Introduction To this date, there is little known about the symptoms, their duration, and occupational implications of Coronavirus disease (COVID-19) in the military population. Decisions regarding implementing precaution measures are based on data deriving from the general population. Moreover, the Omicron variant seems to cause a disease with lesser severity than previous variants. We aimed to describe the clinical presentation and estimate the loss of workdays due to mild COVID-19 during an Omicron predominant wave among a young, healthy, and mostly vaccinated military population. Materials and Methods A cross-sectional, survey-based study among IDF soldiers who replied to an online questionnaire following recovery from COVID-19. Data included self-reported vaccination status, symptoms presentation and duration, and service-related sick days. Student’s t-test and chi-square test of independence were used to compare differences in continuous and categorical variables, respectively. A binary logistic regression analysis was performed to estimate the odds ratio and 95% CIs for prolonged symptom duration (4 days and above) by participants’ characteristics. The IDF medical corps institutional review board approved this study. Results A total of 199 soldiers, with a mean age of 21.9 years, were included in the study. Upper respiratory tract symptoms, headache, and constitutional symptoms were found to be the most common among symptomatic soldiers. The median reported time for inability to continue the daily routine, including work, was 5 days [Interquartile range (IQR), 0-10]. Median duration of symptoms was 4 days (IQR, 0-10). In addition, women were found to have longer symptomatic disease (odds ratio = 2.34; 95% CI, 1.20-4.52). Conclusions Our findings demonstrate that even among a young and fully vaccinated population, COVID-19 caused by the Omicron variant may result in substantial medical leave from military service, compared to common cold or influenza virus infection. Our study sample was relatively small; however, the response rate was high and our results shed light on the yet-to-be fully characterized Omicron variant-related COVID-19. Despite the current common perception of COVID-19 as a self-limiting mild disease with low burden of symptoms, our findings show the potential occupational burden of infection with COVID-19 on military units and their readiness and could be considered when discussing public health restrictions and further steps taken to minimize outbreaks ramifications.
Association between body mass index (BMI) and low back pain (LBP) has long been debated, however inconsistent measurements of BMI and varying definition of LBP have produced conflicting findings. We explored this association using measured BMI and a physician documentation of recurrent-LBP among healthy young adults. Data were extracted from the electronic-medical-record system (EMRS) of the Israel-defense-forces (IDF). All compulsory military servants between 2008-2019 were included (n=705,840). Exclusion criteria were spine deformities, disc pathologies, spinal surgery, arthropathies, connective tissue diseases, pain syndromes, low bone density disorders, cancer, and psychiatric diseases. LBP was defined as IDF-EMRS documentation of: 1) two medical visits, at least 6 weeks apart, with a diagnosis of LBP or "LBP with radiation"; or 2) one visit resulting in referral to an orthopedic surgeon. Logistic regression models were used to explore the association between BMI category and LBP, 619,969 (87.8%) individuals (mean 18.9 [SD=0.97] years, 56.9% male) were included. LBP prevalence was 9.2% (n=56,918), higher among males (9.7%) than females (8.5%). Having overweight and obesity was associated with LBP (OR 1.123 [1.096-1.151] and 1.137 [1.096-1.179], respectively). Association remained significant when accounting for various sociodemographic factors. Maintaining healthy BMI may aid in the prevention of LBP in young adults.
BACKGROUND The COVID-19 outbreak required prompt action by health authorities around the world in response to a novel threat. With enormous amounts of information originating in sources with uncertain degree of validation and accuracy, it is essential to provide executive-level decision-makers with the most actionable, pertinent, and updated data analysis to enable them to adapt their strategy swiftly and competently. OBJECTIVE We report here the origination of a COVID-19 dedicated response in the Israel Defense Forces with the assembly of an operational Data Center for the Campaign against Coronavirus. METHODS Spearheaded by directors with clinical, operational, and data analytics orientation, a multidisciplinary team utilized existing and newly developed platforms to collect and analyze large amounts of information on an individual level in the context of SARS-CoV-2 contraction and infection. RESULTS Nearly 300,000 responses to daily questionnaires were recorded and were merged with other data sets to form a unified data lake. By using basic as well as advanced analytic tools ranging from simple aggregation and display of trends to data science application, we provided commanders and clinicians with access to trusted, accurate, and personalized information and tools that were designed to foster operational changes and mitigate the propagation of the pandemic. The developed tools aided in the in the identification of high-risk individuals for severe disease and resulted in a 30% decline in their attendance to their units. Moreover, the queue for laboratory examination for COVID-19 was optimized using a predictive model and resulted in a high true-positive rate of 20%, which is more than twice as high as the baseline rate (2.28%, 95% CI 1.63%-3.19%). CONCLUSIONS In times of ambiguity and uncertainty, along with an unprecedented flux of information, health organizations may find multidisciplinary teams working to provide intelligence from diverse and rich data a key factor in providing executives relevant and actionable support for decision-making.
