ZIKA VIRUS STRATEGIC RESPONSE FRAMEWORK FOR THE GULF STATES-2016: AN URGENT NEED FOR COLLABORATION.

The Zika virus (ZIKV) became the latest threat to global health security when WHO declared on 1t February 2016, that recently reported clusters of microcephaly and other neurological disorders in Brazil constitute a Public Health Emergency of International Concern (PHEIC). These clusters were reported concurrently with an outbreak of ZIKV, which has been ongoing in Brazil and other countries in the America region since 2015. A growing body of clinical and epidemiological data possibly leans towards a causal role for ZIKV as the occurrence of the clusters of microcephaly and other neurological disorders principally the Guillain-Barre' syndrome are associated in time and place with the ongoing ZIKV transmission in the America region. So far, Zika viral transmission has been documented in a total of 69 countries and territories with autochthonous transmission from 20I7 to 10 August 2016. The geographical range of ZIKV has been increasing steadily. Consid'ring the presence of competent vectors that transmit ZIKV in, some parts of the Gulf countries, and the close relationship with Brazil, a local transmission of the virus is plausible once the virus is introduced through travel. This review suggests the integration of epidemiologicalind entomological surveillance for monitoring and control of the vectors of ZIKV. The risks associated with ZIKV infection and the possible threat to the Gulf States was described. A strategic Zika response framework (SRF) for the Gulf States has been developed to meet'their,urgent need for a collaborative and coordinated response for prevention and spread of ZIKV infection. A coordinated response of all partners in the Gulf States across sectors and services at national, as well as, regional levels is required.

Impact of the Hajj on pneumococcal transmission.

Over two million Muslim pilgrims assemble annually in Mecca and Medina, Saudi Arabia, to complete the Hajj. The large number of people in a crowded environment increases the potential for pneumococcal carriage amplification. We evaluated pneumococcal carriage prevalence with four cross-sectional studies conducted at beginning-Hajj (Mecca) and end-Hajj (Mina) during 2011 and 2012. A questionnaire was administered and a nasopharyngeal swab was collected. The swab was tested for pneumococcus, serotype and antibiotic resistance. A total of 3203 subjects (1590 at beginning-Hajj and 1613 at end-Hajj) originating from 18 countries in Africa or Asia were enrolled. The overall pneumococcal carriage prevalence was 6.0%. There was an increase in carriage between beginning-Hajj and end-Hajj cohorts for: overall carriage (4.4% versus 7.5%, prevalence ratio (PR) 1.7, 95% CI 1.3-2.3), and carriage of 23-valent pneumococcal polysaccharide vaccine serotypes (2.3% versus 4.1%, PR 1.8, 95% CI 1.2-2.7), 13-valent pneumococcal conjugate vaccine (PCV) serotypes (1.1% versus 3.6%, PR 3.2, 95% CI 1.9-5.6), 10-valent PCV serotypes (0.6% versus 1.6%, PR 2.6, 95% CI 1.2-5.3), antibiotic non-susceptible isolates (2.5% versus 6.1%, PR 2.5, 95% CI 1.7-3.6) and multiple non-susceptible isolates (0.6% versus 2.2%, PR 3.8, 95% CI 1.8-7.9). Fifty-two different serotypes were identified, most commonly serotypes 3 (17%), 19F (5%) and 34 (5%). These results suggest that the Hajj may increase pneumococcal carriage-particularly conjugate vaccine serotypes and antibiotic non-susceptible strains, although the exact mechanism remains unknown. The Hajj may therefore provide a mechanism for the global distribution of pneumococci.

Screening for Middle East respiratory syndrome coronavirus infection in hospital patients and their healthcare worker and family contacts: a prospective descriptive study.

