2017
DOI: 10.1101/228445
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Excess mortality in Guadeloupe and Martinique, islands of the French West Indies, during the chikungunya epidemic of 2014

Abstract: In some chikugunya epidemics, deaths are not fully captured by the traditional surveillance system, based on case reports and death reports. This is a time series study to evaluate the excess of mortality associated with epidemic of chikungunya virus (CHIKV) in Guadeloupe and Martinique, Antilles, 2014. The population (total 784,097 inhabitants) and mortality data estimated by sex and age were accessed at the Institut National de la Statistique et des Etudes Economiques - France. Age adjusted mortality rates w… Show more

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Cited by 5 publications
(9 citation statements)
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“…This is not surprising since other viruses such as influenza and chikungunya also have a mortality burden that is often higher than that reported from etiological investigations of patients. Mortality associated with these viruses can be better assessed by calculating the excess mortality that occurs during the periods of the epidemic 14,15 . Using a similar methodology, it can be estimated that in New York city, the number of excess deaths during the first 4 weeks of the epidemic was 12,547, while the conventional epidemiological surveillance was only able to identify 7,186 deaths due to COVID-19, which accounted for 57% of the excess deaths during the period 16 .…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…This is not surprising since other viruses such as influenza and chikungunya also have a mortality burden that is often higher than that reported from etiological investigations of patients. Mortality associated with these viruses can be better assessed by calculating the excess mortality that occurs during the periods of the epidemic 14,15 . Using a similar methodology, it can be estimated that in New York city, the number of excess deaths during the first 4 weeks of the epidemic was 12,547, while the conventional epidemiological surveillance was only able to identify 7,186 deaths due to COVID-19, which accounted for 57% of the excess deaths during the period 16 .…”
Section: Discussionmentioning
confidence: 99%
“…However, this limitation is restricted to the analysis of the excess of deaths from respiratory causes since the cause of death does not affect the assessment of mortality from all causes. Another limitation related to the use of notary data is that in this system, the data are available only for the years 2019 and 2020; therefore, we were unable to calculate the average mortality rate over several years, which would have been beneficial 15,16 . Despite these limitations, the results were consistent across all age groups severely affected by the pandemic, and there was a strong correlation between the mortality documented in the official surveillance system and excess mortality.…”
Section: /8mentioning
confidence: 99%
“…This is not an unexpected finding, since other viruses such as influenza and chikungunya are also characterized by a mortality burden that is often greater than that measured through the etiological investigation of each patient. Mortality associated with these viruses can be better assessed by calculating the excess mortality that occurs in periods of epidemic [13,14]. Using a similar methodology, it is possible to estimate that in New York City the excess of deaths in the first four weeks was 12547 and, however, conventional epidemiological surveillance was able to identify 7186 deaths from COVID-19, 57% of the excess deaths in the same period [15].…”
Section: Discussionmentioning
confidence: 99%
“…We emphasize that this limitation is restricted to the analysis of the excess of deaths from respiratory causes, since the cause of death does not interfere in the assessment of mortality from all causes. Another limitation related to the use of data from the registry offices is that in this system only data are available for the years 2019 and 2020, therefore, it was not possible to use an average mortality rate of several years as would be the most appropriate [14,15]. Even with these limitations, the results were quite consistent, showing the most affected ages and there was a strong correlation between the mortality found in the official surveillance system and excess mortality, in addition, the period of increase in mortality was coincident with the pandemic.…”
Section: Discussionmentioning
confidence: 99%
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