Displaying publications 1 - 20 of 118 in total

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  1. Abdelhaq M, Alsaqour R, Abdelhaq S
    PLoS One, 2015;10(5):e0120715.
    PMID: 25946001 DOI: 10.1371/journal.pone.0120715
    A mobile ad hoc network (MANET) is a set of mobile, decentralized, and self-organizing nodes that are used in special cases, such as in the military. MANET properties render the environment of this network vulnerable to different types of attacks, including black hole, wormhole and flooding-based attacks. Flooding-based attacks are one of the most dangerous attacks that aim to consume all network resources and thus paralyze the functionality of the whole network. Therefore, the objective of this paper is to investigate the capability of a danger theory-based artificial immune algorithm called the mobile dendritic cell algorithm (MDCA) to detect flooding-based attacks in MANETs. The MDCA applies the dendritic cell algorithm (DCA) to secure the MANET with additional improvements. The MDCA is tested and validated using Qualnet v7.1 simulation tool. This work also introduces a new simulation module for a flooding attack called the resource consumption attack (RCA) using Qualnet v7.1. The results highlight the high efficiency of the MDCA in detecting RCAs in MANETs.
    Matched MeSH terms: Floods*
  2. Baharuddin KA, Abdull Wahab SF, Nik Ab Rahman NH, Nik Mohamad NA, Tuan Kamauzaman TH, Md Noh AY, et al.
    Malays J Med Sci, 2015 Mar-Apr;22(2):1-7.
    PMID: 26023289
    Floods are considered an annual natural disaster in Kelantan. However, the record-setting flood of 2014 was a 'tsunami-like disaster'. Hospital Universiti Sains Malaysia was the only fully functioning hospital in the state and had to receive and manage cases from the hospitals and clinics throughout Kelantan. The experiences, challenges, and recommendations resulting from this disaster are highlighted from an emergency medicine perspective so that future disaster preparedness is truly a preparation. The history of how the health campus was constructed with the collaboration of Perunding Alam Bina and Perkins and Willis of Chicago is elaborated.
    Matched MeSH terms: Floods
  3. Mat Jan NA, Marsani MF, Thiruchelvam L, Zainal Abidin NB, Shabri A, Abdullah Sani SA
    Geospat Health, 2023 Nov 13;18(2).
    PMID: 37961980 DOI: 10.4081/gh.2023.1236
    The occurrence of floods has the potential to escalate the transmission of infectious diseases. To enhance our comprehension of the health impacts of flooding and facilitate effective planning for mitigation strategies, it is necessary to explore the flood risk management. The variability present in hydrological records is an important and neglecting non-stationary patterns in flood data can lead to significant biases in estimating flood quantiles. Consequently, adopting a non-stationary flood frequency analysis appears to be a suitable approach to challenge the assumption of independent and identically distributed observations in the sample. This research employed the generalized extreme value (GEV) distribution to examine annual maximum flood series. To estimate non-stationary models in the flood data, several statistical tests, including the TL-moment method was utilized on the data from ten stream-flow stations in Johor, Malaysia, which revealed that two stations, namely Kahang and Lenggor, exhibited non-stationary behaviour in their annual maximum streamflow. Two non-stationary models efficiently described the data series from these two specific stations, the control of which could reduce outbreak of infectious diseases when used for controlling the development measures of the hydraulic structures. Thus, the application of these models may help prevent biased prediction of flood occurrences leading to lower number of cases infected by disease.
    Matched MeSH terms: Floods*
  4. Venkatappa M, Sasaki N, Han P, Abe I
    Sci Total Environ, 2021 Nov 15;795:148829.
    PMID: 34252779 DOI: 10.1016/j.scitotenv.2021.148829
    While droughts and floods have intensified in recent years, only a handful of studies have assessed their impacts on croplands and production in Southeast Asia. Here, we used the Google Earth Engine to assess the droughts and floods and their impacts on croplands and crop production over 40 years from 1980 to 2019. Using the Palmer Drought Severity Index (PDSI) as the basis for determining the drought and flood levels, and crop damage levels, crop production loss in both the Monsoon Climate Region (MCR) and the Equatorial Climate Region (ECR) of Southeast Asia was assessed over 47,192 grid points with 10 × 10-kilometer resolution. We found that rainfed crops were severely affected by droughts in the MCR and floods in the ECR. About 9.42 million ha and 3.72 million ha of cropland was damaged by droughts and floods, respectively. We estimated a total loss of 20.64 million tons of crop production between 2015 and 2019. Rainfed crops in Thailand, Cambodia, and Myanmar were strongly affected by droughts, whereas Indonesia, the Philippines, and Malaysia were more affected by floods over the same period. Accordingly, four levels of policy interventions were prioritized by considering the geolocated crop damage levels.
