Abstract
Thailand lacks occupational injury and illness (OII) surveillance for its agricultural sector, a sector that comprises 34% of the total Thai workforce but is not covered by the workers compensation system. This study used data from Thailand’s Universal Health Care System to estimate the medical costs of OIIs from agricultural work in Thailand. In 2017, OII medical costs totaled $47 million (USD), about ~ 0.2% of the gross domestic product produced by the Thai agricultural sector. We recommend that some of the national funds currently used for medical treatment of OIIs be used instead to develop and implement prevention programs in agriculture. This would improve not only worker health and safety, but also productivity. Availability of data on working conditions, injuries and illnesses, and especially lost time, lost income and productivity, and OII-related costs for the workers and their dependents might enable better public health policy formulation.
Keywords: Agricultural, Occupational injury and illness (OII), Costs
Introduction
In recent years, the importance of Thailand’s agricultural sector to the national GDP has declined from 10.5% in 2014 to 8.6% in 2018 [1]. Agriculture remains part of Thailand’s economic growth, having expanded by 5.0% in 2018, and employing over 13 million workers (34%) [2] in 2018. These agricultural workers constitute 40% of those below the poverty line (~ $3 per day) in Thailand [3].
Thailand’s Labor Protection Act covers workers in the private sector but does not apply to informal sector agricultural workers [4]. Agricultural workers are exposed to physical hazards such as heat stress due to the equatorial climate, biological hazards such as insect-borne diseases and parasites, chemical hazards such as pesticides and herbicides [5]. They also face safety hazards due to the use of hand tools, poorly guarded machinery, repetitive and awkward postures, and inadequate use of personal protective equipment. These common hazards, present in the many and frequent agricultural tasks, put farmers at risk of occupational injuries and illnesses [6]. Farmers often seek medical treatment at local primary healthcare units (PCUs), also called health-promoting hospitals, or at district or provincial hospitals for more intensive levels of care.
Thailand’s Universal Health Coverage Scheme (UHCS) is a tax-financed scheme that provides free healthcare at the point of service introduced in 2002 [7]. The UHCS covers approximately 47 million people, 75% of the country’s population. These are mostly low-wage informal sector workers, as formal sector employees are covered under the 1990 Social Security Act. As the main social health insurance scheme in Thailand, the UHCS accounts for 17% of the country’s total health expenditures. Informal agricultural workers who live in rural areas with local healthcare services constitute the majority of UHCS’s beneficiaries [8]. The beneficiaries receive services almost identical to those provided to formal sector workers through the national Social Security Administration (SSA), including outpatient, inpatient, accident, and emergency services, plus dental care.
Formal sector workers in the SSA are also covered by the Workers Compensation Fund Act of 1994 that compensates employees who experience work-related injuries or diseases, disabilities, or die. The Workers Compensation program is the principal collector of data on occupational injuries and illnesses in Thailand. Workers Compensation does not, however, cover informal sector workers, and lacks a mechanism to subsidize informal sector worker enrollment in the SSA or Workers Compensation. These gaps and the general lack of government regulation of occupational safety and health in the informal sector have shifted medical treatment expenditures for OIIs to the UHCS [9].
The National Health Security Office (NHSO) developed a claims and reimbursement management system for the UHCS. All outpatient and inpatient medical service data from all healthcare facilities nationwide are consolidated in a health data center. To control treatment costs, UHCS employs ‘closed-end provider payment mechanisms’. That is, for outpatient services, all hospitals and PCUs are paid a flat rate for each beneficiary, capped at $39 USD per beneficiary [10]. Inpatient services are reimbursed based on the patients’ diagnosis classification using the World Health Organization’s International Classification of Diseases version 10 (ICD 10) and ICD 9-CM (Clinical modified version) [11], co-morbidities of each patient, and their treatment/length of hospital stay. The result is a Diagnosis-Related Group (DRG) code. A DRG code consists of five digits that represent Major Diagnostic Category (MDC), Disease Cluster (DC), Complication and Comorbidity (CC) [12]. The DRG-based payment system encourages hospitals and primary healthcare units to manage expenditures for purchasing drugs, supplies, and other services so as not to exceed the DRG allotment and allows comparisons in expenditures across hospitals [13]. Each provincial healthcare office collects individual outpatient and inpatient medical service data from all health service facilities within its province. These are then consolidated at the provincial data center and submitted to the centralized NHSO Health Data Center [14].
