49 research outputs found
Analysing Spatio-Temporal Clustering of Meningococcal Meningitis Outbreaks in Niger Reveals Opportunities for Improved Disease Control
Meningococcal meningitis (MM) is an infection of the meninges caused by a bacterium, Neisseria meningitidis, transmitted through respiratory and throat secretions. It can cause brain damage and results in death in 5–15% of cases. Large epidemics of MM occur almost every year in sub-Saharan Africa during the hot, dry season. Understanding how epidemics emerge and spread in time and space would help public health authorities to develop more efficient strategies for the prevention and the control of meningitis. We studied the spatio-temporal distribution of MM cases in Niger from 2002 to 2009 at the scale of the health centre catchment areas (HCCAs). We found that spatial clusters of cases most frequently occurred within nine districts out of 42, which can assist public health authorities to better adjust allocation of resources such as antibiotics or rapid diagnostic tests. We also showed that the epidemics break out in different HCCAs from year to year and did not follow a systematic geographical direction. Finally, this analysis showed that surveillance at a finer spatial scale (health centre catchment area rather than district) would be more efficient for public health response: outbreaks would be detected earlier and reactive vaccination would be better targeted
Immunogenicity of Fractional Doses of Tetravalent A/C/Y/W135 Meningococcal Polysaccharide Vaccine: Results from a Randomized Non-Inferiority Controlled Trial in Uganda
Meningitis are infections of the lining of the brain and spinal cord and can cause high fever, blood poisoning, and brain damage, as well as result in death in up to 10% of cases. Epidemics of meningitis occur almost every year in parts of sub-Saharan Africa, throughout a high-burden area spanning Senegal to Ethiopia dubbed the “Meningitis Belt.” Most epidemics in Africa are caused by Neisseria meningitidis (mostly serogroup A and W135). Mass vaccination campaigns attempt to control epidemics by administering meningococcal vaccines targeted against these serogroups, among others. However, global shortages of these vaccines are currently seen. We studied the use of fractional (1/5 and 1/10) doses of a licensed vaccine to assess its non-inferiority compared with the normal full dose. In a randomized trial in Uganda, we found that immune response and safety using a 1/5 dose were comparable to full dose for three serogroups (A, Y, W135), though not a fourth (C). In light of current shortages of meningococcal vaccines and their importance in fighting meningitis epidemics around the world, we suggest fractional doses be taken under consideration in mass vaccination campaigns
Human African Trypanosomiasis in South Sudan: How Can We Prevent a New Epidemic?
Human African trypanosomiasis (HAT) has been a major public health problem in South Sudan for the last century. Recurrent outbreaks with a repetitive pattern of responding-scaling down activities have been observed. Control measures for outbreak response were reduced when the prevalence decreased and/or socio-political crisis erupted, leading to a new increase in the number of cases. This paper aims to raise international awareness of the threat of another outbreak of sleeping sickness in South Sudan. It is a review of the available data, interventions over time, and current reports on the status of HAT in South Sudan. Since 2006, control interventions and treatments providing services for sleeping sickness have been reduced. Access to HAT diagnosis and treatment has been considerably diminished. The current status of control activities for HAT in South Sudan could lead to a new outbreak of the disease unless 1) the remaining competent personnel are used to train younger staff to resume surveillance and treatment in the centers where HAT activities have stopped, and 2) control of HAT continues to be given priority even when the number of cases has been substantially reduced. Failure to implement an effective and sustainable system for HAT control and surveillance will increase the risk of a new epidemic. That would cause considerable suffering for the affected population and would be an impediment to the socioeconomic development of South Sudan
Domergue-Cloarec (Danielle) : La santé en Côte-d'Ivoire (1905-1958). Politique française et réalités coloniales : la santé en Côte-d'Ivoire (1905-1958). Préface du Dr J. Voekkel
Lapeyssonnie L. Domergue-Cloarec (Danielle) : La santé en Côte-d'Ivoire (1905-1958). Politique française et réalités coloniales : la santé en Côte-d'Ivoire (1905-1958). Préface du Dr J. Voekkel. In: Revue française d'histoire d'outre-mer, tome 77, n°287, 2e trimestre 1990. pp. 255-256
Domergue-Cloarec (Danielle) : La santé en Côte-d'Ivoire (1905-1958). Politique française et réalités coloniales : la santé en Côte-d'Ivoire (1905-1958). Préface du Dr J. Voekkel
Lapeyssonnie L. Domergue-Cloarec (Danielle) : La santé en Côte-d'Ivoire (1905-1958). Politique française et réalités coloniales : la santé en Côte-d'Ivoire (1905-1958). Préface du Dr J. Voekkel. In: Revue française d'histoire d'outre-mer, tome 77, n°287, 2e trimestre 1990. pp. 255-256
Modelling meningococcal meningitis in the African meningitis belt
Meningococcal meningitis is a major public health problem in a large area of sub-Saharan Africa
known as the meningitis belt. Disease incidence increases every dry season, before dying out with
the first rains of the year. Large epidemics, which can kill tens of thousands of people, occur
frequently but unpredictably every 6–14 years. It has been suggested that these patterns may be
attributable to complex interactions between the bacteria, human hosts and the environment.
We used deterministic compartmental models to investigate how well simple model structures
with seasonal forcing were able to qualitatively capture these patterns of disease. We showed that
the complex and irregular timing of epidemics could be caused by the interaction of temporary
immunity conferred by carriage of the bacteria together with seasonal changes in the
transmissibility of infection. This suggests that population immunity is an important factor to
include in models attempting to predict meningitis epidemics