Migration and measles

Wiysonge, Charles Shey; Mawo, Jeanne Ngo-Ndjan; Ticha, Johnson Muluh; Nomo, E; Shey, Muki

doi:10.1093/ije/dyi197

Cited by 6 publications

(4 citation statements)

References 4 publications

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“…2 The morbidity and mortality of the under 5 to measles is known to be very high than for the other age groups. 3,10,11 This applies for any exanthemas and explains why a lot of effort is usually used to address health issues such as vaccine preventable diseases in this age group.…”

Section: Discussionmentioning

confidence: 99%

Case based measles surveillance performance in 2010, littoral region of Cameroon

Sume

Kobela²,

Delissaint

et al. 2014

J Public Health Africa

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The Littoral region of Cameroon met most of its routine immunization and surveillance objectives in 2010 but has not reiterated such a performance since then. We describe the case-based measles surveillance performance of 2010 by person, place, time and determine measles surveillance system delays. Descriptive statistics were performed using Epi Info 3.5.3. There were 130 suspected measles cases investigated by 17 (89.5%) health districts, 83 (64%) males and 99 (76%) ≤5 years. At least 4 cases were investigated per month with a peak of 23 cases in June. About 67 (51.5%) patients visited a hospital more than 48 h after disease onset, 34 (26.2%) health facilities informed the district service late after receiving a suspected case and 65 (50%) samples got to the reference laboratory more than 24 hours after reception by the specimen collection centre. More than 2 discarded measles/100,000 population were investigated but with health facilities, specimen collection centre and patients’ ability to seek healthcare delays. All specimens got to the reference laboratory within 72 h. Patients’ health seeking behavior need to be improved and personnel involved in surveillance sensitized on timeliness.

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Section: Discussionmentioning

confidence: 99%

Case based measles surveillance performance in 2010, littoral region of Cameroon

Sume

Kobela²,

Delissaint

et al. 2014

J Public Health Africa

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“…Table 1 shows the performance of yellow fever case-based surveillance in Cameroon. Since 2003 yellow fever surveillance in the country has been fully integrated with surveillance activities for acute flaccid paralysis and measles [ 16 , 18 , 24 ]. The surveillance of all three vaccine-preventable diseases share the same personnel and infrastructure at all levels of Cameroon's health care system, including personnel for reporting and investigation of suspected cases, specimen transport, and data management systems.…”

Section: Resultsmentioning

confidence: 99%

Yellow fever control in Cameroon: Where are we now and where are we going?

Wiysonge

Nomo

Mawo

et al. 2008

BMC Med

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Background: Cameroon is one of 12 African countries that bear most of the global burden of yellow fever. In 2002 the country developed a five-year strategic plan for yellow fever control, which included strategies for prevention as well as rapid detection and response to outbreaks when they occur. We have used data collected by the national Expanded Programme on Immunisation to assess the progress made and challenges faced during the first four years of implementing the plan.

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“…The populations live primarily in rural areas, but the massive rural exodus has caused a substantial demographic expansion of urban centers where living conditions are poor because of no a lack of urban planning. In terms of geography, Cameroon is characterized by a diverse natural environment spreading across its different regions [ 27 ]. The country displays two main climate types (tropical and equatorial) which are further subdivided into four sub-types; (i) the Sahelian climate in the Far North with a rainfall average between 400 and 900 mm and temperatures averaging 28 °C, (ii) the Sudanese tropical climate in the North with average rainfall between 900 and 1500 mm and temperatures averaging 28 °C, (iii) the equatorial climate in the Southern, Central and Eastern regions characterized by two dry seasons and two rainy seasons with abundant rainfall (between 1500 and 2000 mm) and temperatures averaging 25 °C, and finally (iv) the Cameroonian equatorial climate in the coast and western highlands with abundant rainfall (between 2000 and 10,000 mm) and temperatures averaging 26 °C [ 28 , 29 ].…”

Section: Methodsmentioning

confidence: 99%

Prevalence and risk factors determinants of the non-use of insecticide-treated nets in an endemic area for malaria: analysis of data from Cameroon

Kuetche

Tabue

Fokoua-Maxime

et al. 2023

Malar J

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Background Malaria is the main cause of morbidity and mortality in Cameroon. Insecticide-treated nets (ITNs) significantly reduce malaria transmission, but their use is not common in the population. This study aimed to estimate the nationwide prevalence of the non-use of ITNs and identify its major determinants. Methods A cross-sectional study was conducted on interview data collected in households selected across all the regions of Cameroon through a non-probabilistic, random, 2-stage stratified sampling process. Descriptive statistics were used to describe the distribution of baseline characteristics across the households, and statistical tests assessed if the distribution of these characteristics differed significantly based on the non-use of ITNs, with 0.05 serving as a threshold of the p-value for statistical significance. The prevalence of the non-use of ITNs was estimated, and logistic regression models were used to tally the odds ratios of the associations between various factors and the non-use of ITNs, along with their 95% confidence intervals. The sensitivity, specificity, and area under the receiver operating characteristic (ROC) curve (AUC) were determined, and the Hosmer Lemeshow test was used to measure the goodness of fit of each statistical model. Results Of the 7593 households interviewed, 77% had at least one ITN and 59% of the population used ITNs. Only 72% of the population with at least one ITN used it. The logistic model of the multivariate analysis was significant at a 5% threshold. The AUC was 0.7087 and the error rate was 18.01%. The sensitivity and specificity of the model were 97.56% and 13.70%, respectively. The factors that were associated with ITN use were the presence of sufficient nets in the household (p < 0.0001), the region of residence (p < 0.0001), the level of education of the respondent (p < 0.0001), and the standard of living (p = 0.0286). Sex, age, colour preferences, as well as the shape and size of the nets were not associated with ITN use. Conclusions The use of ITNs in Cameroon was low and varied according to specific factors. These identified factors could be used as the foundations of effective sensitization campaigns on the importance of ITNs.

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Migration and measles

Cited by 6 publications

References 4 publications

Case based measles surveillance performance in 2010, littoral region of Cameroon

Case based measles surveillance performance in 2010, littoral region of Cameroon

Yellow fever control in Cameroon: Where are we now and where are we going?

Prevalence and risk factors determinants of the non-use of insecticide-treated nets in an endemic area for malaria: analysis of data from Cameroon

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