Displaying all 5 publications

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  1. Fatimah Sulong, Ruhaya Salleh, Zainudin Mohd Ali
    Malays J Nutr, 2019;25(3):287-296.
    MyJurnal
    Introduction: The implementation of front-of-pack (FOP) energy icon labelling helps
    consumers in making good food choices. This is the first study in Malaysia focusing
    on such labelling since it was launched in 2012. It was aimed at determining the
    awareness and understanding of the FOP energy icon on food labels in Malaysia.
    Methods: A total of 366 consumers aged 18-60 years old in the state of Negeri
    Sembilan participated in the study. A guided, self-administered survey was
    conducted using a convenient sampling method. Results: The results showed
    that 85% of consumers surveyed were aware of FOP energy icon. Among those
    who were aware of the icon, 50% (n=155) were categorised as ‘excellent’ and 41%
    (n=128) categorised as ‘good’, for understanding the FOP. Conclusion: This study
    indicated that the icon could be viewed as a potential tool to be used in conjunction
    with the nutrition information panel (NIP). Most of the respondents could extract
    nutrition information from the FOP (energy) icon. The study showed that those who
    had understood the icon were in the group categories of high education, youth
    and female. There was also no significant association between those who received
    nutrition labelling education and level of understanding nutrition information from
    the icon. Therefore, it is important to further explore the possibility the beneficial
    impact of FOP labelling system, including consumer education aspects.
  2. Husam IS, Abuhamad, Azuraliza Abu Bakar, Suhaila Zainudin, Mazrura Sahani, Zainudin Mohd Ali
    Sains Malaysiana, 2017;46:255-265.
    Dengue fever is considered as one of the most common mosquito borne diseases worldwide. Dengue outbreak detection can be very useful in terms of practical efforts to overcome the rapid spread of the disease by providing the knowledge to predict the next outbreak occurrence. Many studies have been conducted to model and predict dengue outbreak using different data mining techniques. This research aimed to identify the best features that lead to better predictive accuracy of dengue outbreaks using three different feature selection algorithms; particle swarm optimization (PSO), genetic algorithm (GA) and rank search (RS). Based on the selected features, three predictive modeling techniques (J48, DTNB and Naive Bayes) were applied for dengue outbreak detection. The dataset used in this research was obtained from the Public Health Department, Seremban, Negeri Sembilan, Malaysia. The experimental results showed that the predictive accuracy was improved by applying feature selection process before the predictive modeling process. The study also showed the set of features to represent dengue outbreak detection for Malaysian health agencies.
  3. Rozita Hod, Hidayatulfathi Othman, Nurul Azimah Jemain, Mazrura Sahani, Kamarulismail Udin, Zainudin Mohd Ali, et al.
    Int J Public Health Res, 2013;3(2):347-352.
    MyJurnal
    Dengue is a disease propagated by vectors namely Aedes spp. mosquitoes. One of the effective approaches to control dengue is through integrated vector management and intervention programs. COMBI or Communication for Behavioral Impact is a strategic approach to control the Aedes population as well as dengue cases. This study was conducted at Taman Desa Kolej, Nilai, Negeri Sembilan, an suburban residential area to determine the effectiveness of COMBI, by using questionnaire and entomological survey as well as implementation of an intervention program. We carried out activities such as the establishment of COMBI promoter team, clean up events, talk shows with the residential community and distributed pamphlets containing information about dengue. Results indicated significant difference (p
  4. Mazrura Sahani, Hidayatulfathi Othman, Nadia Atiqah Mohd Nor, Rozita Hod, Zainudin Mohd Ali, Mohamad Naim Mohmad Rasidi, et al.
    Sains Malaysiana, 2012;41:261-269.