Background The COVID-19 outbreak required prompt action by health authorities around the world in response to a novel threat. With enormous amounts of information originating in sources with uncertain degree of validation and accuracy, it is essential to provide executive-level decision-makers with the most actionable, pertinent, and updated data analysis to enable them to adapt their strategy swiftly and competently. Objective We report here the origination of a COVID-19 dedicated response in the Israel Defense Forces with the assembly of an operational Data Center for the Campaign against Coronavirus. Methods Spearheaded by directors with clinical, operational, and data analytics orientation, a multidisciplinary team utilized existing and newly developed platforms to collect and analyze large amounts of information on an individual level in the context of SARS-CoV-2 contraction and infection. Results Nearly 300,000 responses to daily questionnaires were recorded and were merged with other data sets to form a unified data lake. By using basic as well as advanced analytic tools ranging from simple aggregation and display of trends to data science application, we provided commanders and clinicians with access to trusted, accurate, and personalized information and tools that were designed to foster operational changes and mitigate the propagation of the pandemic. The developed tools aided in the in the identification of high-risk individuals for severe disease and resulted in a 30% decline in their attendance to their units. Moreover, the queue for laboratory examination for COVID-19 was optimized using a predictive model and resulted in a high true-positive rate of 20%, which is more than twice as high as the baseline rate (2.28%, 95% CI 1.63%-3.19%). Conclusions In times of ambiguity and uncertainty, along with an unprecedented flux of information, health organizations may find multidisciplinary teams working to provide intelligence from diverse and rich data a key factor in providing executives relevant and actionable support for decision-making.
Introduction Nonionizing radiation (NIR) is considered “possibly carcinogenic to humans,” and therefore, exposure of young military personnel raises concerns regarding increased risk for cancer. The aim of our study was to compare the cancer incidence in exposed and nonexposed populations in order to gain better understanding of their risk. Materials and Methods A longitudinal retrospective cohort study, between 2009 and 2018, was conducted. Israel Defense Forces (IDF) aerial defense units service members, with NIR exposure (range of 2-300 GHz, below the International Commission of Non-Ionizing Radiation Protection guidelines), were compared with a similar sociodemographic group of service members without NIR exposure. Both groups were followed for cancer incidence (all-cause and specific malignancies). Kaplan–Meier analysis of cancer-free survival and univariate and multivariable logistic regressions for possible confounders and risk factors were performed. This analysis was repeated on a matched 1:1 control group. Results Exposure and comparison groups included 3,825 and 11,049 individuals, respectively. Forty-one cases diagnosed with cancer were identified during the follow-up time (mean 4.8 [±2.7] years), 13 (0.34%) of which were reported in the exposure group, and 28 (0.25%) were reported in the comparison group. The odds ratio (OR) for cancer incidence in the exposure vs. control groups was 1.34 (95%CI, 0.70-2.60), P-value = 0.3807. The results remained unchanged after adjustment for sex, age at enrollment, service length, socioeconomic status, and military occupation (adjOR = 1.38 [95%CI, 0.67-2.82], P = 0.3818). Conclusions Our study did not find an increased short-term risk for cancer in young adults exposed to NIR radiation as compared with unexposed young adults.
Objective To assess the clinical features and infectivity of variant B.1.1.7 among healthy young adults in a military setting. Materials and Methods Positive cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in a single military base (March 23, 2020 and February 16, 2021) were included. An epidemiological investigation conducted via phone included questions regarding symptoms, exposure history, smoking status, list of contacts, and recently visited places. Symptoms surveyed included fever, cough, shortness of breath, sore throat, loss of smell or taste, gastrointestinal symptoms (GI), headache, chest pain, and constitutional symptoms. Cases were divided before B.1.1.7 first reported case in Israel (December 23, 2020) (period 1) and after its identification (period 2). Symptom distribution and the risk of a contact to be infected were compared between the periods, using a chi-square test, and a negative binominal regression model, respectively. Results Of 293 confirmed cases, 89 were reported in the first period and 204 in the second. 56.0% were men with a median age of 19.5 years (interquartile range 18.6-20.5). GI symptoms, loss of taste or smell, headache, fever, and chills were more prevalent in the first period (P < .001, P = .026, P = .034, P = .001, and P < .001, respectively), while fatigue was more common in the second period (P = .008). The risk of a contact to be infected was three times higher in the second period (relative risk = 3.562 [2.414-5.258]). Conclusion An outbreak of SARS-CoV-2 in young healthy adults, during a period with high national-wide B.1.1.7 variant prevalence, is characterized by decreased prevalence of fever, loss of taste or smell and GI symptoms, increased reports of fatigue, and more infected contacts for each index case.
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