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Data in Brief logoLink to Data in Brief
. 2019 Mar 20;24:103868. doi: 10.1016/j.dib.2019.103868

Compendium of hand, foot and mouth disease data in Malaysia from years 2010–2017

Bryan Raveen Nelson a,, Hisham Atan Edinur b, Mohd Tajuddin Abdullah a,c,∗∗
PMCID: PMC6441719  PMID: 30976640

Abstract

This data article is constructed using information from hand, foot and mouth disease outbreaks in every Malaysian state. Important information like total number of cases from every state and age group, humidity, air temperature and wind as well as types of viruses isolated from patients infected with hand, foot and mouth disease were gathered and sorted into four tables. The information sources include Malaysian Administrative Modernisation and Management Planning Unit (MAMPU), National Centre for Biotechnology Information (NCBI) and National Oceanic and Atmospheric Administration (NOAA). Since the Ministry of Health Malaysia only begun archiving hand, foot and mouth disease cases between years 2010–2017 in MAMPU, weather data extractions are following the similar timeline. Conversely, published data on viruses and their serotypes associated to hand, foot and mouth disease were extracted from NCBI but, data availability were limited between the years 2010 and 2014.


Specifications table

Subject area Medicine and Dentistry
More specific subject area Infectious disease
Type of data Table
How data was acquired Data mining from web portals of Malaysian Administrative Modernisation and Management Planning Unit, National Centre for Biotechnology Information and National Oceanic and Atmospheric Administration
Data format Raw
Experimental factors Cases (number of infected by hand, foot and mouth disease) were arranged into age category, Malaysian states, months and years. Weather properties (temperature, humidity and wind) were arranged into monthly and yearly data. Viruses associated with hand, foot and mouth disease were arranged by serial numbers, serotypes, Malaysian states, months and years.
Experimental features Reported cases of hand, foot and mouth disease, viral serotypes, weather conditions during outbreaks, published nucleotide sequences, keywords used, authenticity of data source and human error during calculations.
Data source location National Oceanic and Atmospheric Administration
-Weather stations a) Pulau Pinang (Bayan Lepas) – N 05°17′59″, E 100°15′37″
b) Melaka (Jalan Kota Laksamana) – N 02°11′45″, E 102°14′25″
c) Sarawak (Kuching International Airport) – N 01°29′04″, E 110°20′48″
-Web portalshttp://tgftp.nws.noaa.gov
http://www.data.gov.my
https://www.ncbi.nlm.nih.gov
Data accessibility All data are available in this article
Related research articles N.K.A. Khalib, N.J. Shafie, H.H. Basri, B.R. Nelson, M.T. Abdullah, Non-volant small mammal data from fragmented forests in Terengganu State. Data Brief 21 (2018) 1514–1520.
Value of the data
  • Outbreak raw data is tangible for disease etiology and its emergence in Southeast Asia.

  • Virulence data are useful for descriptive epidemiology like secular trends, seasonality, epidemic period, geography and person attributes (disease-age and disease-scale) relationships.

  • The data raises awareness, informs about susceptibility within the community and also informs about phenotypic changes.

  • This data supports disease model framing in tropical environments.

  • Data on monthly-annual and geographical trends supports development of public health policies.

1. Data

All data in this article were mined from web portals like MAMPU [1], NCBI [2] and NOAA [3]. While year-round weather data (temperature, humidity and wind) were not available for all states, strategic location of Melaka, Pulau Pinang and Sarawak made them ideal to cover the Malaysian Peninsular and Borneo. This data is prepared as monthly average [4] and presented from years 2010–2017 (Table 1). Historical records for hand, foot and mouth disease were retrieved from MAMPU, reorganized into monthly and annual pools before divided into annual age- (Table 2) and case-groups (Table 3). Data comprising of hand, foot and mouth disease associated viruses were extracted from NCBI before separated by collection dates, serotypes and nucleotide codes (Table 4).

Table 1.

Weather data by monthly average between years 2010 and 2017 for the Malaysian states Pulau Pinang, Melaka and Sarawak.

