e.g. mhealth
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Skip search results from other journals and go to results- 3 JMIR Public Health and Surveillance
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Triangulating Truth and Reaching Consensus on Population Size, Prevalence, and More: Modeling Study
The primary goal of such a meta-analysis is to estimate the mean of the distribution of effect sizes, synthesizing the estimates of individual studies. Our goal was similar: to estimate a population quantity of interest θ which can be a population size, population proportion, incidence, among others. We aimed to synthesize several estimates yj of this quantity from different studies, where the variance σj2 of each estimate is known.
JMIR Public Health Surveill 2024;10:e48738
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The standardized difference is the difference in the mean of a variable between 2 groups divided by an estimate of the standard deviation of that variable [15]; relatively low values of the standardized difference show stability in the percent cremated.
Second, time lags in the completeness of cremation and vital statistics data were assessed to determine the predictive value of cremation data in estimating all-cause mortality.
JMIR Public Health Surveill 2022;8(2):e32426
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The compliance rate, which focuses on the adherence of HCWs to HH protocols, is commonly used to estimate each individual’s HH performance [5]. However, this parameter masks the temporal and spatial aspects of HH involved in infection transmission. In this study, a novel HH performance metric is proposed to quantify the individual patient’s exposure risk to infection.
JMIR Form Res 2022;6(2):e32384
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A disease progression and transmission model is used to estimate the size and composition of the COVID-19 period prevalence by integrating the results of previous seroprevalence surveys with primary provincial observed data of health events related to COVID-19 and its sequelae, including COVID-19–related deaths. From these estimates, we derive the proportion of the infected population that remained undiagnosed during this period.
JMIR Public Health Surveill 2021;7(9):e26409
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For the period between January 21 to April 15 for Latin America and the Caribbean, the cluster with the highest RR was Chile (RR 18.02; P
Emerging COVID-19 space–time clusters and their RR for having more observed than expected COVID-19 cases, from January 21 to March 15 and March 31, 2020, at the country level within the Latin American, Caribbean, and African regions.
a RR: relative risk estimate.
b All RRs have a P value
Emerging COVID-19 space–time clusters and their RR for having more observed than expected
J Med Internet Res 2021;23(6):e22999
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Since the symptoms are now well documented in the literature [10] and the tests are more widespread, telephone surveys could also be useful to estimate symptomatic and asymptomatic COVID-19 contacts. Moreover, the most severe forms of COVID-19 and the overall risk of all-cause mortality were disproportionately associated with older adults because of age and pre-existing conditions [11-14].
JMIR Form Res 2021;5(4):e26955
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A continuous Rt estimate is then obtained using the infection rate estimate. The SIR model is described as a system of differential equations, and the key idea in our proposed method is that the initial conditions for each window are considered as values estimated for the previous window. The only additional hyperparameter is the length of the sliding window.
J Med Internet Res 2021;23(4):e24389
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