This document provides information and recommendations for action, based on the current available knowledge around monkeypox. It is a first draft which will be updated in light of evolving evidence and additional information as they become available.
Learning from the Use of Data, Information, and Digital Technologies in the West Africa Ebola Outbreak Response
Profile of Health Crisis Response within District with High Disaster Risk: District of Kapuas, Indonesia
Profile of Health Crisis Response within District with High Risk of Disaster : District of North Bengkulu, Indonesia
Profile of Health Crisis Response within District with High Risk of Natural Disaster : District of Morotai Island, Indonesia
Profile of health crisis response within district, city or area in Indonesia with high risk of natural disaster : District of Bombana, Indonesia
Profile of health crisis response of district, city or area in Indonesia with high risk of natural disaster : District of Ketapang
Profile of health crisis response of area, city or district within Indonesia with high risk of natural disaster : District of Polewali Mandar, Indonesia
World J Meta-Anal. Aug 26, 2017; 5(4): 103-123
Published online Aug 26, 2017. doi: 10.13105/wjma.v5.i4.103
Department of Behavioural Medicine, Lagos State University College of Medicine Ikeja, Lagos Nigeria
Global Mental Health (2015), 2, e5, page 1 of 12. doi:10.1017/gmh.2015.8;
Received 29 January 2015; Revised 8 April 2015; Accepted 15 April 2015
Internationally, there is a growing concern over antimicro-bial resistance (AMR) which is currently estimated to ac-count for more than 700,000 deaths per year worldwide. If no appropriate measures are taken to halt its pro-gress, AMR will cost approximately 10 million lives andabout US$100 trillion... per year by 2050. In contrast tosome other health issues, AMR is a problem that con-cerns every country irrespective of its level of incomeand development as resistant pathogens do not respect borders.Despite the threat presented by AMR, the 2014 WorldHealth Organization (WHO) and the recent O’Neill re-port describe significant gaps in surveillance, standardmethodologies and data sharing. The 2014 WHOreport identified Africa and South East Asia as the regions without established AMR surveillance systems.
Tadesseet al. BMC Infectious Diseases (2017) 17:616 DOI 10.1186/s12879-017-2713-1
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Int J Hyg Environ Health. 2019 Jun; 222(5): 765–777. doi: 10.1016/j.ijheh.2019.05.004;
To develop updated estimates in response to new exposure and exposure-response data of the
burden of diarrhoea, respiratory infections, malnutrition, schistosomiasis, malaria, soil-transmitted helminth
infec...tions and trachoma from exposure to inadequate drinking-water, sanitation and hygiene behaviours
(WASH) with a focus on low- and middle-income countries.
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Trachoma is the leading infectious cause of blindness (2). It is characterized by repeated
conjunctival infection with particular strains of Chlamydia trachomatis. This scars the conjunctivae and,
in some cases, leads to trichiasis with or without entropion. The abrasive action of eyelashes can
d...amage the cornea. In 2018, trachoma affected the poorest residents of the poorest communities of 43
countries
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The WHO continuously reviews available data on SARS-CoV-2 variants of concern. For this version, the global epidemiological
situation of the COVID-19 pandemic as of 21 January 2022 – at a time when the Omicron VOC had been identified in 171
countries across all six WHO Regions and was rapidly re...placing Delta worldwide – was considered Omicron has a substantial growth advantage, higher secondary attack rates and a higher observed reproduction number than Delta.
There is now significant evidence that immune evasion contributes to the rapid spread of Omicron. Other factors may be a shorter
serial interval (by about 0.8 to 1.2 days compared to Delta) and potential increased intrinsic transmission fitness . There is
growing evidence that with Omicron, there is lower vaccine effectiveness (VE) against infection and symptomatic disease soon after vaccination compared to Delta. There is also evidence of accelerated waning of VE over time of the primary series against infection and symptomatic disease for the studied vaccines. Further studies are required to better understand the drivers of transmission and declining incidence in various settings. These factors include the intrinsic transmission fitness properties of the virus, degree of immune evasion, vaccination coverage and level of vaccine-derived and post-infection immunity, levels of social mixing and degree of application of public health and social measures (PHSM).
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