    Matched MeSH terms: Floods*
  5. Badrul Hisham, A.S., Nor Azian Shaharom, C.M.D., Marzukhi, M.I., Norli, R., Fatimah, O., Kee, KF, et al.
    MyJurnal
    The state of Johore, Malaysia had been hit by the worst flood in the Malaysian modern history on the 19th December 2006 (first wave) and the 12th January 2007 (second wave) affecting all the eight districts. A total number of 157,018 and 155,368 Johore population had been displaced by the first and the second wave event respectively. The Johore State Health Department activated the Flood Action Plan which include mobilising medical teams to conduct daily clinical examinations on the flood victims and health teams to inspect flood relief centres, food premises and homes at flood-hit areas with regard to prevent and control communicable diseases. The spreadsheet format was used to collect data on diseases, injury and death throughout the Johore flood disaster period starting from the 19th December 2006 until 19th February 2007. Analyses showed that 19,670 flood victims (36.3%) had communicable diseases and 34,530 (67.0%) had non-communicable diseases. As for the communicable diseases and symptoms/syndromes related to communicable disease, 41.3% were acute respiratory infections (ARI) followed by 25.9% skin infections, 19.1% fever, 10.1% acute gastroenteritis (AGE) and 3.0% acute conjunctivitis. Other infectious diseases include 61 notifiable diseases (46 food poisoning, 14 dengue fever and one tuberculosis), 20 leptospirosis (with two deaths), 20 chicken pox and two melioidosis cases. The Batu Pahat district had the highest incidence for the majority of the communicable diseases because of the prolonged flooding period. No cholera, typhoid, malaria, measles or hand-foot-mouth disease (HFMD) cases were detected among the Johore flood victims. Trends of disease incidence follow the number of evacuees placed in the relief centres corresponding to respective wave. A total of 507 flood victims had physical injuries related to flood mostly due to fall onto wet floor at the relief centres. Fifteen deaths due to drowning were mainly caused by accidental fall into the flood water. The incidence of communicable diseases encountered had been appropriately anticipated and managed attributed to enhanced public health control programmes augmented by syndromic and laboratory surveillance on potentialy fatal infectious diseases. Equal emphasis should be given to the surveillance and control of chronic diseases.
    Matched MeSH terms: Floods
  6. Chen W, Li Y, Xue W, Shahabi H, Li S, Hong H, et al.
    Sci Total Environ, 2020 Jan 20;701:134979.
    PMID: 31733400 DOI: 10.1016/j.scitotenv.2019.134979
    Floods are one of the most devastating types of disasters that cause loss of lives and property worldwide each year. This study aimed to evaluate and compare the prediction capability of the naïve Bayes tree (NBTree), alternating decision tree (ADTree), and random forest (RF) methods for the spatial prediction of flood occurrence in the Quannan area, China. A flood inventory map with 363 flood locations was produced and partitioned into training and validation datasets through random selection with a ratio of 70/30. The spatial flood database was constructed using thirteen flood explanatory factors. The probability certainty factor (PCF) method was used to analyze the correlation between the factors and flood occurrences. Consequently, three flood susceptibility maps were produced using the NBTree, ADTree, and RF methods. Finally, the area under the curve (AUC) and statistical measures were used to validate the flood susceptibility models. The results indicated that the RF method is an efficient and reliable model in flood susceptibility assessment, with the highest AUC values, positive predictive rate, negative predictive rate, sensitivity, specificity, and accuracy for the training (0.951, 0.892, 0.941, 0.945, 0.886, and 0.915, respectively) and validation (0.925, 0.851, 0.938, 0.945, 0.835, and 0.890, respectively) datasets.
    Matched MeSH terms: Floods
  7. Azrul Ghazali, Sivadass Thiruchelvam, Kamal Nasharuddin Mustapha, Ahmad Kamal Kadir, Fatin Faiqa Norkhairi, Nora Yahya, et al.
