Objective: to identify international congenital anomaly surveillance collaboration networks, to list the programs that compose them and to compare their main characteristics. Methods: this was a narrative literature review by means of a MEDLINE database search (via PubMed) and searches involving websites, reports and official documents. Results: six international congenital anomaly surveillance collaboration networks were identified (ECLAMC, ICBDSR, EUROCAT, BINOCAR, SEAR-NBBD and ReLAMC), comprised of 98 programs present in 58 different countries on all continents, except Africa; the main characteristics regarding type of surveillance, coverage and location were discussed in a comparative manner. Conclusion: international collaborative networks are important players for congenital anomaly surveillance, contributing to the understanding of the global epidemiological scenario of these conditions, in addition to acting both to strengthen individual existing programs and also to create surveillance initiatives in unassisted regions.

Objective: to characterize confirmed human leptospirosis cases resident in Porto Alegre, Rio Grande do Sul, Brazil, between 2007 and 2013, and their spatial distribution. Methods: this was a descriptive study of cases registered on the Notifiable Diseases Information System; we investigated neighborhoods and areas in the catchment area of Health Units (US) with highest case occurrence, using spatial analysis as per the Kernel technique. Results: 228 cases were confirmed in the period, with cumulative incidence of 2.3 cases/100,000 inhabitants; the majority were adult males (81.6%), economically active (82.5%) and had low schooling (45.8%); the main occupations were recyclable waste collector (15.8%) and builder/ builder's mate (15.2%); six priority US were identified for leptospirosis control and prevention actions. Conclusion: the epidemiological profile and spatial distribution of cases suggest that there continue to be environmental risk factors favoring human leptospirosis occurrence in these areas.

Objective: To propose a list of congenital anomalies having corresponding codes in the International Statistical Classification of Diseases and Related Health Problems, 10 th Revision (ICD-10), with the aim of applying it in health surveillance. Methods: In December 2019, the following data sources were searched: ICD-10; ICD-11; anomalies monitored by three surveillance programs; and a database of rare diseases (Orphanet). Anomalies were retrieved from these data sources, processed to check for correspondence with ICD-10 and reviewed manually to compile the list. Results: 898 codes were identified, of which 619 (68.9%) were contained in ICD-10 Chapter XVII. Of the 279 codes contained in other chapters, 19 were exclusive to the ICD-11 search, 72 to the surveillance programs, 79 to Orphanet and 36 to the search for terms in ICD-10. Conclusion: The codes contained in ICD-10 Chapter XVII do not capture the totality of congenital anomalies, indicating the need to adopt an expanded list.

Resumo Objetivo: Propor uma lista de anomalias congênitas com códigos correspondentes na Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde – 10ᵃ Revisão (CID-10), visando a aplicação no âmbito da vigilância em saúde. Métodos: Em dezembro de 2019, realizou-se busca nas seguintes fontes de dados: CID-10; CID-11; anomalias monitoradas por três modelos de vigilância; base de informações sobre doenças raras (Orphanet). Realizou-se extração das anomalias a partir dessas fontes, processamento para correspondência com base na CID-10 e compilação mediante revisão manual. Resultados: Foram identificados 898 códigos, dos quais 619 (68,9%) constavam no capítulo XVII da CID-10. Dos 279 códigos de outros capítulos, 19 foram exclusivos da busca na CID-11, 72 dos modelos de vigilância, 79 da Orphanet e 36 da busca de termos na CID-10. Conclusão: Os códigos que constam do capítulo XVII da CID-10 não captam a totalidade das anomalias congênitas, indicando a necessidade de adoção de uma lista ampliada.