International journal of environmental research and public health · 2026
Sociodemographic and Structural Risk Factors for Dengue in a Rapidly Developing Indonesian District.
СтатьяНазвание и аннотация: Перевод в очереди
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Lubis Inke Nadia Diniyanti, Siregar Nelli Khalilah Sari, Yanni Gema Nazri, Fujiati Isti Ilmiati, Sihotang Lenni Evalina
Аннотация
BACKGROUND: Dengue infection is an expanding public health threat in Indonesia, increasingly reported in semi-urban areas undergoing rapid demographic and environmental change, where household-level determinants remain poorly characterised.
METHODS: We conducted a case-control study in the Deli Serdang district, North Sumatra, evaluating sociodemographic and environmental risk factors for dengue. Patients admitted to the district referral hospital (July-September 2024) were screened via medical records. Laboratory-confirmed dengue cases were compared with non-dengue febrile controls. Housing conditions and sociodemographic characteristics were assessed using a validated electronic questionnaire with photographic documentation. Multivariable logistic regression identified independent risk factors.
RESULTS: Of 238 individuals screened, 39 dengue cases and 78 controls were enrolled. Male sex (aOR 6.7, 95% CI 1.3-33.7), student status (aOR 7.8, 95% CI 1.1-56.5), absence of window screens (aOR 12.9, 95% CI 3.1-53.8), and surrounding vegetation (aOR 7.3, 95% CI 1.7-31.9) were independently associated with dengue infection. Rural residence was overrepresented among cases, suggesting expansion beyond traditional urban boundaries.
CONCLUSIONS: Dengue risk in a transitional setting is shaped by demographic exposure and modifiable structural vulnerabilities. Integrated prevention strategies, including window screening, covered water storage, environmental management, and school-based vector control, are needed in rapidly urbanising districts.
METHODS: We conducted a case-control study in the Deli Serdang district, North Sumatra, evaluating sociodemographic and environmental risk factors for dengue. Patients admitted to the district referral hospital (July-September 2024) were screened via medical records. Laboratory-confirmed dengue cases were compared with non-dengue febrile controls. Housing conditions and sociodemographic characteristics were assessed using a validated electronic questionnaire with photographic documentation. Multivariable logistic regression identified independent risk factors.
RESULTS: Of 238 individuals screened, 39 dengue cases and 78 controls were enrolled. Male sex (aOR 6.7, 95% CI 1.3-33.7), student status (aOR 7.8, 95% CI 1.1-56.5), absence of window screens (aOR 12.9, 95% CI 3.1-53.8), and surrounding vegetation (aOR 7.3, 95% CI 1.7-31.9) were independently associated with dengue infection. Rural residence was overrepresented among cases, suggesting expansion beyond traditional urban boundaries.
CONCLUSIONS: Dengue risk in a transitional setting is shaped by demographic exposure and modifiable structural vulnerabilities. Integrated prevention strategies, including window screening, covered water storage, environmental management, and school-based vector control, are needed in rapidly urbanising districts.