| Literature DB >> 34154562 |
Julia Z Xu1,2, Wilaslak Tanongsaksakul3, Thidarat Suksangpleng4, Supachai Ekwattanakit4, Suchada Riolueang4, Marilyn J Telen5, Vip Viprakasit6,7,8.
Abstract
BACKGROUND: Thalassemia, an inherited hemoglobin disorder, has become a global public health problem due to population migration. Evidence-based strategies for thalassemia prevention in migrants are lacking. We characterized barriers to thalassemia screening and the burden of thalassemia in migrant workers in Thailand.Entities:
Keywords: Awareness; Cross-cultural comparison; Epidemiology; Genetic testing; Hemoglobin E; KAP survey; Migrants; Southeast Asia; Thailand; Thalassemia
Year: 2021 PMID: 34154562 PMCID: PMC8215823 DOI: 10.1186/s12889-021-11059-2
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Carrier rates (in %) for common hemoglobin disorders in Southeast Asiaa
| Country | α | α | β-thalassemia (%) | Hemoglobin E (%) |
|---|---|---|---|---|
| Brunei [ | 0 | 4.3 | 2–22.7 | 0–3.7 |
| Cambodia | 1 | 15.5 | 2.8 | 10–54 |
| Indonesia | < 1 | 3–20 | 3 | 1–33 |
| Laos [ | 8.7–13.9 | 11–17.7 | 3.5–5 | 22.9– > 30 |
| Malaysia | 4.5 | 16 | 4.5 | 1–3 |
| Myanmar | NA | 10 | 1–5.3 | 4–48 |
| Philippines | 5 | 2.2 | 1 | NA |
| Singapore | 2–3 | 1–3 | 0.93 | 0.64 |
| Thailand | 2.2–9 | 8–30 | 1–3 | 10–50 |
| Vietnam | NA | 3.5 | 4 | 10–20 |
“%” refers to the percentage of individuals affected (i.e. % carriers) within the population. NA Not available
a Adapted from Viprakasit et al., 2009 [10].
Fig. 1CONSORT flow diagram for surveys and thalassemia testing (the latter in gray). Thai, Myanmar, and Cambodian subjects of reproductive age (18–49 years old) presenting to Laem Chabang Hospital (LCH) were screened for eligibility. Those individuals who did not speak Thai, Burmese, or Khmer, or pregnant or with a pregnant partner by self-report, were excluded. Subjects were considered lost if they were approached by the study team and initially agreed to participate in the study, but subsequently left the hospital before completing the study without alerting the study team. Three subjects were lost prior to consent, 3 following consent and prior to starting the surveys, and 3 prior to completing the full demographic survey. Out of 200 Thai and 300 migrant subjects surveyed, 492 subjects completed the demographic survey. The KAP survey was completed by 155 Thai and 11 migrant subjects who were aware of thalassemia. Out of the 300 migrant subjects offered thalassemia testing, 286 were eligible for and 277 (96.9%) consented to thalassemia testing
Common α- and β-globin mutations identified using previously described multiplex PCR-based techniques [24].