    Kajian ekologi nyamuk merupakan kajian yang penting dalam merangka sesuatu aktiviti kawalan penyakit bawaan nyamuk. Satu kajian ekologi nyamuk Aedes telah dijalankan di Senawang, Negeri Sembilan dari Julai 2009 hingga Febuari 2010. Senawang terletak di pinggir bandaraya Seremban yang merupakan kawasan perindustrian kecil dan sederhana dengan jumlah penduduk yang padat. Kajian ekologi vektor ini bertujuan menentukan komposisi nyamuk secara keseluruhan terutamanya kepadatan populasi Aedes, masa kemuncak gigitan nyamuk, mengenal pasti kehadiran tempat pembiakan nyamuk dan menentukan hubung kait antara nyamuk Aedes dengan faktor persekitarannya seperti suhu, kelembapan relatif, halaju angin dan curahan hujan. Pensampelan nyamuk Aedes menggunakan empat kaedah iaitu perangkap cahaya (CDC), tangkapan nyamuk berumpan kaki (BLC), ovitrap dan kajian Aedes. Terdapat dua spesies nyamuk di lokasi kajian yang didominasi oleh Ae. albopictus (93.29%) dan Ae. aegypti (0.11%). Terdapat dua masa kemuncak gigitan nyamuk Ae. albopictus iaitu awal pagi (0700-0900 pagi) dan lewat petang (jam 1700-1900). Suhu persekitaran, kelembapan relatif dan kelajuan angin didapati mempunyai kaitan dengan gigitan nyamuk Aedes pada perumah (p < 0.05). Taburan hujan didapati tidak mempunyai hubungan dengan kepadatan nyamuk Aedes (r = -0.137, n =6 , p > 0.05). Kepadatan nyamuk Ae. albopictus adalah tinggi di lokasi kajian dengan Indeks Ovitrap 100% bagi kesemua stesen. Kajian Aedes mendapati daripada 30 bekas yang positif larva, 93.33% daripadanya didominasi oleh Ae. albopictus. Kajian ini menunjukkan kepadatan Ae. albopictus adalah tinggi dan berpotensi membawa penyakit demam denggi dan chikungunya di lokasi kajian. Penjagaan persekitaran perlu ditekankan kepada masyarakat setempat untuk mengawal penyebaran penyakit-penyakit tersebut.
  5. Mohamad Naim Mohamad Rasidi, Mazrura Sahani, Hidayatulfathi Othman, Rozita Hod, Shaharudin Idrus, Zainudin Mohd Ali, et al.
    Sains Malaysiana, 2013;42:1073-1080.
    Penyakit denggi merupakan penyakit bawaan vektor yang menjadi salah satu ancaman utama kesihatan awam di Malaysia. Pemetaan taburan kes denggi daripada aspek reruang-masa boleh menjadi kaedah yang berguna dalam menilai risiko denggi kepada masyarakat. Kajian ini bertujuan untuk memetakan taburan reruang dan reruang-masa kes-kes denggi di dalam daerah Seremban, dijalankan dengan Sistem Maklumat Geografi (GIS) khususnya analisis reruang dan reruang-masa. Analisis taburan reruang menggunakan Indeks Moran, purata kejiranan terdekat (ANN) dan anggaran kepadatan Kernel. Analisis reruang-masa ditentukan dengan indeks kekerapan, jangka masa dan intensiti untuk mengenal pasti kawasan berisiko denggi mengikut masa. Sejumlah 6076 kes denggi dicatatkan di Pejabat Kesihatan Daerah Seremban dari tahun 2003 hingga 2009. Kadar insiden denggi adalah tinggi pada tahun 2003, 2008 dan 2009 dengan nisbah denggi : denggi berdarah adalah 21.6:1. Indeks Moran menunjukkan kes denggi berlaku dalam pengelompokan dengan skor Z adalah 16.384 (p=0.000). Analisis ANN dengan 0.264 (p= 0.000) dengan purata jarak insiden antara kes denggi di dalam kawasan kejiranan adalah 55 m. Anggaran kepadatan Kernel menunjukkan lokasi kawasan panas kes denggi tertumpu di Nilai dan Ampangan. Analisis reruang masa dengan purata nilai tertinggi indeks kekerapan, jangka masa dan intensiti masing-masing melebihi 0.023, 0.614 dan 0.657 di kawasan berisiko tinggi denggi di Nilai, Seremban dan Ampangan. Pengawalan denggi perlu diberi tumpuan kepada kawasan berisiko tinggi ini.
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