02872nas a2200301   4500000000100000008004100001653001600042653001200058653002300070653002400093653002500117653001000142653001200152100000900164700001000173700001100183700001200194700001200206700001100218700001100229700001100240700001700251245011300268856009000381300000900471490000700480520208300487       2016                            d10aTuerculosis10aPoverty10aHookworm infection10aHelminth infections10aDisease surveillance10aChina10aAscaris1 aLi X1 aRen Z1 aWang L1 aZhang H1 aJiang S1 aChen J1 aWang J1 aZhou X1 aCantacessi C00aCo-endemicity of pulmonary tuberculosis and intestinal helminth infection in the People's Republic of China.  uhttp://journals.plos.org/plosntds/article/asset?id=10.1371%2Fjournal.pntd.0004580.PDF  a1-230 v103 a<p>Both pulmonary tuberculosis (PTB) and intestinal helminth infection (IHI) affect millions of individuals every year in China. However, the national-scale estimation of prevalence predictors and prevalence maps for these diseases, as well as co-endemic relative risk (RR) maps of both diseases’ prevalence are not well developed. There are co-endemic, high prevalence areas of both diseases, whose delimitation is essential for devising effective control strategies. Bayesian geostatistical logistic regression models including socio-economic, climatic, geographical and environmental predictors were fitted separately for active PTB and IHI based on data from the national surveys for PTB and major human parasitic diseases that were completed in 2010 and 2004, respectively. Prevalence maps and co-endemic RR maps were constructed for both diseases by means of Bayesian Kriging model and Bayesian shared component model capable of appraising the fraction of variance of spatial RRs shared by both diseases, and those specific for each one, under an assumption that there are unobserved covariates common to both diseases. Our results indicate that gross domestic product (GDP) per capita had a negative association, while rural regions, the arid and polar zones and elevation had positive association with active PTB prevalence; for the IHI prevalence, GDP per capita and distance to water bodies had a negative association, the equatorial and warm zones and the normalized difference vegetation index had a positive association. Moderate to high prevalence of active PTB and low prevalence of IHI were predicted in western regions, low to moderate prevalence of active PTB and low prevalence of IHI were predicted in north-central regions and the southeast coastal regions, and moderate to high prevalence of active PTB and high prevalence of IHI were predicted in the south-western regions. Thus, co-endemic areas of active PTB and IHI were located in the south-western regions of China, which might be determined by socio-economic factors, such as GDP per capita.</p>