Open Access
Issue |
BIO Web Conf.
Volume 155, 2025
10th-ICCC – 10th International Conference on Climate Change “Climate Change, Plant and Health”
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Article Number | 10005 | |
Number of page(s) | 7 | |
Section | Climate Change Impact on Health and Adaptation/Mitigation Strategy | |
DOI | https://doi.org/10.1051/bioconf/202515510005 | |
Published online | 29 January 2025 |
- P. Deichstetter, The Effect of climate change on mosquito-borne disease. The American Biology Teacher. 79, 3 (2017). [Google Scholar]
- C. B. Field, J. Lubchenco, J. T. Overpeck, C. Parmesan, T. L. Root, S. W. Running, S. H. Schneider, A. Reid, A. F. Johnson, and A. Cline, Ecological Impacts of Climate Change, (The National Academy of Science, Maryland, 2008). [Google Scholar]
- R.T. Watson, M.C. Zinyowera, R.H. Moss, The Regional Impact of Climate Change: An Assessment of Vulnerability, (Cambridge University Press, Cambridge, 1998). [Google Scholar]
- G.L.C. Ferreira, Global Dengue Epidemiology Trends. Revista do Instituto de Medicina Tropical de São Paulo. 54, S5-S6 (2011). https://doi.org/10.1590/s0036-46652012000700003 [CrossRef] [PubMed] [Google Scholar]
- CDC. Dengue. Available at: https://www.cdc.gov/dengue/index.html (2024) [Google Scholar]
- Kemenkes. Profil Kesehatan Indonesia tahun 2017, (Kementerian Kesehatan, Jakarta, 2018) [Google Scholar]
- Kemenkes. Profil Kesehatan Indonesia tahun 2018, (Kementerian Kesehatan, Jakarta, 2019) [Google Scholar]
- Dinkes Jatim. Profil Kesehatan Jawa Timur tahun 2015, (Dinas Kesehatan Jawa Timur, Surabaya, 2016) [Google Scholar]
- Dinkes Malang. Profil Kesehatan Kabupaten Malang tahun 2014, (Dinas Kesehatan Kabupaten Malang, Malang, 2015) [Google Scholar]
- Dinkes Malang. Profil Kesehatan Kabupaten Malang tahun 2012, (Dinas Kesehatan Kabupaten Malang, Malang, 2013) [Google Scholar]
- BPS. Kabupaten Malang Dalam Angka 2019, (Badan Pusat Statistik, Malang, 2020) [Google Scholar]
- A. P. Firdaus, Analisis Spasial Unsur-Unsur Cuaca, Urbanisasi, dan Kepadatan Penduduk Dengan Kejadian Demam Berdarah Dengue di Kota Surabaya Tahun 20142017, Master Thesis, Universitas Gadjah Mada, Fakultas Kedokteran, Kesehatan Masyarakat, dan Keperawatan, Indonesia, 2018 [Google Scholar]
- Nilasari, Sebaran kasus malaria berdasarkan variabel cuaca dengan pendekatan spasial-temporal di Kabupaten Kulon Progo, Yogyakarta tahun 2005-2015, Master Thesis, Universitas Gadjah Mada, Fakultas Kedokteran, Kesehatan Masyarakat, dan Keperawatan, Indonesia, 2017 [Google Scholar]
- P.W. Dhewantara, R. Marina, T. Puspita, Y. Ariati, E. Purwanto, M. Hananto, W. Hu, R.J.S. Magalhaes. Spatial and temporal variation of dengue incidence. Travel Medicine and Infectious Disease. 32, 101437 (2019). https://doi.org/10.1016/j.tmaid.2019.06.008 [CrossRef] [Google Scholar]
- R. Akter, S. Naish, M. Gatton, H. Bambrick, W. Hu, S. Tong. Spatial and temporal analysis of dengue infections in Queensland, Australia: recent trend and perspective. PLoS ONE. 14, e0220134 (2019). https://doi.org/10.1371/journal.pone.0220134 [CrossRef] [Google Scholar]
- M. Bouzid, F. J. Colón-González, T. Lung, et al., Climate change and the emergence of vector-borne diseases in Europe: case study of dengue fever. BMC Public Health. 14, 781 (2014). https://doi.org/10.1186/1471-2458-14-781 [CrossRef] [Google Scholar]
- A.K. Githeko, S.W. Lindsay, U.E. Confalonieri, J.A. Patz, Climate change and vector- borne disease: a regional analysis. Bulletin of the World Health Organization. 78, 9 (2000) [Google Scholar]
- D.A. Focks, R. J. Brenner, J. Hayes, E. Daniels, Transmission thresholds for dengue in terms of Aedes aegypti pupae per person with discussion of their utility in source reduction efforts. The American Journal of Tropical Medicine and Hygiene. 62, 1 (2000). https://doi.org/10.4269/ajtmh.2000.62.11 [CrossRef] [PubMed] [Google Scholar]
- F. Fouque, R. Carinci, P. Gaborit, J. Issaly, D.J. Bicout, P. Sabatier, Aedes aegypti survival and dengue transmission patterns in French Guiana. Journal of Vector Ecology. 31, 2 (2006). https://doi.org/10.3376/1081-1710(2006)31[390:aasadt]2.0.co;2 [CrossRef] [PubMed] [Google Scholar]
- W. Tun-Lin, T.R. Burkot, B.H. Kay, Effects of temperature and larval diet on development rates and survival of the dengue vector Aedes aegypti in north Queensland, Australia. Medical and Veterinary Entomology. 14, 1 (2001). https://doi.org/10.1046/j.1365-2915.2000.00207.x [Google Scholar]
- D.M. Watts, D.S. Burke, B.A. Harrison, et al. Effect of temperature on the vector efficiency of Aedes aegypti for dengue 2 virus. The American Journal of Tropical Medicine and Hygiene. 36, 1 (1987). https://doi.org/10.4269/ajtmh.1987.36.143 [CrossRef] [PubMed] [Google Scholar]
- G.F. Sihombing, I. Marsaulina, T. Ashar. Hubungan curah hujan, suhu udara, kelembaban udara, kepadatan penduduk dan luas lahan pemukiman dengan kejadian demam berdarah dengue di kota malang periode tahun 2002-2011. Lingkungan dan Keselamatan Kerja, 3 (2014). [Google Scholar]
- M.J.F. Putra, K.S. Lestari. Unsur-Unsur Iklim yang Berhubungan dengan Incidence Rate Demam Berdarah Dengue di Kabupaten Malang Tahun 2011-2020. Media Gizi Kesmas, 12 (2023). https://doi.org/10.20473/mgk.v12i1.2023.219-227 [Google Scholar]
- S. Nurrochmah, S. Katmawanti, Z. Zuraiya. The relation between socio-demographic and environment to Dengue Fever (DHF) case in Malang. Enfermería Clínica. 30, 6 (2020). https://doi.org/10.1016/j.enfcli.2020.06.026 [Google Scholar]
- S. Masluhiyah, Irma. Epidemiological analysis of trends in DHF cases in Malang City. Jurnal Farmasi Sains dan Praktis. 7, 3 (2021). https://doi.org/10.31603/pharmacy.v7i3.6146 [Google Scholar]
- F. I. Abdulsalam, P. Antunez, W. Jawjit. Spatio-temporal dengue risk modelling in the south of Thailand: a Bayesian approach to dengue vulnerability. PeerJ. 11, e15619 (2023). https://doi.org/10.7717/peerj.15619 [CrossRef] [Google Scholar]
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