Impact of Weather Variability on Emergency Medical Service Activity in Semarang City

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Vol 23 No 1 (2026): Jurnal Kesehatan Lingkungan Volume 23 No. 1, Januari 2026
Diterbitkan: Jan 27, 2026

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Jevita Sri Nurhayati Loleh
Public Health Study Program, Faculty of Health Sciences, Universitas Dian Nuswantoro, Semarang, Indonesia
Eti Rimawati
Public Health Study Program, Faculty of Health Sciences, Universitas Dian Nuswantoro, Semarang, Indonesia
Ahmad Zaini
Semarang City Health Office, Central Java, Indonesia
Wisnu Wardhana
Semarang City Health Office, Central Java, Indonesia
Siwi Praptining Wijayanti
Semarang City Health Office, Central Java, Indonesia

Abstrak

Weather variability influences the occurrence of medical emergencies that require rapid response, particularly in urban areas with high population density. This study aimed to analyze the effects of temperature, relative humidity, and rainfall on the number of daily PSC 119 calls in Semarang City. An ecological time-series design was applied using daily call records and meteorological data collected over 365 days in 2024, analyzed with a Distributed Lag Non-linear Model combined with quasi-Poisson regression to estimate risks across lag periods. The results show that both low and high temperatures substantially increased the risk of PSC 119 calls compared with the reference temperature. Moderate humidity was associated with higher risk, while very high humidity demonstrated a protective effect. Rainfall, particularly no-rain to light-rain conditions, also contributed to increased call frequency. Most weather-related effects occurred within 0–3 days, indicating an acute pattern of influence. These findings highlight the importance of integrating weather prediction into emergency preparedness systems to support workforce planning, resource allocation, and operational response. Further studies incorporating call-type classifications and additional environmental variables are recommended to improve understanding of weather-related emergency service demand.

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Referensi

WHO. Climate Change [Internet]. Vol. 923. 2025. Available from: https://www.who.int/news-room/fact-sheets/detail/climate-change-and-health

(IPCC) IP on CC. Climate Change 2023 Synthesis Report. 2023.

World Health Organization. Heat and Health [Internet]. 2024 [cited 2025 Dec 1]. Available from: https://www.who.int/news-room/fact-sheets/detail/climate-change-heat-and-health

(IPCC) IP on CC. Summary for policymakers. Vol. 9781107025, Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation: Special Report of the Intergovernmental Panel on Climate Change. 2022. 3–22 p.

Kementrian Kesehatan. Profil Kesehatan Indonesia 2023. Kementrian Kesehatan Republik Indonesia; 2023. 550 p.

Santamouris M. Recent progress on urban overheating and heat island research. Integrated assessment of the energy, environmental, vulnerability and health impact. Synergies with the global climate change. Energy Build. 2020;207.

Gasparrini A, Guo Y, Hashizume M, Lavigne E, Zanobetti A, Schwartz J, et al. Mortality risk attributable to high and low ambient temperature: A multicountry observational study. Lancet. 2015;386(9991):369–75.

AM Vicedo Cabrera, N. Scovronick. The burden of heat-related mortality attributable to recent human-induced climate change. Natl Clim Chang. 2021;11(6):492–500.

Mason HM, King JC, Peden AE, Watt K, Bosley E, Fitzgerald G, et al. Determining the Impact of Heatwaves on Emergency Ambulance Calls in Queensland : A Retrospective Population-Based Study. 2023;

Zheng H. Hourly level analysis of the effects of temperature extremes on emergency ambulance calls. J Glob Heal. 2025;15.

Chapman A, Davies W, Lang Y. Climate Risk Country Profile - Indonesia: The World Bank Group and Asian Development Bank. 2021; Available from: www.worldbank.org

(BMKG) BMK dan G. 2024 Jadi Tahun Terpanas Sepanjang Sejarah, Perubahan Iklim Kian Membahayakan Kesehatan Publik [Internet]. 2025. Available from: https://www.bmkg.go.id/berita/utama/bmkg-2024-jadi-tahun-terpanas-sepanjang-sejarah-perubahan-iklim-kian-membahayakan-kesehatan-publik

Ananta RR, Rayya M, Rehardiyan I. Analisis Dampak Fenomena Peningkatan Urban Heat Island Kota Semarang Tahun 2024 Universitas Negeri Semarang , Indonesia. 2025;

Dinas Kesehatan Kota Semarang. Profil Kesehatan Kota Semarang. 2024.

Casmuti, Fibriana AI. Kejadian Hipertensi di Wilayah Kerja Puskesmas Kedungmundu Kota Semarang. Higeia J Public Heal Res Dev [Internet]. 2023;7(1):123–34. Available from: http://journal.unnes.ac.id/sju/index.php/higeia

AT Medics. CASE STUDY : April 2023 Eradicating health inequalities for BAME patients with high blood pressure in Lambeth. 2023. p. 1–5.

Dinas Kesehatan Kota Semarang. Pelayanan Kegawatdaruratan Kota Semarang. Semarang; 2025.

van de Haterd J, Budiyono B, Darundiati YH, Spaan E. Environmental change and health risks in coastal Semarang, Indonesia: importance of local indigenous knowledge for strengthening adaptation policies. Cities Heal [Internet]. 2021;5(3):276–88. Available from: https://doi.org/10.1080/23748834.2020.1729451

Wang Y, Achilleos S, Salameh P, Kouis P, Yiallouros PK, Critselis E, et al. Temperature and hospital admissions in the Eastern Mediterranean: a case study in Cyprus. Environ Res Heal. 2024;2(2).

PoshtMashhadi A, Ijadi Maghsoodi A, Wood LC. The impact of extreme temperatures on emergency department visits: A systematic review of heatwaves, cold waves, and daily temperature variations. Sci Total Environ [Internet]. 2025;970(December 2024):178869. Available from: https://doi.org/10.1016/j.scitotenv.2025.178869

Chen ZY, Hu H, Yang J, Xing DG, Deng XY, Zou Y, et al. Association between ambient temperatures and injuries: a time series analysis using emergency ambulance dispatches in Chongqing, China. Environ Health Prev Med. 2023;28(1):1–9.

Peng J, Wu X, Chen J, Qian J, Li N, Yi Y, et al. Short-term effects of ambient air pollutants and meteorological factors on emergency department visits in tropical Haikou, China. Sci Rep. 2025;15(1):1–13.

Robert E. Davis, Erin S. Marklea, Sara Windoloskia, Margaret E. Houcka KBE, Kangc H, , Robert C. Balling Jrd, Damon R. Kuehle, John H. Burtone W, Farthinge ERR, Novicoffg WM. A Comparison of the Effect of Weather and Climate on Emergency Department Visitation in Roanoke and Charlottesville, Virginia. Physiol Behav. 2020;176(1):139–48.

Choi HJ, Jang JH, Wang IJ, Ha M, Yu S, Lee JH, et al. Correlations of Weather and Time Variables with Visits of Trauma Patients at a Regional Trauma Center in Korea. J Trauma Inj. 2020;33(4):248–55.

Gasparrini A, Armstrong B, Kenward MG. Distributed lag non-linear models. Stat Med. 2010;29(21):2224–34.