The Saudi Arabian Ministry of Health implemented a pro-active surveillance programme for Middle East respiratory syndrome (MERS) coronavirus (MERS-CoV). We report MERS-CoV data from 5065 Kingdom of Saudi Arabia individuals who were screened for MERS-CoV over a 12-month period. From 1 October 2012 to 30 September 2013, demographic and clinical data were prospectively collected from all laboratory forms received at the Saudi Arabian Virology reference laboratory. Data were analysed by referral type, age, gender, and MERS-CoV real-time PCR test results. Five thousand and 65 individuals were screened for MER-CoV: hospitalized patients with suspected MERS-CoV infection (n = 2908, 57.4%), healthcare worker (HCW) contacts (n = 1695; 33.5%), and family contacts of laboratory-confirmed MERS cases (n = 462; 9.1%). Eleven per cent of persons tested were children (<17 years of age). There were 108 cases (99 adults and nine children) of MERS-CoV infection detected during the 12-month period (108/5065, 2% case detection rate). Of 108 cases, 45 were females (six children and 39 adults) and 63 were males (three children and 60 adults). Of the 99 adults with MERS-CoV infection, 70 were hospitalized patients, 19 were HCW contacts, and ten were family contacts. There were no significant increases in MERS-CoV detection rates over the 12-month period: 2.6% (19/731) in July 2013, 1.7% (19/1100) in August 2013, and 1.69% (21/1238) in September 2013. Male patients had a significantly higher MERS-CoV infection rate (63/2318, 2.7%) than females (45/2747, 1.6%) (p 0.013). MERS-CoV rates remain at low levels, with no significant increase over time. Pro-active surveillance for MERS-CoV in newly diagnosed patients and their contacts will continue.

Saudi Arabia and the emergence of a novel coronavirus.

The novel coronavirus disease outbreak in Saudi Arabia in 2012 predominately affected males and those living in urban areas. Since September and October 2012, when the first 2 cases were published, a total of 15 confirmed cases have been reported. All but 2 have been linked to conuntries of the Arabian peninsula; Saudi Arabian nationals accounted for a majority, 8 in all, and only 1 case was female. Seven patients had severe pneumonia; 2 survived-1 with mild disease and 1 with significant underlying illness. Although transmission of the virus to health-care workers was suspected in Jordan's April 2012 outbreak, similar clusters have not been found in Saudi Arabia's hospitals, nor have additional cases been indentified through retrospective tracing of exposed health-care workers. Two family clusters have been identified, 1 in Riyadh and 1 in Manchester, England. A second Riyadh family cluster is being investigated.

Saudi Arabia and the emergence of a novel coronavirus

The novel coronavirus disease outbreak in Saudi Arabia in 2012 predominately affected males and those living in urban areas. Since September and October 2012, when the first 2 cases were published, a total of 15 confirmed cases have been reported. All but 2 have been linked to countries of the Arabian peninsula; Saudi Arabian nationals accounted for a majority, 8 in all, and only 1 case was female. Seven patients had severe pneumonia; 2 survived-1 with mild disease and 1 with significant underlying illness. Although transmission of the virus to health-care workers was suspected in Jordan's April 2012 outbreak, similar clusters have not been found in Saudi Arabia's hospitals, nor have additional cases been identified through retrospective tracing of exposed health-care workers. Two family clusters have been identified, 1 in Riyadh and 1 in Manchester, England. A second Riyadh family cluster is being investigated

Leaf position error during conformal dynamic arc and intensity modulated arc treatments.

Conformal dynamic arc (CD-ARC) and intensity modulated arc treatments (IMAT) are both treatment modalities where the multileaf collimator (MLC) can change leaf position dynamically during gantry rotation. These treatment techniques can be used to generate complex isodose distributions, similar to those used in fix-gantry intensity modulation. However, a beam-hold delay cannot be used during CD-ARC or IMAT treatments to reduce spatial error. Consequently, a certain amount of leaf position error will have to be accepted in order to make the treatment deliverable. Measurements of leaf position accuracy were taken with leaf velocities ranging from 0.3 to 3.0 cm/s. The average and maximum leaf position errors were measured, and a least-squares linear regression analysis was performed on the measured data to determine the MLC velocity error coefficient. The average position errors range from 0.03 to 0.21 cm, with the largest deviations occurring at the maximum achievable leaf velocity (3.0 cm/s). The measured MLC velocity error coefficient was 0.0674 s for a collimator rotation of 0 degrees and 0.0681 s for a collimator rotation of 90 degrees. The distribution in leaf position error between the 0 degrees and 90 degrees collimator rotations was within statistical uncertainty. A simple formula was developed based on these results for estimating the velocity-dependent dosimetric error. Using this technique, a dosimetric error index for plan evaluation can be calculated from the treatment time and the dynamic MLC leaf controller file.