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Datasets:
fairhealth
/
bangladesh-dengue

Tasks:
Tabular Classification
Languages:
English
Bengali
Tags:
healthcare
dengue
bangladesh
public-health
clinical-ai
low-resource
DOI:
License:
Dataset card Data Studio Files
xet
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The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Failed to parse string: '25,986' as a scalar of type int64
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2255, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1804, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2095, in cast_array_to_feature
                  return array_cast(
                         ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1806, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1958, in array_cast
                  return array.cast(pa_type)
                         ^^^^^^^^^^^^^^^^^^^
                File "pyarrow/array.pxi", line 1135, in pyarrow.lib.Array.cast
                File "/usr/local/lib/python3.12/site-packages/pyarrow/compute.py", line 412, in cast
                  return call_function("cast", [arr], options, memory_pool)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Failed to parse string: '25,986' as a scalar of type int64
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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Age Group
string
Male
int64
Female
int64
Total
int64
0-5
9
10
19
06-10
7
10
17
11-15
6
2
8
16-20
10
7
17
21-25
15
15
30
26-30
9
22
31
31-35
10
17
27
36-40
9
15
24
41-45
8
11
19
46-50
17
13
30
51-55
10
9
19
56-60
12
8
20
61-65
13
6
19
66-70
5
7
12
71-75
3
7
10
76-80
6
2
8
80
4
0
4
Grand Total
153
161
314
null
null
null
null
0-5
844
629
1473
06-10
779
568
1,347
11-15
1,397
734
2,131
16-20
4,072
1,615
5,687
21-25
4,710
1,819
6,529
26-30
4,046
1,752
5,798
31-35
2,590
1,329
3,919
36-40
2,047
1,212
3,259
41-45
1,502
901
2,403
46-50
1,127
831
1,958
§1-55
970
565
1,535
56-60
746
513
1,259
61-65
513
282
795
66-70
327
199
526
71-75
159
60
219
76-80
83
7
160
80
74
28
102
Grand Total
25,986
13,114
39,100
0-5
0
3
3
06-10
1
2
3
11-15
2
1
3
16-20
4
4
8
21-25
9
5
14
26-30
8
6
14
31-35
4
6
10
36-40
3
5
8
41-45
1
4
5
46-50
9
6
15
51-55
1
4
5
56-60
5
2
7
61-65
6
2
8
66-70
2
4
6
71-75
1
1
2
76-80
1
0
1
80
1
0
1
Grand Total
58
55
113
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
0-5
9
7
16
06-10
6
8
14
11-15
4
1
5
16-20
6
3
9
21-25
6
10
16
26-30
1
16
17
31-35
6
11
17
36-40
6
10
16
41-45
7
7
14
46-50
8
7
15
51-55
9
5
14
56-60
7
6
13
61-65
7
4
11
66-70
3
3
6
71-75
2
6
8
76-80
5
2
7
80
3
0
3
Grand Total
95
106
201
0-5
1306
1032
2338
06-10
1047
835
1882
11-15
1161
669
1830
16-20
1771
1121
2892
21-25
2099
1324
3423
26-30
1906
1375
3281
31-35
1279
1022
2301
36-40
1131
913
2044
41-45
827
642
1469
End of preview.

Bangladesh Dengue Surveillance Datasets

Multi-source dengue datasets for Bangladesh, curated by Farjana Yesmin for the paper:

Yesmin, F. (2026). AI Chatbots for Dengue Symptom Triage in Bangladesh: A Decision Tree Classifier Approach. DASGRI 2026, Springer LNNS, London. ResearchGate

Part of the FairHealth library — pip install fairhealth

What Is Included

File Description Rows Columns
DGS_1.csv Age-group case distribution 2019 18 4
DGS_2.csv Age-group case distribution 2020 19 4
DGS_3.csv Age-group case distribution 2021 18 4
DGS_4.csv Age-group case distribution 2024 18 4
DGS_5.csv Age-group case distribution (subset) 18 4
DGS_6.csv Age-group case distribution 2022 18 4
Dengue_Dataset_of_Bangladesh.csv 1,000 patient records 1000 10
Dengue_Climate_Bangladesh.csv Climate-dengue correlation 2008-2022 134 7

Patient Dataset Features

Gender, Age, NS1, IgG, IgM, Area, AreaType, HouseType, District, Outcome

Climate Dataset Features

YEAR, MONTH, MIN_TEMP, MAX_TEMP, HUMIDITY, RAINFALL, DENGUE_CASES

Key Results

Decision Tree on non-leaky demographic features:

  • Accuracy: 0.79 | F1: 0.802 | AUC: 0.851
  • Age is dominant predictor (Gini importance: 0.686)
  • Confidence threshold P<0.70 routes to doctor
  • 75% user satisfaction in pilot study (n=50)

Data Sources

Usage 

from fairhealth.lowresource.triage import assess_dengue_risk

result = assess_dengue_risk(
    age=8, gender="male",
    area_type="urban", district="Dhaka",
    language="bangla"
)
print(result["recommendation"])

Citation

If you use this dataset, please cite:

@dataset{fairhealth_dengue_2026,
  author    = {Yesmin, Farjana},
  title     = {Bangladesh Dengue Surveillance Datasets},
  year      = {2026},
  publisher = {Hugging Face},
  doi       = {10.57967/hf/8800},
  url       = {https://huggingface.co/datasets/fairhealth/bangladesh-dengue}
}

Also cite the associated paper:

@inproceedings{yesmin2026dasgri,
  author = {Yesmin, Farjana},
  title  = {AI Chatbots for Dengue Symptom Triage in Bangladesh},
  note   = {DASGRI 2026, Springer LNNS},
  year   = {2026}
}
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