Existing models for estimating cost of occupational illness and injury (OII)
In high resource countries with robust data systems, researchers have used workers compensation and social security disability records to estimate the cost of OIIs by multiplying the number of injuries by the average the cost of these injuries, including lost work time, to estimate the average cost [15]. In the United States (U.S.), Leigh et al. [16] were able to draw upon the data from the U.S. Bureau of Labor Statistics Survey of Occupational Injuries and Illnesses (SOII), adjusted by the United States National Institute for Occupational Safety and Health (NIOSH) fatality data. They estimated a cost of $4.57 billion as the consequence of 841 deaths and 512,539 nonfatal injuries and occupational illnesses in the agricultural sector. Even with the extensive data sources in the U.S., underestimates in the true costs of OIIs persist. Leigh et al. [17] reviewed the SOII data, the Quarterly Census of Employment and Wages, and the Current Population Survey to estimate the undercount of OIIs. Their study found that the SOII missed 73.7% of crop farm cases and 81.9% of animal farm cases. This is an important gap, reflecting the difficulty of collecting OII data for the agricultural sector even in a high resource country.
We calculated the medical costs of treating job-related injuries and illnesses among informal sector agricultural workers covered by the UHCS system. (We report all costs in US dollars.) We estimate the expenditures shifted to the UHCS system, so that policy makers can consider re-allocation of funds from medical treatment to OII prevention programs. Our calculations do not include measures of short term and disability losses in worktime, income, and production that affect the contribution of agriculture to the national GDP, as there are currently no data available to support such estimates. In addition, we propose new data collection methods that are needed to better estimate the true full cost of OIIs in the agricultural sector.
Methods
Data collection
At each healthcare visit the following information must be recorded: name, age, sex, marriage status, current and previous occupation, religion, education, family status, blood type, health insurance privileges, ICD-10 diagnosis code, and the medical treatment according to the ICD 9-CM (Clinical modified version). Occupation is coded using the International Standard Classification of Occupations code (ISCO) [18] and entered with other demographic information into the health data system. ISCO codes considered “agricultural work” for this study included the 3-digit codes for: Market gardeners and crop growers (611), Animal producers (612), Forestry, Fishery and Aquaculture workers (621), and Subsistence Crop farmers (631). These were then sub-categorized by 4-digit codes (Table 1). The diagnosis and medical treatment codes assigned by physicians using the standardized Diagnosis-Related Groups (DRG) were applied to calculate the reimbursable average expenditure for that patient’s treatment [19].
Table 1.