| No. | Globin gene type | Mutation | Mutation type |
|---|---|---|---|
| 1 | α-globin | -α3.7 | Single deletion |
| 2 | -α4.2 | Single deletion | |
| 3 | - -SEA | Double deletion | |
| 4 | - -THAI | Double deletion | |
| 5 | - -FIL | Double deletion | |
| 6 | - -MED | Double deletion | |
| 7 | -(α)20.5 | Double deletion | |
| 8 | - -SIAM | Double deletiona | |
| 9 | Initiation codon (ATG > A-G) | Non-deletion | |
| 10 | Codon 30 (∆GAG) | Non-deletion | |
| 11 | Codon 59 (GGC > GAC) | Non-deletion | |
| 12 | Codon 142 (Pakse; TAA > TAT) | Non-deletion | |
| 13 | Codon 125 (Quang Sze; CTG > CCG) | Non-deletion | |
| 14 | Codon 142 (Constant Spring; TAA > CAA) | Non-deletion | |
| 15 | β-globin | nt −28 (A > G) | β+ |
| 16 | Codon 8/9 (+G) | β0 | |
| 17 | IVSI-5 (G > C) | β+ | |
| 18 | Codon 41/42 (−TTCT) | β0 | |
| 19 | Codon 71/72 (+A) | β0 | |
| 20 | Codon 17 (A > T) | β0 | |
| 21 | IVSI-1 (G > T) | β0 | |
| 22 | Codon 26 Hb E (GAG > AAG) | βE | |
| 23 | IVSII-654 (C > T) | β+ | |
| 24 | Codon 35 (C > A) | β0 | |
| 25 | Codon 43 (G > T) | β0 | |
| 26 | Codon 26 (G > T) | β0 | |
| 27 | Codon 95 (+A) | β0 | |
| 28 | Codon 19 (A > G) | β+ | |
| 29 | Codon 41 (−C) | β0 | |
| 30 | Codon 27/28 (+C) | β0 |
a The α-globin deletion - -SIAM was identified using the methodology described in Riolueang et al. 2019 [25].
Characteristics of the study population
| Thai | Myanmar | Cambodian | |
|---|---|---|---|
| ( | ( | ( | |
| Median Age (IQR), years | 32 (24–40) | 29 (24–36) | 30 (27–37) |
| Gender | |||
| Male (%) | 71 (36.0) | 43 (36.4) | 100 (56.8) |
| Female (%) | 126 (64.0) | 75 (63.6) | 76 (43.2) |
| Languages Spokena | |||
| Thai (%) | 196 (99.5) | 73 (61.3) | 133 (76.0) |
| Burmese (%) | 0 | 109 (91.6) | 7 (4.1) |
| Khmer (%) | 0 | 2 (1.7) | 168 (97.1) |
| English (%) | 49 (24.9) | 0 | 3 (1.7) |
| Mon (%) | 1 (0.5) | 7 (5.9) | 0 |
| Karen (%) | 0 | 9 (7.6) | 0 |
| Highest Level of Education Achieved | |||
| None (%) | 2 (1.0) | 18 (15.4) | 48 (27.4) |
| Primary, 1–6 (%) | 22 (11.3) | 53 (45.3) | 74 (42.3) |
| Secondary, 7–9 (%) | 58 (29.9) | 29 (24.8) | 41 (23.4) |
| Secondary 10–12 (%) | 58 (29.9) | 12 (10.3) | 11 (6.3) |
| Vocational (%) | 24 (12.4) | 0 | 0 |
| Bachelor’s degree and above (%) | 28 (14.4) | 3 (2.6) | 1 (0.6) |
| Work Sector | |||
| Fishery (%) | 2 (1.1) | 0 | 2 (1.2) |
| Manufacturing (%) | 63 (34.6) | 40 (36.0) | 75 (43.1) |
| Domestic (%) | 40 (22.0) | 37 (33.3) | 13 (7.5) |
| Construction (%) | 5 (2.8) | 8 (7.2) | 43 (24.7) |
| Other (%)b | 72 (39.6) | 26 (23.4) | 41 (23.6) |
| Median Duration in Thailand (IQR), years | NA | 6 (4.25–10) | 5 (3–6) |
| Median Number of Times Moved (IQR) | NA | 0 (0–2) | 0 (0–2) |
| Health Registration | |||
| First time (%) | NA | 28 (25.0) | 42 (24.1) |
| Renewal (%) | NA | 84 (75.0) | 132 (75.9) |
| Marital Status | |||
| Single (%) | 65 (33.9) | 32 (27.1) | 39 (22.7) |
| Married (%) | 114 (59.4) | 83 (70.3) | 127 (73.8) |
| Divorced (%) | 13 (6.8) | 3 (2.5) | 6 (3.5) |
