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Publication Years
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809
37
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Category
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712
665
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210
95
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Toolboxes
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Profile of health crisis response of area, city and district in Indonesia with high risk of natural disaster : District of East Kutai, Indonesia
Profile of health crisis response of city, area or district in Indonesia with high risk of natural disaster : District of Ende, Indonesia
Profile of health crisis response of district, area or cities in Indonesia with high risk of natural disaster : District of Buton, Indonesia
Profile of health crisis response of district, area or cities in Indonesia with high risk of natural disaster : Kutai City, Indonesia
Profile of health crisis response of cities, area or districts in Indonesia with high risk of natural disaster : District of Kolaka, Indonesia
Hygiene Promotion In Emergencies
recommended
Communities affected by a disaster often lack basic water
and sanitation facilities. They are likely to be traumatized and
vulnerable to disease. Disruption of familiar practices or the
relocation to new environments can result in a deterioration
in existing hygiene behaviours. This, in turn, wi
...
ll contribute to
an increased risk of disease transmission and epidemics. This
technical note explains why hygiene promotion is important in
emergencies and describes how to carry it out.
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Profile of Crisis Response of District Health / Disaster Risk: District of South Central Timor, Indonesia
Profile of Health Crisis Response within District with High Risk of Natural Disaster : District of Lebong, Indonesia
Profile of Health Crisis Response within District with High Risk of Natural Disaster : District of North Halmahera, Indonesia
Profile of Health Crisis Response within District with High Risk of Natural Disaster : District of Landak, Indonesia
Guidelines of Contingency Planning for Disaster Management in Indonesia
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 Disaster : District of Muna, Indonesia
Each year, ≈795 000 individuals in the United States experience a stroke, of which 87% (690 000) are ischemic and 185 000 are recurrent.1 Approximately 240 000 individuals experience a transient ischemic attack (TIA) each year.2 The risk o
...
f recurrent stroke or TIA is high but can be mitigated with appropriate secondary stroke prevention. In fact, cohort studies have shown a reduction in recurrent stroke and TIA rates in recent years as secondary stroke prevention strategies have improved.3,4 A meta-analysis of randomized controlled trials (RCTs) of secondary stroke prevention therapies published from 1960 to 2009 showed a reduction in annual stroke recurrence from 8.7% in the 1960s to 5.0% in the 2000s, with the reduction driven largely by improved blood pressure (BP) control and use of antiplatelet therapy.5 The changes may have been influenced by changes in diagnostic criteria and differing sensitivities of diagnostic tests over the years.
more
Read and share this easy-to-understand content about the ABCS of heart health (Aspirin when appropriate, Blood pressure control, Cholesterol management, and Smoking cessation).
Profile of Health Crisis Response within District with High Risk of Disaster : West Halmahera-District, Indonesia
Profile of Health Crisis Response of District with High Risk of Natural Disaster : District of North Kolaka, Indonesia
BMJ Global Health, Vol.5 No. 12Spatial subdivision of the camp (‘sectoring’) was able to ‘flatten the curve’, reducing peak infection by up to 70% and delaying peak infection by up to several months. The use of face masks coupled with the efficient isolation of infected individuals reduced t
...
he overall incidence of infection, and sometimes averted epidemics altogether. These interventions must be implemented quickly in order to be maximally effective. Lockdowns had only small effects on COVID-19 dynamics.
Conclusions
Agent-based models are powerful tools for forecasting the spread of disease in spatially structured and heterogeneous populations. Our findings suggest that feasible interventions can slow the spread of COVID-19 in a refugee camp setting, and provide an evidence base for camp managers planning intervention strategies. Our model can be modified to study other closed populations at risk from COVID-19 or future epidemics.
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Profile of health crisis response within district, city or area in Indonesia with high risk of natural disaster : District of Bombana, Indonesia