ISCO code | Occupation | Number of visits | Cost ($ USD) | Cost per visit ($ USD) |
---|---|---|---|---|
611 | Market gardeners and crop growers | |||
6111 | Field Crop and Vegetable Growers | 1,453,938 | 24,915,162 | |
6112 | Tree and Shrub Crop Growers | 33,512 | 937,364 | |
6113 | Gardeners, Horticultural and Nursery Growers | 52,512 | 1,617,879 | |
6114 | Mixed crop Growers | 17,509 | 276,758 | |
Subtotal for ISCO 611 | 1,557,471 | 27,747,163 | 18 | |
612 | Animal producers | |||
6121 | Livestock and dairy producer | 585 | 19,435 | |
6122 | Poultry producers | 72 | 599 | |
6123 | Apiarist and Sericulturist | 46 | 128 | |
6129 | Animal producers not elsewhere classified | 33,296 | 669,478 | |
6130 | Mixed crop and animal producers | 35,775 | 5,329,711 | |
Subtotal for ISCO 612 | 69,774 | 6,019,350 | 86 | |
621 | Forestry, Fish and Aquaculture workers | |||
6210 | Forestry and related workers | 58 | 843 | |
6221 | Aquaculture workers | 607 | 41,421 | |
6222 | Inland and coastal waters fishery workers | 6,854 | 126,950 | |
6223 | Deep-sea fishery workers | 72 | 1457 | |
6224 | Hunters and trappers | 85 | 1542 | |
Subtotal for ISCO 621 | 7676 | 172,213 | 22 | |
631 | Subsistence Crop Farmers | |||
6310 | Subsistence crop farmers | 24,436 | 2,567,311 | |
6320 | Subsistence livestock farmers | 809 | 4672 | |
6330 | Subsistence mixed crop and livestock farmers | 44,250 | 344,243 | |
6340 | Subsistence fishers, hunters, trappers and gatherers | 239 | 13,474 | |
Subtotal for ISCO 631 | 69,734 | 2,929,701 | 42 | |
Total | 1,704,655 | 36,868,427 | 22 |
Note Exchange rate: THB 32 = 1 US$ (Bank of Thailand)
Method for estimating the costs of the medical treatment of an occupational injury
The data came from all facilities around the country through the UCHS and the HDC. Initially, we obtained the number of outpatient healthcare facility visits by agricultural workers (by ISCO code) who received a medical intervention identified by ICD code S00-S778 [20]. The Bureau of Occupational and Environmental Disease verified these injuries as work related. We calculated the cost of treatment based on actual expenditures incurred.
Method used to estimate the costs of medical treatment of an occupational illness
In addition to providing diagnosis and treatment codes, the Ministry of Public Health asks clinicians to fill out a separate form (#506/2) [21] to report the diagnosis of a particular occupational disease; lung and respiratory disease, physical factor diseases (heat, noise, cold), skin diseases, musculoskeletal diseases, zoonotic and plant-caused diseases, poisoning by metals, solvents, gases, pesticides, and other chemicals. Due to the limited training and capability at local healthcare units, typically staffed by bachelors-level nurses and public health officers, we believe that the surveillance data are unreliable without review by occupational medicine specialists of the clinic data. Thus, we report data on a subset of occupational illnesses collected by the health data centers without verification by the Bureau of Occupational and Environmental Disease. We believe, based on patient reports and healthcare unit staff assessments, that these diseases are the least likely to be misclassified: musculoskeletal disorders (MSD), heat stroke, organic solvent poisoning, hearing loss, and pesticide poisoning. The treatment DRG (and therefore cost) of each job-related illness was not merged with the case diagnosis in the occupational disease surveillance data. Therefore, we assumed that the cost of any of the identified occupational illnesses of agricultural workers was equivalent to the most frequent claim (DRG 04520: respiratory infection or inflammation without significant cost and clinical complexity) [13]. Some occupational illnesses, such as hearing loss, may receive no treatment, while others, such as pesticide poisoning and musculoskeletal disorders, may receive a range of medical treatments, depending on the severity. Thus, the cost associated with all illnesses ($180 USD per visit based on DRG 04520) could be an underestimate or an overestimate in any individual case. The number of visits by agricultural workers to healthcare facilities for each identified occupational disease by ISCO was then multiplied by $180, (treatment cost of DRG 04520) to estimate the agricultural occupational illness medical treatment costs. Pesticide poisonings were an exception, as there was a particular interest by the Ministry of Public Health to collect data on DRG expenditures for pesticide poisoning, allowing a more nuanced look at these healthcare costs.