| Nationality of Spouse if Married | |||
| Thai (%) | 111 (100) | 3 (3.6) | 5 (4.0) |
| Myanmar (%) | 0 | 75 (93.8) | 2 (1.7) |
| Cambodian (%) | 0 | 1 (1.3) | 113 (94.2) |
| Median Number of Children (IQR) | 2 (1–2) | 1 (0–2) | 2 (1–2) |
IQR Inter-quartile range, NA Not applicable
a Ethnic minority languages were reported by the Myanmar cohort, including Mon (5.9%), Karen (7.6%), and Chinese (0.8%), but not by the Thai or Cambodian cohorts
b The large majority of jobs in the “Other” category were reported to be sales-related, with job descriptions ranging from company salesmen to street vendors. Other job sectors included business, civil, and farming. Some subjects reported being students or freelance/self-employed
Comparison of thalassemia-related health literacy and health behaviors among Thai, Myanmar, and Cambodian subjects
| Thai | Myanmar | Cambodian | |
|---|---|---|---|
| ( | ( | ( | |
| First Point of Contact When Sick | |||
| Drug store (%) | 71 (37.6) | 47 (40.2) | 77 (44.8) |
| Doctor (%) | 115 (60.9) | 65 (55.6) | 88 (51.2) |
| Traditional healer (%) | 1 (0.5) | 3 (2.6) | 3 (1.7) |
| Other (%)a | 2 (1.1) | 2 (1.7) | 4 (2.3) |
| Median Number of Doctor Visits in 1 year (IQR) | 1 (0–3) | 0 (0–1) | 0 (0–2) |
| Method of Payment for Healthcare | |||
| Public Insurance (%) | 82 (44.1) | 37 (31.4) | 80 (46.2) |
| Employer Insurance (%) | 52 (28.0) | 29 (24.6) | 30 (17.3) |
| Private Insurance (%) | 18 (9.7) | 1 (0.9) | 1 (0.6) |
| Cash (%) | 19 (10.2) | 49 (41.5) | 53 (30.6) |
| Other (%)b | 15 (8.1) | 2 (1.7) | 9 (5.2) |
| Want to test self for thalassemia (%)c | 25 (62.5) | 67 (61.5) | 147 (86.5) |
| Want to test baby for thalassemia (%)c | 29 (72.5) | 77 (70.6) | 145 (86.8) |
| Want to test partner for thalassemia (%)c | 29 (78.4) | 81 (74.3) | 150 (88.8) |
| Best Method for Thalassemia Education | |||
| Consultation with doctor (%) | 26 (68.4) | 93 (86.9) | 144 (84.2) |
| Brochure (%) | 1 (2.6) | 8 (7.5) | 10 (5.9) |
| Employer workshop (%) | 1 (2.6) | 1 (0.9) | 2 (1.2) |
| Government workshop (%) | 5 (13.2) | 2 (1.9) | 5 (2.9) |
| Other (%)d | 5 (13.2) | 3 (2.8) | 10 (5.9) |
| Aware of Anemia (%) | 151 (80.3) | 23 (20.0) | 24 (13.7) |
| Aware of Thalassemia (%) | 156 (79.6) | 8 (6.8) | 4 (2.3) |
| Personal History of: | |||
| Anemia (%) | 31 (16.0) | 7 (6.0) | 7 (4.1) |
| Thalassemia (%) | 12 (6.2) | 0 | 3 (1.7) |
| Transfusion (%) | 13 (6.7) | 1 (0.9) | 10 (5.8) |
| Miscarriage (%) | 15 (7.9) | 8 (6.9) | 11 (6.4) |
| Family History of: | |||
| Anemia (%) | 34 (17.4) | 4 (3.5) | 9 (5.2) |
| Thalassemia (%) | 11 (5.7) | 1 (0.9) | 1 (0.6) |
| Transfusion (%) | 15 (7.8) | 2 (1.7) | 6 (3.5) |
| Miscarriage (%) | 17 (8.9) | 5 (4.4) | 8 (4.6) |
IQR Inter-quartile range
a Other preferred sources of medical care included on-site clinics provided by the employer in workplaces such as factories, or multiple sources of medical care were selected
b Other methods of payment include civil insurance and the selection of multiple sources of medical care