Month-Year Pulau Pinang
Melaka
Sarawak
Temp. (°C) Humid. (%) Wind. (km/h) Temp. (°C) Humid. (%) Wind. (km/h) Temp. (°C) Humid. (%) Wind. (km/h)
Jan-10 28.3 74.2 7.5 27.3 73.3 8.9 26.0 74.9 6.3
Feb-10 29.4 75.8 7.4 28.5 74.3 9.0 26.6 76.2 6.4
Mar-10 29.1 76.4 7.5 28.3 75.2 7.4 26.5 75.8 6.3
Apr-10 29.2 78.2 6.8 28.3 76.6 5.9 27.2 76.3 6.2
May-10 29.5 78.7 6.3 28.6 77.4 5.4 27.6 77.0 6.1
Jun-10 28.2 77.1 6.2 28.0 76.0 5.4 27.3 75.3 5.9
Jul-10 27.8 76.0 6.8 27.4 75.2 5.2 26.4 75.1 6.4
Aug-10 28.3 76.8 6.8 27.3 75.3 5.6 26.6 74.5 6.4
Sep-10 27.8 76.3 6.6 27.3 75.3 5.1 26.5 74.4 6.1
Oct-10 28.2 76.4 5.8 28.0 75.2 5.4 26.6 74.5 7.0
Nov-10 27.2 76.3 6.4 27.2 74.9 5.8 26.3 74.7 6.6
Dec-10 26.5 75.0 6.4 26.4 74.2 5.7 25.8 74.1 6.2
Jan-11 27.1 73.1 7.0 25.8 73.0 7.3 25.6 73.9 6.5
Feb-11 28.1 74.5 7.4 27.4 73.5 7.9 25.9 74.2 6.4
Mar-11 27.1 75.9 6.5 27.3 74.7 6.4 26.3 74.3 6.4
Apr-11 28.1 76.7 6.5 27.8 75.5 6.0 26.6 75.4 6.4
May-11 28.3 77.4 5.8 28.1 76.5 5.1 26.9 75.7 6.2
Jun-11 28.5 76.9 6.3 27.9 76.7 5.4 26.8 75.1 6.1
Jul-11 28.3 76.6 7.0 27.7 76.0 6.0 27.0 74.8 6.1
Aug-11 27.5 76.1 6.9 27.5 75.7 5.9 27.2 75.3 6.4
Sep-11 27.5 76.2 6.4 27.4 75.8 5.5 26.8 75.1 6.6
Oct-11 27.3 76.6 6.2 27.1 75.6 5.5 26.2 75.3 6.1
Nov-11 27.2 76.1 6.6 26.9 75.8 5.6 26.5 75.2 6.9
Dec-11 27.5 74.5 7.2 26.4 74.9 5.8 26.2 75.4 6.7
Jan-12 27.9 74.2 7.0 27.0 74.4 6.2 26.1 74.8 6.9
Feb-12 28.0 76.1 7.4 27.2 75.4 6.2 26.0 74.7 6.2
Mar-12 27.7 76.2 6.3 27.4 75.8 5.4 26.4 75.1 6.2
Apr-12 28.1 77.2 6.5 27.7 76.4 5.6 26.9 75.5 6.6
May-12 28.2 77.2 5.9 28.0 76.6 5.3 27.7 76.0 6.3
Jun-12 28.7 77.4 6.3 28.2 76.5 5.7 27.6 74.8 6.4
Jul-12 27.9 76.0 7.1 27.3 75.9 5.4 26.8 75.0 6.2
Aug-12 28.2 75.4 6.9 27.4 75.9 5.7 27.1 75.1 6.2
Sep-12 27.5 75.0 6.5 27.7 76.1 5.5 27.5 74.9 6.2
Oct-12 27.5 75.6 6.3 27.5 75.7 5.1 26.5 75.1 6.5
Nov-12 27.6 75.3 6.1 26.9 76.0 4.8 26.5 74.9 6.2
Dec-12 27.6 74.4 7.1 26.8 75.6 4.9 26.5 75.0 6.2
Jan-13 28.1 74.8 6.9 27.2 74.7 5.8 26.7 74.9 7.0
Feb-13 27.8 75.1 7.4 26.5 74.8 5.5 26.6 75.1 6.6
Mar-13 29.3 77.9 7.0 28.5 76.6 5.7 27.5 75.5 6.9
Apr-13 28.8 77.7 6.4 28.5 77.4 5.1 27.2 76.0 6.9
May-13 29.3 77.7 6.6 28.3 77.2 4.9 27.2 76.4 6.7
Jun-13 28.8 76.8 6.2 28.8 75.8 5.6 27.7 74.8 6.7
Jul-13 28.3 76.4 5.9 27.6 75.4 5.2 27.0 73.6 7.1
Aug-13 28.1 76.2 7.2 27.7 75.4 5.8 27.2 74.0 7.6
Sep-13 27.8 76.2 6.4 27.3 75.3 5.5 26.7 74.7 7.1
Oct-13 27.3 75.7 6.4 27.5 75.4 6.0 26.7 74.6 7.4
Nov-13 27.8 76.2 6.4 27.3 75.8 5.4 26.2 74.6 6.9