Results
The cost of occupational injuries in agricultural works
There were 1,704,655 occupational injuries in Thai agriculture in 2017 and $36 million US dollars in medical treatment charges. The largest number of visits was in the Market Gardeners and Crop Grower group (ISCO 611) that also made up the largest number of farmers (92%). The subgroup of Field Crop and Vegetable Growers (ISCO 6111) contributed 93% of the total visits in ISCO 611 and 85% of all injuries in agriculture. This subgroup also contributed the largest total cost across all of Thai agriculture (68%), largely because this group includes most rice farmers because rice is the most widely grown crop for domestic consumption and export [22]. In terms of per capita cost, animal producers and livestock handlers suffered more severe injuries, resulting in a higher per cost visit ($86 USD per visit) compared to $22–$42 USD per visit for other types of farming (Table 1).
The cost of occupational illnesses
The largest number of occupational illness diagnoses came from Musculoskeletal Disorders (MSD), at 65,940 visits (81%). MSDs also represent the greatest total cost for medical treatment, $11.9 million (Table 2). Hearing loss was then the second most commonly diagnosed occupational disease but contributed only 19% of visits and medical costs (Table 2). As with injuries, the largest number of visits for occupational illnesses was in the Market Gardeners and Crop Grower group (ISCO 611) with the subgroup of Field Crop and Vegetable Growers (ISCO 6111) contributing 98% of all visits and medical treatment costs in agriculture.
Table 2.
Agricultural occupations | # MSD visits | # Hearing loss visits | Total visits | Total cost ($ USD) |
---|---|---|---|---|
6111: Field Crop and Vegetable Growers | 65,094 | 14,525 | 79,619 | 14,331,420 |
6112: Tree and Shrub Crop Growers | 72 | 178 | 250 | 45,000 |
6113: Gardeners; Horticultural and Nursery Growers | 12 | 61 | 73 | 13,140 |
6114: Mixed Crop Growers | 75 | 127 | 202 | 36,360 |
612: Animal producers | 538 | 7 | 545 | 98,100 |
621: Forestry and Related workers | 69 | 25 | 94 | 16,920 |
631: Subsistence Crop Farmers | 80 | 259 | 339 | 61,020 |
Total cases | 65,940 | 15,182 | 81,122 | 14,601,960 |
Total cost ($US) | 11,869,200 | 2,732,760 | 14,601,960 | 14,614,560a |
Note Exchange rate: THB 32 = 1 US$ (Bank of Thailand)
aThere were additional costs from Heat stroke and organic solvent poisoning added to the total: (i) 36 heat stroke cases which cost $6480 (32 in field crops and vegetable growers; 1 in Tree and Shrub Crop Growers, 3 in Animal Producers), (ii) 34 organic solvent poisoning cases which cost $6120 (27 in crops and vegetable growers, 1 in Mixed Crop Growers, 1 in Animal Producers, 5 in Subsistence Crop Growers)
When examining the 13,955 cases of pesticide poisoning by type of pesticide used, we found that the highest number of cases was for organophosphate and carbamate insecticides. The largest per case and total treatment cost was for medical treatment of poisoning by herbicides and fungicides at $41 per case, compared to $7–$22 for poisoning by other types of pesticides (Table 3).
Table 3.
Code | Types of pesticide | Number of cases | Cost of medical treatment ($USD) | Cost per case ($ USD) |
---|---|---|---|---|
T600 | Organophosphate and carbamate insecticides | 4562 | 72,302 | 16 |
T601 | Halogenated insecticides | 438 | 2980 | 7 |
T602 | Other insecticides | 1526 | 10,494 | 7 |
T603 | Herbicides and fungicides | 2597 | 105,493 | 41 |
T604 | Rodenticides | 214 | 4693 | 22 |
T608 | Other pesticides | 1012 | 15,938 | 16 |
T609 | Pesticide, unspecified | 3606 | 24,491 | 7 |
Total | 13,955 | 236,390 | 17 |
Note Exchange rate: THB 32 = 1 US$ (Bank of Thailand)
Total medical costs of occupational injury and illness (OIIs)
We estimated the total medical costs of all OIIs paid for by the Thai UCHS to be US$51 million USD, which is 0.2% of the GDP of the Thai agricultural sector ($19,709 million USD in 2017) (Table 4) [23]. In Thailand, farming is family-based agriculture that is labor intensive and minimally mechanized production of low-price commodities. If the cost of inputs such as seed, fertilizer, equipment, and pesticides were deducted from the agricultural GDP, the estimated annual income of each farmer would be even lower than the estimate of $1485 without those deductions. This estimated annual income is much lower than the overall Thai income (total GDP/Thai adult population) of $6729 [24].
