Publication:
Mapping imported malaria in Bangladesh using parasite genetic and human mobility data

Issued Date

2019-04-01

Resource Type

Article

ISSN

2050084X

DOI

10.7554/eLife.43481

Other identifier(s)

2-s2.0-85065111606

Rights

Mahidol University

Rights Holder(s)

SCOPUS

Bibliographic Citation

eLife. Vol.8, (2019)

Suggested Citation

Hsiao Han Chang, Amy Wesolowski, Ipsita Sinha, Christopher G. Jacob, Ayesha Mahmud, Didar Uddin, Sazid Ibna Zaman, Md Amir Hossain, M. Abul Faiz, Aniruddha Ghose, Abdullah Abu Sayeed, M. Ridwanur Rahman, Akramul Islam, Mohammad Jahirul Karim, M. Kamar Rezwan, Abul Khair Mohammad Shamsuzzaman, Sanya Tahmina Jhora, M. M. Aktaruzzaman, Eleanor Drury, Sonia Gonçalves, Mihir Kekre, Mehul Dhorda, Ranitha Vongpromek, Olivo Miotto, Kenth Engø-Monsen, Dominic Kwiatkowski, Richard J. Maude, Caroline Buckee Mapping imported malaria in Bangladesh using parasite genetic and human mobility data. eLife. Vol.8, (2019). doi:10.7554/eLife.43481 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/50220

Research Projects

Organizational Units

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Thesis

Title

Mapping imported malaria in Bangladesh using parasite genetic and human mobility data

Author(s)

Hsiao Han Chang
 Amy Wesolowski
 Ipsita Sinha
 Christopher G. Jacob
 Ayesha Mahmud
 Didar Uddin
 Sazid Ibna Zaman
 Md Amir Hossain
 M. Abul Faiz
 Aniruddha Ghose
 Abdullah Abu Sayeed
 M. Ridwanur Rahman
 Akramul Islam
 Mohammad Jahirul Karim
 M. Kamar Rezwan
 Abul Khair Mohammad Shamsuzzaman
 Sanya Tahmina Jhora
 M. M. Aktaruzzaman
 Eleanor Drury
 Sonia Gonçalves
 Mihir Kekre
 Mehul Dhorda
 Ranitha Vongpromek
 Olivo Miotto
 Kenth Engø-Monsen
 Dominic Kwiatkowski
 Richard J. Maude
 Caroline Buckee

Other Contributor(s)

Telenor ASA
 Harvard T.H. Chan School of Public Health
 Organisation Mondiale de la Santé
 University of Oxford
 Bangladesh Rural Advancement Committee
 Mahidol University
 Chittagong Medical College Hospital
 Nuffield Department of Clinical Medicine
 Chittagong Medical College
 Johns Hopkins Bloomberg School of Public Health
 Wellcome Sanger Institute
 Asia Regional Centre
 Dev Care Foundation
 Shaheed Suhrawardy Medical College
 Directorate General of Health Services

Abstract

© Iordanov et al. For countries aiming for malaria elimination, travel of infected individuals between endemic areas undermines local interventions. Quantifying parasite importation has therefore become a priority for national control programs. We analyzed epidemiological surveillance data, travel surveys, parasite genetic data, and anonymized mobile phone data to measure the spatial spread of malaria parasites in southeast Bangladesh. We developed a genetic mixing index to estimate the likelihood of samples being local or imported from parasite genetic data and inferred the direction and intensity of parasite flow between locations using an epidemiological model integrating the travel survey and mobile phone calling data. Our approach indicates that, contrary to dogma, frequent mixing occurs in low transmission regions in the southwest, and elimination will require interventions in addition to reducing imported infections from forested regions. Unlike risk maps generated from clinical case counts alone, therefore, our approach distinguishes areas of frequent importation as well as high transmission.

Keyword(s)

Biochemistry, Genetics and Molecular Biology
 Immunology and Microbiology

Availability

URI

https://repository.li.mahidol.ac.th/handle/20.500.14594/50220

Collections

Scopus 2019