New Variants and Age Shift to High Fatality Groups Contribute to Severe Successive Waves in the 2009 Influenza Pandemic in Taiwan

Past influenza pandemics have been characterized by the signature feature of multiple waves. However, the reasons for multiple waves in a pandemic are not understood. Successive waves in the 2009 influenza pandemic, with a sharp increase in hospitalized and fatal cases, occurred in Taiwan during the winter of 2010. In this study, we sought to discover possible contributors to the multiple waves in this influenza pandemic. We conducted a large-scale analysis of 4703 isolates in an unbiased manner to monitor the emergence, dominance and replacement of various variants. Based on the data from influenza surveillance and epidemic curves of each variant clade, we defined virologically and temporally distinct waves of the 2009 pandemic in Taiwan from May 2009 to April 2011 as waves 1 and 2, an interwave period and wave 3. Except for wave 3, each wave was dominated by one distinct variant. In wave 3, three variants emerged and co-circulated, and formed distinct phylogenetic clades, based on the hemagglutinin (HA) genes and other segments. The severity of influenza was represented as the case fatality ratio (CFR) in the hospitalized cases. The CFRs in waves 1 and 2, the interwave period and wave 3 were 6.4%, 5.1%, 15.2% and 9.8%, respectively. The results highlight the association of virus evolution and variable influenza severity. Further analysis revealed that the major affected groups were shifted in the waves to older individuals, who had higher age-specific CFRs. The successive pandemic waves create challenges for the strategic preparedness of health authorities and make the pandemic uncertain and variable. Our findings indicate that the emergence of new variants and age shift to high fatality groups might contribute potentially to the occurrence of successive severe pandemic waves and offer insights into the adjustment of national responses to mitigate influenza pandemics

Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods

Gibbons CL, Mangen M-JJ, Plaß D, et al. Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods. BMC Public Health. 2014;14(1): 147.Background: Efficient and reliable surveillance and notification systems are vital for monitoring public health and disease outbreaks. However, most surveillance and notification systems are affected by a degree of underestimation (UE) and therefore uncertainty surrounds the 'true' incidence of disease affecting morbidity and mortality rates. Surveillance systems fail to capture cases at two distinct levels of the surveillance pyramid: from the community since not all cases seek healthcare (under-ascertainment), and at the healthcare-level, representing a failure to adequately report symptomatic cases that have sought medical advice (underreporting). There are several methods to estimate the extent of under-ascertainment and underreporting. Methods: Within the context of the ECDC-funded Burden of Communicable Diseases in Europe (BCoDE)-project, an extensive literature review was conducted to identify studies that estimate ascertainment or reporting rates for salmonellosis and campylobacteriosis in European Union Member States (MS) plus European Free Trade Area (EFTA) countries Iceland, Norway and Switzerland and four other OECD countries (USA, Canada, Australia and Japan). Multiplication factors (MFs), a measure of the magnitude of underestimation, were taken directly from the literature or derived (where the proportion of underestimated, under-ascertained, or underreported cases was known) and compared for the two pathogens. Results: MFs varied between and within diseases and countries, representing a need to carefully select the most appropriate MFs and methods for calculating them. The most appropriate MFs are often disease-,country-, age-, and sex-specific. Conclusions: When routine data are used to make decisions on resource allocation or to estimate epidemiological parameters in populations, it becomes important to understand when, where and to what extent these data represent the true picture of disease, and in some instances (such as priority setting) it is necessary to adjust for underestimation. MFs can be used to adjust notification and surveillance data to provide more realistic estimates of incidence

Factors associated with severe preeclampsia and eclampsia in Jahun, Nigeria

Gilles Guerrier,1 Bukola Oluyide,2 Maria Keramarou,1 Rebecca Grais11Epicentre, Paris, France; 2M&eacute;decins Sans Fronti&egrave;res, Paris, FranceObjective: To explore traditional herbal medicines as potential risk factors of severe preeclampsia and eclampsia in Nigeria.Methods: We conducted a retrospective case-control study from October 2010 to May 2011. The cases were all pregnant women admitted to the Jahun Hospital during the study period with severe preeclampsia or eclampsia and women presenting with normal pregnancy after 22 weeks.Results: During the study period, a total of 1,257 women (44%) were recorded as having normal pregnancy, and 419 (16%) women had severe preeclampsia/eclampsia (175 with severe preeclampsia and 244 with eclampsia). The risk factors found to be associated with a greater risk of severe preeclampsia/eclampsia included personal history of preeclampsia (odds ratio [OR] = 21.5; P < 0.001), personal history of preexisting hypertension (OR = 10.5; P < 0.001), primiparity (OR = 2.5; P = 0.001), occupation as housewife (OR = 1.9; P = 0.008), and fewer than four antenatal care visits (OR = 1.6; P = 0.02). Use of traditional treatments during pregnancy was associated with a higher risk of developing severe preeclampsia/eclampsia (OR = 1.6 95%; confidence interval [CI]: 1.2-2.1) by univariate analysis only.Conclusion: Use of traditional treatment, which increases delays before consulting the official health sector, might be a marker for harmful behavior. Community-based studies could provide additional information on the practice of herbal therapy in this population.Keywords: hypertensive disorders, pregnancy, traditional treatments, herbal us

Factors associated with severe preeclampsia and eclampsia in Jahun, Nigeria

To explore traditional herbal medicines as potential risk factors of severe preeclampsia and eclampsia in Nigeria

High maternal and neonatal mortality rates in northern Nigeria: an 8-month observational study

Despite considerable efforts to reduce the maternal mortality ratio, numerous pregnant women continue to die in many developing countries, including Nigeria. We conducted a study to determine the incidence and causes of maternal mortality over an 8-month period in a rural-based secondary health facility located in Jahun, northern Nigeria

Legionella spp. Colonization in water systems of hotels linked with travel-associated legionnaires’ disease

Hotel water systems colonized with Legionella spp. have been the source of travel-associated Legionnaires’ disease, and cases, clusters and outbreaks continue to be reported worldwide each year. A total of 132 hotels linked with travel-associated Legionnaires’ disease, as reported through the European Legionnaires’ Disease Surveillance Network, were inspected and tested for Legionella spp. during 2000–2019 by the public health authorities of the island of Crete (Greece). A total of 3311 samples were collected: 1885 (56.93%) from cold water supply systems, 1387 (41.89%) from hot water supply systems, 37 (1.12%) were swab samples and two (0.06%) were soil. Of those, 685 (20.69%), were collected from 83 (62.89%) hotels, testing positive (_50 CFU/L) for Legionella pneumophila) serogroups 1–10, 12–14 and non-pneumophila species (L. anisa, L. erythra, L. tusconensis, L. taurinensis, L. birminghamensis, L. rubrilucens, L. londiniesis, L. oakridgensis, L. santicrusis, L. brunensis, L. maceacherii). The most frequently isolated L. pneumophila serogroups were 1 (27.92%) and 3 (17.08%). Significantly higher isolation rates were obtained from hot water supply systems (25.96%) versus cold water systems (16.98%) and swab samples (13.51%). A Relative Risk (R.R.) > 1 (p < 0.0001) was calculated for hot water temperature <55 _C (R.R.: 4.43), chlorine concentrations <0.2 mg/L (R.R.: 2.69), star ratings <4 (R.R.: 1.73) and absence of Water Safety Plan implementation (R.R.: 1.57). © 2021 by the authors. Licensee MDPI, Basel, Switzerland