A Disease Control-Oriented Land Cover Land Use Map for Myanmar
Malaria is a serious infectious disease that leads to massive casualties globally. Myanmar is a key battleground for the global fight against malaria because it is where the emergence of drug-resistant malaria parasites has been documented. Controlling the spread of malaria in Myanmar thus carries g...
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| Format: | Article |
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MDPI AG
2021-06-01
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| Series: | Data |
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| Online Access: | https://www.mdpi.com/2306-5729/6/6/63 |
| _version_ | 1797530236446834688 |
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| author | Dong Chen Varada Shevade Allison Baer Jiaying He Amanda Hoffman-Hall Qing Ying Yao Li Tatiana V. Loboda |
| author_facet | Dong Chen Varada Shevade Allison Baer Jiaying He Amanda Hoffman-Hall Qing Ying Yao Li Tatiana V. Loboda |
| author_sort | Dong Chen |
| collection | DOAJ |
| description | Malaria is a serious infectious disease that leads to massive casualties globally. Myanmar is a key battleground for the global fight against malaria because it is where the emergence of drug-resistant malaria parasites has been documented. Controlling the spread of malaria in Myanmar thus carries global significance, because the failure to do so would lead to devastating consequences in vast areas where malaria is prevalent in tropical/subtropical regions around the world. Thanks to its wide and consistent spatial coverage, remote sensing has become increasingly used in the public health domain. Specifically, remote sensing-based land cover/land use (LCLU) maps present a powerful tool that provides critical information on population distribution and on the potential human-vector interactions interfaces on a large spatial scale. Here, we present a 30-meter LCLU map that was created specifically for the malaria control and eradication efforts in Myanmar. This bottom-up approach can be modified and customized to other vector-borne infectious diseases in Myanmar or other Southeastern Asian countries. |
| first_indexed | 2024-03-10T10:26:09Z |
| format | Article |
| id | doaj.art-3a64e8e84e6f4e97bde48fc0c98c6a2c |
| institution | Directory Open Access Journal |
| issn | 2306-5729 |
| language | English |
| last_indexed | 2024-03-10T10:26:09Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Data |
| spelling | doaj.art-3a64e8e84e6f4e97bde48fc0c98c6a2c2023-11-21T23:57:11ZengMDPI AGData2306-57292021-06-01666310.3390/data6060063A Disease Control-Oriented Land Cover Land Use Map for MyanmarDong Chen0Varada Shevade1Allison Baer2Jiaying He3Amanda Hoffman-Hall4Qing Ying5Yao Li6Tatiana V. Loboda7Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USADepartment of Geographical Sciences, University of Maryland, College Park, MD 20742, USADepartment of Geographical Sciences, University of Maryland, College Park, MD 20742, USADepartment of Earth System Science, Tsinghua University, Beijing 100084, ChinaDepartment of Geographical Sciences, University of Maryland, College Park, MD 20742, USADepartment of Geographical Sciences, University of Maryland, College Park, MD 20742, USADepartment of Geographical Sciences, University of Maryland, College Park, MD 20742, USADepartment of Geographical Sciences, University of Maryland, College Park, MD 20742, USAMalaria is a serious infectious disease that leads to massive casualties globally. Myanmar is a key battleground for the global fight against malaria because it is where the emergence of drug-resistant malaria parasites has been documented. Controlling the spread of malaria in Myanmar thus carries global significance, because the failure to do so would lead to devastating consequences in vast areas where malaria is prevalent in tropical/subtropical regions around the world. Thanks to its wide and consistent spatial coverage, remote sensing has become increasingly used in the public health domain. Specifically, remote sensing-based land cover/land use (LCLU) maps present a powerful tool that provides critical information on population distribution and on the potential human-vector interactions interfaces on a large spatial scale. Here, we present a 30-meter LCLU map that was created specifically for the malaria control and eradication efforts in Myanmar. This bottom-up approach can be modified and customized to other vector-borne infectious diseases in Myanmar or other Southeastern Asian countries.https://www.mdpi.com/2306-5729/6/6/63remote sensingpublic healthinfectious diseasemalariaMyanmarland cover/land use map |
| spellingShingle | Dong Chen Varada Shevade Allison Baer Jiaying He Amanda Hoffman-Hall Qing Ying Yao Li Tatiana V. Loboda A Disease Control-Oriented Land Cover Land Use Map for Myanmar Data remote sensing public health infectious disease malaria Myanmar land cover/land use map |
| title | A Disease Control-Oriented Land Cover Land Use Map for Myanmar |
| title_full | A Disease Control-Oriented Land Cover Land Use Map for Myanmar |
| title_fullStr | A Disease Control-Oriented Land Cover Land Use Map for Myanmar |
| title_full_unstemmed | A Disease Control-Oriented Land Cover Land Use Map for Myanmar |
| title_short | A Disease Control-Oriented Land Cover Land Use Map for Myanmar |
| title_sort | disease control oriented land cover land use map for myanmar |
| topic | remote sensing public health infectious disease malaria Myanmar land cover/land use map |
| url | https://www.mdpi.com/2306-5729/6/6/63 |
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