Spatial Analysis of Filariasis and Malaria Determinants as Neglected Tropical Diseases in Indonesia
- DOI
- 10.2991/978-2-38476-110-4_97How to use a DOI?
- Keywords
- Neglected Tropical Diseases; Filariasis; Malaria
- Abstract
Introduction: Neglected Tropical Diseases are found in tropical or subtropical areas. Neglected tropical diseases are infectious diseases that only affect people who have a low standard of living, are poor, do not have access to good sanitation, or who do not receive special attention such as other infectious diseases such as malaria, HIV, tuberculosis, etc. The causes of this disease vary, some are caused by bacteria, viruses, protozoa or worms. Examples of neglected tropical diseases in Indonesia are Malaria and Filariasis. The purpose of this study was to analysis spatial malaria and filariasis by region and to analyze the determinants of these diseases.
Methods: This research is a research with spatial analysis design using thematic map generated by ArcGIS 10.8 software by creating an overlay of dependent variables (Filariasis and Malaria) and independent variables. Official data is taken from the Indonesia Health Profile 2021. The graduate color map is constructed from layers of dependent variables classified into five classes using the Natural Breaks (Jenk) method. Class division for each independent variable aims to facilitate map reading, and can be used to assess program success. Graduated symbol map is built from independent variable layer with Manual method.
Results: The results of this study found that the prevalence of filariasis ranged from 0–1,055 per 1,000,000 population in 34 provinces, with an average of 75.7 per 1,000,000 population. In malaria mapping, the incidence of malaria ranges from 0.17–80.05 per 1,000 population in 34 provinces, with a mean of 0.14 per 1,000 population. The highest malaria cases were found in Papua, West Papua, and West Nusa Tenggara. Districts/cities that have implemented the Germas policy in 2021 are 232 districts/cities (45.1%).
Conclusion: From 5 determinants analyzed, the highest filariasis was found in areas with low STBM coverage, did not meet GERMAS targets, high poverty rates and did not meet adequate water coverage according to WHO standards. Population density has no effect on high disease rates, because the geographical area is still in the form of forests and fields, which has the potential to increase the development of disease vectors such as mosquitoes.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial 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 license and indicate if changes were made.
Cite this article
TY - CONF AU - Wahyu Indah Dewi Aurora AU - Ima Maria AU - Erny Kusdiyah AU - Armaidi Darmawan AU - Nuriyah AU - Deri Mulyadi PY - 2023 DA - 2023/11/07 TI - Spatial Analysis of Filariasis and Malaria Determinants as Neglected Tropical Diseases in Indonesia BT - Proceedings of the 4th Green Development International Conference (GDIC 2022) PB - Atlantis Press SP - 1010 EP - 1022 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-110-4_97 DO - 10.2991/978-2-38476-110-4_97 ID - Aurora2023 ER -