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Low parasite connectivity among three malaria hotspots in Thailand.
Chang, Hsiao-Han; Chang, Meng-Chun; Kiang, Mathew; Mahmud, Ayesha S; Ekapirat, Nattwut; Engø-Monsen, Kenth; Sudathip, Prayuth; Buckee, Caroline O; Maude, Richard J.
Affiliation
  • Chang HH; Institute of Bioinformatics and Structural Biology and Department of Life Science, National Tsing Hua University, Hsinchu, Taiwan. hhchang@life.nthu.edu.tw.
  • Chang MC; Institute of Bioinformatics and Structural Biology and Department of Life Science, National Tsing Hua University, Hsinchu, Taiwan.
  • Kiang M; Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA.
  • Mahmud AS; Department of Demography, University of California, Berkeley, USA.
  • Ekapirat N; Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
  • Engø-Monsen K; Telenor Research, Oslo, Norway.
  • Sudathip P; Division of Vector Borne Diseases, Ministry of Public Health, Nonthaburi, Thailand.
  • Buckee CO; Harvard TH Chan School of Public Health, Harvard University, Boston, USA.
  • Maude RJ; Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand. richard@tropmedres.ac.
Sci Rep ; 11(1): 23348, 2021 12 02.
Article in En | MEDLINE | ID: mdl-34857842
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plasmodium falciparum / Malaria, Falciparum / Cell Phone / Human Migration Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Sci Rep Year: 2021 Document type: Article Affiliation country: Taiwán

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plasmodium falciparum / Malaria, Falciparum / Cell Phone / Human Migration Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Sci Rep Year: 2021 Document type: Article Affiliation country: Taiwán