PMID- 36045326
OWN - NLM
STAT- MEDLINE
DCOM- 20220908
LR  - 20220920
IS  - 1471-2458 (Electronic)
IS  - 1471-2458 (Linking)
VI  - 22
IP  - 1
DP  - 2022 Aug 31
TI  - Application for simulating public health problems during floods around the Loei 
      River in Thailand: the implementation of a geographic information system and 
      structural equation model.
PG  - 1651
LID - 10.1186/s12889-022-14018-7 [doi]
LID - 1651
AB  - BACKGROUND: Floods cause not only damage but also public health issues. 
      Developing an application to simulate public health problems during floods around 
      the Loei River by implementing geographic information system (GIS) and structural 
      equation model (SEM) techniques could help improve preparedness and aid plans in 
      response to such problems in general and at the subdistrict level. As a result, 
      the effects of public health problems would be physically and mentally less 
      severe. METHODS: This research and development study examines cross-sectional 
      survey data. Data on demographics, flood severity, preparedness, help, and public 
      health problems during floods were collected using a five-part questionnaire. 
      Calculated from the population proportion living within 300 m of the Loei River, 
      the sample size was 560 people. The participants in each subdistrict were 
      recruited proportionally in line with the course of the Loei River. Compared to 
      the empirical data, the data analysis examined the causal model of public health 
      problems during floods, flood severity, preparedness, and help. The standardized 
      factor loadings obtained from the SEM analysis were substituted as the loadings 
      in the equations for simulating public health problems during floods. RESULTS: 
      The results revealed that the causal model of public health problems during 
      floods, flood severity, preparation, and help agreed with the empirical data. 
      Flood severity, preparedness, and aid (chi(2) = 479.757, df = 160, p value <.05, 
      CFI = 0.985, RMSEA = 0.060, chi(2)/df = 2.998) could explain 7.7% of public health 
      problems. The computed values were applied in a GIS environment to simulate 
      public health problem situations at the province, district, and subdistrict 
      levels. CONCLUSIONS: Flood severity and public health problems during floods were 
      positively correlated; in contrast, preparedness and help showed an inverse 
      relationship with public health problems. A total of 7.7% of the variance in 
      public health problems during floods could be predicted. The analysed data were 
      assigned in the GIS environment in the developed application to simulate public 
      health problem situations during floods.
CI  - (c) 2022. The Author(s).
FAU - Boonnuk, Tanunchai
AU  - Boonnuk T
AD  - Public Health Program, Department of Applied Science, Faculty of Science and 
      Technology, Loei Rajabhat University, Loei, 42000, Thailand. 
      boonnuk2002@hotmail.com.
FAU - Poomphakwaen, Kirati
AU  - Poomphakwaen K
AD  - Public Health Program, Department of Applied Science, Faculty of Science and 
      Technology, Loei Rajabhat University, Loei, 42000, Thailand.
FAU - Kumyoung, Natchareeya
AU  - Kumyoung N
AD  - Public Health Program, Department of Applied Science, Faculty of Science and 
      Technology, Loei Rajabhat University, Loei, 42000, Thailand.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20220831
PL  - England
TA  - BMC Public Health
JT  - BMC public health
JID - 100968562
SB  - IM
MH  - Cross-Sectional Studies
MH  - *Floods
MH  - *Geographic Information Systems
MH  - Humans
MH  - Public Health
MH  - Rivers
MH  - Thailand/epidemiology
PMC - PMC9429490
OTO - NOTNLM
OT  - Flood disaster
OT  - Geographic information system
OT  - Structural equation model
COIS- The authors declare that they have no conflicts of interest.
EDAT- 2022/09/01 06:00
MHDA- 2022/09/09 06:00
PMCR- 2022/08/31
CRDT- 2022/08/31 23:30
PHST- 2022/03/17 00:00 [received]
PHST- 2022/08/17 00:00 [accepted]
PHST- 2022/08/31 23:30 [entrez]
PHST- 2022/09/01 06:00 [pubmed]
PHST- 2022/09/09 06:00 [medline]
PHST- 2022/08/31 00:00 [pmc-release]
AID - 10.1186/s12889-022-14018-7 [pii]
AID - 14018 [pii]
AID - 10.1186/s12889-022-14018-7 [doi]
PST - epublish
SO  - BMC Public Health. 2022 Aug 31;22(1):1651. doi: 10.1186/s12889-022-14018-7.