Wellcome open research · 2026
A study protocol for a baseline community-based cross-sectional study to investigate malaria and dengue transmission dynamics in a development area of new capital city, Indonesia.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Ошибки и ограничения
История · было → стало
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Pradana Alfa, Oktaviani Margareta, Prameswari Hellen, Supriyanto Dedy, Waluyo Ponco, Ndoen Ermi, Rosadi Dian, Lubis Inke, Suwarti Suwarti, Subekti Decy, Kusumaningrum Tina, Carroll Miles, Djaafara Bimandra, de Alwis Ruklanthi, Mishra Swapnil, Drakeley Chris, Leder Karin, Lechner Alex, Fornace Kimberly, Elyazar Iqbal, Surendra Henry
Аннотация
BACKGROUND: The relocation of Indonesia's capital to Ibu Kota Nusantara (IKN) in East Kalimantan, a malaria and dengue hotspot, presents new risks of infectious disease transmission due to land-use changes and population movements. Current knowledge on the impact of these changes on vector-borne diseases, especially Plasmodium knowlesi malaria and other arboviruses, is limited. Serological surveillance offers a robust method for assessing population exposure.
METHOD: A community-based cross-sectional study will be conducted in IKN and its surrounding area, in East Kalimantan. Approximately 2,000 individuals aged >1 year will be enrolled. Finger-prick blood samples will be collected for serological analysis (multiplex bead-based assays for malaria species, and dengue virus serotypes) and malaria RDTs. Demographic, clinical, environmental, and geolocation data will also be collected. Statistical and geostatistical models will be used to assess seroprevalence, spatial patterns, and risk factors of exposure to malaria and dengue.
METHOD: A community-based cross-sectional study will be conducted in IKN and its surrounding area, in East Kalimantan. Approximately 2,000 individuals aged >1 year will be enrolled. Finger-prick blood samples will be collected for serological analysis (multiplex bead-based assays for malaria species, and dengue virus serotypes) and malaria RDTs. Demographic, clinical, environmental, and geolocation data will also be collected. Statistical and geostatistical models will be used to assess seroprevalence, spatial patterns, and risk factors of exposure to malaria and dengue.