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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Spatial clustering and risk factors of malaria infections in Bata district, Equatorial Guinea
|
|---|---|
| Published in |
Malaria Journal, April 2017
|
| DOI | 10.1186/s12936-017-1794-z |
| Pubmed ID | |
| Authors |
Diana Gómez-Barroso, Emely García-Carrasco, Zaida Herrador, Policarpo Ncogo, María Romay-Barja, Martín Eka Ondo Mangue, Gloria Nseng, Matilde Riloha, Maria Angeles Santana, Basilio Valladares, Pilar Aparicio, Agustín Benito |
| Abstract |
The transmission of malaria is intense in the majority of the countries of sub-Saharan Africa, particularly in those that are located along the Equatorial strip. The present study aimed to describe the current distribution of malaria prevalence among children and its environment-related factors as well as to detect malaria spatial clusters in the district of Bata, in Equatorial Guinea. From June to August 2013 a representative cross-sectional survey using a multistage, stratified, cluster-selected sample was carried out of children in urban and rural areas of Bata District. All children were tested for malaria using rapid diagnostic tests (RDTs). Results were linked to each household by global position system data. Two cluster analysis methods were used: hot spot analysis using the Getis-Ord Gi statistic, and the SaTScan™ spatial statistic estimates, based on the assumption of a Poisson distribution to detect spatial clusters. In addition, univariate associations and Poisson regression model were used to explore the association between malaria prevalence at household level with different environmental factors. A total of 1416 children aged 2 months to 15 years living in 417 households were included in this study. Malaria prevalence by RDTs was 47.53%, being highest in the age group 6-15 years (63.24%, p < 0.001). Those children living in rural areas were there malaria risk is greater (65.81%) (p < 0.001). Malaria prevalence was higher in those houses located <1 km from a river and <3 km to a forest (IRR: 1.31; 95% CI 1.13-1.51 and IRR: 1.44; 95% CI 1.25-1.66, respectively). Poisson regression analysis also showed a decrease in malaria prevalence with altitude (IRR: 0.73; 95% CI 0.62-0.86). A significant cluster inland of the district, in rural areas has been found. This study reveals a high prevalence of RDT-based malaria among children in Bata district. Those households situated in inland rural areas, near to a river, a green area and/or at low altitude were a risk factor for malaria. Spatial tools can help policy makers to promote new recommendations for malaria control. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 2 | 40% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 1% |
| Unknown | 92 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 26% |
| Researcher | 14 | 15% |
| Student > Bachelor | 6 | 6% |
| Student > Doctoral Student | 5 | 5% |
| Student > Ph. D. Student | 4 | 4% |
| Other | 13 | 14% |
| Unknown | 27 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 23% |
| Nursing and Health Professions | 7 | 8% |
| Agricultural and Biological Sciences | 7 | 8% |
| Social Sciences | 5 | 5% |
| Environmental Science | 4 | 4% |
| Other | 14 | 15% |
| Unknown | 35 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 April 2017.
All research outputs
#13,895,065
of 24,580,204 outputs
Outputs from Malaria Journal
#3,077
of 5,786 outputs
Outputs of similar age
#151,054
of 314,481 outputs
Outputs of similar age from Malaria Journal
#70
of 136 outputs
Altmetric has tracked 24,580,204 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,786 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 314,481 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.