Adult Bemisia tabaci (Gennadius) were tested with imidacloprid in a bioassay method using systemically treated cotton leaves. The method was simple, robust and repeatable and provided baseline data for a laboratory and a number of recently collected field strains. The LC 50 for imidacloprid susceptible strains was calculated to be 1.7 ppm and a concentration of 16 ppm determined as diagnostic for imidacloprid resistance. Ten strains of B. tabaci collected from the Almeria region of Spain showed significantly less mortality at the diagnostic dose than the susceptible strains. The intensive use of imidacloprid in the Almeria region is considered the reason for the occurrence of resistance in this locality. Resistance to organophosphates, pyrethroids and endosulfan in B-type and non-B type B. tabaci did not confer resistance to imidacloprid.

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The global COVID-19 outbreak is worrisome both for its high rate of spread, and the high case fatality rate reported by early studies and now in Italy. We report a new methodology, the Patient Information Based Algorithm (PIBA), for estimating the death rate of a disease in real-time using publicly available data collected during an outbreak. PIBA estimated the death rate based on data of the patients in Wuhan and then in other cities throughout China. The estimated days from hospital admission to death was 13 (standard deviation (SD), 6 days). The death Science of the Total Environment 727 (2020) 138394 rates based on PIBA were used to predict the daily numbers of deaths since the week of February 25, 2020, in China overall, Hubei province, Wuhan city, and the rest of the country except Hubei province. The death rate of COVID-19 ranges from 0.75% to 3% and may decrease in the future. The results showed that the real death numbers had fallen into the predicted ranges. In addition, using the preliminary data from China, the PIBA method was successfully used to estimate the death rate and predict the death numbers of the Korean population. In conclusion, PIBA can be used to efficiently estimate the death rate of a new infectious disease in real-time and to predict future deaths. The spread of 2019-nCoV and its case fatality rate may vary in regions with different climates and temperatures from Hubei and Wuhan. PIBA model can be built based on known information of early patients in different countries.

Patients with severe SCA and their parents can identify their treatment preferences. Improved understanding of their preferences and decision-making process will aid in the design of future clinical trials and in medical decision-making.

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Educational efforts alone are not sufficient to ensure compliance with penicillin prophylaxis. Routinely monitoring compliance through pharmacy records, reviewing parental beliefs about sickle cell disease and infections, and exploring barriers to treatment will promote dialogue about the importance of strict compliance with this relatively simple yet life-saving prophylaxis.

The death of an infant in the neonatal intensive care unit (NICU) is a profound and unexpected loss for parents that results in a complex process of coping with bereavement. A descriptive qualitative approach was used to explore parent bereavement and coping experiences after infant death in the NICU. The dual process model of coping with bereavement was used as a conceptual framework to help understand how parents cope with grief after infant death. Living with infant death was a process that resulted in major life changes and a process of oscillating among various coping strategies.