Dec-13 28.1 74.9 7.7 26.7 74.6 7.5 26.1 75.2 7.6
Jan-14 27.9 70.8 8.4 26.4 71.9 9.9 25.4 72.9 7.5
Feb-14 28.6 73.5 8.0 27.9 72.6 10.0 26.5 73.7 6.9
Mar-14 29.4 75.7 8.0 28.1 73.7 8.6 26.7 74.9 6.6
Apr-14 28.7 78.1 6.8 28.2 76.6 5.3 26.9 75.4 6.7
May-14 28.6 78.2 6.5 28.4 77.2 5.4 27.6 76.7 6.4
Jun-14 29.4 79.0 6.8 29.0 77.3 5.6 28.2 76.8 6.2
Jul-14 29.0 77.7 6.2 28.2 76.8 5.2 28.5 75.1 6.8
Aug-14 27.7 76.5 7.3 27.3 76.1 5.7 26.7 74.4 6.4
Sep-14 27.9 76.4 7.0 27.5 75.5 5.4 27.2 73.9 7.3
Oct-14 27.9 76.8 7.0 27.8 75.9 5.4 26.9 74.3 6.5
Nov-14 27.9 76.7 7.1 27.1 75.9 5.4 26.6 74.8 7.0
Dec-14 27.2 74.8 7.0 26.7 75.3 5.9 26.5 74.4 6.4
Jan-15 27.9 72.3 7.6 26.7 72.8 8.5 25.6 73.5 7.2
Feb-15 28.7 72.1 8.2 27.4 72.7 9.3 25.9 73.8 6.6
Mar-15 28.8 75.2 7.4 28.1 75.2 6.9 26.9 74.3 6.7
Apr-15 28.7 77.9 6.5 28.4 77.7 5.3 27.4 76.1 6.6
May-15 28.4 77.4 6.3 28.3 77.3 5.2 27.3 76.0 6.6
Jun-15 28.8 77.3 6.6 28.6 77.8 5.6 28.6 75.7 6.6
Jul-15 27.7 76.0 6.5 28.1 76.7 5.7 27.2 75.2 6.5
Aug-15 27.7 75.7 6.2 28.0 77.3 5.7 27.7 75.7 6.6
Sep-15 26.7 73.7 6.4 28.1 76.7 4.6 27.4 75.7 5.9
Oct-15 26.4 73.8 6.9 27.5 77.0 4.9 26.7 75.9 6.2
Nov-15 26.7 73.5 6.6 27.6 76.9 5.8 26.8 76.1 6.6
Dec-15 27.8 72.5 7.4 28.2 76.7 7.4 27.2 76.6 6.4
Jan-16 28.1 73.3 7.3 28.5 77.0 7.7 27.2 76.8 6.4
Feb-16 28.1 72.0 8.8 27.9 75.0 9.5 26.6 76.3 6.9
Mar-16 29.1 74.9 7.5 29.3 75.4 8.5 27.2 77.0 6.3
Apr-16 29.1 75.5 6.7 29.6 77.6 6.1 27.6 76.8 6.8
May-16 28.0 75.6 6.6 28.9 77.7 5.2 27.5 76.1 6.3
Jun-16 28.5 74.9 6.5 28.2 76.6 5.3 26.9 75.2 6.5
Jul-16 28.5 76.2 3.5 28.0 76.1 3.2 27.6 74.9 3.4
Aug-16 28.4 76.3 6.0 28.6 76.4 4.9 27.7 74.9 7.1
Sep-16 28.0 75.7 6.5 28.3 75.9 5.6 26.9 74.4 7.7
Oct-16 27.5 76.3 5.7 28.3 75.8 6.1 26.8 75.0 7.3
Nov-16 27.5 76.7 6.4 27.3 76.4 5.1 26.7 75.3 6.6
Dec-16 27.5 75.5 6.6 27.3 75.6 5.6 26.8 75.4 6.9
Jan-17 27.3 74.7 6.7 27.0 75.1 5.6 26.7 75.3 6.2
Feb-17 28.0 73.3 7.6 27.1 74.8 6.8 26.3 74.1 6.8
Mar-17 28.0 75.9 6.6 27.4 75.6 5.6 26.9 74.8 6.4
Apr-17 28.2 76.5 6.5 28.0 76.4 5.0 26.6 75.4 6.6
May-17 28.8 77.9 6.9 28.2 76.7 4.9 27.3 76.3 6.5
Jun-17 28.7 76.5 6.6 27.9 75.9 4.7 27.2 75.3 6.2
Jul-17 28.5 76.8 6.7 28.1 75.8 5.2 27.3 74.7 6.6
Aug-17 28.1 76.1 7.2 27.5 75.5 5.0 27.0 74.6 6.3
Sep-17 27.6 76.1 6.5 27.5 75.3 4.8 27.0 75.3 6.3
Oct-17 28.3 75.8 6.6 27.8 75.8 5.1 26.9 74.9 6.8
Nov-17 27.5 76.1 6.4 27.1 75.8 5.2 26.9 75.6 6.4
Dec-17 28.0 73.3 7.5 27.2 74.5 6.5 26.6 75.3 6.9

