Demographic and environmental factors associated with the distribution of Aedes albopictus in Cameroon.

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Therefore, the aim was to develop an Ae. albopictus geo-referenced database to examine the risk factors associated with the vector distribution in Cameroon. Data on the Ae. albopictus presence and absence were collated and mapped from studies in published scientific literature between 2000 and 2020. Publicly available earth observation data were used to assess human geography, land use and climate risk factors related to the vector distribution. A logistic binomial regression was conducted to identify the significant risk factors associated with Ae. albopictus distribution. In total, 111 data points were collated (presence = 87; absence = 24). Different data collection methods and sites hindered the spatiotemporal analysis. An increase of one wet month in a year increased the odds of Ae. albopictus presence by 5.6 times. One unit of peri-urban area increased the odds by 1.3 times. Using publicly available demographic and environmental data to better understand the key determinants of mosquito distributions may facilitate appropriately targeted public health messages and vector control strategies.", "claims": [{"id": "claim-method", "statement": "Then, a binomial logistic regression model was constructed using variance inflation factor (vif) to determine multicollinearity (excluded vif >5) of variables and stepwise analysis by AIC to select among the 13 variables collected for the final model.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36264191", "locator": "sections[5] \"Mapping and analysis\" paragraph 4", "quote": "Then, a binomial logistic regression model was constructed using variance inflation factor (vif) to determine multicollinearity (excluded vif >5) of variables and stepwise analysis by AIC to select among the 13 variables collected for the final model."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All datasets used for this work are publicly available, in the manuscript or in the additional material.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36264191", "locator": "sections[18] \"DATA AVAILABILITY STATEMENT\" paragraph 2", "quote": "All datasets used for this work are publicly available, in the manuscript or in the additional material."}], "state": "complete"}, {"id": "claim-target-result", "statement": "An increase of one wet month in a year increased the odds of Ae. albopictus presence by 5.6 times.", "kind": "quantitative", "target": {"value": 5.6, "unit": "fold change", "tolerance": null, "source": "An increase of one wet month in a year increased the odds of Ae. albopictus presence by 5.6 times."}, "evidence": [{"asset": "source:pmid:36264191", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "An increase of one wet month in a year increased the odds of Ae. albopictus presence by 5.6 times."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "An increase of one wet month in a year increased the odds of Ae. albopictus presence by 5.6 times.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:36264191"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "blocked", "blocked_on": "data:accession_absent", "description": "The GEO series accession resolves and its sample accessions are listed. 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