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Article ; Online: Challenging the spread of COVID-19 in Thailand

Kraichat Tantrakarnapa / Bhophkrit Bhopdhornangkul

One Health, Vol 11, Iss , Pp 100173- (2020)

2020

Abstract: Coronavirus disease (COVID-19) has been identified as a pandemic by the World Health Organization (WHO). It was initially detected in Wuhan, China and spread to other cities of China and all countries. It has caused many deaths and the number of ... ...

Abstract	Coronavirus disease (COVID-19) has been identified as a pandemic by the World Health Organization (WHO). It was initially detected in Wuhan, China and spread to other cities of China and all countries. It has caused many deaths and the number of infections became greater than 18 million as of 5 August 2020. This study aimed to analyze the situation of COVID-19 in Thailand and the challenging disease control by employing a dynamic model to determine prevention approaches. We employed a statistical technique to analyze the ambient temperature influencing the cases. We found that temperature was significantly associated with daily infected cases (p-value <0.01). The SEIR (Susceptible Exposed Infectious and Recovered) dynamic approach and moving average estimation were used to forecast the daily infected and cumulative cases until 16 June as a base run analysis using STELLA dynamic software and statistical techniques. The movement of people, both in relation to local (Thai people) and foreign travel (both Thai and tourists), played a significant role in the spread of COVID-19 in Thailand. Enforcing a state of emergency and regulating social distancing were the key factors in reducing the growth rate of the disease. The SEIR model reliably predicted the actual infected cases, with a root mean square error (RMSE) of 12.8. In case of moving average approach, RMSE values were 0.21, 0.21, and 0.35 for two, three and five days, respectively. The previous records were used as input for prediction that caused lower values of RMSE. Two-days and three-days moving averages gave the better results than SEIR model. The SEIR model is suitable for longer period prediction, whereas the moving average approach is suitable for short term prediction. The implementation of interventions, such as governmental regulation and restrictions, through collaboration among various sectors was the key factor for controlling the spreading of COVID-19 in Thailand.
Keywords	COVID-19 ; Disease control ; Thailand ; Spread of disease ; SEIR model ; Moving average model ; Medicine (General) ; R5-920
Subject code	950
Language	English
Publishing date	2020-12-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: THE THREE-YEAR SURVIVAL RATE OF CERVICAL CANCER PATIENTS AT REFERRAL HOSPITAL IN SOUTHERN SUMATRA, INDONESIA

Zubaidah Zubaidah / Rico Januar Sitorus / Rostika Flora / Kraichat Tantrakarnapa

Jurnal Berkala Epidemiologi, Vol 10, Iss 2, Pp 121-

2022 Volume 129

Abstract: Background: Cervical cancer is the second most common cancer and the third leading cause of death in Indonesia. Purpose: This study aims to identify the 3-year survival rate of cervical cancer patients and its prognostic factors in a referral hospital in ...

Abstract	Background: Cervical cancer is the second most common cancer and the third leading cause of death in Indonesia. Purpose: This study aims to identify the 3-year survival rate of cervical cancer patients and its prognostic factors in a referral hospital in Southern Sumatra, Indonesia. Methods: Cohort retrospective study using secondary data from medical records of cervical cancer patients from January 2014 until December 2016. Data of each patient was evaluated for 36 months since the patients were firstly diagnosed with cervical cancer. Kaplan Meier curve was used to determine the survival rate and identify the proportional hazard assumption. The Cox regression model was utilized to determine the survival rate and Hazard Ratio (HR). Results: There were 274 of 799 cervical cancer patients who met the inclusion criteria. The 3-year survival rate for cervical cancer patients at survival rate was around 65%, and prognostic factors related to the survival of cervical cancer patients with p-value <0.05, i.e. age (HR=0.51; 95%CI=0.29-0.90), metastasis (HR=2.43; 95%CI=1.28-4.61), and completeness of therapy (HR=7.23; 95%CI=3.82-13.71. The complication was a confounding factor with metastasis and survival rate. Conclusion: The 3-year survival rate for cervical cancer patients at Mohammad Hoesin Hospital Palembang (RSMH) was 65%. The prognostic factors for the survival rate were age, metastasis, and completeness therapy. It was essential for cervical cancer patients to adhere to the therapy program recommended by doctors to increase the survival rate.
Keywords	cervical cancer ; survival rate ; prognostic factor ; survival analysis ; Public aspects of medicine ; RA1-1270 ; Infectious and parasitic diseases ; RC109-216
Subject code	610 ; 616
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	Universitas Airlangga
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: FACTORS INFLUENCING THE QUALITY OF DRINKING WATER FROM VENDING MACHINES IN THE INNER CITY OF BANGKOK

