Joan Neyra
Research Subjects
Joan Neyra has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- David L. Blazes
Armed Forces Health Surveillance Center, 11800 Tech Rd, Silver Spring, MD 20904, USA
2 shared publications - Giselle Soto
US Naval Medical Research Center Detachment, Lima, Peru
2 shared publications - Miguel Fernandez
Centro Medico Naval, Lima, Peru
2 shared publications - C Cecilia Mundaca
Emerging Infections Program, U.S. Naval Medical Research Center Detachment (NMRCD), Lima, Peru
1 shared publication - Carlos Leturia
Dirección de Epidemiologia del Ejército, Lima, Peru
1 shared publication - Carmen C Mundaca
US Naval Medical Research Center Detachment, Lima, Peru
1 shared publication
Latest Publications
- Open Access
- 10 March 2009
- Published by Springer Nature in BMC Medical Informatics and Decision Making
- Vol. 9 (1) , 16
Impact of two interventions on timeliness and data quality of an electronic disease surveillance system in a resource limited setting (Peru): a prospective evaluation
A timely detection of outbreaks through surveillance is needed in order to prevent future pandemics. However, current surveillance systems may not be prepared to accomplish this goal, especially in resource limited settings. As data quality and timeliness are attributes that improve outbreak detection capacity, we assessed the effect of two interventions on such attributes in Alerta, an electronic disease surveillance system in the Peruvian Navy.
- 10 March 2009
- Published by Springer Nature in BMC Medical Informatics and Decision Making
- Vol. 9 (1) , 16
Open AccessImpact of two interventions on timeliness and data quality of an electronic disease surveillance system in a resource limited setting (Peru): a prospective evaluation
A timely detection of outbreaks through surveillance is needed in order to prevent future pandemics. However, current surveillance systems may not be prepared to accomplish this goal, especially in resource limited settings. As data quality and timeliness are attributes that improve outbreak detection capacity, we assessed the effect of two interventions on such attributes in Alerta, an electronic disease surveillance system in the Peruvian Navy.
- Open Access
- 14 November 2008
- Published by Springer Nature in BMC Proceedings
- Vol. 2 (S3) , S4
Challenges in the implementation of an electronic surveillance system in a resource-limited setting: Alerta, in Peru
Infectious disease surveillance is a primary public health function in resource-limited settings. In 2003, an electronic disease surveillance system (Alerta) was established in the Peruvian Navy with support from the U.S. Naval Medical Research Center Detachment (NMRCD). Many challenges arose during the implementation process, and a variety of solutions were applied. The purpose of this paper is to identify and discuss these issues. This is a retrospective description of the Alerta implementation. After a thoughtful evaluation according to the Centers for Disease Control and Prevention (CDC) guidelines, the main challenges to implementation were identified and solutions were devised in the context of a resource-limited setting, Peru. After four years of operation, we have identified a number of challenges in implementing and operating this electronic disease surveillance system. These can be divided into the following categories: (1) issues with personnel and stakeholders; (2) issues with resources in a developing setting; (3) issues with processes involved in the collection of data and operation of the system; and (4) issues with organization at the central hub. Some of the challenges are unique to resource-limited settings, but many are applicable for any surveillance system. For each of these challenges, we developed feasible solutions that are discussed. There are many challenges to overcome when implementing an electronic disease surveillance system, not only related to technology issues. A comprehensive approach is required for success, including: technical support, personnel management, effective training, and cultural sensitivity in order to assure the effective deployment of an electronic disease surveillance system.
- 14 November 2008
- Published by Springer Nature in BMC Proceedings
- Vol. 2 (S3) , S4
Open AccessChallenges in the implementation of an electronic surveillance system in a resource-limited setting: Alerta, in Peru
Infectious disease surveillance is a primary public health function in resource-limited settings. In 2003, an electronic disease surveillance system (Alerta) was established in the Peruvian Navy with support from the U.S. Naval Medical Research Center Detachment (NMRCD). Many challenges arose during the implementation process, and a variety of solutions were applied. The purpose of this paper is to identify and discuss these issues. This is a retrospective description of the Alerta implementation. After a thoughtful evaluation according to the Centers for Disease Control and Prevention (CDC) guidelines, the main challenges to implementation were identified and solutions were devised in the context of a resource-limited setting, Peru. After four years of operation, we have identified a number of challenges in implementing and operating this electronic disease surveillance system. These can be divided into the following categories: (1) issues with personnel and stakeholders; (2) issues with resources in a developing setting; (3) issues with processes involved in the collection of data and operation of the system; and (4) issues with organization at the central hub. Some of the challenges are unique to resource-limited settings, but many are applicable for any surveillance system. For each of these challenges, we developed feasible solutions that are discussed. There are many challenges to overcome when implementing an electronic disease surveillance system, not only related to technology issues. A comprehensive approach is required for success, including: technical support, personnel management, effective training, and cultural sensitivity in order to assure the effective deployment of an electronic disease surveillance system.