Table 4.
Occupation and ISCO code | Total number of worker | Total number of visits | Number of total visits with injury (%) | Number of total visits with diseases (%) | Cost of injury | Cost of illness | Total cost | Cost per capita |
---|---|---|---|---|---|---|---|---|
($ USD) | ($ USD) | ($ USD) | ($ USD) | |||||
611: Market gardeners and crop growers | 12,235,856 | 1,637,676 | 1,557,471 (95.1) | 80,205 (4.9) | 27,747,163 | 14,436,900 | 42,184,063 | 3.45 |
612: Animal producers | 456,736 | 70,323 | 69,774 (99.2) | 549 (0.8) | 6,019,350 | 98,820 | 48,302,233 | 105.76 |
621: Forestry, Fishery and Aquaculture Workers | 66,220 | 7770 | 7,676 (98.8) | 94 (1.2) | 172,213 | 16,920 | 189,133 | 2.86 |
631: Subsistence Crop Farmers | 514,708 | 70,078 | 69,734 (99.5) | 344 (0.5) | 2,929,701 | 61,920 | 2,991,621 | 5.81 |
Total | 13,273,520 | 1,785,847 | 1,704,655 (95.5) | 81,192 (4.5) | 36,868,427 | 14,614,560 | 51,482,987 | 3.88 |
Note Exchange rate: THB 32 = 1 US$ (Bank of Thailand)
The estimated average cost per farmer of all OIIs was $3.88USD (Table 4). If this cost were not absorbed by the UCHS, farmers would have had to spend an average of 0.2% of their annual income for medical costs to treat their OIIs. Animal producers suffer more expensive injuries compared to other farmers, largely from handling livestock. If their medical costs were not absorbed by the UCHS, they would have had to spend an average of 7% of their annual income for medical treatment of OIIs.
Discussion
This is the first report on the number and medical treatment costs of occupational injuries and illnesses in the Thai agricultural sector. Other reports on OIIs have used data from the Workers Compensation System, which are only available for formal sector employees. This study is unique in using UCHS data to identify 1,704,655 occupational injuries among agricultural workers for 2017 (Table 1), different than the 17,481 agricultural injuries (16.9% of all injuries) reported to the National Injury Surveillance System of Thailand from 2002 to 2010 [25]. Clearly, Thailand sorely needs a robust system of OII data collection and surveillance for all informal sector workers.
Occupational injuries in Thai agriculture
The ISCO sub-code of 6111 (Field, Crop, and Vegetable Growers) had the largest number of visits and medical costs for occupational injuries (Table 1). The risks of injury among small family farmers growing crops such as rice, sugarcane, fruits, vegetables, and other field crops, result from the wide range of activities and equipment used during land preparation, planting, cultivation, and harvesting [26, 27]. Animal producers and livestock handlers suffered more severe injuries, as evidenced by higher per visit medical costs for injuries (Table 1). Others have also identified animal handling for its high health and safety risks [28, 29].
Occupational illnesses in Thai agriculture
Musculoskeletal Disorders (MSDs) have previously been reported as a common problem in Thai agriculture [26]. This, however, is the first study to estimate the annual medical costs attributed to MSDs (over $11.8 million), or about 28% of the total medical cost of all agricultural OIIs. In the U.S., MSD cases accounted for 31% of all worker injury and illness cases reported by U.S. Bureau of Labor Statistics [30].