Akemi Kita / Tanasri Sihabut / Kraichat Tantrakarnapa

Public Health of Indonesia, Vol 6, Iss 2, Pp 47-

2020 Volume 56

Abstract: Objective: To investigate coliform contamination in drinking water from vending machines in the Rajvithi area of Bangkok. Study Design: Cross-sectional study Methods: Associated environmental factors were observed and self-administered questionnaires ... ...

Abstract	Objective: To investigate coliform contamination in drinking water from vending machines in the Rajvithi area of Bangkok. Study Design: Cross-sectional study Methods: Associated environmental factors were observed and self-administered questionnaires conducted. In total, 123 drinking-water samples were collected to test coliform bacteria contamination. Results: Coliform bacteria were detected in 28.5% of samples. Links were found between coliform contamination and filter cleaning practices in 57 maintenance persons' responses. Filters cleaned < 3 times per year were at higher risk of coliform contamination (OR 14.49, 95% CI 1.76-125.00). A negative association was found between coliform contamination and vending-machine filters' being cleaned within 100 days (OR 0.21, 95% CI 0.05-0.83). Conclusion: A negative association was found between coliform contamination and vending-machine filters' being cleaned within 100 days (OR 0.21, 95% CI 0.05-0.83). These results emphasized the importance of effective vending-machine maintenance and monitoring drinking-water quality.
Keywords	drinking water ; vending machine ; bangkok ; maintenance ; Public aspects of medicine ; RA1-1270
Language	English
Publishing date	2020-05-01T00:00:00Z
Publisher	YCAB Publisher
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Simulation of PM2.5 Concentrations around the Proposed Yangon Outer Ring Road (Eastern Section) in Myanmar Using CALINE 4 Model

Shwe Sin Ko Ko / Ranjna Jindal / Win Trivitayanurak / Kraichat Tantrakarnapa / Nawatch Surinkul

Environment and Natural Resources Journal, Vol 20, Iss 4, Pp 400-

2022 Volume 410

Abstract: An increase in traffic volume has resulted in the deterioration of environmental quality and human health in Yangon as well as in the surrounding areas that are connected to the city via several road links. The Yangon Outer Ring Road Construction (YORR) ( ...

Abstract	An increase in traffic volume has resulted in the deterioration of environmental quality and human health in Yangon as well as in the surrounding areas that are connected to the city via several road links. The Yangon Outer Ring Road Construction (YORR) (Eastern Section) is a priority project for solving traffic-related problems. This study aimed to simulate the current levels of PM2.5 concentration around the proposed YORR (Eastern Section) area using the CALINE 4 model and to evaluate the model’s performance. Air quality measurements of PM2.5 were carried out in five townships around the proposed road construction area-for one week at each monitoring location-from January 24th to March 2nd, 2021 using the Haz-Scanner Environmental Perimeter Air Station. When compared to the ambient air quality guidelines of Myanmar, the International Finance Corporation, and the World Health Organization, the observed PM2.5 concentrations were found to be usually high at all locations, except in Kyauktan township. Statistical analysis indicated that the CALINE 4 model performed satisfactorily with a coefficient of determination of 0.85-0.90, fractional bias of 0.03-0.50, and normalized mean square error of 0.001-0.100. It is crucial that mitigation measures, including policies regarding the use of low PM emission vehicles and road-side barriers, be implemented by regulatory authorities during and after the YORR construction.
Keywords	air pollution ; pm2.5 ; caline 4 model ; yangon outer ring road ; air quality ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350
Subject code	380
Language	English
Publishing date	2022-06-01T00:00:00Z
Publisher	Mahidol University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Association of Sanitary Conditions and Bacteriological Quality of Tube Ice in Ice Plants in Metropolitan Bangkok, Thailand

Kraichat Tantrakarnapa

EnvironmentAsia, Vol 3, Iss 1, Pp 8-

2010 Volume 12

Abstract: This investigation aimed at studying the correlation between ice plant sanitary conditions and bacteriological quality of ice. The sanitary conditions in accordance with GMP regulations, the bacteriological quality of tube ice, and the processing water ... ...

