Skip to main content
Top
Published in: BMC Public Health 1/2019

Open Access 01-12-2019 | Research article

A spatial-temporal statistical analysis of health seasonality: explaining HFMD infections within a children population along the Vietnamese south central coast

Authors: Phuong N. Truong, Thuong Vu Nguyen, Thao Thi Thanh Nguyen, Alfred Stein

Published in: BMC Public Health | Issue 1/2019

Login to get access

Abstract

Background

Various neglected tropical diseases show spatially changing seasonality at small areas. This phenomenon has received little scientific attention so far. Our study contributes to advancing the understanding of its drivers. This study focuses on the effects of the seasonality of increasing social contacts on the incidence proportions at multiple district level of the childhood hand-foot-mouth disease in Da Nang city, Viet Nam from 2012 to 2016.

Methods

We decomposed the nonstationary time series of the incidence proportions for the nine spatial-temporal (S-T) strata in the study area, where S indicates the spatial and T the temporal stratum. The long-term trends and the seasonality are presented by the Fourier series. To study the effects of the monthly average ambient temperature and the period of preschooling, we developed a spatial-temporal autoregressive model.

Results

Seasonality of childhood hand-foot-mouth disease incidence proportions shows two peaks in all spatial strata annually: large peaks synchronously in April and small ones asynchronously during the preschooling period. The peaks of the average temperature are asynchronous with the seasonal peaks of the childhood hand-foot-mouth disease incidence proportions in the period between January and May, with the negative values of the regression coefficients for all spatial strata, respectively: \( {\beta}_{{\mathrm{T}}_11}^{S_1}=-0.18\pm 0.07;{\beta}_{{\mathrm{T}}_11}^{S_2}=-0.25\pm 0.09;{\beta}_{{\mathrm{T}}_11}^{S_3}=-0.14\pm 0.05 \). The increasingly cumulative preschooling period and the seasonal component of the incidence proportions are negatively correlated in the period between August and December, with the negative values of the regression coefficients for all temporal strata, respectively: \( {\beta}_{{\mathrm{T}}_32}^{S_1}=-0.40\pm 0.01;{\beta}_{{\mathrm{T}}_32}^{S_2}=-0.29\pm 0.00;{\beta}_{{\mathrm{T}}_32}^{S_3}=-0.25\pm 0.01 \).

