During the reporting period no significant rainfall was recorded in Cox’s Bazar: this past week brought 29 mm of rain in comparison to 115.25 mm for the previous week. As expected, far fewer weather hazard incidents were recorded in the Rohingya c
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amps: 69 individuals (16 HH) were affected by landslide and wind-storm incidents, versus 660 individuals (155 HH) affected the previous week by fire, flood, water-logging, landslide and wind-storm incidents. Taking advantage of the dry weather, relocation of families at high risk of landslide and flood continues; during the last two weeks a total of 963 individuals (236 HH) were relocated to Camp 4 Extension and Camp 20 Extension. Dry weather also allowed for increased risk mitigation activities.
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Update - 27 June 2018
During the reporting week, the monsoon rains brought 252 mm of rainfall compared to 95 mm during the previous week. The downpour caused 65% of the week’s weather-related incidents (i.e. landslides, wind-storms and floods). Three rain gauges were installed in Chakmarkul (
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near Camp 21), Camp 16 and Kutupalong, complementing existing rain gauges in Cox’s Bazar and Teknaf, as well as the Meteorological Station installed by Samaritan Purse in Camp 12. This network of rain gauges provides localized rainfall data at regular intervals throughout the day, which will allow the humanitarian community to better monitor, anticipate and respond to developments within the camps. Relocation of families at risk of landslides and flooding continued; a total of some 200 families have already moved to Camp 20 Extension and more than 100 families to Camp Extension 4. Repair of access roads, culverts, bridges and infrastructure is ongoing with continued attention to preparing for further heavy rains.
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Camp profile focused for the effective and efficient coordination
at camp level; continuity of service monitoring as per the
minimum or sectors’ standard; care and maintenance of the
service provisions; and immediate future planning for bridging
the gaps.
Survey report
Four health surveys were performed in Kutupalong Makeshift Settlment (KMS), Balukhali Makeshift Settlement (BMS), Kutupalong Makeshift Settlement Extension (KMS Extension) and Balukhali Makeshift Settlement Extension (BMS Extension). These sites were chosen to ensure that the health
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status and conditions were measured in both the new settlements and the pre-existing settlements. The surveys measured current and retrospective mortality, the main morbidities affecting the population, global and severe acute malnutrition rates, vaccination coverage rates for key antigens and health-seeking behaviour. Simple random sampling was used with a recall period from 25th February 2017 until the date of interview (30th October to 12th November): approximately 260 days.
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covering 05th June - 20th June
Public Health Situation Analysis and Interventions 10 October 2017
OM Bangladesh Needs and Population Monitoring (NPM) is part of the IOM’s global Displacement Tracking Matrix (DTM) programming. DTM is IOM’s information management system to track and monitor population displacement during crises. Composed of several tools and processes, DTM regularly captures a
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nd analyzes multilayered data and disseminates information products that us help better understand the evolving needs of the displaced population, whether on site or en route.
As of Janurary 2018, NPM Bangladesh has two ongoing regular data collection and information management components, the NPM Site Assessment (SA) and the NPM Flow Monitoring (FM). These are designed to complement each other to provide a complete coverage of popuation movements over time.
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Children living in humanitarian crises face an increased risk of abuse. While the threats of harm are increasing, the established systems in place to protect them are breaking down. Faced with the COVID-19 pandemic and its impacts, vulnerable families suffer multiple hardships. Schools are closed an
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d families have been pushed to the brink of poverty, sometimes having been denied the opportunity to protect and provide for their children.
The report provides an in-depth analysis of 19 Humanitarian Response Plans and Refugee Response Plans from 2019
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At the end of 2023, an estimated 117.3 million people worldwide were forcibly displaced due to persecution, conflict, violence, human rights violations and events seriously disturbing the public order. The latest Global Trends report, published in June 2024, provides key statistical trends on forc
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ed displacement. It includes the latest official statistics on refugees, asylum-seekers, internally displaced and stateless people, as well as the number of refugees who have returned home
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OECD Development Policy Tools
Recognising that donor policies and responses constantly evolve, this guidance recommends that donors operating in situations of forced displacement prioritise three broad areas of work, where they can best contribute to existing capacities at the national, regiona
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l and global levels.
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Over 244,000 displaced people remain in camps or camp-like situations in Kachin, Shan, Rakhine
and Kayin states. Children make up at least 50 per cent of this population, while women and„Myanmar: 2019 Humanitarian Needs Overview - Myanmar“. ReliefWeb. Zugegriffen 4. Januar 2019. https://reliefw
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eb.int/report/myanmar/myanmar-2019-humanitarian-needs-overview.
children together make up about 77 per cent. This includes approximately 97,000 people in
Kachin, 8,800 in Shan and 10,300 in Kayin who remain displaced as a result of the armed conflict.
It also includes about 128,000 people in Rakhine, the vast majority of whom are stateless, who
were displaced as a result of the violence in 2012.
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Thematic Report– 3 April 2020
ACAPS Risk Analysis: COVID19
info@acaps.org
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
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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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