Abstract	This investigation aimed at studying the correlation between ice plant sanitary conditions and bacteriological quality of ice. The sanitary conditions in accordance with GMP regulations, the bacteriological quality of tube ice, and the processing water in 20 plants in Bangkok were studied. A modified inspection form from the Office of Food and Drug Administration was used for sanitary condition surveys. Ice and processing water samples were collected 2 times per plant with 3 samples each time. All 120 samples were analyzed for bacteriological quality by means of Standard Plate Count technique (Pour plate method) and Most Probable Number technique (MPN method). The results indicated that forty percent (8 Tube plants) failed and the remaining passed sanitary condition criteria. 23% of Tube Ice samples were acceptable in the standard permission level in terms of Total coliform bacteria and Fecal coliform bacteria. All Tube Ice plant processing water samples were acceptable in comparison with the standard permission level. Ice plant sanitary conditions were significantly correlated to bacteriological quality of the ice (p<0.05). Ice plant manufacturers should develop and implement Sanitary Standard and Operational Procedures (S.S.O.P.) in accordance with all GMP requirements to improve Ice plant sanitary conditions.
Keywords	sanitary conditions ; bacteriological quality ; ice tube ; ice plant ; Geography. Anthropology. Recreation ; G ; Environmental sciences ; GE1-350
Language	English
Publishing date	2010-01-01T00:00:00Z
Publisher	Thai Society of Higher Eduction Institutes on Environment
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Fungal Assemblages on Indoor Surfaces with Visible Mold Growth in Homes after the 2016 Flood Disaster in Thailand

Nopadol Precha / Wissanupong Kliengchuay / Cheolwoon Woo / Naomichi Yamamoto / Kraichat Tantrakarnapa

Applied Sciences, Vol 10, Iss 5322, p

2020 Volume 5322

Abstract: Southern Thailand suffers from floods due to heavy rainfalls every year. Post-flood increases in indoor fungi are a public health concern. Here, we investigated fungal assemblages on indoor surfaces with visible mold growth in homes after the 2016 flood ... ...

Abstract	Southern Thailand suffers from floods due to heavy rainfalls every year. Post-flood increases in indoor fungi are a public health concern. Here, we investigated fungal assemblages on indoor surfaces with visible mold growth in homes after the 2016 flood disaster in Trang Province in Southern Thailand, using swab sampling followed by high-throughput DNA sequencing of the fungal internal transcribed spacer 1 region. The most abundant phyla detected were Ascomycota and Basidiomycota, with respective mean relative abundances of 87% and 13%. The dominant genera and their mean relative abundances were Leptospora (12.0%), Cystobasidium (7.7%), and Pyrenochaetopsis (6.5%). P-tests showed that indoor visible fungal assemblages in flooded homes in Thailand were significantly different from those in the non-flooded mold-laden homes observed in our previous study in South Korea. We detected 20 genera that contain species that can induce type I allergies, including Alternaria (3.8%) and Trichoderma (4.0%). Genera related to infectious, melanized, and toxigenic fungi were also detected. Indoor fungal measurements gathered using a DNA-based approach revealed fungal communities in homes in Thailand and provide important information about the potential health risks. Future research should examine the fungal infections and allergies that might be caused by flood disasters in less well studied tropical countries.
Keywords	DNA metabarcoding ; high-throughput sequencing ; mycobiome ; dampness ; mold ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	590
Language	English
Publishing date	2020-07-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Climatic Factors Influencing Dengue Hemorrhagic Fever in Kolaka District, Indonesia

Ramadhan Tosepu / Kraichat Tantrakarnapa / Suwalee Worakhunpiset / Kanchana Nakhapakorn

Environment and Natural Resources Journal, Vol 16, Iss 2, Pp 1-

2018 Volume 10

Abstract: Dengue hemorrhagic fever in Indonesia is one of the serious health problems and requires understanding the occurrence of this disease. Climate Factors have a role that needs attention in the prevention of DHF disease. Understanding of disease patterns ... ...