Conclusions

The study shows that social contact amongst children under five years of age is the important driving factor of the dynamics of the childhood hand-foot-mouth disease outbreaks in the study area. The preschooling season when children’s contact with each other increases stimulates the geographical variation of the seasonality of childhood hand-foot-mouth disease infections at small areas in the study area.
Appendix
Available only for authorised users
Literature
5.
go back to reference Altizer S, Dobson A, Hosseini P, Hudson P, Pascual M, Rohani P. Seasonality and the dynamics of infectious diseases. Ecol Lett. 2006;9:467–84.CrossRef Altizer S, Dobson A, Hosseini P, Hudson P, Pascual M, Rohani P. Seasonality and the dynamics of infectious diseases. Ecol Lett. 2006;9:467–84.CrossRef
6.
go back to reference Grassly NC, Fraser C. Seasonal infectious disease epidemiology. Proc R Soc B Biol Sci. 2006;273:2541–50.CrossRef Grassly NC, Fraser C. Seasonal infectious disease epidemiology. Proc R Soc B Biol Sci. 2006;273:2541–50.CrossRef
10.
go back to reference Frydenberg A, Starr M. Hand, foot and mouth disease. Aust Fam Physician. 2003;32:594–5.PubMed Frydenberg A, Starr M. Hand, foot and mouth disease. Aust Fam Physician. 2003;32:594–5.PubMed
13.
go back to reference Xu C, Zhang X, Xiao G. Spatiotemporal decomposition and risk determinants of hand, foot and mouth disease in Henan, China. Sci Total Environ. 2019;657:509-16.CrossRef Xu C, Zhang X, Xiao G. Spatiotemporal decomposition and risk determinants of hand, foot and mouth disease in Henan, China. Sci Total Environ. 2019;657:509-16.CrossRef
15.
go back to reference Phung D, Nguyen HX, Nguyen HLT, Do CM, Tran QD, Chu C. Spatiotemporal variation of hand-foot-mouth disease in relation to socioecological factors: a multiple-province analysis in Vietnam. Sci Total Environ. 2018;610:983–91.CrossRef Phung D, Nguyen HX, Nguyen HLT, Do CM, Tran QD, Chu C. Spatiotemporal variation of hand-foot-mouth disease in relation to socioecological factors: a multiple-province analysis in Vietnam. Sci Total Environ. 2018;610:983–91.CrossRef
16.
go back to reference Sofianopoulou E, Pless-Mulloli T, Rushton S, Diggle PJ. Modeling seasonal and spatiotemporal variation: the example of respiratory prescribing. Am J Epidemiol. 2017;186:101–8.CrossRef Sofianopoulou E, Pless-Mulloli T, Rushton S, Diggle PJ. Modeling seasonal and spatiotemporal variation: the example of respiratory prescribing. Am J Epidemiol. 2017;186:101–8.CrossRef
18.
go back to reference Da Nang Statistics Office. Da Nang statistical yearbook 2016. Da Nang: Statistical publishing house; 2017. Da Nang Statistics Office. Da Nang statistical yearbook 2016. Da Nang: Statistical publishing house; 2017.
19.
go back to reference Wang JF, Zhang TL, Fu BJ. A measure of spatial stratified heterogeneity. Ecol Indic. 2016;67:250–6.CrossRef Wang JF, Zhang TL, Fu BJ. A measure of spatial stratified heterogeneity. Ecol Indic. 2016;67:250–6.CrossRef
20.
go back to reference Wang JF, Li XH, Christakos G, Liao YL, Zhang T, Gu X, Zheng XY. Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun region. China Int J Geogr Inf Sci. 2010;24:107–27.CrossRef Wang JF, Li XH, Christakos G, Liao YL, Zhang T, Gu X, Zheng XY. Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun region. China Int J Geogr Inf Sci. 2010;24:107–27.CrossRef
21.
go back to reference Barnett AG, Dobson AJ. Analysing seasonal health data. Berlin: Springer; 2010.CrossRef Barnett AG, Dobson AJ. Analysing seasonal health data. Berlin: Springer; 2010.CrossRef
22.
go back to reference Dodge Y. Seasonal index. In: Dodge Y, editor. The concise encyclopedia of statistics. New York: Springer New York; 2008. p. 476–9. Dodge Y. Seasonal index. In: Dodge Y, editor. The concise encyclopedia of statistics. New York: Springer New York; 2008. p. 476–9.
23.
go back to reference Bloomfield P. Fourier analysis of time series: an introduction. 2nd ed. New York: Wiley; 2000.CrossRef Bloomfield P. Fourier analysis of time series: an introduction. 2nd ed. New York: Wiley; 2000.CrossRef
24.