Note: Weather data are abbreviated as ‘temp.’ to represent air temperature, ‘humid.’ to represent relative humidity and ‘wind.’ to represent wind speed. Weather of Pulau Pinang and Melaka represents Peninsular Malaysia whereas Sarawak represents Borneo.

Table 2.

Different age groups that contracted hand, foot and mouth disease in every Malaysian state between years 2010 and 2017.

Age group Johor Kedah Kelantan Melaka Negeri Sembilan Pahang Perak Perlis Pulau pinang Sabah Sarawak Selangor Terengganu Kuala Lumpur Labuan
Child
2010 974 880 164 237 327 234 657 89 1458 189 5037 1808 148 966 0
2011 486 274 105 262 189 112 229 31 546 88 2862 1160 72 354 2
2012 2257 1069 1342 768 741 351 1231 216 1543 1569 13212 6244 270 2448 323
2013 1816 737 387 352 660 217 822 207 1193 1548 8315 4998 164 1043 93
2014 2215 966 655 780 1006 233 1620 277 1436 545 9317 8679 393 2300 38
2015 2017 443 228 437 539 170 1056 86 738 1334 8553 4440 169 1274 315
2016 3974 1705 991 2172 1344 816 2695 577 2985 2533 6524 14327 803 3915 246
2017 2256 960 579 1100 895 484 1607 227 1486 1862 7105 7034 278 2276 268
Adolescense
2010 2 3 1 3 1 0 1 0 6 0 8 7 0 8 0
2011 0 0 0 2 0 0 0 0 5 0 11 5 1 2 0
2012 6 2 9 6 0 1 12 0 6 8 36 42 2 7 0
2013 4 1 1 2 0 0 11 0 4 9 39 35 1 5 1
2014 8 1 3 1 0 0 9 0 4 1 39 57 2 9 0
2015 1 1 1 0 0 0 15 0 2 3 44 43 1 9 4
2016 16 3 5 1 8 0 31 0 8 10 22 57 1 19 1
2017 11 1 2 5 3 0 20 0 11 11 34 46 1 12 1
Adult
2010 9 14 2 5 2 0 6 1 29 7 46 38 1 25 0
2011 14 10 7 4 1 3 8 1 21 5 74 42 2 9 0
2012 54 27 48 18 2 3 33 2 30 64 161 280 6 53 7
2013 20 6 12 6 5 0 40 3 8 52 168 284 8 47 5
2014 24 8 10 11 5 0 26 0 10 13 123 383 20 88 0
2015 23 4 4 6 3 1 49 0 18 47 151 272 3 70 7
2016 34 8 10 28 31 6 81 2 26 70 83 682 7 136 3
2017 38 5 6 11 25 1 49 1 55 54 90 366 2 71 5
Senior adult
2010 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
2011 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0
2012 1 1 0 0 0 0 0 0 0 0 2 5 0 1 0
2013 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0
2014 1 1 0 0 0 0 0 0 0 0 2 2 0 1 0
2015 0 0 0 0 0 0 0 0 0 0 1 4 0 0 1
2016 1 0 1 1 0 0 0 0 0 0 0 8 0 1 0
2017 1 0 0 2 0 0 0 0 1 0 0 1 0 0 0

