RESUMEN
Human metapneumovirus is an emerging pathogen that causes upper and lower respiratory illness. Nursing home outbreaks of infection with this virus can cause severe illness and lead to poor patient outcomes. We report an outbreak investigation in a nursing home during 2018 and infection control guidelines to assist in disease control.
Asunto(s)
Brotes de Enfermedades , Metapneumovirus , Casas de Salud , Infecciones por Paramyxoviridae/epidemiología , Infecciones por Paramyxoviridae/virología , Infecciones del Sistema Respiratorio/epidemiología , Infecciones del Sistema Respiratorio/virología , Humanos , Metapneumovirus/clasificación , Metapneumovirus/genética , New Mexico/epidemiología , Infecciones por Paramyxoviridae/diagnóstico , Infecciones del Sistema Respiratorio/diagnóstico , Estados Unidos/epidemiologíaRESUMEN
Vector-borne diseases commonly emerge in urban landscapes, and Gaussian field models can be used to create risk maps of vector presence across a large environment. However, these models do not account for the possibility that streets function as permeable barriers for insect vectors. We describe a methodology to transform spatial point data to incorporate permeable barriers, by distorting the map to widen streets, with one additional parameter. We use Gaussian field models to estimate this additional parameter, and develop risk maps incorporating streets as permeable barriers. We demonstrate our method on simulated datasets and apply it to data on Triatoma infestans, a vector of Chagas disease in Arequipa, Peru. We found that the transformed landscape that best fit the observed pattern of Triatoma infestans infestation, approximately doubled the true Euclidean distance between neighboring houses on different city blocks. Our findings may better guide control of re-emergent insect populations.