Abstract	Dengue hemorrhagic fever in Indonesia is one of the serious health problems and requires understanding the occurrence of this disease. Climate Factors have a role that needs attention in the prevention of DHF disease. Understanding of disease patterns will benefit the health surveillance system and provide a way to tackle this problem. The records of dengue fever cases and climate data for the years 2010-2015 were obtained from the Health Office Kolaka District, southeast Sulawesi province and Meteorology, Climatology and Geophysics Agency in Southeast Sulawesi province, respectively. Data for the period 2010 to 2014 were used for model development through multiple linear regressions. The prediction model was used to forecast dengue cases in 2015 and the predicted results were compared with reported dengue cases in Kolaka in the past and forecasting period. Rainfall, humidity, temperature average, minimum temperature, and maximum temperature are significantly correlated with monthly cases of dengue fever. Predicted results showed a good performance where the model was able to predict 3 out of 5 epidemic outbreak events that occurred in January-March 2015 and November-December 2015. The sensitivity of detecting the outbreaks was estimated to be 60%, the specificity was 100%, positive and negative predictive value were estimated to be 100% and 77.8%, respectively. Climate has a major influence on the occurrence of dengue hemorrhagic fever infection in Kolaka district. Although the predictive model has some limitations in predicting the number of cases of monthly dengue fever, it can estimate the possibility of an outbreak three months in advance with a fairly high accuracy. The predictive model can be used to explain the incident rate of DHF of approximately 71%.
Keywords	Aedes aegypti ; Dengue hemorrhagic fever ; Climate ; Kolaka ; Indonesia ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350
Subject code	333
Language	English
Publishing date	2018-03-01T00:00:00Z
Publisher	Mahidol University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Health risks from multiroute exposure of potentially toxic elements in a coastal community

Ratna Dwi Puji Astuti / Anwar Mallongi / Kyungho Choi / Ridwan Amiruddin / Muhammad Hatta / Kraichat Tantrakarnapa / Annisa Utami Rauf

Geomatics, Natural Hazards & Risk, Vol 13, Iss 1, Pp 705-

a probabilistic risk approach in Pangkep Regency, Indonesia

2022 Volume 735

Abstract: Populations in coastal areas are vulnerable to chronic exposure to potentially toxic elements (PTEs) from aquatic ecosystems. In this study, we estimated the health risks from Cd, Cr, Fe, and Pb exposure in river water, sediments, and edible aquatic ... ...

Abstract	Populations in coastal areas are vulnerable to chronic exposure to potentially toxic elements (PTEs) from aquatic ecosystems. In this study, we estimated the health risks from Cd, Cr, Fe, and Pb exposure in river water, sediments, and edible aquatic biota (Anadara granosa and Chanos chanos). Human daily intake was determined by an interview process with 287 respondents that were selected by proportional cluster random sampling. The cumulative probability value for total risk exceeded the acceptable limit value, indicating that adverse health impacts from PTE exposure may occur in the Pangkep coastal population. The sensitivity analysis showed that exposure duration and Cr concentrations are the factors with the greatest influence in a recreational exposure scenario, whereas the frequency of exposure to shellfish and milkfish is the most influential factor for health risks in a residential scenario. Thus, reducing Cr concentrations in river water, restricting swimming duration, and limiting the frequency of shellfish and milkfish consumption are required to mitigate health risks in the future.
Keywords	Carcinogenic risk ; noncarcinogenic risk ; probabilistic risk assessment ; river pollution ; toxic metals ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350 ; Risk in industry. Risk management ; HD61
Language	English
Publishing date	2022-12-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The Elemental Characteristics and Human Health Risk of PM 2.5 during Haze Episode and Non-Haze Episode in Chiang Rai Province, Thailand

