Dataset Information

COVID-19 serial interval estimates based on confirmed cases in public reports from 86 Chinese cities.

ABSTRACT: As a novel coronavirus (COVID-19) continues to spread widely and claim lives worldwide, its transmission characteristics remain uncertain. Here, we present and analyze the serial intervals-the time period between the onset of symptoms in an index (infector) case and the onset of symptoms in a secondary (infectee) case-of 339 confirmed cases of COVID-19 identified from 264 cities in mainland China prior to February 19, 2020. Here, we provide the complete dataset in both English and Chinese to support further COVID-19 research and modeling efforts.

SUBMITTER: Du Z

PROVIDER: S-EPMC7276043 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

COVID-19 serial interval estimates based on confirmed cases in public reports from 86 Chinese cities.

Du Zhanwei Z Xu Xiaoke X Wu Ye Y Wang Lin L Cowling Benjamin J BJ Meyers Lauren Ancel LA

medRxiv : the preprint server for health sciences 20200427

As a novel coronavirus (COVID-19) continues to spread widely and claim lives worldwide, its transmission characteristics remain uncertain. Here, we present and analyze the serial intervals-the time period between the onset of symptoms in an index (infector) case and the onset of symptoms in a secondary (infectee) case-of 339 confirmed cases of COVID-19 identified from 264 cities in mainland China prior to February 19, 2020. Here, we provide the complete dataset in both English and Chinese to sup ...[more]

PMID: 32511616

Similar Datasets

Project description:Due to the fact that strontium (Sr) is not involved in the scope of supervision of drinking water in China, the Sr concentration in public drinking water and its related health risks have been neglected for a long time. In this research, public drinking water samples were collected from 314 cities across the country to reveal the concentration and spatial distribution of Sr in public drinking water. In addition, the Monte Carlo method (a statistical simulation method) was applied to evaluate the Sr intake from drinking water and human health risks among different age groups and different regions. As shown in the results, the Sr was in the concentration range of 0.005-3.11 mg/L with a mean value of 0.360 mg/L. There were significant differences in the Sr concentration in different regions; in general, it was high in the north and low in the south. The Sr intakes of infants, children, teens, and adults from drinking water were 0.273, 0.503, 0.633, and 0.784 mg/day, respectively. There was a significant positive correlation between Sr concentration in drinking water and bone mineral density (BMD) in the elderly. Especially, the correlation coefficients (r) between Sr concentration and the BMD of the elderly whose age fell in the range of 60-70 years were 0.692 (male) and 0.483 (female). In addition, the Sr concentration in drinking water was positively correlated with the incidence of children's rickets (r = 0.411), while the Ca/Br ratio was negatively correlated with the incidence of children's rickets (r = - 0.410). According to the health risk assessment, among people of different ages, infants' hazard index (HI) value was the highest. The mean value and 95th percentile value were 0.066 and 0.247. Non-carcinogenic risk of Sr through drinking water among different people in different regions was less than 1, which meant no significant damage to human health. This study is the first time to systematically investigate Sr in public drinking water across the whole country. More importantly, the conclusions can be applied to risk control and management of public drinking water.

Dataset Information

COVID-19 serial interval estimates based on confirmed cases in public reports from 86 Chinese cities.

Publications

COVID-19 serial interval estimates based on confirmed cases in public reports from 86 Chinese cities.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets