ABSTRACT
To build the Geographical Information System (GIS) database for prevention and control of cholera programs as well as using management analysis and function demonstration to show the spatial attribute of cholera.Data from case reporting system regarding diarrhoea,vibrio cholerae,serotypes of vibrio cholerae at the surveillance spots and seafoods,as well as surveillance data on ambient environment and climate were collected.All the data were imported to system database to show the incidence of vibrio cholerae in different provinces,regions and counties to supoport the spatial analysis through the spatial analysis of GIS.The epidemic trends of cholera,seasonal characteristies of the cholera and the variation of the vibrio cholerae with times were better understood.Information on hotspots,regions and time of epidemics was collected,and helpful in providing risk prediction on the incidence of vibrio cholerae.The exploitation of the software can predict and simulate the spatio-temporal risks,so as to provide guidance for the prevention and control of the disease.
ABSTRACT
<p><b>BACKGROUND</b>Typhoid/paratyphoid fever (TPF) is endemic in Guizhou. We conducted wavelet analysis and Spearman's rank correlation analysis to explore the impact of meteorological variations on TPF infection in Guizhou, in an attempt to assess the risk factors associated with TPF epidemics.</p><p><b>METHODS</b>We examined the association between TPF incidence in Guizhou and temperature, precipitation and relative humidity using 24 years of data from 1984 to 2007. Periodicities of TPF incidence and the impact of climate factors on the TPF were detected by Spearman's rank correlation and wavelet analysis,</p><p><b>RESULTS</b>Temperature and precipitation with a 1-month lag were positively correlated with the monthly incidence of TPF. The multiyear incidence pattern of TPF in Guizhou was explicitly periodic. Moreover, the association and driving effect of precipitation on TPF were observed, and the results showed that the incidence of TPF in Guizhou had a closer correlation with precipitation than with temperature.</p><p><b>CONCLUSIONS</b>Safe water supply is the key issue for TPF control in Guizhou. Moreover, climate variation might impact the enteric infections, which may inform policy assessment for TPF control in Guizhou.</p>
Subject(s)
Humans , China , Epidemiology , Incidence , Paratyphoid Fever , Epidemiology , Rain , Temperature , Typhoid Fever , EpidemiologyABSTRACT
Objective To characterize the spatial distribution of typhoid and paratyphoid fever(TPF)in Yunnan province, China and to determine the effectiveness of meteorological factors on the epidemics of TPE Methods Data of reported TPF cases in Yunnan province(2001 -2007)from the China Information System for Diseases Control and Prevention was applied to GIS-based spatial analyses to detect their spatial distribution and clustering of TPF incidence at the county level.Panel data analysis was used to identify the relationships between the TPF incidence and meteorological factors including monthly average temperature, monthly cumulative precipitation and monthly average relative humidity. Results During the study period, the average incidence of TPF in Yunnan province was 23.11/100 000, with majority of the TPF cases emerged in summer and autumn. Although widely distributed, two TPF clusters were detected in Yunnan province based on the spatial analysis:one area around Yuxi city with the average annual incidence as 207.45/100 000 and another at the junctions of Yunnan province with Burma and Laos. Based on results from panel data analysis, the incidence of TFP was shown to be associated with meteorological factors such as temperature,precipitation, relative humidity and one month lag of temperature increase [10 ℃ increase in the monthly average temperature:IRR=1.30(95%CI: 1.24-1.36);10% increase in monthly average relative humidity:IRR= 1.07(95%CI: 1.05-1.09); 100 mm rise in monthly cumulative precipitation:IRR=1.02(95%CI: 1.00-1.03); and 10 ℃ average temperature increase, the last month: IRR=1.73(95%CI: 1.64-1.82)]. Conclusion Areas with high TPF incidence were detected in this study,which indicated the key areas for TPF control in Yunnan province. Meteorological factors such as temperature, precipitation and humidity played a role in the incidence of TPF.