c Subjects unaware of thalassemia were asked whether they would want to test themselves, their babies, or their partners for an inherited disease, such as thalassemia
d Other preferred methods of education included mass media (television, internet), word of mouth (friends, employers, spouse), or multiple sources
Individual question responses and cumulative knowledge and attitude scores from the KAP survey
| Thai | Migrant | |
|---|---|---|
| ( | ( | |
| 1. Thalassemia is blood disease. | 94.8% | 72.7% |
| 2. Thalassemia is cause of anemia. | 87.7% | 81.8% |
| 3. Thalassemia is rare in Asia. | 72.3% | 27.3% |
| 4. Thalassemia is infectious disease. | 67.1% | 54.6% |
| 5. Thalassemia is inherited disease. | 91.0% | 72.7% |
| 6. Normal parents can have affected child. | 25.8% | 9.1% |
| 7. Carrier parents at risk for affected pregnancy. | 70.3% | 63.6% |
| 8. Blood test can be done. | 97.4% | 100.0% |
| 9. Thalassemia carrier requires transfusions. | 42.6% | 36.4% |
| 10. Thalassemia major requires transfusions. | 86.5% | 90.9% |
| 11. A carrier can develop thalassemia major. | 45.8% | 9.1% |
| 12. Can cure thalassemia with pill. | 60.7% | 45.5% |
| 13. Thalassemia should be prevented. | 4 (4–5) | 5 (5–5) |
| 14. Child with thalassemia is burden. | 3 (2–4) | 4 (2–5) |
| 15. Child with thalassemia is blessing. | 1 (1–2) | 1 (1–2) |
| 16. Want to know if having baby affected. | 4 (4–5) | 5 (4–5) |
| 17. Would get tested during pregnancy. | 5 (4–5) | 5 (5–5) |
| 18. Want partner tested during pregnancy. | 5 (4–5) | 5 (3–5) |
| 19. Have children with partner if both carriers. | 3 (2–4) | 1 (1–3) |
| 20. Would not want to know if baby affected. | 2 (1–4) | 1 (1–1) |
| 21. Testing during pregnancy not useful. | 3 (1–4) | 1 (1–5) |
| 22. Not have children with partner if both carriers. | 3 (2–5) | 1 (1–5) |
| 23. Would end pregnancy for thalassemia. | 3 (2–4) | 2 (1–5) |
| 24. Disagree with ending pregnancy. | 4 (3–4) | 5 (4–5) |
| 25. Would not prevent birth of affected baby. | 3 (3–4) | 5 (1–5) |
| 26. Better to end pregnancy than let child suffer. | 4 (3–4) | 3 (1–5) |
| 27. Subject tested for thalassemia. | 72 (46.8) | 3 (27.3) |
| 28. Partner tested for thalassemia. | 59 (38.3) | 1 (9.1) |
| 29. Had prenatal diagnosis (PND). | 53 (68.0) | 2 (66.7) |
| 30. PND showed affected baby. | 4 (7.6) | 1 (50.0) |
| 31. Plan to have more children. | 94 (62.7) | 8 (72.7) |
a The Knowledge Score was defined as the number of correctly answered knowledge questions (out of 12 possible points). The median Knowledge Score was higher in Thai vs migrant subjects (p = 0.002)
b The Attitude Score was defined as the mean value of 14 attitude questions scored according to the Likert scale (Strongly agree = 5 points, Agree = 4, Unsure = 3, Disagree = 2, and Strongly disagree = 1), with inverse questions scored in reverse. There was no statistical difference between median Attitude Scores among Thai vs migrant subjects (p = 0.21)
