This study aimed to estimate excess mortality during the COVID-19 pandemic in Oran between March 2020 and December 2022.
Monthly all-cause data used to estimate excess mortality were modeled against the pre-pandemic period (January 2011-February 2020). Excess mortality between March 2020 and December 2022 was estimated using a quasi-Poisson regression. Analyses were stratified by age group.
From March 2020 to December 2022, there was a 30% excess mortality rate, corresponding to an average of 112 monthly excess deaths. Observed numbers of deaths were higher than expected for the age groups 20–39, 40–59, 60–79, and 80 and above. The age group 0–19 did not show excess mortality.
The COVID-19 pandemic has been associated with a significant increase in all-cause mortality in Oran. Our results highlight the importance of monitoring all-cause excess mortality as an indicator of the disease burden in situations such as the current pandemic.
Cette étude avait pour objectif d’estimer la surmortalité pendant la pandémie de la COVID-19 à Oran entre mars 2020 et décembre 2022.
Les données mensuelles toutes causes confondues utilisées pour estimer la surmortalité ont été modélisées par rapport à la période pré-pandémique (janvier 2011 à février 2020). La surmortalité entre mars 2020 et décembre 2022 a été estimée à l’aide d’une régression de quasi-Poisson. Les analyses ont été stratifiées par groupes d’âge.
De mars 2020 à décembre 2022, le taux de surmortalité était de 30 %, correspondant à une moyenne de 112 décès excédentaires mensuels. Le nombre de décès observés était plus élevé que prévu pour les groupes d’âge 20-39 ans, 40-59 ans, 60-79 ans et 80 ans et plus. Le groupe d’âge 0-19 ans n’a pas montré de surmortalité.
La pandémie de COVID-19 a été associée à une augmentation significative de la mortalité toutes causes confondues à Oran. Nos résultats mettent en évidence l’importance de surveiller la surmortalité toutes causes confondues en tant qu’indicateur de la charge de morbidité dans des situations telles que la pandémie actuelle.

BACKGROUND: Evaluating mortality effects of the COVID-19 pandemic using all-cause mortality data for national populations is inevitably associated with the risk of masking important subnational differentials and hampering targeted health policies. This study aims at assessing simultaneously cause-specific, spatial and seasonal mortality effects attributable to the pandemic in Germany in 2020.
METHODS: Our analyses rely on official cause-of-death statistics consisting of 5.65 million individual death records reported for the German population during 2015-2020. We conduct differential mortality analyses by age, sex, cause, month and district (N = 400), using decomposition and standardisation methods, comparing each strata of the mortality level observed in 2020 with its expected value, as well as spatial regression to explore the association of excess mortality with pre-pandemic indicators.
RESULTS: The spatial analyses of excess mortality reveal a very heterogenous pattern, even within federal states. The coastal areas in the north were least affected, while the south of eastern Germany experienced the highest levels. Excess mortality in the most affected districts, with standardised mortality ratios reaching up to 20%, is driven widely by older ages and deaths reported in December, particularly from COVID-19 but also from cardiovascular and mental/nervous diseases.
CONCLUSIONS: Our results suggest that increased psychosocial stress influenced the outcome of excess mortality in the most affected areas during the second lockdown, thus hinting at possible adverse effects of strict policy measures. It is essential to accelerate the collection of detailed mortality data to provide policymakers earlier with relevant information in times of crisis.

