SPATIO-TEMPORAL DISTRIBUTION OF MALARIA IN BETONG, SARAWAK, MALAYSIA: A FIVE YEARS STUDY

Mohd Jawahir Ahmad Ramli, Nazri Che Dom, Razi Ikhwan Md Rashid, Mohd Hatta Mutalip, Mohd Hazrin Hashim

Abstract


The emergence of malaria has become one of the major public health problems in Betong, Sarawak, Malaysia. The number of reported malaria cases are increasing continuously in recent years. The aim of this study was to analyse the spatio-temporal pattern based on the yearly malaria surveillance data. Descriptive analysis was done to investigate the malaria incidence by time, person and place. Further analysis was done by mapping all malaria cases reported from year 2013 to 2017 by using ArcGIS software. Distribution of malaria cases were mapped in term of crude incidence. The average nearest neighbour was used to determine the distance analysis between malaria cases while Kernel density was applied to detect spatial pattern of locality for malaria hotspots. Distribution of malaria cases was clustered and random based on distance analysis. Based on spatio-temporal analysis pattern, malaria cases were identified as clusters in Betong and Spaoh subdistricts. It was observed that high risk occurrence of malaria cases were reported in the months of July to October each year. All the socio-demographic variables were associated with the malaria infection. After adjusting the relationship of all potential predictors at P<0.05, potential predictors such as gender, ethnicity (excluding the Malays) and occupation had significant association with the malaria infection. Spatial mapping could be beneficial to visualize the distribution of malaria cases for public health prevention.


Full Text:

PDF

References


Alias, H., Surin, J., Mahmud, R., Shafie, A., Zin, J.M. & Nor, M.M. 2014. Spatial distribution of malaria in Peninsular Malaysia from 2000 to 2009 Spatial distribution of malaria in Peninsular Malaysia from 2000 to 2009. Parasites & Vectors 7(1): 1–7.

Aziz, S., Ngui, R., Lim, Y.A.L., Sholehah, I., Nur Farhana, J., Azizan, A.S. & Wan Yusoff, W.S. 2012. Spatial pattern of 2009 dengue distribution in Kuala Lumpur using GIS application. Tropical Biomedicine 29(1): 113–120.

Barber, B.E., William, T., Grigg, M.J., Menon, J., Auburn, S., Marfurt, J., Anstey N.M. & Yeo, T.W. 2013. A prospective comparative study of knowlesi, falciparum, and vivax malaria in Sabah, Malaysia: High proportion with severe disease from Plasmodium knowlesi and Plasmodium vivax but no mortality with early referral and artesunate therapy. Clinical Infectious Diseases 56(3): 383–397.

Fornace, K.M., Abidin, T.R., Alexander, N., Brock, P., Grigg, M.J., Murphy, A., William, T., Menon, T., Drakeley, C.J. & Cox, J. 2016. Association between landscape factors and spatial pattern of Plasmodium knowlesi infections in Sabah, Malaysia. Emerging Infectious Disease 22(2): 201-8. 208.

Grigg, M.J., Cox, J., William, T., Jelip, J., Fornace, K.M., Brock, P.M., Von, S.L., Barber, B.E., Anstey, N.M., Yeo, T.W. & Drakeley, C.J. 2017. Individual-level factors associated with the risk of acquiring human Plasmodium knowlesi Malaria in Malaysia: A case-control study. The Lancet Planetary Health 1(3): e97–104.

Hasim, H., Hiong, T.G., Hatta, M., Amierul, F.M., Aliza, L., Yoep, N. & Paiwai, F. 2018. Spatial density of dengue incidence : A case study of a dengue outbreak in Seksyen 7 , Shah Alam. International Journal of Mosquito Research 5(2): 9-14.

Hazrin, M., Hiong, T.G., Jai, N., Yeop, N., Hatta, M., Paiwai, F. & Othman, W. 2016. Spatial distribution of dengue incidence: A case study in Putrajaya. Journal of Geographic Information System 8(1): 89–97.

Herdiana, H., Cotter, C., Coutrier, F.N., Zarlinda, I., Zelman, B.W., Tirta, Y.K. & Hsiang, M.S. 2016. Malaria risk factor assessment using active and passive surveillance data from aceh besar, Indonesia, a low endemic, malaria elimination setting with Plasmodium knowlesi, Plasmodium vivax and Plasmodium falciparum. Malaria Journal 15(1): 468.

Indicator for Monitoring and Evaluation of Strategy Health for All. 2014. Malaysia Health Indicator. Ministry of Health.