Allele frequencies of the most common hemoglobin variants identified in Thai vs. migrant cohorts
| Migrant | ||||
|---|---|---|---|---|
| Thai | Myanmar | Cambodian | Combined | |
| ( | ( | ( | ( | |
| ⍺3.7 | 0.080 | 0.182 | 0.179 | 0.181 |
| -⍺4.2 | 0.008 | 0.004 | 0.003 | 0.004 |
| - -SEA | 0.022 | 0.004 | 0.010 | 0.007 |
| - -THAI | 0 | 0 | 0.003 | 0.002 |
| Hb Constant Spring | 0.024 | 0 | 0 | 0 |
| Hb Pakse | 0.001 | 0 | 0.003 | 0.002 |
| βIVSI-1 | 0.001 | 0.012 | 0.003 | 0.007 |
| βCD17 | 0.002 | 0 | 0 | 0 |
| βCD71/72 | 0.0004 | 0.004 | 0 | 0.002 |
| βCD41/42 | 0.001 | 0 | 0 | 0 |
⍺- and β-globin genotypes identified in Thai and migrant cohorts in Chonburi, Thailand
| Disease Category | Genotype | Migrants | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Thai ( | Myanmar ( | Cambodian ( | Combined ( | ||||||
| N | % | N | % | N | % | N | % | ||
| Carriers of ⍺-globin variant | -⍺3.7/⍺⍺ | 126 | 10.2 | 34 | 28.1 | 30 | 19.2 | 64 | 23.1 |
| -⍺4.2/⍺⍺ | 13 | 1.1 | 1 | 0.8 | 0 | 0 | 1 | 0.4 | |
| -⍺3.7/−⍺3.7 | 4 | 0.3 | 2 | 1.7 | 1 | 0.6 | 3 | 1.1 | |
| -⍺3.7/−⍺4.2 | 1 | 0.1 | 0 | 0 | 1 | 0.6 | 1 | 0.4 | |
| -⍺3.7/⍺CS⍺ | 8 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0 | |
| - -SEA/⍺⍺ | 34 | 2.8 | 1 | 0.8 | 2 | 1.3 | 3 | 1.1 | |
| ⍺CS⍺/⍺⍺ | 35 | 2.8 | 0 | 0 | 0 | 0 | 0 | 0 | |
| ⍺PS⍺/⍺⍺ | 1 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| ⍺QZ⍺/⍺⍺ | 1 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Carriers of β-globin variant | βE/β | 186 | 15.1 | 10 | 8.3 | 29 | 18.6 | 39 | 14.1 |
| βD/β | 3 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | |
| βIVSI-1/β | 1 | 0.1 | 1 | 0.8 | 1 | 0.6 | 2 | 0.7 | |
| βIVSII-654/β | 1 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| βCD17/β | 5 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | |
| βCD71/72/β | 1 | 0.1 | 1 | 0.8 | 0 | 0 | 1 | 0.4 | |
| βCD41/42/β | 1 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| βCD27/28/β | 1 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| β−28/β | 1 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| β-3.48/β | 2 | 0.2 | 1 | 0.8 | 0 | 0 | 1 | 0.4 | |
| Double heterozygous carriers | -⍺3.7/⍺⍺ + βE/β | 28 | 2.3 | 2 | 1.7 | 18 | 11.5 | 20 | 7.2 |
| -⍺4.2/⍺⍺ + βE/β | 6 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | |
| -⍺3.7/−⍺3.7 + βE/β | 5 | 0.4 | 0 | 0 | 2 | 1.3 | 2 | 0.7 | |
| - -SEA/⍺⍺ + βE/β | 8 | 0.6 | 0 | 0 | 1 | 0.6 | 1 | 0.4 | |
| - -THAI/⍺⍺ + βE/β | 0 | 0 | 0 | 0 | 1 | 0.6 | 1 | 0.4 | |
| ⍺CS⍺/⍺⍺ + βE/β | 5 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | |
| ⍺PS⍺/⍺⍺ + βE/β | 0 | 0 | 0 | 0 | 1 | 0.6 | 1 | 0.4 | |
| -⍺3.7/⍺⍺ + βD/β | 1 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| -⍺3.7/⍺⍺ + βCD41/42/β | 1 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| -⍺3.7/⍺⍺ + βCD35/β | 1 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| -⍺3.7/⍺⍺ + β−28/β | 1 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| -⍺3.7/⍺⍺ + βIVSI-1/β | 0 | 0 | 2 | 0.8 | 0 | 0 | 2 | 0.7 | |