    ASM Science Journal, 2018;11(2):117-123.
    MyJurnal
    Series of catastrophic floods that we have witnessed over the last decade in Malaysia have necessitated the adoption of reliable early warning system. Ultimate concern during any event of natural or manmade disaster would be information dissemination to lessen the disaster impact on lives and property. The Bertam Valley incident in the wee hours of 23rd October 2013 has been considered as the game changer of how we view the role of vulnerable communities in facing dam-related disasters. Empowerment of local communities has been considered as vital in disaster management, as they are often the first responders to disaster. Local Community-Based Early Warning System (CBEWS) is a smart mechanism operated by the communities. This study revolves around the actual implementation of such system in Cameron Highlands in the effort of increasing human resilience towards damrelated disasters. While establishing the system, the Bertam Valley community has received support from different individuals and organisations. It is paramount that the community develops and maintains close coordination and strong links with these stakeholders. The performance of early warning systems can be evaluated via key parameters such as timeliness, accuracy, reliability, user friendliness, flexibility, and costs & benefits.
    Matched MeSH terms: Floods
  8. Mohammad, Thamer Ahmad, Mohd. Razali Abdul Kadir, Megat Johari Megat Mohd. Noor, Ahmad Husaini Sulaiman
    MyJurnal
    Part of the Seremban flood mitigation project in the state of Negeri Sembilan, Malaysia is to mitigate
    the flood at Jalan Rasah. The mitigation is planned to be implemented in packages. Package I and Package II of River Anak Air Rasah are parts of the project work. In these packages, wider and deeper concrete sections for the river are constructed. The existing undersized culverts were replaced by bigger reinforced concrete box culverts. The size of the box culverts was based on 100-years average reoccurrence interval (ARI). One of these culverts intersected with a rail line connecting Singapore and Malaysia. Trenchless jacking technique was used to lay the box culvert. The total length of the box culvert jacked under the railway line is 33 m, whereas the total width of the twin box culvert is 7.8 m with a total height of 3 m. This was the first time that the trenchless jacking techniques were used for the urban flood mitigation purpose in Malaysia, and it is mainly used to minimise traffic disruption. This study reports the success of using jacking technique in the development of the flood mitigation program of DID in Negeri Sembilan. Among other things, it explains significant performance of the technique under local conditions and experiences gained towards the advancement of tunnelling and trenchless technology.
    Matched MeSH terms: Floods
  9. Allias Omar SM, Wan Ariffin WNH, Mohd Sidek L, Basri H, Moh Khambali MH, Ahmed AN
    Int J Environ Res Public Health, 2022 Dec 09;19(24).
    PMID: 36554413 DOI: 10.3390/ijerph192416530
    Extensive hydrological analysis is carried out to estimate floods for the Batu Dam, a hydropower dam located in the urban area upstream of Kuala Lumpur, Malaysia. The study demonstrates the operational state and reliability of the dam structure based on hydrologic assessment of the dam. The surrounding area is affected by heavy rainfall and climate change every year, which increases the probability of flooding and threatens a dense population downstream of the dam. This study evaluates the adequacy of dam spillways by considering the latest Probable Maximum Precipitation (PMP) and Probable Maximum Flood (PMF) values of the concerned dams. In this study, the PMP estimations are applied using comparison of both statistical method by Hershfield and National Hydraulic Research Institute of Malaysia (NAHRIM) Envelope Curve as input for PMF establishments. Since the PMF is derived from the PMP values, the highest design flood standard can be applied to any dam, ensuring inflow into the reservoirs and limiting the risk of dam structural failure. Hydrologic modeling using HEC-HMS provides PMF values for the Batu dam. Based on the results, Batu Dam is found to have 200.6 m3/s spillway discharge capacities. Under PMF conditions, the Batu dam will not face overtopping since the peak outflow of the reservoir level is still below the crest level of the dam.
