We collected information on demographic characteristics, exposure history, and illness timelines of laboratory-confirmed cases of NCIP that had been reported by January 22, 2020. We described characteristics of the cases and estimated the key epidemiologic time-delay distributions. In the early period of exponential growth, we estimated the epidemic doubling time and the basic reproductive number. RESULTSAmong the first 425 patients with confirmed NCIP, the median age was 59 years and 56% were male. The majority of cases (55%) with onset before January 1, 2020, were linked to the Huanan Seafood Wholesale Market, as compared with 8.6% of the subsequent cases. The mean incubation period was 5.2 days (95% confidence interval [CI], 4.1 to 7.0), with the 95th percentile of the distribution at 12.5 days. In its early stages, the epidemic doubled in size every 7.4 days. With a mean serial interval of 7.5 days (95% CI, 5.3 to 19), the basic reproductive number was estimated to be 2.2 (95% CI, 1.4 to 3.9). CONCLUSIONSOn the basis of this information, there is evidence that human-to-human transmission has occurred among close contacts since the middle of December 2019. Considerable efforts to reduce transmission will be required to control outbreaks if similar dynamics apply elsewhere. Measures to prevent or reduce transmission should be implemented in populations at risk. (Funded by the Ministry of Science and Technology of China and others.) a bs tr ac t Early Transmission Dynamics

In appropriate prescribing is a global problem. It is especially salient in China, where drug sales constitute a major portion of health care providers' incomes, price distortions are rampant, and oversight is lax. However, few data exist on the prevalence of inappropriate prescribing in China. This study, the first of its kind in China, examined 230,800 prescriptions written between 2007 and 2009 by 784 community health institutions in 28 cities across China. The data show substantial overprescribing, including twice as many prescriptions for antibiotics as recommended by the World Health Organization and rates of injection that are three times higher than in similar countries. These findings point to the need to integrate rational prescribing into China's ongoing health care reform. M arket-oriented reforms in the past three decades have brought unprecedented economic prosperity to China. At the same time, they dismantled the structure of China's equitable, albeit rudimentary, health care system. Today, with the Chinese Ministry of Health setting very low prices for physician consultation, hospitalization, and services, drug "markups" have become the major source of revenue for health care providers.Unlike the United States and many other countries, China does not have a widespread retail pharmacy system. Patients typically fill their prescriptions at the same hospital or clinic that they visit for care. These health care providers don't receive a dispensing fee but rather earn the difference between wholesale and retail price. Because these drug-related revenues are a major source of financial support for health care providers, one of the detrimental consequences is inappropriate or irrational prescribing. 1The irrational prescribing is further exacerbated by runaway manufacturer prices and lax oversight. This environment poses a serious risk for patients' health and sources of health care. 2Recognizing the ever-worsening problems in basic health care coverage, disease-induced poverty, disparities, and the resulting social instability, the Chinese government has launched a multitude of reforms. Central to the reforms has been the reconstruction of affordable and convenient community health service networks that provide basic disease prevention, medical treatment, rehabilitation, health education, and family planning services within designated urban communities. These networks are composed of health centers, each providing about 50 beds and serving 30,000 to 50,000 residents, and satellite health stations, each serving about 3,000 residents. 4 Most of these institutions are owned or subsidized by municipal governments; the rest are owned by private practitioners, trade organizations, and other nonprofit entities.5 By the end of 2008, 98 percent of the cities in all of China's thirty-one provinces had developed community health service networks. 6 In 2010 China's minister of health, Zhu Chen, Reform In China