| -⍺3.7/⍺⍺ + βCD110/β a | 0 | 0 | 1 | 0.8 | 0 | 0 | 1 | 0.4 | |
| ⍺CS⍺/⍺⍺ + βIVSI-1/β | 1 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Homozygous Hb E (with/without ⍺-thalassemia) | βE/βE | 25 | 2.0 | 0 | 0 | 3 | 0.2 | 3 | 1.1 |
| -⍺3.7/⍺⍺ + βE/βE | 4 | 0.3 | 1 | 0.1 | 1 | 0.1 | 2 | 0.7 | |
| -⍺3.7/−⍺3.7 + βE/βE | 1 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| ⍺CS⍺/⍺⍺ + βE/βE | 3 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Hb H disease (with/without ⍺-thalassemia) | - -SEA/−⍺3.7 | 6 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 |
| - -SEA/⍺CS⍺ | 3 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | |
| - -SEA/⍺CS⍺ + βE/β | 1 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| - -SEA/⍺WM⍺ + βE/β | 1 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Compound heterozygous β-thalassemia | βCD41/42/βE | 1 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 |
| Other ⍺-thalassemia diseases | ⍺CS⍺/⍺CS⍺ | 1 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 |
| ⍺CS⍺/⍺PS⍺ + βE/β | 1 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| ⍺ triplication | 5 | 0.4 | NT | NT | NT | NT | NT | NT | |
| ⍺ triplication + βE/β | 6 | 0.5 | NT | NT | NT | NT | NT | NT | |
NT Not tested, CS Constant Spring, PS Pakse, QZ Quang Sze, WM Westmead
a βCD110 is also known as Hb Showa-Yakushiji
Comparison of estimates of affected newborns with thalassemia disease for Thai populations and migrant workers
| Thai (Current study) | Thai (Hockham et al., 2019) [ | Thai (Fucharoen et al., 2014) [ | Myanmar (Current study) | Cambodian (Current study) | |
|---|---|---|---|---|---|
| Hb Bart’s hydrops fetalis | |||||
| • Affected newborns (cases/1000 birth/year) | 0.462 | N/A | N/A | 0.017 | 0.164 |
| • Affected newborns in Thailanda (cases/year) | 335 | 423 (CI: 184–761) | 833 | < 1 (0.18) | < 1 (0.23) |
| Hb H disease (all) | |||||
| • Affected newborns (cases/1000 birth/year) | 4.885 | N/A | N/A | 1.525 | 4.759 |
| • Affected newborns in Thailanda (cases/year) | 3540 | 3172 | 5600 | 16 | 7 |
| • Deletional Hb H disease (cases/year) | 2742 | 2674 (CI:1296–4491) | N/A | 16 | 7 |
| • Non-deletional Hb H disease (cases/year) | 798 | 498 (CI:237–947) | N/A | 0 | 0 (0.1) |
| Homozygous β-thalassemia | |||||
| • Affected newborns (cases/1000 birth/year) | 0.202 | N/A | N/A | 0.615 | 0.010 |
| • Affected newborns in Thailanda (cases/year) | 146 | N/A | 207 | 7 | < 1 (0.01) |
| Hb E/β-thalassemia | |||||
| • Affected newborns (cases/1000 birth/year) | 3.618 | N/A | N/A | 2.872 | 1.231 |
| • Affected newborns in Thailanda (cases/year) | 2622 | N/A | 3213 | 31 | 2 |
| • Hb E/β+-thalassemia (cases/year) | 1126 | N/A | N/A | 5 | 0 |
| • Hb E/β0-thalassemia (cases/year) | 1496 | N/A | N/A | 26 | 2 |
NA Not available, CI 95% confidence interval
a Estimated numbers of births in Thailand in 2020 are 10,765 and 1418 for Myanmar and Cambodian migrant workers, respectively, and 724,587 for Thai population [28]