Note: The age groups are classified as child = 0–14 years, adolescence = 15–19 years, adult = 20–59 years and, senior adult = 60 to >75 years.

Table 3.

Scale of hand, foot and mouth disease outbreaks in every state between years 2010 and 2017.

Month Johor Kedah Kelantan Melaka Negeri Sembilan Pahang Perak Perlis Pulau Pinang Sabah Sarawak Selangor Terengganu Kuala Lumpur Labuan
2010
Jan 26 28 7 11 9 6 11 6 46 1 450 72 3 24 0
Feb 49 23 12 14 8 4 35 2 50 0 704 41 4 24 0
Mar 61 37 8 11 7 8 44 6 100 1 1050 151 11 61 0
Apr 51 37 9 18 10 22 59 4 64 8 543 147 24 37 0
May 95 74 19 42 87 45 121 5 178 47 381 306 24 106 0
Jun 107 118 24 26 59 36 100 4 252 20 348 306 19 129 0
Jul 112 192 16 35 66 51 134 11 216 22 349 214 22 130 0
Aug 146 221 34 35 33 36 89 30 158 22 425 237 29 243 0
Sep 52 54 10 17 14 8 24 5 159 10 162 93 4 70 0
Oct 122 64 12 22 15 6 20 12 137 36 274 144 7 121 0
Nov 121 30 9 10 17 3 15 1 78 21 174 73 2 33 0
Dec 43 19 7 4 5 9 12 4 55 8 232 69 0 21 0
2011
Jan 12 9 2 3 8 3 9 2 35 1 6 24 2 5 0
Feb 14 4 5 4 5 9 13 1 38 0 34 27 4 30 0
Mar 17 9 4 14 13 7 14 1 34 1 233 75 2 3 2
Apr 41 3 5 6 18 6 11 1 25 1 128 83 7 10 0
May 26 11 0 25 9 13 15 2 51 0 109 110 2 4 0
Jun 40 15 2 21 13 7 39 3 24 1 125 50 1 31 0
Jul 114 16 3 22 18 2 5 2 37 3 126 78 3 28 0
Aug 51 13 2 52 15 6 19 3 30 2 277 72 3 7 0
Sep 28 21 5 13 13 2 12 1 20 3 259 43 12 0 0
Oct 59 73 8 33 28 20 30 5 47 11 404 155 25 99 0
Nov 44 60 23 22 31 14 46 11 95 7 483 256 6 86 0
Dec 54 50 53 53 19 26 24 0 137 64 763 235 8 62 0
2012
Jan 42 27 31 13 23 5 30 10 83 9 256 102 9 55 1
Feb 55 53 118 63 46 19 33 16 89 113 818 321 39 140 0
Mar 298 138 466 129 184 52 146 31 126 265 2698 1013 94 179 180
Apr 487 160 361 104 160 109 294 17 193 260 1263 1259 40 486 135
May 539 153 174 210 95 44 265 36 250 309 1060 1343 33 533 8
Jun 379 172 136 107 73 68 160 41 235 159 1837 950 15 583 0
Jul 172 117 64 66 54 26 79 21 179 94 1317 460 16 145 0
Aug 97 105 17 44 35 16 75 17 98 65 1080 296 6 72 0
Sep 86 76 7 23 27 7 68 3 127 112 1301 259 12 94 0
Oct 78 37 7 7 21 3 46 19 67 114 764 216 5 78 3
Nov 50 24 9 14 13 2 28 3 60 74 613 184 7 3 2
Dec 35 37 9 12 12 4 52 4 72 67 404 168 2 141 1
2013
Jan 51 28 21 18 18 4 36 6 24 32 683 184 7 91 3
Feb 77 37 24 41 30 12 45 5 32 76 1273 309 10 70 7
Mar 278 63 57 60 71 36 144 13 72 198 2105 726 30 126 10
Apr 178 66 38 41 63 12 107 14 76 304 1136 584 18 128 4
May 238 53 43 37 61 36 88 21 119 340 795 563 14 103 14
Jun 224 97 52 42 81 29 111 39 213 319 606 562 19 114 27
Jul 138 91 32 16 74 24 83 25 185 166 289 320 11 57 25
Aug 88 74 33 13 62 10 66 21 115 56 217 349 13 70 2
Sep 145 64 28 31 64 15 63 15 117 35 271 493 9 84 2
Oct 178 40 25 22 54 12 46 15 78 27 328 443 16 79 2
Nov 158 71 29 18 65 23 60 20 89 40 521 500 15 99 2