Medication nonadherence is common among tuberculosis (TB) patients in China and is of great concern. Herein, we determined the incidence of nonadherence in TB patients in central China and the impact of stigma and depressive symptoms on adherence; these issues are relatively unexplored. A cross-sectional survey was performed, and 1,342 TB patients were recruited from TB dispensaries in three counties in Hubei province using a multistage sampling method. The patients completed structured questionnaires that addressed medication adherence, TB-related stigma, and depressive symptoms. The independent effects of stigma and depressive symptoms on adherence were determined via multinomial logistic regression analysis. The mean medication adherence score was 6.03 ± 1.99. The percentage of TB patients with high, medium, and low medication adherence was 32.12%, 34.58%, and 33.31%, respectively. The impact of stigma and depressive symptoms on medication adherence was significant. TB patients with medium (odds ratios [OR]: 1.54, 95% confidence interval [CI]: 1.08-2.21) or high (OR: 5.32, 95% CI: 3.34-8.46) stigma or patients with mild (OR: 1.92, 95% CI: 1.34-2.75) or severe (OR: 3.67, 95% CI: 2.04-6.61) depressive symptoms showed a higher likelihood of having low adherence than those with low stigma or without depressive symptoms. TB-related stigma and depressive symptoms were common among TB patients in China, as was nonadherence, and independently associated with their adherence behavior. Social and psychological interventions that combat stigmatization and depression in TB patients should be adopted and optimized to improve medication adherence.

BackgroundPrevious studies have mostly focused on the effects of specific constituents of beverages and foods on the risk of esophageal cancer (EC). An increasing number of studies are now emerging examining the health consequences of the high temperature of beverages and foods. We conducted a meta-analysis to summarize the evidence and clarify the association between hot beverages and foods consumption and EC risk.MethodsWe searched the PubMed, Embase, and Web of Science databases for relevant studies, published before May 1, 2014, with the aim to estimate the association between hot beverage and food consumption and EC risk. A random-effect model was used to pool the results from the included studies. Publication bias was assessed by using the Begg test, the Egger test, and funnel plot.ResultsThirty-nine studies satisfied the inclusion criteria, giving a total of 42,475 non-overlapping participants and 13,811 EC cases. Hot beverage and food consumption was significantly associated with EC risk, with an odds ratio (OR) of 1.82 (95% confidence interval [CI], 1.53–2.17). The risk was higher for esophageal squamous cell carcinoma, with a pooled OR of 1.60 (95% CI, 1.29–2.00), and was insignificant for esophageal adenocarcinoma (OR: 0.79; 95% CI: 0.53–1.16). Subgroup analyses suggests that the association between hot beverage and food consumption and EC risk were significant in Asian population (OR: 2.06; 95% CI: 1.62-2.61) and South American population (OR: 1.52; 95% CI: 1.25-1.85), but not significant in European population (OR: 0.95; 95% CI: 0.68-1.34).ConclusionsHot beverage and food consumption is associated with a significantly increased risk of EC, especially in Asian and South American populations, indicating the importance in changing people’s dietary habits to prevent EC.

Controversial results of the association between coffee consumption and bladder cancer (BC) risk were reported among epidemiological studies. Therefore, we conducted this meta-analysis to clarify the association. Relevant studies were identified according to the inclusion criteria. Totally, 34 case-control studies and 6 cohort studies were included in our meta-analysis. The overall odds ratio (OR) with 95% confidence interval (CI) between coffee consumption and BC risk was 1.33 (95% CI 1.19 to 1.48). The summary ORs of BC for an increase of 1 cup of coffee per day were 1.05 (95% CI 1.03 to 1.06) for case-control studies and 1.03 (95% CI 0.99 to 1.06) for cohort studies. The overall ORs for male coffee drinkers, female coffee drinkers and coffee drinkers of both gender were 1.31 (95% CI: 1.08 to 1.59), 1.30 (95% CI: 0.87 to 1.96) and 1.35 (95% CI: 1.20 to 1.51). Compared with smokers (OR = 1.24, 95% CI: 0.91 to 1.70), non-smokers had a higher risk (OR = 1.72, 95% CI: 1.25 to 2.35) for BC. Results of this meta-analysis suggested that there was an increased risk between coffee consumption and BC. Male coffee drinkers and non-smoking coffee drinkers were more likely to develop BC.