Descriptive statistics on annual rate of scarlet fever in outpatient setting from 2009 to 2017 and annual percentage change (APC).

*Poor visual acuity defined at less than or equal to 6/9 Significant associations for RVFV seropositivity identified by multivariable logistic regression modeling.

1 Missing data on mRDT result: 53 2 Results of blood slides double-read by two independent microscopists, with discrepant findings resolved by a third independent reader. All...

Clinical and biological characteristics of the cohort.

Results of base case cost-effectiveness analysis of test strategies for diagnosis of MD.

Demographic information, clinical characteristics and serological testing results of patients involved in the cluster in Yixing County, China, 1996.

Disease-mediated mosquitoes have been receiving much attention, as the World Health Organization recently declared the Zika virus a global public health emergency. Mosquitoes...

Details of housing conditions and protection against malaria.

Temperature sensitivity of NB24/CHN/2013 and ZJ2013-06-P7.

Abrev. ED Emergency Department aAssays made by BRAHMS GmbH (Hennigsdorf, Germany) bBased on individual study diagnostic cut-off as publishedx Summary of the characteristics...

Comparison between complete and incomplete cases.

mAb-induced protection and clinical observations in NHPs aerosol exposed to VEEV.

Demographic characteristics of respondents from survey.

Ideational factors related to malaria and malaria treatment among children under five.

Health seeking behaviours by the community.

BackgroundQuick Sequential Organ Failure Assessment (qSOFA) is a three-item clinical instrument for bedside identification of sepsis patients at risk of poor outcome. qSOFA...

Descriptive statistics on annual rate of scarlet fever in inpatient setting from 2009 to 2017 and annual percentage change (APC).

Febrile illness is a major burden in African children, and non-malarial causes of fever are uncertain. In this retrospective exploratory study, we used metagenomic...

Pearson’s correlation coefficients of three algorithms on CCHF data set for three prediction scenarios together with ranks in parentheses.

Frequency of fever by community, economic activity and rate of recurrence.