Hearing loss has also been identified as a hazard in Thai agriculture, with a prevalence of up to 88% in some farming populations [31]. Exposures to ototoxicants such as pesticides may also play a role in the high prevalence of hearing loss [32]. The 15,182 cases identified in 2017 (Table 2) highlight the need for education about hearing protection and the provision of hearing protection devices to Thai farmers.
Although others have reported the problem of pesticide poisoning among those who mix or apply pesticides in Thai agriculture [8, 26], it appears that, like the imports of pesticides into Thailand [33], poisoning cases are increasing. In 2015, the estimated number of pesticide poisoning cases was 10, 177 [19] compared to the 13,995 cases we reported (Table 3). This is the first study to estimate the annual medical treatment costs attributable to pesticide poisoning (over a quarter of a million USD). We do not know the reason that the medical treatment costs for herbicide and fungicide poisoning are higher per case than for other pesticide poisoning cases. However, on June 1, 2020 the Thai government put in place bans on the use of the highly toxic herbicide paraquat and the insecticide chlorpyrifos and restricted the use of the herbicide glyphosate.
The UHCS rely on the primary care staff (most often a bachelor’s level nurse or public health officer) to identify occupational illnesses. The difficulty in diagnosing occupational illnesses without more extensive training may be reflected in the low number of occupational illness visits (3%) relative to injuries (97%) in our data. In addition, it is difficult to link occupational exposures to illness with a latency period between exposure and illness [25]. In the U.S., Occupational Safety and Health Act recordable occupational illnesses are also a small fraction of all OIIs and are believed to be under-reported [34].
Addressing the Medical Costs of Treating occupational injury and illness (OIIs)
Establishing the cost associated with OIIs is essential for strategic planning by governments to enable them to allocate scare resources and put in place adequate prevention measures. The cost estimates for OIIs available for this paper are based solely on medical treatment costs.
In the economies of high resource countries in the West, the most important cost element for OIIs is not the medical treatment cost, but the immediate lost work time and productivity, plus the “lost return on investment in human capital” when a fatality or disability results in the inability to continue the job [35]. Such information is not available in Thailand for the informal sector, although some of it is available for the formal sector from the Workers Compensation system. Nevertheless, the medical cost estimates presented here do reflect a cost shifting of occupationally related healthcare costs to the national healthcare system.
Prevention strategy
Thai farmers are currently covered under the Ministry of Labor’s Department of Labor Protection and Welfare “Guidance on Occupational Safety, Health and Environment for Informal Workers, 2013” [36]. Under this guidance, all informal workers, must promote safety and health at their own workplaces and meet all applicable standards. The government does not have a mechanism for the effective enforcement of this guidance nor a means to provide occupational safety and health support services to the informal sector. Thai regulations do not require the government agency or farmers to implement comprehensive OIIs prevention programs in agriculture.
Currently, the UHCS budget mainly covers medical treatment costs rather than prevention programs for OIIs. We recommend a re-allocation of a portion of the OII treatment costs enumerated here to providing agricultural workers with the critical components of prevention programs: hazard identification and remediation, training, and personal protective equipment. The Ministry of Public Health and the Ministry of Labor might develop safety programs that provide incentives for subsidizing the use of safely guarded machinery for farmers; training in sustainable and organic alternatives; subsidized personal protective equipment and additional training requirements before licensure for pesticide purchase. Outreach agricultural occupational safety and health training programs need to be set up around the country, in every district and sub-district, to reach agricultural workers in the remote rural areas. Prevention programs and subsidized using medical treatment funds could reduce OIIs and improve productivity.
Limitations
Our study used Health Data Center data from 2017 resulting in an underestimate of current OII costs, as Universal Health Care System (UHCS) costs have increased over time. Due to the lack of adequate training and limited interest from the UHCS, many OIIs may not have been put into the proper Diagnostic Related Group. The determination that an illness was work related was not verified by the Bureau of Occupational and Environmental Disease and might be an over or under estimate. With regard to OII medical costs, our study assumed that the costs of medical treatment for most occupational illnesses were the same as the most frequent DRG category claim (DRG 04520: respiratory infection or inflammation without important cost and clinical complexity). Due to lack of data, these OII cost estimates represent only direct medical expenses. Because the number of days away from work or the number of days of job transfer or restriction is not available for informal workers, we do not include the other costs to workers and the economy due to daily lost productivity or income.
Future direction
The U.S. Bureau of Labor Statistics conducts an annual Survey of Occupational Injuries and Illnesses that generates estimates of nonfatal workplace injury and illness rates. U.S. law requires agricultural businesses with more than 10 employees to participate in the surveys. This type of OII data collection process does not exist in Thailand and even in the U.S., information on OIIs in the informal sector is difficult to obtain. Therefore, in 1990, the U.S National Institute for Occupational Safety and Health developed the National Agricultural Workers Survey, a periodic surveillance program of nonfatal injuries to hired workers on U.S. crop farms, regardless of worker immigration status [37].
Thailand needs data collection tools and a database that can measure OII, lost income and workdays, and lost productivity for informal sector workers. It should be developed by the National Statistical Office of Thailand in collaboration with Ministry of Public Health and the Ministry of Labor. If collected through UCHS it will require sufficient training for healthcare personnel to classify an injury or illness as work related. It is important that family members who are injured on a family-owned farm, especially children, should be classified as having an OII. In addition, a method is needed to indicate that a family member was living on a family-owned farm, but not working at the time of exposure to a farm hazard that caused an injury or illness (pesticides, farm animals, farm tools) [38].
Alternatively, the Ministry of Agriculture or Ministry of Labor might develop a nationwide surveillance system to collect demographic, employment, and health and safety data in face-to-face interviews. Ideally, this would involve direct collection of data on working conditions, injuries and illnesses, and especially lost time, lost income and productivity, and related costs for the workers and their dependents. The timing of data collection should reflect the seasonality of agricultural production and employment. Better data on OIIs and the true costs, beyond medical treatment, including lost worktime and productivity, will provide incentives for changes in government policies to reduce UCHS expenditures and improve national agricultural productivity. Detailed information about the sources and nature of OIIs (crops, seasons, tools, activities) will aid efforts to target occupational health and safety training and interventions.
Acknowledgements
Funding for this project was provided by the Fogarty International Center and the National Institute of Environmental Health Sciences of the U.S. National Institutes of Health, and by the National Institute for Occupational Safety and Health of the U.S. Centers for Disease Control and Prevention, under a Grant from the Global Environmental and Occupational Health: [U01 TW010091 and U2RTW010088]. We thank the Thai Ministry of Public Health for its cooperation in obtaining the UCHS data.
Biographies
Densak Yogyorn
PhD, is a Lecturer at the Department of Occupational Health and Safety, Faculty of Public Health, Mahidol University, Bangkok, Thailand.
Craig Slatin
Sc.D., is a Professor Emeritus at the Department of Public Health, University of Massachusetts, Lowell, Massachusetts, USA.
Somkiat Siriruttanapruk
M.D., PhD. (Occupational health), is a Senior Expert in Preventive Medicine (Occupational health) at the Bureau of Occupational and Environmental Disease, Ministry of Public Health, Nonthaburi, Thailand.
Susan Woskie
PhD, is a Professor Emeritus Occupational and Environmental Hygiene at the Department of Public Health, University of Massachusetts, Lowell, Massachusetts, USA.
Thanawadee Chantian
MD, MPH, is a Medical epidemiologist at the Bureau of Occupational and Environmental Disease, Ministry of Public Health, Nonthaburi, Thailand.
Pusanisa Chaladlerd
B.Sc, is a Public Health Technical Officer at the Bureau of Occupational and Environmental Disease, Ministry of Public Health, Nonthaburi, Thailand.
Pornpimol Kongtip
PhD, is a Professor at the Department of Occupational Health and Safety, Faculty of Public Health, Mahidol University, Bangkok, Thailand.
Footnotes
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