GIDEON) database, it was even possible to date the start of this increase of global outbreaks in rickettsial diseases in 1971. Network analysis showed the importance of domestic animals and peridomestic mammals in sharing rickettsial diseases with humans and other wild animals, acting as important hubs or connectors for rickettsial transmission. |
| first_indexed | 2024-03-10T20:12:02Z |
| format | Article |
| id | doaj.art-08198abea44147c2b729b0f85fc63e3d |
| institution | Directory Open Access Journal |
| issn | 2414-6366 |
| language | English |
| last_indexed | 2024-03-10T20:12:02Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Tropical Medicine and Infectious Disease |
| spelling | doaj.art-08198abea44147c2b729b0f85fc63e3d2023-11-19T22:49:39ZengMDPI AGTropical Medicine and Infectious Disease2414-63662020-04-01526410.3390/tropicalmed5020064Disease Ecology of Rickettsial Species: A Data Science ApproachSerge Morand0Kittipong Chaisiri1Anamika Kritiyakan2Rawadee Kumlert3CNRS ISEM—CIRAD ASTRE—Montpellier University, 34090 Montpellier, FranceDepartment of Helminthology, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, ThailandFaculty of Veterinary Technology, Kasetsart University, Bangkok 10900, ThailandThe Office of Disease Prevention and Control 12, Songkhla Province (ODPC12), Department of Disease Control, Ministry of Public Health, Songkhla 90000, ThailandWe 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 incidence in rickettsial diseases at the onset of 1970. Using the Global Infectious Diseases and Epidemiology Online Network (GIDEON) database, it was even possible to date the start of this increase of global outbreaks in rickettsial diseases in 1971. Network analysis showed the importance of domestic animals and peridomestic mammals in sharing rickettsial diseases with humans and other wild animals, acting as important hubs or connectors for rickettsial transmission.https://www.mdpi.com/2414-6366/5/2/64<i>Rickettsia</i><i>Orientia</i><i>Ehrlichia</i><i>Anaplasma</i>rickettsial diseasesticks |
| spellingShingle | Serge Morand Kittipong Chaisiri Anamika Kritiyakan Rawadee Kumlert Disease Ecology of Rickettsial Species: A Data Science Approach Tropical Medicine and Infectious Disease <i>Rickettsia</i> <i>Orientia</i> <i>Ehrlichia</i> <i>Anaplasma</i> rickettsial diseases ticks |
| title | Disease Ecology of Rickettsial Species: A Data Science Approach |
| title_full | Disease Ecology of Rickettsial Species: A Data Science Approach |
| title_fullStr | Disease Ecology of Rickettsial Species: A Data Science Approach |
| title_full_unstemmed | Disease Ecology of Rickettsial Species: A Data Science Approach |
| title_short | Disease Ecology of Rickettsial Species: A Data Science Approach |
| title_sort | disease ecology of rickettsial species a data science approach |
| topic | <i>Rickettsia</i> <i>Orientia</i> <i>Ehrlichia</i> <i>Anaplasma</i> rickettsial diseases ticks |
| url | https://www.mdpi.com/2414-6366/5/2/64 |
| work_keys_str_mv | AT sergemorand diseaseecologyofrickettsialspeciesadatascienceapproach AT kittipongchaisiri diseaseecologyofrickettsialspeciesadatascienceapproach AT anamikakritiyakan diseaseecologyofrickettsialspeciesadatascienceapproach AT rawadeekumlert diseaseecologyofrickettsialspeciesadatascienceapproach |