Incidence of malaria is clustered and buffers around plantations: a spatial analysis
Background Malaria is re-emerging because of imported cases and the presence of potential vectors that can transmit and spread malaria. Malaria is a health problem in Banyumas District. Mapping the spread of infectious diseases is epidemiologically important. The purpose of this study was to determi...
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| Format: | Article |
| Language: | English |
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Faculty of Medicine Trisakti University
2015-12-01
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| Series: | Universa Medicina |
| Subjects: | |
| Online Access: | https://univmed.org/ejurnal/index.php/medicina/article/view/29 |
| _version_ | 1818283648963575808 |
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| author | Yudhi Wibowo Agung Saprasetya Dwi Laksana Joko Mulyanto Madya Ardi Wicaksono Agus Y Purnomo |
| author_facet | Yudhi Wibowo Agung Saprasetya Dwi Laksana Joko Mulyanto Madya Ardi Wicaksono Agus Y Purnomo |
| author_sort | Yudhi Wibowo |
| collection | DOAJ |
| description | Background
Malaria is re-emerging because of imported cases and the presence of potential vectors that can transmit and spread malaria. Malaria is a health problem in Banyumas District. Mapping the spread of infectious diseases is epidemiologically important. The purpose of this study was to determine the relationship between the variables and the epidemiology of malaria that were spatially modeled using the geographic information system (GIS).
Methods
This was a case-control study with ratio of 1:1. Cases were malaria-positive patients and controls were people without malaria, as diagnosed by microscopic examination. Minimum sample size was 139 per group and total sample size was 282 people. Chi-square was used to test the relationship between the variables, and GIS modeling to determine the spatial distribution of malaria cases.
Results
There were significant relationships between level of income below minimum wage, not using mosquito nets, not using wire netting, not using insect repellents, habit of going out at night, history of malaria, cattle sheds not located between woods and residential area, history of going to endemic areas, residence at distances <1000 m from plantations, bushes, swamps and puddles, with incidence of confirmed malaria (p<0.001). The group of cases living <1000 meters from plantations numbered 141 (100%).
Conclusions
Malaria incidence is clustered and buffers around plantations at <1000 m. Malaria hot spots are displayed as risk maps that are useful for monitoring and spatial targeting of prevention and control measures against the disease. |
| first_indexed | 2024-12-13T00:40:15Z |
| format | Article |
| id | doaj.art-69589231a0ed4ab8ade01161592f5035 |
| institution | Directory Open Access Journal |
| issn | 1907-3062 2407-2230 |
| language | English |
| last_indexed | 2024-12-13T00:40:15Z |
| publishDate | 2015-12-01 |
| publisher | Faculty of Medicine Trisakti University |
| record_format | Article |
| series | Universa Medicina |
| spelling | doaj.art-69589231a0ed4ab8ade01161592f50352022-12-22T00:05:09ZengFaculty of Medicine Trisakti UniversityUniversa Medicina1907-30622407-22302015-12-0134213814810.18051/UnivMed.2015.v34.138-14828Incidence of malaria is clustered and buffers around plantations: a spatial analysisYudhi Wibowo0Agung Saprasetya Dwi Laksana1Joko Mulyanto2Madya Ardi Wicaksono3Agus Y Purnomo4Jenderal Soedirman UniversityJenderal soedirman UniversityJenderal Soedirman UniversityJenderal Soedirman universityJenderal Soedirman UniversityBackground Malaria is re-emerging because of imported cases and the presence of potential vectors that can transmit and spread malaria. Malaria is a health problem in Banyumas District. Mapping the spread of infectious diseases is epidemiologically important. The purpose of this study was to determine the relationship between the variables and the epidemiology of malaria that were spatially modeled using the geographic information system (GIS). Methods This was a case-control study with ratio of 1:1. Cases were malaria-positive patients and controls were people without malaria, as diagnosed by microscopic examination. Minimum sample size was 139 per group and total sample size was 282 people. Chi-square was used to test the relationship between the variables, and GIS modeling to determine the spatial distribution of malaria cases. Results There were significant relationships between level of income below minimum wage, not using mosquito nets, not using wire netting, not using insect repellents, habit of going out at night, history of malaria, cattle sheds not located between woods and residential area, history of going to endemic areas, residence at distances <1000 m from plantations, bushes, swamps and puddles, with incidence of confirmed malaria (p<0.001). The group of cases living <1000 meters from plantations numbered 141 (100%). Conclusions Malaria incidence is clustered and buffers around plantations at <1000 m. Malaria hot spots are displayed as risk maps that are useful for monitoring and spatial targeting of prevention and control measures against the disease.https://univmed.org/ejurnal/index.php/medicina/article/view/29risk factorsspatial analysismalaria incidence |
| spellingShingle | Yudhi Wibowo Agung Saprasetya Dwi Laksana Joko Mulyanto Madya Ardi Wicaksono Agus Y Purnomo Incidence of malaria is clustered and buffers around plantations: a spatial analysis Universa Medicina risk factors spatial analysis malaria incidence |
| title | Incidence of malaria is clustered and buffers around plantations: a spatial analysis |
| title_full | Incidence of malaria is clustered and buffers around plantations: a spatial analysis |
| title_fullStr | Incidence of malaria is clustered and buffers around plantations: a spatial analysis |
| title_full_unstemmed | Incidence of malaria is clustered and buffers around plantations: a spatial analysis |
| title_short | Incidence of malaria is clustered and buffers around plantations: a spatial analysis |
| title_sort | incidence of malaria is clustered and buffers around plantations a spatial analysis |
| topic | risk factors spatial analysis malaria incidence |
| url | https://univmed.org/ejurnal/index.php/medicina/article/view/29 |
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