Sains Malaysiana 49(7)(2020): 1627-1638

http://dx.doi.org/10.17576/jsm-2020-4907-14

 

Spatial Analysis of Food and Waterborne Diseases in Sabah, Malaysia

(Analisis Reruang bagi Penyakit Bawaan Makanan dan Air di Sabah, Malaysia)

 

SYED SHARIZMAN SYED ABDUL RAHIM1*, SHAMSUL AZHAR SHAH2, SHAHARUDIN IDRUS3, ZAHIR IZUAN AZHAR4, MOHD ROHAIZAT HASSAN2 & NAZARUDIN SAFIAN2

 

1Department of Community and Family Medicine, Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia

 

2Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, 56000 Bandar Tun Razak, Cheras, Kuala Lumpur, Wilayah Persekutuan, Malaysia

 

3Institute for Environmental and Development, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor Darul Ehsan, Malaysia

 

4Department of Population Health and Preventive Medicine, Faculty of Medicine, Universiti Teknologi MARA (UiTM), 47000 Sungai Buloh, Selangor Darul Ehsan, Malaysia

 

Received: 15 February 2019/Accepted: 6 March 2020

 

ABSTRACT

Food and waterborne disease (FWBD) epidemic can produce devastating public health outcomes. From 1990 to 2006, the annual notifications for FWBDs in Malaysia ranged from 2,000 to about 10,000 cases. The purpose of this study was to describe the spatial epidemiology of FWBDs in four districts of Sabah from the year 2011 to 2014. This study was a retrospective review of four years (i.e. 2011 to 2014) worth of data from Kota Kinabalu, Penampang, Putatan, and Papar districts. All reported cases of cholera, dysentery, food poisoning, typhoid, and viral hepatitis A from these areas and district health offices were included. Coordinates for the locations of the cases were based on home addresses. Among a total of 1997 cases of FWBDs, food poisoning was the highest reported disease with 1787 (89.4%) cases. Kota Kinabalu had the most reported cases of FWBDs with 1368 (68.5%). In the year 2012, FWBD incidence was the highest at 16.44 per 10,000 populations. Kernel density estimation demonstrated hot spots of food poisoning and cholera in the western areas near the coast, while typhoid and viral hepatitis A cases had minimal hot spots and appeared to be dispersed. Average nearest neighbour analysis showed clusters of food poisoning and cholera cases. Further analysis with the nearest neighbour hierarchical spatial clustering presented 32 clusters of food poisoning and 7 clusters of cholera. Food poisoning and cholera usually occur in clusters. From these findings, it can be concluded that these areas, food poisoning, and cholera have significant spatial clustering and patterns. Meanwhile, other FWBDs did not occur in clusters for this study. This indicates the possibility of under-reporting or real dispersion of cases brought about by an efficient mechanism of spread from a common source.

Keywords: Cluster; foodborne; GIS; spatial analysis; waterborne

 

ABSTRAK

Epidemik penyakit bawaan makanan dan air (FWBD) boleh mengakibatkan masalah kesihatan awam. Dari tahun 1990 hingga 2006, dilaporkan bahawa bilangan kes tahunannya berada dalam lingkungan 2,000 hingga 10,000 kes. Tujuan kajian ini adalah untuk menghuraikan epidemilogi ruang bagi penyakit bawaan makanan dan air di empat buah daerah di Sabah dari tahun 2011 hingga 2014. Sorotan retrospektif ini melibatkan data selama 4 tahun (2011 hingga 2014) yang dikutip daripada Kota Kinabalu, Penampang, Putatan dan Papar, Sabah. Semua kes kolera, disentri, keracunan makanan, tifoid dan hepatitis A virus yang dilaporkan oleh pejabat kesihatan kawasan dan daerah dikaji. Koordinat bagi lokasi kes adalah berdasarkan alamat rumah. Daripada sejumlah 1,997 kes FWBD, keracunan makanan dilaporkan sebagai kes yang paling tinggi dengan 1,787 (89.4%) kes. Kota Kinabalu merekodkan bilangan kes yang paling tinggi, iaitu 1,368 (68.5%). Bilangan kes FWBD adalah paling tinggi pada tahun 2012 dengan catatan 16.44 per 10,000 populasi. Anggaran kepadatan Kernel menunjukkan bahawa kawasan yang mencatatkan kes keracunan makanan dan kolera tertinggi adalah di bahagian barat berhampiran pantai. Kes-kes tifoid dan hepatitis A virus tidak banyak dilaporkan di kebanyakan kawasan dan kelihatan berselerak. Analisis jiran terdekat purata menunjukkan kelompok bagi kes-kes keracunan makanan dan kolera sahaja. Analisis lanjut melalui pengkelompokan ruang hierarki jiran terdekat menunjukkan 32 kelompok bagi kes keracunan makanan dan 7 kelompok bagi kes kolera. Keracunan makanan dan kolera biasanya berlaku secara berkelompok. Keputusan daripada kajian ini menunjukkan kes keracunan makanan dan kolera mempunyai ciri-ciri kelompok dan corak reruang yang signifikan. Sementara itu, penyakit bawaan makanan dan air lain bagi kajian ini tidak berlaku secara berkelompok. Ini mungkin disebabkan terdapat kes yang tidak dilaporkan atau kes berselerak sahih berlaku dan merebak dengan cepat berasal daripada punca yang sama.