Kesetyaningsih, T.W., Andarini, S., Sudarto & Pramoedyo, H. 2018. Determination of environmental factors affecting dengue incidence in Sleman District, Yogyakarta, Indonesia. African Journal of Infectious Diseases 12 (Special Issue 1): 13–25.

Masnita, M.Y., Nazri, C.D. & Ariza, Z. 2016. Spatial pattern distribution of dengue fever in sub-urban area using GIS tools. Serangga 21(2): 127-148.

Maude, R.J., Nguon, C., Ly, P., Bunkea, T., Ngor, P., Canavati De La Torre, S.E. & Chuor, C.M. 2014. Spatial and temporal epidemiology of clinical malaria in Cambodia 2004-2013. Malaria Journal 13(1): 1–15.

Ministry of Health (MOH). (2011). Annual Report Putrajaya. Ministry of Health. Putrajaya: Bahagian Perancangan Dan Pembangunan, Kementerian Kesihatan, Malaysia.

Ministry of Health (MOH). (2017). Annual Report Sarawak. Ministry of Health. Putrajaya: Bahagian Perancangan Dan Pembangunan, Kementerian Kesihatan, Malaysia.

Pahrol, M.A., Noraishah, M.S. & Nasir, R.A. 2018. Spatial Distribution of malaria incidence in Sabah from 2012 to 2016. Geoinformatics & Geostatistics: An Overview 6: 3.

Qayum, A., Arya, R., Kumar, P. & Lynn, A.M. 2015. Socio-Economic, epidemiological and geographic features based on GIS-Integrated Mapping to identify malarial hotspots. Malaria Journal 14(1):192.

Reuben, R. 1993. Women and malaria - Special risks and appropriate control strategy. Social Science and Medicine 37(4): 473-480.

Rosli, M.H., Er, A.C., Asmahani, A., Mohammad Naim, M.R. & Harsuzilawati, M. 2010. Spatial mapping of dengue incident: A case study in Hulu Langat District, Selangor, Malaysia. International Journal of Human and Social Sciences 4(7): 251–55.

Samat, N.A. & Mey, L.W. 2017. Malaria disease mapping in Malaysia based on Besag-York-Mollie (BYM) Model. Journal of Physics: Conference Series 890(1): 012167.

Saripah, B., Nor Aizam, A. & Ummu Syaira Ain, R. 2019. Temporal geospatial assesment of coco pollinator, forcupomyia in cocoa plantaion area. Serangga 24(1): 159-172.

Saxena, R., Nagpal, B.N., Srivastava, A., Gupta, S.K., & Dash, A.P. 2009. Application of spatial technology in malaria research & control: Some new insights. The Indian Journal of Medical Research 130: 125–132.

Vythilingam, I., Lim, Y.A.L., Venugopalan, B., Ngui, R., Leong, C.S., Wong, M.L. & Mahmud, R. 2014. Plasmodium knowlesi malaria an emerging public health problem in Hulu Selangor, Selangor, Malaysia (2009-2013): Epidemiologic and entomologic analysis. Parasites & Vectors 7(1): 436.

Wen, L., Li, C., Lin, M., Yuan, Z., Huo, D., Li, S. & Song, H. 2011. Spatio-temporal analysis of malaria incidence at the village level in malaria-endemic area in Hainan, China. Malaria Journal 10: 88.

World Health Organization (WHO). 2017. World Malaria Report 2017. World Malaria Report. Luxembourg: World Health Organization.

World Health Organization (WHO). 2018. World Malaria Report 2018. World Malaria Report. Luxembourg: World Health Organization.

Wibowo, Y., Laksana, A.S.D., Mulyanto, J., Wicaksono, M.A. & Purnomo, A.Y. 2015. Incidence of malaria is clustered and buffers around plantations: A spatial analysis. Universa Medicina 34(2): 138–148.

William, T., Rahman, H.A., Jelip, J., Ibrahim, M.Y., Menon, J., Grigg, M.J. & Li, Z.-F. 2012. Spatial-temporal analysis of malaria and the effect of environmental factors on its incidence in Yongcheng, China, 2006–2010. BMC Public Health 12(1): 544.

Xia, J., Cai, S., Zhang, H., Lin, W., Fan, Y., Qiu, J. & Nie, S. 2015. Spatial, temporal, and spatiotemporal analysis of malaria in Hubei Province, China from 2004-2011. Malaria Journal 14: 145.

Yoep, N., Hasim, H., Yusoff, U.N., Yusoff, M. & Mahpot, N.R. 2014. Spatio-temporal distribution of malaria in Perak, Malaysia. BMJ Open 4(8): 154–161.


Refbacks

  • There are currently no refbacks.