Low parasite connectivity among three malaria hotspots in Thailand
Abstract Identifying sources and sinks of malaria transmission is critical for designing effective intervention strategies particularly as countries approach elimination. The number of malaria cases in Thailand decreased 90% between 2012 and 2020, yet elimination has remained a major public health c...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-12-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-02746-6 |
| _version_ | 1818719137777582080 |
|---|---|
| author | Hsiao-Han Chang Meng-Chun Chang Mathew Kiang Ayesha S. Mahmud Nattwut Ekapirat Kenth Engø-Monsen Prayuth Sudathip Caroline O. Buckee Richard J. Maude |
| author_facet | Hsiao-Han Chang Meng-Chun Chang Mathew Kiang Ayesha S. Mahmud Nattwut Ekapirat Kenth Engø-Monsen Prayuth Sudathip Caroline O. Buckee Richard J. Maude |
| author_sort | Hsiao-Han Chang |
| collection | DOAJ |
| description | Abstract Identifying sources and sinks of malaria transmission is critical for designing effective intervention strategies particularly as countries approach elimination. The number of malaria cases in Thailand decreased 90% between 2012 and 2020, yet elimination has remained a major public health challenge with persistent transmission foci and ongoing importation. There are three main hotspots of malaria transmission in Thailand: Ubon Ratchathani and Sisaket in the Northeast; Tak in the West; and Yala in the South. However, the degree to which these hotspots are connected via travel and importation has not been well characterized. Here, we develop a metapopulation model parameterized by mobile phone call detail record data to estimate parasite flow among these regions. We show that parasite connectivity among these regions was limited, and that each of these provinces independently drove the malaria transmission in nearby provinces. Overall, our results suggest that due to the low probability of domestic importation between the transmission hotspots, control and elimination strategies can be considered separately for each region. |
| first_indexed | 2024-12-17T20:02:10Z |
| format | Article |
| id | doaj.art-72dc8d5af6dc47d0bb13c6d86f8b5cea |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-17T20:02:10Z |
| publishDate | 2021-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-72dc8d5af6dc47d0bb13c6d86f8b5cea2022-12-21T21:34:27ZengNature PortfolioScientific Reports2045-23222021-12-011111610.1038/s41598-021-02746-6Low parasite connectivity among three malaria hotspots in ThailandHsiao-Han Chang0Meng-Chun Chang1Mathew Kiang2Ayesha S. Mahmud3Nattwut Ekapirat4Kenth Engø-Monsen5Prayuth Sudathip6Caroline O. Buckee7Richard J. Maude8Institute of Bioinformatics and Structural Biology and Department of Life Science, National Tsing Hua UniversityInstitute of Bioinformatics and Structural Biology and Department of Life Science, National Tsing Hua UniversityDepartment of Epidemiology and Population Health, Stanford UniversityDepartment of Demography, University of CaliforniaMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol UniversityTelenor ResearchDivision of Vector Borne Diseases, Ministry of Public HealthHarvard TH Chan School of Public Health, Harvard UniversityMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol UniversityAbstract Identifying sources and sinks of malaria transmission is critical for designing effective intervention strategies particularly as countries approach elimination. The number of malaria cases in Thailand decreased 90% between 2012 and 2020, yet elimination has remained a major public health challenge with persistent transmission foci and ongoing importation. There are three main hotspots of malaria transmission in Thailand: Ubon Ratchathani and Sisaket in the Northeast; Tak in the West; and Yala in the South. However, the degree to which these hotspots are connected via travel and importation has not been well characterized. Here, we develop a metapopulation model parameterized by mobile phone call detail record data to estimate parasite flow among these regions. We show that parasite connectivity among these regions was limited, and that each of these provinces independently drove the malaria transmission in nearby provinces. Overall, our results suggest that due to the low probability of domestic importation between the transmission hotspots, control and elimination strategies can be considered separately for each region.https://doi.org/10.1038/s41598-021-02746-6 |
| spellingShingle | Hsiao-Han Chang Meng-Chun Chang Mathew Kiang Ayesha S. Mahmud Nattwut Ekapirat Kenth Engø-Monsen Prayuth Sudathip Caroline O. Buckee Richard J. Maude Low parasite connectivity among three malaria hotspots in Thailand Scientific Reports |
| title | Low parasite connectivity among three malaria hotspots in Thailand |
| title_full | Low parasite connectivity among three malaria hotspots in Thailand |
| title_fullStr | Low parasite connectivity among three malaria hotspots in Thailand |
| title_full_unstemmed | Low parasite connectivity among three malaria hotspots in Thailand |
| title_short | Low parasite connectivity among three malaria hotspots in Thailand |
| title_sort | low parasite connectivity among three malaria hotspots in thailand |
| url | https://doi.org/10.1038/s41598-021-02746-6 |
| work_keys_str_mv | AT hsiaohanchang lowparasiteconnectivityamongthreemalariahotspotsinthailand AT mengchunchang lowparasiteconnectivityamongthreemalariahotspotsinthailand AT mathewkiang lowparasiteconnectivityamongthreemalariahotspotsinthailand AT ayeshasmahmud lowparasiteconnectivityamongthreemalariahotspotsinthailand AT nattwutekapirat lowparasiteconnectivityamongthreemalariahotspotsinthailand AT kenthengømonsen lowparasiteconnectivityamongthreemalariahotspotsinthailand AT prayuthsudathip lowparasiteconnectivityamongthreemalariahotspotsinthailand AT carolineobuckee lowparasiteconnectivityamongthreemalariahotspotsinthailand AT richardjmaude lowparasiteconnectivityamongthreemalariahotspotsinthailand |