Kata kunci: Analisis ruang; bawaan air; bawaan makanan; GIS; kelompok

 

REFERENCES

Abdul Rauf Abdul Rasam & Abdul Malek Mohd Noor 2012. Contribution of GIS and remote sensing technologies for managing foodborne diseases in Malaysia. IEEE Control and System Graduate Research Colloqiuium. pp. 258-261.

Abdul Rauf Abdul Rasam, Abdul Malek Mohd Noor, Norazah Ahmad & Rosmadi Ghazali. 2011. MyGeoHealth: GIS-based cholera transmission risk system in Sabah, Malaysia. IEEE 7th International Colloquium on Signal Processing and its Applications. pp. 474-479.

Alhoot, M.A., Tong, W.T., Low, W.L. & Sekaran, S.D. 2016. Climate change and health: The Malaysia scenario. In Climate Change and Human Health Scenario in South and Southeast Asia. Advances in Asian Human-Environmental Research, edited by Akhtar R. Springer, Cham. pp. 243-268.

Ali, M., Goovaerts, P., Nazia, N., Haq, M.Z., Yunus, M. & Emch, M. 2006. Application of poisson kriging to the mapping of cholera and dysentery incidence in an endemic area of Bangladesh. International Journal of Health Geographics 5(1): 45.

Anselin, L., Cohen, J., Cook, D., Gorr, W. & Tita, G. 2000. Spatial analyses of crime. Criminal Justice 4: 213-262.

Asao, T., Kumeda, Y., Kawai, T., Shibata, T., Oda, H., Haruki, K., Nakazawa, H. & Kozaki, S. 2003. An extensive outbreak of staphylococcal food poisoning due to low-fat milk in Japan: Estimation of enterotoxin A in the incriminated milk and powdered skim milk. Epidemiology and Infection 130(1): 33-40.

Carrel, M., Emch, M., Streatfield, P.K. & Yunus, M. 2009. Spatio-temporal clustering of cholera: The impact of flood control in matlab, Bangladesh, 1983-2003. Health & Place 15(3): 741-752.

Dewan, A.M., Corner, R., Hashizume, M. & Ongee, E.T. 2013. Typhoid fever and its association with environmental factors in the Dhaka metropolitan area of Bangladesh: A spatial and time-series approach. PLoS Neglected Tropical Diseases 7(1): 12-15.

Ding, G., Zhang, Y., Gao, L., Ma, W., Li, X., Liu, J., Liu, Q. & Jiang, B. 2013. Quantitative analysis of burden of infectious diarrhea associated with floods in Northwest of Anhui province, China: A mixed method evaluation. PloS ONE 8(6): e65112.

DOSM. 2020. Department of Statistics Malaysia Official Portal. https://www.dosm.gov.my/v1/index.php?r=column/cone&menu_id=dTZ0K2o4YXgrSDRtaEJyVmZ1R2h5dz09.

Esri. 2013. ArcGIS Help 10.1 - Resource Center. http://resources.arcgis.com/en/help/main/10.1/index.html#/Welcome_to_the_ArcGIS_Help_Library/00qn0000001p000000/.

Gurpreet, K., Tee, G.H., Amal, N.M., Paramesarvathy, R. & Karuthan, C. 2011. Incidence and determinants of acute diarrhoea in Malaysia: A population-based study. Journal of Health, Population and Nutrition 29(2): 103-112.