    Matched MeSH terms: Floods*
  10. Oloruntade, A.J., Mohammad, T.A., Aimrun, W.
    MyJurnal
    Understanding rainfall trend can be a first step in the planning and management of water resources
    especially at the basin scale. In this study, standard tests are used to examine rainfall trends based on monthly, seasonal and mean annual series at the Niger-South Basin, Nigeria, between 1948 and 2008. Rainfall variability index showed that the decade 2000s was the driest (-2.1), while 1950s was the wettest (+0.8), with the decade 1980s being the driest in the second half of the last century, whereas the year 1983 was the driest throughout the series. Over the entire basin, rainfall variability was generally low, but higher intra-monthly than inter-annually. Annual rainfall was dominated by August, contributing about 15%, while December contributed the least (0.7%). On a seasonal scale, July-August-September (JJA) contributed over 40% of the annual rainfall, while rainfall was lowest during December-January-February (DJF) (4.5%). The entire basin displayed negative trends but only 15% indicated significant changes (α ‹ 0.1), while the magnitudes of change varied between -3.75 and -0.25 mm/yr. Similarly, only JJA exhibited insignificant upward trend, while the rest showed negative trends. About eight months of the year showed reducing trends, but only January trend was significant. Annual downward trend was generally observed in the series. The trend during 1948–1977 was negative, but it was positive for the 1978–2008 period. Hence, water resources management planning may require construction of water storage facilities to reduce summer flooding and prevent possible future water scarcity in the basin.
    Matched MeSH terms: Floods
  11. Akbari S, Mahmood SM, Ghaedi H, Al-Hajri S
    Polymers (Basel), 2019 Jun 14;11(6).
    PMID: 31207965 DOI: 10.3390/polym11061046
    Copolymers of acrylamide with the sodium salt of 2-acrylamido-2-methylpropane sulfonic acid-known as sulfonated polyacrylamide polymers-had been shown to produce very promising results in the enhancement of oil recovery, particularly in polymer flooding. The aim of this work is to develop an empirical model through the use of a design of experiments (DOE) approach for bulk viscosity of these copolymers as a function of polymer characteristics (i.e., sulfonation degree and molecular weight), oil reservoir conditions (i.e., temperature, formation brine salinity and hardness) and field operational variables (i.e., polymer concentration, shear rate and aging time). The data required for the non-linear regression analysis were generated from 120 planned experimental runs, which had used the Box-Behnken construct from the typical Response Surface Methodology (RSM) design. The data were collected during rheological experiments and the model that was constructed had been proven to be acceptable with the Adjusted R-Squared value of 0.9624. Apart from showing the polymer concentration as being the most important factor in the determination of polymer solution viscosity, the evaluation of the model terms as well as the Sobol sensitivity analysis had also shown a considerable interaction between the process parameters. As such, the proposed viscosity model can be suitably applied to the optimization of the polymer solution properties for the polymer flooding process and the prediction of the rheological data required for polymer flood simulators.
    Matched MeSH terms: Floods
  12. Thamer Ahmed Mohammed, Abdul Halim Ghazali, Al-Hassoun, Saleh
    MyJurnal
    Malaysia is a tropical country and it is subjected to flooding in both the urban and rural areas. Flood
    modelling can help to reduce the impacts of flood hazard by taking extra precautions. HEC-RAS model was used to predict the flood levels at selected reach of the Langat River with a total length of 34.4 km. The Langat River is located in the state of Selangor, Malaysia and it is subjected to regular flooding. The selected reach of the Langat River has insufficient data and a methodology was proposed to overcome this particular problem. Since complete floodplain data for the area are not available, the modelling therefore assumed vertical walls at the left and right banks of the Langat River and all the predicted flood levels above the banks were based on this assumption. The HECRAS model was calibrated and the values of Manning’s coefficients of roughness for the Langat River were found to range from 0.04 to 0.10. The discharge values were calculated for 5, 10, 25, 50, and 100 year return periods and the maximum predicted flood depth ranged from 2.1m to 7.8m. Meanwhile, the model output was verified using the historical record and the error between the recorded and predicted water levels was found to range from 3% to 15%.
    Matched MeSH terms: Floods
  13. Birkmann J, Jamshed A, McMillan JM, Feldmeyer D, Totin E, Solecki W, et al.
    Sci Total Environ, 2022 Jan 10;803:150065.