BACKGROUND: All-cause excess mortality is a comprehensive measure of the combined direct and indirect effects of COVID-19 on mortality. Estimates are usually derived from Civil Registration and Vital Statistics (CRVS) systems, but these do not include non-registered deaths, which may be affected by changes in vital registration coverage over time.
METHODS: Our analytical framework and empirical strategy account for registered mortality and under-registration. This provides a better estimate of the actual mortality impact of the first wave of the COVID-19 pandemic in Peru. We use population and crude mortality rate projections from Peru\'s National Institute of Statistics and Information (INEI, in Spanish), individual-level registered COVID-19 deaths from the Ministry of Health (MoH), and individual-level registered deaths by region and age since 2017 from the National Electronic Deaths Register (SINADEF, in Spanish).We develop a novel framework combining different estimates and using quasi-Poisson models to estimate total excess mortality across regions and age groups. Also, we use logistic mixed-effects models to estimate the coverage of the new SINADEF system.
RESULTS: We estimate that registered mortality underestimates national mortality by 37•1% (95% CI 23% - 48•5%) across 26 regions and nine age groups. We estimate total all-cause excess mortality during the period of analysis at 173,099 (95% CI 153,669 - 187,488) of which 108,943 (95% CI 96,507 - 118,261) were captured by the vital registration system. Deaths at age 60 and over accounted for 74•1% (95% CI 73•9% - 74•7%) of total excess deaths, and there were fewer deaths than expected in younger age groups. Lima region, on the Pacific coast and including the national capital, accounts for the highest share of excess deaths, 87,781 (95% CI 82,294 - 92,504), while in the opposite side regions of Apurimac and Huancavelica account for less than 300 excess deaths.
CONCLUSIONS: Estimating excess mortality in low- and middle-income countries (LMICs) such as Peru must take under-registration of mortality into account. Combining demographic trends with data from administrative registries reduces uncertainty and measurement errors. In countries like Peru, this is likely to produce significantly higher estimates of excess mortality than studies that do not take these effects into account.
BACKGROUND: None.

Ludwig\'s angina is characterized by inflammation of the sublingual and submandibular spaces and is mainly caused by odontogenic infection, which leads to cellulitis of the soft tissues of the floor of the mouth and the neck. This causes asphyxia due to elevation and posterior deviation of the tissues of the floor of the mouth. We report a fatal case of airway obstruction due to Ludwig\'s angina. A woman in her forties who had no physical complications, but had a mental illness, was undergoing outpatient dental treatment for caries in the first premolar of the left mandible. She was admitted to a psychiatric hospital because of insomnia caused by pain, where she developed cardiopulmonary arrest while sleeping and died 14 days after onset of the dental infection. Postmortem computed tomography (PMCT) prior to autopsy showed swelling of the soft tissues-from the floor of the mouth to the oropharyngeal cavity, the supraglottic larynx, and the prevertebral tissue. Autopsy revealed a markedly swollen face and neck, an elevated tongue, and a highly edematous epiglottis and laryngopharyngeal mucosa. There was also cellulitis and abscess of the facial, suprahyoid, and neck musculature, which suggested that the cause of death was asphyxiation due to airway obstruction. This was an alarming case, with mental illness leading to risk of severe odontogenic infection, and in which obesity and use of antipsychotic medication might have acted synergistically leading to airway obstruction. This is also a case of Ludwig\'s angina captured by PMCT, which has rarely been reported.

Radon is a radioactive gas that can migrate from soils and rocks and accumulate in indoor areas such as dwellings and buildings. Many studies have shown a strong association between the exposure to radon, and its decay products, and lung cancer (LC), particularly in miners. In Mexico, according to published surveys, there is evidence of radon exposure in large groups of the population, nevertheless, only few attention has been paid to its association as a risk factor for LC. The aim of this ecological study is to evaluate the excess risk of lung cancer mortality in Mexico due to indoor radon exposure. Mean radon levels per state of the Country were obtained from different publications and lung cancer mortality was obtained from the National Institute of Statistics, Geography and Informatics for the period 2001-2013. A model proposed by the International Commission on Radiological Protection to estimate the annual excess risk of LC mortality (per 105 inhabitants) per dose unit of radon was used. The average indoor radon concentrations found rank from 51 to 1863 Bq m-3, the higher average dose exposure found was 3.13 mSv year-1 in the north of the country (Chihuahua) and the mortality excess of LC cases found in the country was 10 ± 1.5 (range 1-235 deaths) per 105 inhabitants. The highest values were found mainly in the Northern part of the country, where numerous uranium deposits are found, followed by Mexico City, the most crowded and most air polluted area in the country. A positive correlation (r = 0.98 p < 0.0001) was found between the excess of LC cases and the dose of radon exposure. Although the excess risk of LC mortality associated with indoor radon found in this study was relatively low, further studies are needed in order to accurately establish its magnitude in the country.