Association of Flood Risk Patterns with Waterborne Bacterial Diseases in Malaysia

Author:

Shafii Nur Zahidah1ORCID,Saudi Ahmad Shakir Mohd1ORCID,Pang Jyh Chyang2ORCID,Abu Izuddin Fahmy3ORCID,Sapawe Norzahir4,Kamarudin Mohd Khairul Amri5ORCID,Mohamad Mohamad Haiqal Nizar4ORCID

Affiliation:

1. Center for Water Engineering Technology, Malaysia France Institute (MFI), Universiti Kuala Lumpur (UniKL), Bandar Baru Bangi 43650, Selangor, Malaysia

2. Clinical Laboratory Science Section, Institute of Medical Science Technology (MESTECH), Universiti Kuala Lumpur (UniKL), Kajang 43000, Selangor, Malaysia

3. Institute of Medical Science Technology (MESTECH), Universiti Kuala Lumpur (UniKL), Kajang 43000, Selangor, Malaysia

4. Malaysian Institute of Chemical and Bioengineering Technology (MICET), Universiti Kuala Lumpur (UniKL), Alor Gajah 78000, Malacca, Malaysia

5. Faculty of Applied Social Science, Universiti Sultan Zainal Abidin (UniSZA), Gong Badak Campus, Kuala Nerus 21300, Terengganu, Malaysia

Abstract

Flood risk has increased distressingly, and the incidence of waterborne diseases, such as diarrhoeal diseases from bacteria, has been reported to be high in flood-prone areas. This study aimed to evaluate the flood risk patterns and the plausible application of flow cytometry (FCM) as a method of assessment to understand the relationship between flooding and waterborne diseases in Malaysia. Thirty years of secondary hydrological data were analysed using chemometrics to determine the flood risk patterns. Water samples collected at Kuantan River were analysed using FCM for bacterial detection and live/dead discrimination. The water level variable had the strongest factor loading (0.98) and was selected for the Flood Risk Index (FRI) model, which revealed that 29.23% of the plotted data were high-risk, and 70.77% were moderate-risk. The viability pattern of live bacterial cells was more prominent during the monsoon season compared to the non-monsoon season. The live bacterial population concentration was significantly higher in the midstream (p < 0.05) during the monsoon season (p < 0.01). The flood risk patterns were successfully established based on the water level control limit. The viability of waterborne bacteria associated with the monsoon season was precisely determined using FCM. Effective flood risk management is mandatory to prevent outbreaks of waterborne diseases.

Funder

Malaysian Ministry of Higher Education

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Reference96 articles.

1. World Health Organization (WHO) (2022, February 17). Health Topics: Floods. Available online: https://www.who.int/health-topics/floods#tab=tab_1.

2. Centre for Research on the Epidemiology of Disasters (CRED), and United Nations Office for Disaster Risk Reduction (UNISDR) (2019, May 13). 2018 Review of Disaster Events. Available online: https://www.cred.be/2018-review-disaster-events.

3. Guha-Sapir, D., Hoyois, P., Wallemacq, P., and Below, R. (2019, March 10). Annual Disaster Statistical Review 2016: The Numbers and Trends. Available online: https://emdat.be/sites/default/files/adsr_2016.pdf.

4. Centre for Research on the Epidemiology of Disasters (CRED) (2022, November 21). 2021 Disasters in Numbers. Available online: https://cred.be/sites/default/files/2021_EMDAT_report.pdf.

5. Koenig, K.L., and Schultz, C.H. (2016). Koenig and Schultz’s Disaster Medicine: Comprehensive Principles and Practices, Cambridge University Press. [2nd ed.].

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