    PMID: 34525713 DOI: 10.1016/j.scitotenv.2021.150065
    Climate change is a severe global threat. Research on climate change and vulnerability to natural hazards has made significant progress over the last decades. Most of the research has been devoted to improving the quality of climate information and hazard data, including exposure to specific phenomena, such as flooding or sea-level rise. Less attention has been given to the assessment of vulnerability and embedded social, economic and historical conditions that foster vulnerability of societies. A number of global vulnerability assessments based on indicators have been developed over the past years. Yet an essential question remains how to validate those assessments at the global scale. This paper examines different options to validate global vulnerability assessments in terms of their internal and external validity, focusing on two global vulnerability indicator systems used in the WorldRiskIndex and the INFORM index. The paper reviews these global index systems as best practices and at the same time presents new analysis and global results that show linkages between the level of vulnerability and disaster outcomes. Both the review and new analysis support each other and help to communicate the validity and the uncertainty of vulnerability assessments. Next to statistical validation methods, we discuss the importance of the appropriate link between indicators, data and the indicandum. We found that mortality per hazard event from floods, drought and storms is 15 times higher for countries ranked as highly vulnerable compared to those classified as low vulnerable. These findings highlight the different starting points of countries in their move towards climate resilient development. Priority should be given not just to those regions that are likely to face more severe climate hazards in the future but also to those confronted with high vulnerability already.
    Matched MeSH terms: Floods
  14. Naing C, Reid SA, Aye SN, Htet NH, Ambu S
    PLoS One, 2019;14(5):e0217643.
    PMID: 31141558 DOI: 10.1371/journal.pone.0217643
    Leptospirosis is probably the most widespread zoonotic disease in the world especially in tropical countries. There has been an increase in individual studies, which assessed the frequency of leptospirosis in flood conditions. Some studies showed contact with floods was significantly associated with the occurrence of leptospirosis while other studies reported differently. The objective of this meta-analysis was to synthesize the evidence on the risk factors which are associated with human leptospirosis following flooding. We set up the inclusion criteria and searched for the original studies, addressing leptospirosis in human with related to flood in health-related electronic databases including PubMed, Embase, Ovid Medline, google scholar and Scopus sources. We used the terms 'leptospirosis', 'flood', 'risk factor' and terms from the categories were connected with "OR" within each category and by "AND" between categories. The initial search yielded 557 citations. After the title and abstract screening, 49 full-text papers were reviewed and a final of 18 observational studies met the pre-specified inclusion criteria. Overall, the pooled estimates of 14 studies showed that the contact with flooding was a significant factor for the occurrence of leptospirosis (pooled OR: 2.19, 95%CI: 1.48-3.24, I2:86%). On stratification, the strength of association was greater in the case-control studies (pooled OR: 4.01, 95%CI: 1.26-12.72, I2:82%) than other designs (pooled OR:1.77,95%CI:1.18-2.65, I2:87%). Three factors such as 'being male'(pooled OR:2.06, 95%CI:1.29-2.83), the exposure to livestock animals (pooled OR: 1.95, 95%CI:1.26-2.64), the lacerated wound (pooled OR:4.35, 95%CI:3.07-5.64) were the risk factors significantly associated with the incidence of leptospirosis following flooding in the absence of within-study heterogeneity (I2: 0%). We acknowledge study limitations such as publication bias and type 2 statistical errors. We recommended flood control and other environmental modifications that are expected to reduce the risk of leptospiral infection, and a multi-sectoral effort to this aspect would have long-term benefits.
    Matched MeSH terms: Floods*
  15. Ambu, Stephen
    MyJurnal
    Climate change is a product of human actions. The extreme events such as flash floods, droughts, heat waves, earthquakes, volcano eruptions and tsunamis seen in the world today are the result of indiscriminate human intrusion into the environment. Vulnerable countries and populations are the most affected by these climatic events. This places a burden on the resources of these countries. The Kyoto Protocol is a milestone in environmental management and the impetus created by it must be maintained by carrying out the much needed research into appropriate mitigating measures that will alleviate the climate
    change impact globally. A paradigm shift is needed in addressing the associated risks on human health to assess socioeconomic determinants and the related impacts on disease burden. Some wealthy nations emphasize economic benefits and downplay sustainability goals, health and equality. However the rising cost of energy is beginning to influence their outlook towards this issue. The implications on economics, human health and wellbeing are implicit. In order to strike a balance between disadvantaged and privileged nations, many
    international agencies are spearheading various research agenda to improve adaptation programmes on effects of changing climatic conditions on health. Malaysia too has such programmes initiated under its 5-year development plans.
