Implementation of geographical information systems for the study of diseases caused by vector-borne arboviruses in Southeast Asia: A review based on the publication record

Abstract

The spread of mosquito-borne diseases in Southeast Asia has dramatically increased in the latest decades. These infections include dengue, chikungunya and Japanese Encephalitis (JE), high-burden viruses sharing overlapping disease manifestation and vector distribution. The use of Geographical Information Systems (GIS) to monitor the dynamics of disease and vector distribution can assist in disease epidemic prediction and public health interventions, particularly in Southeast Asia where sustained high temperatures drive the epidemic spread of these mosquito-borne viruses. Due to lack of accurate data, the spatial and temporal dynamics of these mosquito-borne viral disease transmission countries are poorly understood, which has limited disease control effort. By following studies carried out on these three viruses across the region in a specific time period revealing general patterns of research activities and characteristics, this review finds the need to improve decision-support by disease mapping and management. The results presented, based on a publication search with respect to diseases due to arboviruses, specifically dengue, chikungunya and Japanese encephalitis, should improve opportunities for future studies on the implementation of GIS in the control of mosquito-borne viral diseases in Southeast Asia.

Geographical heterogeneity and socio-ecological risk profiles of dengue in Jakarta, Indonesia

“…Geographical information systems (GIS) and spatial statistics are commonly used in the public health field (Oliveira et al, 2013;Fletcher-Lartey and Caprarelli, 2016;Diptyanusa et al, 2020) to help map and profile disease characteristics including potentially related environmental and socioeconomic features. Several studies have used GIS and spatial analysis for mapping and understanding the geographic pattern of dengue cases at the national (Xu et al, 2019;Zambrano et al, 2019) and local level (e.g., district or city level) (Carvalho et al, 2017;Fuentes-Vallejo, 2017;Astuti et al, 2019).…”

Exploring community participation in vectorborne disease control in Southeast Asia: a scoping review protocol

“… 1 2 9 The discussion of VBDs often involved the vector-host-pathogen triad. Therefore, previous studies have tended to overemphasise the importance of biomedical studies, basic epidemiological studies and studies employing various techniques related to VBDs, 10–12 such as the importance of surveillance using geographical information system (GIS) information on VBDs 13 Other studies on emerging and re-emerging VBDs have emphasised on mathematical modelling and development of facilities for diagnosis of infectious disease. 14 15 While it was highlighted that studies undertaken so far have been reactive type, offering little solution for preventive aspects in a long-term perspective, the need to understand the eco-epidemiological approach has again returned to emphasising the habitats of reservoirs infection, microniche of arthropods or insect vectors, and the need to use advent tools like satellite remote sensing, GIS and mathematical modelling.…”

Spatial Analysis of Dengue Hemorrhagic Fever Incidents Distribution and Dengue Virus Detection in Tanjung Priok Sub-District, DKI Jakarta

“…Endemicity and outbreak can be analyzed using geographic information systems (GIS) as explained in previous research that there has been a shift in the spatial pattern of dengue fever (Diptyanusa et al, 2020;Palaniyandi et al, 2014). The transition from dengue fever from an urban disease to a suburban disease is thought to be caused by dynamic population movements (Masrani et al, 2022).…”