Spatial analysis to evaluate risk of malaria in Northern Sumatera, Indonesia
| dc.contributor.author | Fahmi, Fahmi | |
| dc.contributor.author | Pasaribu, Ayodhia Pitaloka | |
| dc.contributor.author | Theodora, Minerva | |
| dc.contributor.author | Wangdi, Kinley | |
| dc.date.accessioned | 2023-11-28T23:28:42Z | |
| dc.date.available | 2023-11-28T23:28:42Z | |
| dc.date.issued | 2022-08-20 | |
| dc.date.updated | 2022-08-21T10:05:48Z | |
| dc.description.abstract | Background: As Indonesia aims for malaria elimination by 2030, provisional malaria epidemiology and risk factors evaluation are important in pursue of this national goal. Therefore, this study aimed to understand the risk factor of malaria in Northern Sumatera. Methods: Malaria cases from 2019 to 2020 were obtained from the Indonesian Ministry of Health Electronic Database. Climatic variables were provided by the Center for Meteorology and Geophysics Medan branch ofce. Multivariable logistic regression was undertaken to understand the risk factors of imported malaria. A zero-infated Poisson multivariable regression model was used to study the climatic drivers of indigenous malaria. Results: A total of 2208 (indigenous: 76.0% [1679] and imported: 17.8% [392]) were reported during the study period. Risk factors of imported malaria were: ages 19–30 (adjusted odds ratio [AOR]=3.31; 95% confdence interval [CI] 1.67, 2.56), 31–45 (AOR=5.69; 95% CI 2.65, 12.20), and>45 years (AOR=5.11; 95% CI 2.41, 10.84). Military personnel and forest workers and miners were 1,154 times (AOR=197.03; 95% CI 145.93, 9,131.56) and 44 times (AOR=44.16; 95% CI 4.08, 477,93) more likely to be imported cases as compared to those working as employees and traders. Indigenous Plasmodium falciparum increased by 12.1% (95% CrI 5.1%, 20.1%) for 1% increase in relative humidity and by 21.0% (95% CrI 9.0%, 36.2%) for 1 °C increase in maximum temperature. Plasmodium vivax decreased by 0.8% (95% CrI 0.2%, 1.3%) and 16.7% (95% CrI 13.7%, 19.9%) for one meter and 1 °C increase of altitude and minimum temperature. Indigenous hotspot was reported by Kota Tanjung Balai city and Asahan regency, respectively. Imported malaria hotspots were reported in Batu Bara, Kota Tebing Tinggi, Serdang Bedagai and Simalungun. Conclusion: Both indigenous and imported malaria is limited to a few regencies and cities in Northern Sumatera. The control measures should focus on these risk factors to achieve elimination in Indonesia | en_AU |
| dc.description.sponsorship | This project was supported under World Class Research Programme 2021, designated scheme from Universitas Sumatera Utara, Ministry of Education, Culture, Research and Technology, Indonesia. The content of this study is solely the responsibility of the authors and does not necessarily represent the offcial views of the funding agencies. KW is funded by Australian National Health and Medical Research Council 2021 Investigator Grant (2008697). | en_AU |
| dc.format.mimetype | application/pdf | en_AU |
| dc.identifier.issn | 1475-2875 | en_AU |
| dc.identifier.uri | http://hdl.handle.net/1885/307506 | |
| dc.language.iso | en_AU | en_AU |
| dc.provenance | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. | en_AU |
| dc.publisher | BioMed Central | en_AU |
| dc.relation | http://purl.org/au-research/grants/nhmrc/GNT2008697 | en_AU |
| dc.rights | © The Author(s) 2022. | en_AU |
| dc.rights.license | Creative Commons Attribution License | en_AU |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_AU |
| dc.source | Malaria Journal | en_AU |
| dc.subject | Bayesian analysis | en_AU |
| dc.subject | Elimination | en_AU |
| dc.subject | Indigenous | en_AU |
| dc.subject | Indonesia | en_AU |
| dc.subject | Imported | en_AU |
| dc.subject | Malaria | en_AU |
| dc.subject | Northern Sumatera | en_AU |
| dc.subject | Spatial analysis | en_AU |
| dc.title | Spatial analysis to evaluate risk of malaria in Northern Sumatera, Indonesia | en_AU |
| dc.type | Journal article | en_AU |
| dcterms.accessRights | Open Access | en_AU |
| local.bibliographicCitation.issue | 1 | en_AU |
| local.bibliographicCitation.lastpage | 14 | en_AU |
| local.bibliographicCitation.startpage | 1 | en_AU |
| local.contributor.affiliation | Wangdi, Kinley, Department of Global Health, National Centre for Epidemiology and Population Health, College of Health and Medicine, The Australian National University | en_AU |
| local.description.notes | Imported from Springer Nature | en_AU |
| local.identifier.citationvolume | 21 | en_AU |
| local.identifier.doi | 10.1186/s12936-022-04262-y | en_AU |
| local.publisher.url | https://malariajournal.biomedcentral.com/ | en_AU |
| local.type.status | Published Version | en_AU |
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