On 20th September 2022, the Ministry of Health declared an outbreak of Sudan ebolavirus (EVD) after a case managed at Mubende Regional Referral Hospital (MRRH) in Mubende district was confirmed through testing at the Uganda Virus Research Institute (UVRI). Other cases were confirmed in Kyegegwa, Kasanda, Bunyangabu and Kagadi districts and as per the reporting date, 63 cases have been confirmed with 10 deaths. Other hazards reported include “floods”, “landslides” and “transport related accidents”. A total of 25,494 individuals were affected by EVD, floods, landslides and accidents hazards. And
displacing 7,308 individuals. Adults (19-64) were the most affected population group (54%), followed by children under 18
(40%) and the elderly above 64 (6%). The most pressing needs are health, shelter, non-food items and food assistance. So far in 2022, 117,938 individuals have been affected by disasters, representing 23,329 households. A total of 20,759 individuals representing 5,388 households have been internally displaced.

Since November 2021, 296,105 individuals have been displaced by drought in Gedo region. Since round 29, an estimated 6,628 IDPs arrived at the assessed settlements.

The DTM Emergency Tracking Tool (ETT) is deployed to track and to collect information on large and sudden population movements, provide frequent updates on the scale of displacement and quantify the affected population when needed. As a sub-component of the Mobility Tracking methodology in Nigeria, ETT utilises direct observation and a broad network of key informants to capture best estimates of the affected population per location, enabling targeted humanitarian response planning.

Between 26 September and 02 October 2022, a total of 1,854 new arrivals were recorded in locations in Adamawa and Borno States. The new arrivals were recorded at locations in Askira/Uba, Bama, Dikwa, Gwoza, Monguno, Ngala and Kala Balge Local Government Areas (LGAs) of the most conflict-affected state of Borno and in Fufore, Gombi, Girei, Hong, Maiha, Michika, Mubi South, Song, Yola North and Yola South LGAs of Adamawa State.

During the COVID-19 pandemic, IOM's Displacement Tracking Matrix (DTM), in collaboration with the World Health Organization (WHO), monitors cross-border movements to and from Nigeria's Borno State in north-east Nigeria. Assessments are conducted at Points of Entry located along the border with Cameroon.

A range of data was collected during the assessments to better inform on travellers’ nationalities, sex, reasons for moving, mode of transportation and timeline of movement as shown in figures 2 to 5 on the dashboard.

The Rainy Season in Sudan typically occurs on an annual basis with greatest concentration between the months of June and September. In 2021, all flooding EETs were implemented between the month of July and September. In 2022, DTM Sudan first implemented its EET to monitor flooding taking place in At Tadamon locality, South Kordofan in May. The need for the implementation of a flooding EET this early in the year reflects the fluctuating raining patterns across Sudan, particularly across the water basins of the two Nile rivers.

The information provided reflects published data collected by DTM Sudan’s Emergency Event Tracking tool up to 29 September 2022. Data collection exercises covering the Rainy Season remain ongoing with the rates of displacement data expected to decrease gradually as the rainy season is beyond its peak. Many localities still remain inaccessible to the humanitarian community due to the extreme weather patterns.

Since November 2021, 291,328 individuals have been displaced by drought in Gedo region. Since round 28, an estimated 7,076 IDPs arrived at the assessed settlements.

Since November 2021, 285,436 individuals have been displaced by drought in Gedo region. Since round 27, an estimated 8,590 IDPs arrived at the assessed settlements.

La vulnérabilité des migrant-e-s augmente le long des routes migratoires. En effet, ayant quitté leurs territoires d’origine et dépourvu de la protection de leurs communautés, les migrant-e-s sont exposé-e-s aux réseaux criminels qui mettent en place des mécanismes d'exploitation afin de tirer illégalement profit des plus vulnérables d’entre eux. De nombreux facteurs aggravent la vulnérabilité des migrant-e-s en général et celle de certaines catégories de migrant-e-s en particulier, notamment la féminisation progressive des flux migratoires, l'augmentation du nombre d'enfants migrants non accompagnés et séparés, et le renforcement des réseaux de traite des personnes bien établies le long des routes migratoires, visant particulièrement les enfants.

La préfecture de Mamou est l’une des préfectures avec le taux de départ le plus élevé pour peu de données fiables disponibles. Cette étude contribuera à pallier ce déficit de données et permettra in fine de mettre à disposition une analyse de données fiables pour faciliter la compréhension des tendances et dynamiques migratoires, les prises de décisions gouvernementales et institutionnelles en lien avec la migration, et de ce fait, améliorer les réponses à apporter pour limiter les conséquences négatives de la migration irrégulière. Au vu de l’évolution importante de ce phénomène migratoire en Guinée, il apparaît déterminant de collecter, traiter et analyser les données sur cette question. 

L’apparition de la pandémie de coronavirus (COVID-19) a en outre eu un impact sur les activités et opportunités socio-économiques des migrant-e-s mises en place pour les migrant-e-s de retour, y compris ceux/celles déjà réintégré-e-s à travers les activités génératrices de revenu (AGR) des migrant-e-s.

Afin de mieux comprendre les facteurs qui sous-tendent les nouvelles dynamiques migratoires irrégulières observées dans la préfecture de Mamou, identifier les impacts des épidémies sur les conditions socio-économiques des migrant-e-s et explorer des solutions pour assurer la protection et la sûreté des migrant-e-s qui quittent la préfecture de Mamou ; une mission de collecte des données conduite conjointement par l’Organisation Internationale pour les Migrations (OIM) et l’Institut National de la Statistique (INS) guinéen a mené une étude dans les localités de la commune urbaine de Mamou, (Tolo et Soyah) du 27 juillet au 4 août 2022 à travers les outils de la DTM.