    Matched MeSH terms: Floods
  16. Haque MA, Rafii MY, Yusoff MM, Ali NS, Yusuff O, Arolu F, et al.
    Mol Biol Rep, 2023 Mar;50(3):2795-2812.
    PMID: 36592290 DOI: 10.1007/s11033-022-07853-9
    Natural and man-made ecosystems worldwide are subjected to flooding, which is a form of environmental stress. Genetic variability in the plant response to flooding involves variations in metabolism, architecture, and elongation development that are related with a low oxygen escape strategy and an opposing quiescence scheme that enables prolonged submergence endurance. Flooding is typically associated with a decrease in O2 in the cells, which is especially severe when photosynthesis is absent or limited, leading to significant annual yield losses globally. Over the past two decades, considerable advancements have been made in understanding of mechanisms of rice adaptation and tolerance to flooding/submergence. The mapping and identification of Sub1 QTL have led to the development of marker-assisted selection (MAS) breeding approach to improve flooding-tolerant rice varieties in submergence-prone ecosystems. The Sub1 incorporated in rice varieties showed tolerance during flash flood, but not during stagnant conditions. Hence, gene pyramiding techniques can be applied to combine/stack multiple resistant genes for developing flood-resilient rice varieties for different types of flooding stresses. This review contains an update on the latest advances in understanding the molecular mechanisms, metabolic adaptions, and genetic factors governing rice flooding tolerance. A better understanding of molecular genetics and adaptation mechanisms that enhance flood-tolerant varieties under different flooding regimes was also discussed.
    Matched MeSH terms: Floods
  17. Nozmi N, Samsudin S, Sukeri S, Shafei MN, Wan Mohd WMZ, Idris Z, et al.
    PMID: 29642390 DOI: 10.3390/ijerph15040693
    Little is known on the knowledge, attitudes and preventive practices (KAP) of leptospirosis worldwide. This study embarked on assessing the KAP of leptospirosis among rural communities in Malaysia. A total of 444 participants (223 male; 221 female) aged between 18 and 81 years old were surveyed by using a self-administered questionnaire. A majority of participants had poor knowledge level (57.0%), unacceptable attitudes (90.3%) and unacceptable preventive practices (69.1%) on leptospirosis, and only 29.7% knew "rat-urine disease" as leptospirosis. Only 34.2% of the participants knew the bacteria could enter via wound lesions. Ethnicity and income were strongly associated with knowledge level and preventive practices, respectively (p-values < 0.05). As for attitudes, ethnicity, income and education type were significantly associated (p-values < 0.05). Only 36.5% of the participants were willing to see a doctor and did not mind if their house or surrounding area is dirty (59.7%). Surprisingly, only 32.9% had used rubber boots during floods. By logistic regression analysis, ethnicity was the only significant predictor for both knowledge level (an odds ratio (AOR) = 0.39, 95% confidence interval (CI) = 0.222-0.680) and preventive practices (AOR = 1.81, 95% CI = 1.204-2.734). Ethnicity (AOR = 0.40, 95% CI = 0.239-0.665), income (AOR = 1.58, 95% CI = 1.041-2.385) and education type (AOR = 3.69, 95% CI = 1.237-10.986) were strong predictors for attitudes. Among the KAP variables, attitude (AOR = 4.357, 95% CI = 2.613-7.264) was the only predictor for the preventive practices by logistic regression analysis. The KAP elements on leptospirosis are still lacking and poor health seeking behavior and attitudes are of our utmost concern. Thus, effective strategies should be planned to impart knowledge, and develop proactive approaches and good preventive modules on leptospirosis to this leptospirosis-prone community.
    Matched MeSH terms: Floods
  18. Arifin H, Kayode J, Arifin K, Zahir Z, Abdullah M, Azmi A
    Data Brief, 2020 Jun;30:105491.