Sarima Niampradit / Wissanupong Kliengchuay / Rachaneekorn Mingkhwan / Suwalee Worakhunpiset / Nuttapohn Kiangkoo / Suntorn Sudsandee / Anuttara Hongthong / Weerayuth Siriratruengsuk / Thunyaluk Muangsuwan / Kraichat Tantrakarnapa

International Journal of Environmental Research and Public Health, Vol 19, Iss 6127, p

2022 Volume 6127

Abstract: Fine particle matter (PM 2.5 ) was directly related to seasonal weather, and has become the influencing factor of air quality that is harmful for human health in Chiang Rai province. The aims were determining the elemental composition in PM 2.5 and human ...

Abstract	Fine particle matter (PM 2.5 ) was directly related to seasonal weather, and has become the influencing factor of air quality that is harmful for human health in Chiang Rai province. The aims were determining the elemental composition in PM 2.5 and human health risk in haze (March 2021) and non-haze episodes (July–August 2021). Nine elements in PM 2.5 were measured by using an Atomic Absorption Spectrophotometer, and an enrichment factor was used to identify the emission source. The results showed that the average concentration of PM 2.5 was 63.07 μg/m 3 in haze episodes, and 25.00 μg/m 3 in a non-haze episode. The maximum concentration was 116.7 μg/m 3 in March. The majority of elements originated from anthropogenic sources. In haze episodes, PM 2.5 mean concentration was approximately 4.2 times that of the WHO guidelines (15 μg/m 3 24 h), and 1.3 times that of the Thai Ambient Air Quality Standard (50 μg/m 3 ). The analysis of backward air mass trajectory showed that transboundary and local sources significantly influenced PM 2.5 at the monitoring site in the sampling period. In the health risk assessment, the non-carcinogenic risk of Cd was the highest, with a Hazard Quotient (HQ) of 0.048, and the cancer risk of Cr was classified as the highest cancer risk, with the values of 1.29 × 10 −5 , higher than the minimum acceptable level.
Keywords	PM 2.5 ; elemental composition ; health risk assessment ; haze episode ; Medicine ; R
Subject code	333
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The association of meteorological parameters and AirQ+ health risk assessment of PM2.5 in Ratchaburi province, Thailand

Wissanupong Kliengchuay / Wechapraan Srimanus / Rachodbun Srimanus / Nuttapohn Kiangkoo / Kamontat Moonsri / Sarima Niampradit / San Suwanmanee / Kraichat Tantrakarnapa

Scientific Reports, Vol 12, Iss 1, Pp 1-

2022 Volume 8

Abstract: Abstract Air quality is heavily influenced by rising pollution distribution levels which are a consequence of many artificial activities from numerous sources. This study aims to determine the relationship between meteorological data and air pollutants. ... ...

Abstract	Abstract Air quality is heavily influenced by rising pollution distribution levels which are a consequence of many artificial activities from numerous sources. This study aims to determine the relationship between meteorological data and air pollutants. The health effects of long-term PM2.5 were estimated on expected life remaining (ELR) and years of life lost (YLL) indices in Ratchaburi province during the years 2015–2019 using AirQ+ software. Values obtained from the PM2.5 averaging, and YLL data were processed for the whole population in the age range of 0–29, 30–60 and over 60. These values were entered into AirQ+ software. The mean annual concentration of PM2.5 was highly variable, with the highest concentration being 136.42 μg/m3 and the lowest being 2.33 μg/m3. The results estimated that the highest and lowest YLL in the next 10 years for all age groups would be 24,970.60 and 11,484.50 in 2017 and 2019, respectively. The number of deaths due to COPD, IHD, and stroke related to long-term exposure to ambient PM2.5 were 125, 27 and 26, respectively. The results showed that older people (> 64) had a higher YLL index than the groups aged under 64 years. The highest and lowest values for all ages were 307.15 (2015) and 159 (2017). Thus, this study demonstrated that the PM2.5 effect to all age groups, especially the the elderly people, which the policy level should be awared and fomulated the stratergies to protecting the sensitive group.
Keywords	Medicine ; R ; Science ; Q
Subject code	333
Language	English
Publishing date	2022-07-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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