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1.
BMC Public Health ; 18(Suppl 4): 1305, 2018 Dec 13.
Artículo en Inglés | MEDLINE | ID: mdl-30541508

RESUMEN

BACKGROUND: Eradication of polio requires that the acute flaccid paralysis (AFP) surveillance system is sensitive enough to detect all cases of AFP, and that such cases are promptly reported and investigated by disease surveillance personnel. When individuals, particularly community informants, are unaware of how to properly detect AFP cases or of the appropriate reporting process, they are unable to provide important feedback to the surveillance network within a country. METHODS: We tested a new SMS-based smartphone application (App) that enhances the detection and reporting of AFP cases to improve the quality of AFP surveillance. Nicknamed Auto-Visual AFP Detection and Reporting (AVADAR), the App creates a scenario where the AFP surveillance network is not dependent on a limited number of priority reporting sites. Being installed on the smartphones of multiple health workers (HWs) and community health informants (CHIs) makes the App an integral part of the detection and reporting system. RESULTS: Results from two phases of tests conducted in Nigeria point to the effectiveness of the App in the surveillance of AFP. CONCLUSION: We posit that appropriate use of the App can soon bring about a worldwide eradication of poliomyelitis.


Asunto(s)
Aplicaciones Móviles , Hipotonía Muscular/epidemiología , Parálisis/epidemiología , Vigilancia de la Población/métodos , Teléfono Inteligente , Envío de Mensajes de Texto , Enfermedad Aguda , Niño , Erradicación de la Enfermedad , Humanos , Nigeria/epidemiología , Poliomielitis/prevención & control
2.
JMIR Public Health Surveill ; 10: e54250, 2024 Jun 21.
Artículo en Inglés | MEDLINE | ID: mdl-38904997

RESUMEN

Geospatial data reporting from surveillance and immunization efforts is a key aspect of the World Health Organization (WHO) Global Polio Eradication Initiative in Africa. These activities are coordinated through the WHO Regional Office for Africa Geographic Information Systems Centre. To ensure the accuracy of field-collected data, the WHO Regional Office for Africa Geographic Information Systems Centre has developed mobile phone apps such as electronic surveillance (eSURV) and integrated supportive supervision (ISS) geospatial data collection programs. While eSURV and ISS have played a vital role in efforts to eradicate polio and control other communicable diseases in Africa, disease surveillance efforts have been hampered by incomplete and inaccurate listings of health care sites throughout the continent. To address this shortcoming, data compiled from eSURV and ISS are being used to develop, update, and validate a Health Facility master list for the WHO African region that contains comprehensive listings of the names, locations, and types of health facilities in each member state. The WHO and Ministry of Health field officers are responsible for documenting and transmitting the relevant geospatial location information regarding health facilities and traditional medicine sites using the eSURV and ISS form; this information is then used to update the Health Facility master list and is also made available to national ministries of health to update their respective health facility lists. This consolidation of health facility information into a single registry is expected to improve disease surveillance and facilitate epidemiologic research for the Global Polio Eradication Initiative, as well as aid public health efforts directed at other diseases across the African continent. This review examines active surveillance using eSURV at the district, country, and regional levels, highlighting its role in supporting polio surveillance and immunization efforts, as well as its potential to serve as a fundamental basis for broader public health initiatives and research throughout Africa.


Asunto(s)
Instituciones de Salud , Poliomielitis , Organización Mundial de la Salud , Humanos , Poliomielitis/epidemiología , Poliomielitis/prevención & control , África/epidemiología , Instituciones de Salud/estadística & datos numéricos , Vigilancia de la Población/métodos , Sistemas de Información Geográfica , Erradicación de la Enfermedad/métodos
3.
Int J Infect Dis ; 10(2): 148-55, 2006 Mar.
Artículo en Inglés | MEDLINE | ID: mdl-16275043

RESUMEN

OBJECTIVE: To characterize the province-specific incidence patterns of measles in Cameroon and determine if an increase in measles incidence during the period January 2000-June 2001 is consistent with coincident epidemics in several regions with different inter-epidemic periods. METHOD: Periodic behavior of the monthly measles incidence time-series from each province of Cameroon was analyzed using time-series analysis and cluster techniques. Cumulative incidence in each province of Cameroon over a five-year period was associated with birth rates, and vaccination coverage. RESULTS: Distinct patterns of measles incidence were found in two different areas of Cameroon. The three northern-most provinces experience major epidemics every year. Seven southern provinces show evidence of experiencing major epidemics every third year. In January 2000, Cameroon experienced coincident peaks in these two cycles and thus an increase in measles incidence countrywide over the previous year. Higher cumulative province-specific incidence rates were associated with higher birth rates and lower routine vaccination coverage rates. CONCLUSION: Within one country, two dramatically different dynamic patterns of measles incidence were observed. Long-term surveillance data is crucial to the evaluation of measles immunization campaigns. The availability of a five-year record of measles incidence in Cameroon reveals an interesting dynamic pattern of measles incidence that accounts for the increase in countrywide incidence in 2000-2001.


Asunto(s)
Brotes de Enfermedades/estadística & datos numéricos , Sarampión/epidemiología , Vigilancia de la Población , Camerún/epidemiología , Análisis por Conglomerados , Humanos , Incidencia , Modelos Lineales , Vacuna Antisarampión/administración & dosificación , Modelos Biológicos , Periodicidad , Dinámica Poblacional , Factores de Riesgo
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