Dec 87 60 19 21 22 4 24 16 85 16 299 284 11 74 1
2014
Jan 47 51 28 47 23 18 80 17 75 16 368 298 26 89 1
Feb 68 87 28 83 37 32 114 29 32 36 677 469 44 80 0
Mar 295 101 80 89 88 20 266 62 101 116 1331 753 83 164 7
Apr 278 95 50 65 113 14 202 19 157 48 1208 781 32 193 1
May 271 104 46 91 125 25 226 28 253 54 1535 1000 11 353 0
Jun 132 73 23 43 43 20 75 28 132 35 858 400 15 143 1
Jul 88 41 28 33 57 12 64 13 73 46 669 197 15 60 1
Aug 91 45 51 26 59 18 65 4 49 48 665 393 26 106 3
Sep 130 64 55 46 113 16 103 10 54 31 628 659 34 174 0
Oct 278 76 84 64 97 19 104 18 109 37 455 964 42 259 7
Nov 317 133 121 122 161 15 180 23 209 55 599 1820 50 436 10
Dec 253 106 74 83 95 24 176 26 206 37 488 1387 37 341 7
2015
Jan 278 86 68 54 136 35 188 15 173 119 1348 1197 37 284 5
Feb 327 72 48 57 107 40 267 17 92 189 2264 783 31 172 25
Mar 254 42 29 80 83 26 158 10 73 229 2329 632 19 164 74
Apr 341 29 22 52 52 11 141 8 104 228 1348 581 15 183 63
May 277 58 14 32 46 4 111 12 74 196 849 470 17 138 62
Jun 105 18 8 24 27 8 58 10 41 100 312 192 15 65 12
Jul 68 22 4 10 19 5 22 2 15 55 100 138 3 37 7
Aug 129 26 6 37 16 8 43 6 40 44 74 207 1 63 15
Sep 82 21 10 33 14 2 28 1 29 39 38 132 4 44 23
Oct 91 23 7 30 13 14 42 3 62 58 36 142 6 71 24
Nov 51 24 8 23 21 10 19 2 42 90 35 133 15 63 14
Dec 38 27 9 11 8 8 43 0 13 37 16 152 10 69 3
2016
Jan 93 21 12 25 32 11 48 9 30 97 70 224 8 88 6
Feb 101 26 18 39 53 14 104 9 22 216 52 330 13 102 10
Mar 205 23 23 62 67 32 91 10 55 319 70 447 16 127 32
Apr 308 49 35 161 112 82 175 24 115 320 240 823 34 307 66
May 436 76 35 290 133 134 347 74 301 302 393 1750 72 486 27
Jun 440 160 58 224 270 113 271 62 348 140 707 1764 67 445 14
Jul 508 193 120 274 164 93 278 96 370 130 1235 1544 77 422 14
Aug 757 377 152 403 207 74 365 82 413 104 1313 2229 171 535 20
Sep 378 239 151 205 93 24 286 57 307 65 892 1352 120 329 9
Oct 388 255 175 201 125 96 326 59 349 169 623 1689 101 439 21
Nov 191 156 131 177 52 69 215 55 315 292 561 1383 74 351 8
Dec 220 141 97 141 75 80 301 42 394 459 473 1539 58 440 23
2017
Jan 255 158 101 94 94 67 252 26 263 508 823 1061 48 276 40
Feb 295 137 89 142 115 71 302 29 210 508 1363 1143 42 285 33
Mar 325 83 55 167 105 75 252 24 139 338 1831 951 30 259 36
Apr 307 108 49 145 106 51 202 21 146 167 1310 860 28 330 64
May 211 63 30 118 44 31 112 9 162 87 525 566 13 175 25
Jun 109 58 19 94 69 16 101 13 94 50 388 420 9 123 9
Jul 147 70 32 103 45 22 73 17 103 38 393 480 19 125 11
Aug 220 84 35 69 49 37 82 29 101 27 191 469 20 159 11
Sep 142 54 43 61 95 35 96 18 90 36 121 400 15 139 6
Oct 100 48 31 43 67 28 63 7 115 27 83 341 13 160 4
Nov 94 49 53 34 75 25 75 11 56 79 113 319 16 169 3
Dec 101 54 50 48 59 27 66 24 74 62 88 437 28 159 32

