| Literature DB >> 32484225 |
David Segal1, Jacob Rotschield1, Ran Ankory1, Sergey Kutikov1, Bian Moaddi1, Guy Verhovsky1, Avi Benov1, Gilad Twig1, Elon Glassberg1, Noam Fink1, Tarif Bader1, Erez Karp1.
Abstract
INTRODUCTION: The COVID-19 outbreak posed a threat to the readiness of military forces as well as their ability to fulfill missions. Seeing that military forces have been encountering similar challenges, we found it eminent to share the Israeli Defense Force (IDF) Northern Command's (NC) preliminary experience.Entities:
Mesh:
Year: 2020 PMID: 32484225 PMCID: PMC7313862 DOI: 10.1093/milmed/usaa112
Source DB: PubMed Journal: Mil Med ISSN: 0026-4075 Impact factor: 1.437
FIGURE 1An algorithm for managing patients who were treated by the IDF NC medical teams and had respiratory symptoms or a fever during the COVID-19 outbreak in Israel. During the first 32 days after the first positive COVID-19 patient was diagnosed in Israel, rRT-PCR test were available only for “suspected cases” or “low suspicion” cases.
FIGURE 2A daily differentiation of COVID-19-related workforce decline, days 26–49 (7 days–1 month after most of the COVID-19-related restrictions were issued). During the presented period, rRT-PCT tests were limited to quarantined symptomatic patients, and no rRT-PCR or serum antibody serologic tests were available for other patients. Because of this limitation on day 26, we started to monitor the prevalence of respiratory symptoms and fever among soldiers on a daily basis as were reported by the medical teams. This enabled to trace illness trends within units and although we did not know how many of these soldiers actually had COVID-19. Day 0 represented the day on which the first COVID-19 patient was found positive for SARS-CoV-2 with rRT-PCR in Israel. We applied a 14 days quarantine on soldiers who have been in a close contact with a COVID-19 positive patient. Symptomatic: a patient with either a respiratory symptom or a fever above 38°C.
FIGURE 3The effect of the COVID-19 pandemic and related regulations on the number of physician encounters and sick leave days in the IDF NC’s battalions (year 2020) compared with the same period during 2019. Day 0 (February 26, 2020) represented the day on which the first COVID-19 patient was found positive for SARS-CoV-2 with rRT-PCR in Israel. The week numbers represent the time that passed from day 18, when most of the COVID-19-related regulations were issued. Among these regulations were a curfew that was applied on the battalions. Furthermore, all soldiers who had fever above 38°C or any respiratory symptoms were released on a sick leave. The difference between days 0–17 and the first 3 weeks was found to be statistically significant (P < 0.05) for both variables.
A Summary of Published Findings That Were Relevant for the Population Features in the IDF NC Battalions—age 18–45 and a male sex predominance.a The Novel Coronavirus Pneumonia Emergency Response Epidemiology Team, This Report Included All Confirmed COVID-19 Cases in China and Might Have Included Data From Other Reports From China That Were Presented in This Table
| Authors | Population features | Relevant information |
|---|---|---|
| Livingston and Bucher | Age 18–45 | This age group accounted for approximately 24% of the entire patient population. The case fatality rate in this age group was 0–0.4%. This was significantly lower than the total CFR of 7.2% in the same report, and 3.8% |
| Guan et al. | Age 18–45 | This age group accounted for approximately 51.1% of the entire patient population. In this age group, 12.03% of the patients had a severe fatality rate (compared to 31.18% in the rest of the patient population in the same report and 24.9–29.9% in the entire patient population in a Livingston and Bucher |
| Wu and McGoogan | Age 20–29 | This age group accounted for approximately 8% of the entire patient population |
| Zhang* | Age 20–29 | Out of 44,672 confirmed COVID-1 patients 8.1% were within this age group, and 36.2% were 20–49 years old |
| Zhou et al. | Sex differences | In all three papers, a male predominance was found among COVID-19 patients |
| Yang et al. | Sex differences | Male sex was associated with a more severe disease |
| Kon et al. | Sex differences | The association between male sex and a more severe disease was weak |
| Zhanga | Sex differences | Out of 44,672 confirmed COVID-1 patients, 51.4% were male |