go back to reference Naumova EN, MacNeill IB. Seasonality assessment for biosurveillance systems. In: Auget JL, Balakrishnan N, Mesbah M, Molenberghs G, editors. Advances in statistical methods for the health sciences: applications to cancer and aids studies, genome sequence analysis, and survival analysis. Boston: Birkhäuser Boston; 2007. p. 437–50.CrossRef Naumova EN, MacNeill IB. Seasonality assessment for biosurveillance systems. In: Auget JL, Balakrishnan N, Mesbah M, Molenberghs G, editors. Advances in statistical methods for the health sciences: applications to cancer and aids studies, genome sequence analysis, and survival analysis. Boston: Birkhäuser Boston; 2007. p. 437–50.CrossRef
25.
go back to reference Ramsay JO, Hooker G, Graves S. Smoothing: computing curves from noisy data. In: Ramsay JO, Hooker G, Graves S, editors. Functional data analysis with R and MATLAB. New York: Springer New York; 2009. p. 59–82.CrossRef Ramsay JO, Hooker G, Graves S. Smoothing: computing curves from noisy data. In: Ramsay JO, Hooker G, Graves S, editors. Functional data analysis with R and MATLAB. New York: Springer New York; 2009. p. 59–82.CrossRef
26.
go back to reference Pace RK, Barry R, Clapp J, Rodriquez M. Spatio-temporal autoregressive models of neighborhood effects. J Real Estate Finance Econ. 1998;17:15–33.CrossRef Pace RK, Barry R, Clapp J, Rodriquez M. Spatio-temporal autoregressive models of neighborhood effects. J Real Estate Finance Econ. 1998;17:15–33.CrossRef
27.
go back to reference Cole SR, Chu H, Greenland S. Maximum likelihood, profile likelihood, and penalized likelihood: a primer. Am J Epidemiol. 2014;179:252–60.CrossRef Cole SR, Chu H, Greenland S. Maximum likelihood, profile likelihood, and penalized likelihood: a primer. Am J Epidemiol. 2014;179:252–60.CrossRef
28.
go back to reference Yap BW, Sim CH. Comparisons of various types of normality tests. J Stat Comput Simul. 2011;81:2141–55.CrossRef Yap BW, Sim CH. Comparisons of various types of normality tests. J Stat Comput Simul. 2011;81:2141–55.CrossRef
31.
go back to reference Anderson RM. Populations and infectious diseases: ecology or epidemiology? J Anim Ecol. 1991;60:1–50.CrossRef Anderson RM. Populations and infectious diseases: ecology or epidemiology? J Anim Ecol. 1991;60:1–50.CrossRef
32.
go back to reference Sarma N. Relapse of hand foot and mouth disease: are we at more risk? Indian J Dermatol. 2013;58:78–9.CrossRef Sarma N. Relapse of hand foot and mouth disease: are we at more risk? Indian J Dermatol. 2013;58:78–9.CrossRef
33.
go back to reference Thao NTT, Donato C, Trang VTH, Kien NT, Trang PMT, Khanh TQ, Nguyet DT, Sessions OM, Cuong HQ, Lan PT, Huong VTQ, van Doorn HR, Vijaykrishna D. Evolution and spatiotemporal dynamics of Enterovirus A71 subgenogroups in Vietnam. J Infect Dis. 2017;216:1371–9.CrossRef Thao NTT, Donato C, Trang VTH, Kien NT, Trang PMT, Khanh TQ, Nguyet DT, Sessions OM, Cuong HQ, Lan PT, Huong VTQ, van Doorn HR, Vijaykrishna D. Evolution and spatiotemporal dynamics of Enterovirus A71 subgenogroups in Vietnam. J Infect Dis. 2017;216:1371–9.CrossRef
34.
go back to reference Cleveland RB, Cleveland WS, McRae JE, Terpenning I. STL: a seasonal-trend decomposition procedure based on loess. J Off Stat. 1990;6:3–73. Cleveland RB, Cleveland WS, McRae JE, Terpenning I. STL: a seasonal-trend decomposition procedure based on loess. J Off Stat. 1990;6:3–73.
35.
go back to reference Diggle P. Time series: a biostatistical introduction. Oxford statistical science series. Oxford: Oxford University Press; 1990. Diggle P. Time series: a biostatistical introduction. Oxford statistical science series. Oxford: Oxford University Press; 1990.
36.
go back to reference Stolwijk AM, Straatman H, Zielhuis GA. Studying seasonality by using sine and cosine functions in regression analysis. J Epidemiol Community Health. 1999;53:235–8.CrossRef Stolwijk AM, Straatman H, Zielhuis GA. Studying seasonality by using sine and cosine functions in regression analysis. J Epidemiol Community Health. 1999;53:235–8.CrossRef
37.
go back to reference Makridakis S, Hibon M. ARMA models and the box–Jenkins methodology. J Forecast. 1997;16:147–63.CrossRef Makridakis S, Hibon M. ARMA models and the box–Jenkins methodology. J Forecast. 1997;16:147–63.CrossRef
Metadata
Title
A spatial-temporal statistical analysis of health seasonality: explaining HFMD infections within a children population along the Vietnamese south central coast
Authors
Phuong N. Truong
Thuong Vu Nguyen
Thao Thi Thanh Nguyen
Alfred Stein
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2019
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-019-7281-4

Other articles of this Issue 1/2019

BMC Public Health 1/2019 Go to the issue