    PMID: 32373680 DOI: 10.1016/j.dib.2020.105491
    The Transient Electro-Magnetic (TEM) geophysical technique was deployed to map and characterized the subsurface of Pahang River Basin along the East Coast Peninsula Malaysia. The data aimed at differentiating between the massive zones and the weak zones within the region, to also assess and differentiate the subsurface structures and comes up with recommendations for policy decision, formulation and plans on the flooding impact, surface water and groundwater managements, in addition to other environmental related issues ravaging the area. The data presented in this paper, showed the properties of the subsurface rocks underlain the region as beneficial to the Agriculturists; Climatologists; Engineers; Environmentalists; Geoscientists, Hydrologists and Policy formulation officers. The TEM data collection utilized a 100 m x 100 m single loop coil for both the Transmitter (Tx) loop and the Receiver (Rx) loop to produce a total surface area coverage of 10,000 m2 per survey line along a single profile. The total area covered in the data extended across an average area of 30 km x 40 km in parts of Maran, Temerloh and Jerantut districts, within the State of Pahang, East Coast, Peninsula Malaysia. The conductivity data recorded varied from -20 mS/m to about 440 mS/m at a maximum depth of about 375 m. On the other hand, the resistivity data recorded varied from 0 Oh-m to about 1000 Oh-m. The information derived from the data are intended for potential abstraction by the Malaysian Groundwater Management Board; the Department of Mineral and Geoscience; Department of Irrigation and Drainage; the Pahang State Water Board, and the Department of Agriculture.
    Matched MeSH terms: Floods
  19. Sabri Abdul Rahman M, Khairani Bejo S, Zakaria Z, Hassan L, Azri Roslan M
    J Vet Res, 2021 Mar;65(1):53-58.
    PMID: 33817395 DOI: 10.2478/jvetres-2021-0003
    Introduction: Leptospirosis is a bacterial disease that affects both humans and animals, the occurrence of which increases markedly during and after heavy rainfall and flooding. The aim of this study was to determine the serological prevalence of leptospiral infection in livestock after a voluminous flood in 10 districts of the Malaysian state of Kelantan.

    Material and Methods: In December 2014, Kelantan was hit by an extensive flood. A total of 1,728 serum samples were collected from livestock from the state, comprised of 1,024 from cattle, 366 from goats and 338 from sheep, and they were tested using the microscopic agglutination test (MAT).

    Results: Altogether, 203 (11.75%; 203/1728; 95% CI: 10.20%-13.30%) of the tested sera were found to be positive serologically. Cattle had the highest prevalence of 14.16% (145/1024), while goats and sheep had 11.20% (41/366) and 5.03% (17/338) respectively. The most frequent serovars detected were Hardjo-bovis (3.70%; 64/1728), Hebdomadis (2.08%; 36/1728) and Pomona (1.04%; 18/1728). There was a statistically significant association (P < 0.05) between livestock that were exposed to the flood and seropositivity.

    Conclusion: This study showed that flood is a risk factor that can play a role in the epidemiology of leptospiral infection in livestock.

    Matched MeSH terms: Floods
  20. Mohtar, A., Neefa Bibi, B., Badri, Y.
    MyJurnal
    Introduction : Mersing, a district in north-east Johore was also affected by the recent worst flood in 100 years that striked Johore. Orang Asli settlements were among the worst affected by the flood in Mersing due to their location along the river. For Kg. Peta, not only flooded, the communications as well as the access roads were also tarnished. This settlement situated very deep interior about 100 km from Mersing town and next to Endau- Rompin National Park. Besides the distance, the geography and the communication issues make the flood operation even more difficult. Even then, the welfare of this minority group was never been neglected. Our Medical and Health Teams made a move in but unfortunately were also been trapped in between the flood waves.
    Methodology : It was a qualitative finding. The data for this report were collected from various means. Some data were collected through informal interview among the staffs that being trapped, head villager and the dwellers, local head departments of government and non-government organizations. Others were from the relevant photographs, formal flood returns as well as through the observation.
    Finding : The existence of very good involvement, cooperation and coordination from various agencies was the main factor that ensures all the villagers of Kg. Peta received our services despite of many difficulties or challenges. During this disaster, no outbreak of infectious disease or death from the settlement was reported. The welfare and the needs of all who affected and those involved in the flood operation were taken care off. Therefore, we believed that without good support and cooperation from others, we will not be able to deliver our services and their welfare especially when health was concerned will be deprived. The objectives of this write up were to share our experience in managing flood in very remote area and to show the importance of good integration between agencies in disaster management.
    Matched MeSH terms: Floods
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