Hart, A., McCulloch, B., Harper, C., Gardiner, N., Rutherford, S., Baker, P. & O’Sullivan, D. 2005. Report on GIS and Public Health Spatial Applications. Brisbane: Queensland Health.

Kanungo, S., Sur, D., Ali, M., You, Y.A., Pal, D., Manna, B., Niyogi, S.K., Sarkar, B., Bhattacharya, S.K., Clemens, J.D. & Nair, G.B. 2012. Clinical, epidemiological and spatial characteristics of Vibrio parahaemolyticus diarrhea and cholera in the urban slums of Kolkata, India. BMC Public Health 12(1): 830.

Kazembe, L.N., Muula, A.S. & Simoonga, C. 2009. Joint spatial modelling of common morbidities of childhood fever and diarrhoea in Malawi. Health & Place 15(1): 165-172.

Kistemann, T., Dangendorf, F., Krizek, L., Sahl, H.G., Engelhart, S. & Exner, M. 2000. GIS-supported investigation of a nosocomial Salmonella outbreak. International Journal of Hygiene and Environmental Health 203(2): 117-126.

Li, Z.J., Zhang, X.J., Hou, X.X., Xu, S., Zhang, J.S., Song, H.B. & Lin, H.L. 2015. Nonlinear and threshold of the association between meteorological factors and bacillary dysentery in Beijing, China. Epidemiology and Infection 143(16): 3510-3519.

Ministry of Health. 2006. Garis Panduan Pengurusan Wabak Kolera. 2nd ed. Putrajaya: Ministry of Health.

Nazarudin, S., Shah, S.A., Idrus, S. & Hamzah, W.M. 2008. Cluster analysis of typhoid cases in Kota Bharu, Kelantan, Malaysia. Medical Journal of Indonesia 17(3): 175-182.

Newell, D.G., Koopmans, M., Verhoef, L., Duizer, E., Aidara-Kane, A., Sprong, H., Opsteegh, M., Langelar, M., Threfall, J., Scheutz, F., Giessen, J.V.D. & Kruse, H. 2010. Food-borne diseases - the challenges of 20 years ago still persist while new ones continue to emerge. International Journal of Food Microbiology 139(2010): S3-S15.

Pandey, P.K., Kass, P.H., Soupir, M.L., Biswas, S. & Singh, V.P. 2014. Contamination of water resources by pathogenic bacteria. AMB Express 4(1): 51.

Pardhan-Ali, A., Berke, O., Wilson, J., Edge, V.L., Furgal, C., Reid-Smith, R., Santos, M. & McEwen, S.A. 2012. A spatial and temporal analysis of notifiable gastrointestinal illness in the Northwest territories, Canada, 1991-2008. International Journal of Health Geographics 11(1): 17.

Prevost, B., Lucas, F.S., Goncalves, A., Richard, F., Moulin, L. & Wurtzer, S. 2015. Large scale survey of enteric viruses in river and waste water underlines the health status of the local population. Environment International 79: 42-50.

Soon, J.M., Singh, H. & Baines, R. 2011. Foodborne diseases in Malaysia: A review. Food Control 22(6): 823-830.

Sowmyanarayanan, T.V., Mukhopadhya, A., Gladstone, B.P., Sarkar, R. & Kang, G. 2008. Investigation of a hepatitis A outbreak in children in an urban slum in Vellore, Tamil Nadu, using Geographic Information Systems. Indian Journal of Medical Research 128(1): 32-37.

Tam, C.C. 2008. Fortune and foreigners: Toward an epidemiology of food (borne illness). Epidemiology 19(2): 291-293.

Tang, F., Cheng, Y., Bao, C., Hu, J., Liu, W., Liang, Q., Wu, Y., Norris, J., Peng, Z., Yu, R., Shen, H. & Chen, F. 2014. Spatio-temporal trends and risk factors for Shigella from 2001 to 2011 in Jiangsu Province, People’s Republic of China. PloS ONE 9(1): e83487.

Xu, M., Cao, C.X., Wang, D.C., Kan, B., Xu, Y.F., Ni, X.L. & Zhu, Z.C. 2016. Environmental factor analysis of cholera in China using remote sensing and geographical information systems. Epidemiology and Infection 144(5): 940-951.

Zuckerman, J.N., Rombo, L. & Fisch, A. 2007. The true burden and risk of cholera: Implications for prevention and control. The Lancet Infectious Diseases 7(8): 521-530.

 

 

 

*Corresponding author; email: syedsharizman@gmail.com

 

 

 

 

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