Table 4.

Types of viruses associated with hand, foot and mouth disease in Malaysia.

Johor Kedah Kelantan Melaka Pahang Pulau pinang Sarawak Selangor Terengganu Kuala Lumpur
2010
KC894870.1 (Apr) [4]
KC894871.1
KC894874.1 (May) [4]
KC894880.1 (Aug) [4]
KC894876.1 (Jul) [4] KC894886.1 (Apr 2012) [4] KC894877.1
KC894878.1
KC894879.1 (Aug) [4]
* KC894873.1 (May) [4] * KF734978.1
KP890662.1
KP890663.1 (Oct) [13]
KJ675505.1
KJ675507.1
KJ675506.1 (Nov) [13]
KC894872.1 (May) [4]
KC894875.1 (Jun) [4]
KC894881.1 (Sep) [4]
JQ356548.1
JQ356552.1
JQ356554.1 (Oct) [13]
JQ356547.1
JQ356551.1
JQ356560.1
JQ356571.1 (Nov) [11, 13]
JQ356564.1 (Dec) [13]
2011
* * * * KP205031.1 (Mar) [9]
KP205033.1 (May) [9]
KP205032.1 (Aug) [9]
KC894867.1 (Nov) [4]
* KC894868.1
KC894869.1 (Sep) [4]
KP890664.1 (May) [13] KC894865.1 (Sep) [4]
KC894866.1 (Oct) [4]
JQ356556.1
JQ356557.1 (Jan) [13]
JQ356558.1 (Feb) [13]
KP205031.1
JQ356563.1 (Mar) [9, 13]
Q356555.1 (Apr) [13]
KP205033.1
JQ356559.1 (May) [9,13]
KP205032.1 (Aug) [13]
JQ356568.1 (Nov) [9]
2012
KC894882.1
KC894883.1
KC894887.1
KC894888.1
KC894891.1
KC894892.1 (Apr) [4]
KC894889.1
KC894890.1
KC894893.1
KC894894.1
KC894896.1
KC894897.1
KC894898.1 (May) [4]
KC894899.1
KC894900.1 (June) [4]
KC894902.1 (Aug) [4]
KC894884.1 (Apr) [4]
KC894895.1 (Aug) [4]
* * KC894885.1 (Apr) [4]
KC894903.1 (Jun) [4]
KP205034.1
KP205035.1 (Oct) [3]
* * KC894901.1 (Jul) [4]
KJ728862.1
KJ728863.1
KJ728864.1
KJ728868.1 (Dec) [6,11]
* KJ815033.1
KT908016.1
KT908015.1
KT908038.1
KT908004.1
KT908005.1
KT908006.1
KT908026.1
KT908027.1
KT908028.1
KT908029.1 (May) [1,2,4]
KJ815034.1
KT908017.1
KT908007.1
KT908031.1
KT908032.1 (Jun) [1,4]
KJ815035.1
KT908018.1
KT908008.1
KT908009.1
KT908010.1
KT908011.1
KT908033.1
KT908034.1 (Jul) [1,4]
KP205034.1
KP205035.1
KT908012.1
KT908013.1
KT908035.1
KT908036.1 (Aug) [1,3,4]
KP205034.1
KP205035.1 (Nov) [6]
KJ815037.1
KT908019.1 (Dec) [1]
2013
* * * * KR068478.1
KR068480.1
KP205038.1
KP205039.1
KP205036.1
KP205037.1 (May) [4,8,9]
KR068477.1
KR068479.1 (Jul) [4]
* * KF772887.1
KF772888.1
KF772889.1
KF772904.1
KF772905.1
KF772906.1
KJ728867.1
KJ728866.1
KJ728865.1
KJ728858.1
KJ728859.1
KJ728861.1 (Jan)[1,11,12,13]
KF772907.1
KF772890.1
KF772894.1
KF772899.1
KF772901.1
KF772896.1 (Mar) [1,2,4]
KF772908.1
KF772891.1
KF772909.1
KF772892.1
KF772902.1
KF772897.1
KF772903.1
KF772898.1
KJ728860.1 (Apr) [1], [4], [13]
KF772900.1
KF772895.1 (Jun) [2]
KF772900.1
KF772887.1
KF772910.1
KF772893.1 (Aug) [1]
* KJ815038.1
KJ815039.1
KT908020.1
KT908014.1
KT908037.1 (Apr) [1,4]
KR068478.1
KR068480.1
KP205039.1
KP205038.1
KP205036.1
KP205037.1 (May) [4,8,9]
KR068477.1
KR068479.1 (Jul) [5]
KJ815040.1
KJ815041.1
KJ815042.1
KJ815043.1
KJ815044.1
KT908021.1
KT908022.1
KT908023.1
KT908024.1
KT908025.1 (Sep) [1]
2014
* * * * KP204987.1
KP205006.1 (Nov) [7,10]
* * * * *

Note: Data in this table were extracted from published nucleotide sequences in National Centre for Biotechnology Information. Picornaviridae members are defined using 1 = Coxsackie A6, 2 = Coxsackie A16, 3 = Coxsackie B3, 4 = Enterovirus A71, 5 = Enterovirus B5, 6 = Enterovirus D68, 7 = Echovirus 1, 8 = Echovirus 6, 9 = Echovirus 7, 10 = Echovirus 11, 11 = Rhinovirus A, 12 = Rhinovirus B and, 13 = Rhinovirus C. Keys in round (brackets) = the period of virus isolation whereas box [brackets] = virus serotypes. Information on HFMD causing viruses are not available for the states Labuan, Perak, Perlis and Sabah.

2. Experimental design, materials, and methods

Historical weather (temperature, humidity and wind) data were retrieved from National Weather Service (NOAA) historical records that range from years 2010–2017. The sorting and arrangement of historical weather data followed procedures of Nelson et al. [5], [6]. Data mining from web portals like MAMPU and NCBI adopted a two-way inclusion keyword system [7], [8], [9], [10]. In this case, abbreviated keys like ‘CVA’, ‘CVB’, ‘EO7’, ‘HFMD’, ‘EV71’, ‘EVA’, ‘EVB’, ‘EVC’, ‘RHA’, ‘RHB’ and ‘RHC’ and-or virus names like ‘Coxsackivirus’, ‘Echovirus’, ‘Enterovirus’, ‘Rhinovirus’ were added to the primary keyword ‘Malaysia’. After first data extraction, the abbreviated keys and-or virus names were added with ‘Sabah’, ‘Sarawak’, ‘Labuan’, ‘Perak’, ‘Pahang’, ‘Kelantan’, ‘Johor’, ‘Negeri Sembilan’, ‘Perlis’, ‘Pulau Pinang’, ‘Penang’, ‘Kuala Lumpur’, ‘Selangor’ and ‘Terengganu’ as word strings. Notably, all nucleotide ascensions were sorted by period of publication, from 01 January 2010 to 31 December 2018. Information related to molecular ecology were first divided by ascension numbers and location sources [11], [12]. The crude data were then filtered and sorted first [13], [14], [15] before adapted with hierarchy-identification code system [16], [17] to ease data comprehension and also extraction.

Acknowledgment

The authors are thankful to Research Management and Innovation Centre, Universiti Malaysia Terengganu for continuous financial support to develop young researchers.

Footnotes

Transparency document associated with this article can be found in the online version at https://doi.org/10.1016/j.dib.2019.103868.

Contributor Information

Bryan Raveen Nelson, Email: bryan.nelson@umt.edu.my.

Mohd Tajuddin Abdullah, Email: mohd.tajuddin@umt.edu.my.

Transparency document

The following is the transparency document related to this article:

Multimedia component 1
mmc1.doc (28KB, doc)

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